Predictive filtering for microsatellite control system
Front Cover -- Predictive Filtering for Microsatellite Control System -- Copyright -- Contents -- List of figures -- List of tables -- List of algorithms -- Biography -- Lu Cao -- Xiaoqian Chen -- Bing Xiao -- Preface -- Acknowledgments -- Symbols and abbreviations -- 1 Overview -- 1.1 Introduction...
Ausführliche Beschreibung
Gespeichert in:
| Autor*in: |
Cao, Lu [verfasserIn] Chen, Xiaoqian [verfasserIn] Xiao, Bing [verfasserIn] |
|---|
| Format: |
E-Book |
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| Sprache: |
Englisch |
| Erschienen: |
London San Diego, CA: Academic Press ; 2021 |
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| Schlagwörter: |
Signal processing, Digital techniques |
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| Formangabe: |
Electronic books |
| Umfang: |
1 Online-Ressource (1 online resource) |
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| Links: | |
|---|---|
| ISBN: |
0-12-821865-7 978-0-12-821865-5 0-12-821866-5 978-0-12-821866-2 |
| Katalog-ID: |
1759859826 |
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| 520 | |a Front Cover -- Predictive Filtering for Microsatellite Control System -- Copyright -- Contents -- List of figures -- List of tables -- List of algorithms -- Biography -- Lu Cao -- Xiaoqian Chen -- Bing Xiao -- Preface -- Acknowledgments -- Symbols and abbreviations -- 1 Overview -- 1.1 Introduction -- 1.2 Microsatellite control system and its design -- 1.2.1 Microsatellite control system -- 1.2.2 Microsatellite control system design -- 1.3 Attitude and orbit determination subsystem design -- 1.3.1 Sensors for microsatellite control system -- 1.3.2 State estimation method design | ||
| 520 | |a 1.3.2.1 Observer-based state estimation -- 1.3.2.2 Filtering-based state estimation -- 1.4 Review of nonlinear filtering -- 1.4.1 Nonlinear Kalman filtering -- 1.4.1.1 Extended Kalman filtering -- 1.4.1.2 Sigma-point Kalman filtering -- 1.4.2 Predictive filtering -- 1.4.3 Particle filtering -- 1.4.4 Robust filtering -- 1.4.5 Nonlinear filters applied to satellite control system -- 1.5 Motivations for predictive filtering for microsatellite control systems -- 1.6 What is in this book -- Part I Preliminaries -- 2 Fundamental of predictive filtering -- 2.1 Introduction | ||
| 520 | |a 2.2 Basic probability of random vector -- 2.2.1 Random vector -- 2.2.2 Mean vector -- 2.2.3 Covariance matrix -- 2.2.4 Normal distribution random vector -- 2.2.5 White noise process -- 2.3 Preliminary definitions and lemma -- 2.4 Desired properties of filter -- 2.5 Basic theory of predictive filtering -- 2.5.1 Derivation of predictive filter -- 2.5.2 Estimation performance of predictive filter -- 2.5.2.1 Estimation performance of modeling error -- 2.5.2.2 State estimation performance of predictive filter -- 2.6 Summary -- 3 Modeling of microsatellite control system -- 3.1 Introduction | ||
| 520 | |a 3.2 Definition of coordinate frames -- 3.3 Modeling of single microsatellite control system -- 3.3.1 Mathematical model of attitude control system -- 3.3.2 Mathematical model of orbit control system -- 3.4 Modeling of microsatellite formation flying control system -- 3.4.1 Definition of dimensionless expressions -- 3.4.2 Assumption of small eccentricity -- 3.4.3 J2 and atmospheric drag perturbations -- 3.4.4 Orbit propagation of the chief microsatellite -- 3.4.5 Effect of perturbation forces on relative motion -- 3.4.5.1 Effect of the J2 perturbation on relative motion | ||
| 520 | |a 3.4.5.2 Effect of the drag perturbation on relative motion -- 3.4.6 System equation of relative motion -- 3.4.6.1 Calculation of orbital angular velocity -- 3.4.6.2 Summary of the relative motion equation -- 3.4.6.3 Verification of the established relative motion equation -- 3.4.7 Modeling of microsatellite formation flying control system -- 3.4.7.1 Modeling of relative position control system -- 3.4.7.2 Modeling of relative attitude control system -- 3.5 Modeling of distributed microsatellite attitude control system -- 3.6 Summary | ||
| 520 | |a Predictive Filtering for Microsatellite Control Systems introduces technological design, modeling, stability analysis, predictive filtering, state estimation problem and real-time operation of spacecraft control systems in aerospace engineering. The book gives a systematically and almost self-contained description of the many facets of envisaging, designing, implementing or experimentally exploring predictive filtering for spacecraft control systems, along with the adequate designs of integrated modeling, dynamics, state estimation, and signal processing of spacecrafts and nonlinear systems | ||
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0128218657 electronic book 0-12-821865-7 9780128218655 electronic book 978-0-12-821865-5 0128218665 electronic book 0-12-821866-5 9780128218662 electronic bk. 978-0-12-821866-2 (DE-627)1759859826 (DE-599)KEP06574036X (ELSEVIER)on1225354769 (EBP)06574036X DE-627 eng DE-627 rda eng XA-GB TL795.4 629.46 Cao, Lu verfasserin aut Predictive filtering for microsatellite control system Lu Cao, Xiaoqian Chen, Bing Xiao London San Diego, CA Academic Press [2021] 1 Online-Ressource (1 online resource) Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Front Cover -- Predictive Filtering for Microsatellite Control System -- Copyright -- Contents -- List of figures -- List of tables -- List of algorithms -- Biography -- Lu Cao -- Xiaoqian Chen -- Bing Xiao -- Preface -- Acknowledgments -- Symbols and abbreviations -- 1 Overview -- 1.1 Introduction -- 1.2 Microsatellite control system and its design -- 1.2.1 Microsatellite control system -- 1.2.2 Microsatellite control system design -- 1.3 Attitude and orbit determination subsystem design -- 1.3.1 Sensors for microsatellite control system -- 1.3.2 State estimation method design 1.3.2.1 Observer-based state estimation -- 1.3.2.2 Filtering-based state estimation -- 1.4 Review of nonlinear filtering -- 1.4.1 Nonlinear Kalman filtering -- 1.4.1.1 Extended Kalman filtering -- 1.4.1.2 Sigma-point Kalman filtering -- 1.4.2 Predictive filtering -- 1.4.3 Particle filtering -- 1.4.4 Robust filtering -- 1.4.5 Nonlinear filters applied to satellite control system -- 1.5 Motivations for predictive filtering for microsatellite control systems -- 1.6 What is in this book -- Part I Preliminaries -- 2 Fundamental of predictive filtering -- 2.1 Introduction 2.2 Basic probability of random vector -- 2.2.1 Random vector -- 2.2.2 Mean vector -- 2.2.3 Covariance matrix -- 2.2.4 Normal distribution random vector -- 2.2.5 White noise process -- 2.3 Preliminary definitions and lemma -- 2.4 Desired properties of filter -- 2.5 Basic theory of predictive filtering -- 2.5.1 Derivation of predictive filter -- 2.5.2 Estimation performance of predictive filter -- 2.5.2.1 Estimation performance of modeling error -- 2.5.2.2 State estimation performance of predictive filter -- 2.6 Summary -- 3 Modeling of microsatellite control system -- 3.1 Introduction 3.2 Definition of coordinate frames -- 3.3 Modeling of single microsatellite control system -- 3.3.1 Mathematical model of attitude control system -- 3.3.2 Mathematical model of orbit control system -- 3.4 Modeling of microsatellite formation flying control system -- 3.4.1 Definition of dimensionless expressions -- 3.4.2 Assumption of small eccentricity -- 3.4.3 J2 and atmospheric drag perturbations -- 3.4.4 Orbit propagation of the chief microsatellite -- 3.4.5 Effect of perturbation forces on relative motion -- 3.4.5.1 Effect of the J2 perturbation on relative motion 3.4.5.2 Effect of the drag perturbation on relative motion -- 3.4.6 System equation of relative motion -- 3.4.6.1 Calculation of orbital angular velocity -- 3.4.6.2 Summary of the relative motion equation -- 3.4.6.3 Verification of the established relative motion equation -- 3.4.7 Modeling of microsatellite formation flying control system -- 3.4.7.1 Modeling of relative position control system -- 3.4.7.2 Modeling of relative attitude control system -- 3.5 Modeling of distributed microsatellite attitude control system -- 3.6 Summary Predictive Filtering for Microsatellite Control Systems introduces technological design, modeling, stability analysis, predictive filtering, state estimation problem and real-time operation of spacecraft control systems in aerospace engineering. The book gives a systematically and almost self-contained description of the many facets of envisaging, designing, implementing or experimentally exploring predictive filtering for spacecraft control systems, along with the adequate designs of integrated modeling, dynamics, state estimation, and signal processing of spacecrafts and nonlinear systems Microspacecraft Signal processing Digital techniques Microspacecraft Signal processing ; Digital techniques Petits vehicules spatiaux (CaQQLa)201-0359818 Traitement du signal - Techniques numeriques (CaQQLa)201-0087536 Electronic books Chen, Xiaoqian verfasserin aut Xiao, Bing verfasserin aut 9780128218662 0128218657 9780128218655 Erscheint auch als Druck-Ausgabe 9780128218662 Erscheint auch als Druck-Ausgabe 0128218657 9780128218655 https://www.sciencedirect.com/science/book/9780128218655 X:ELSEVIER Verlag lizenzpflichtig GBV-33-Freedom 2021 GBV-33-EBS-MRI GBV-33-EBS-ZHB GBV-33-Freedom 2022 ZDB-33-EBS ZDB-33-EGE 2021 ZDB-33-ESD BSZ-33-EBS-HSAA GBV-33-Freedom 2023 BSZ-33-ESD-L1FH GBV-33-EBS-HST BSZ-33-EBS-C1UB GBV_ILN_60 ISIL_DE-705 SYSFLAG_1 GBV_KXP GBV_ILN_105 ISIL_DE-841 GBV_ILN_132 ISIL_DE-959 GBV_ILN_185 ISIL_DE-Sra5 GBV_ILN_370 ISIL_DE-1373 GBV_ILN_2020 ISIL_DE-Ch1 GBV_ILN_2057 ISIL_DE-L189 GBV_ILN_2111 ISIL_DE-944 BO 045F 629.46 60 01 0705 4236040859 00 --%%-- --%%-- s --%%-- Vervielfältigungen (z.B. Kopien, Downloads) sind nur von einzelnen Kapiteln oder Seiten und nur zum eigenen wissenschaftlichen Gebrauch erlaubt. Keine Weitergabe an Dritte. Kein systematisches Downloaden durch Robots. Nur für Angehörige der HSU: Volltextzugang von außerhalb des Campus mit Anmeldung über Shibboleth mit Ihrer Bibliothekskennung z 20-12-22 105 01 0841 4074495406 OLR-ELV-TEST Vervielfältigungen (z.B. Kopien, Downloads) sind nur von einzelnen Kapiteln oder Seiten und nur zum eigenen wissenschaftlichen Gebrauch erlaubt. Die Weitergabe an Dritte sowie systematisches Downloaden sind untersagt. Testzugang ZHB Lübeck z 26-02-22 132 01 0959 4500006362 EBS Elsevier Vervielfältigungen (z.B. Kopien, Downloads) sind nur von einzelnen Kapiteln oder Seiten und nur zum eigenen wissenschaftlichen Gebrauch erlaubt. Keine Weitergabe an Dritte. Kein systematisches Downloaden durch Robots. Zeitlich begrenzte Lizenzierung k 13-03-24 185 01 3519 4514758868 OLR-EBS Vervielfältigungen (z.B. 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Kein systematisches Downloaden durch Robots. i z 20-06-24 2020 01 DE-Ch1 4520347017 00 --%%-- --%%-- n n Campuslizenz l01 03-05-24 2057 01 DE-L189 4467498974 00 --%%-- --%%-- --%%-- n Campuslizenz l01 24-01-24 2111 01 DE-944 4194663241 00 --%%-- E-Book Elsevier --%%-- n Elektronischer Volltext - Campuslizenz l01 05-10-22 60 01 0705 https://www.sciencedirect.com/science/book/9780128218655 105 01 0841 https://www.sciencedirect.com/science/book/9780128218655 132 01 0959 Zugriff nur für Angehörige der Hochschule Osnabrück im Hochschulnetz https://www.sciencedirect.com/science/book/9780128218655 185 01 3519 https://www.sciencedirect.com/science/book/9780128218655 370 01 4370 E-Book: Zugriff im HCU-Netz. Zugriff von außerhalb nur für HCU-Angehörige möglich https://www.sciencedirect.com/science/book/9780128218655 2020 01 DE-Ch1 https://www.sciencedirect.com/science/book/9780128218655 2057 01 DE-L189 HTWK-Zugang https://www.sciencedirect.com/science/book/9780128218655 2111 01 DE-944 https://www.sciencedirect.com/science/book/9780128218655 132 01 0959 00 EBooks Elsevier Engineering 105 01 0841 OLR-ELV-TEST 132 01 0959 EBS Elsevier 185 01 3519 OLR-EBS 370 01 4370 EBS Elsevier |
| spelling |
0128218657 electronic book 0-12-821865-7 9780128218655 electronic book 978-0-12-821865-5 0128218665 electronic book 0-12-821866-5 9780128218662 electronic bk. 978-0-12-821866-2 (DE-627)1759859826 (DE-599)KEP06574036X (ELSEVIER)on1225354769 (EBP)06574036X DE-627 eng DE-627 rda eng XA-GB TL795.4 629.46 Cao, Lu verfasserin aut Predictive filtering for microsatellite control system Lu Cao, Xiaoqian Chen, Bing Xiao London San Diego, CA Academic Press [2021] 1 Online-Ressource (1 online resource) Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Front Cover -- Predictive Filtering for Microsatellite Control System -- Copyright -- Contents -- List of figures -- List of tables -- List of algorithms -- Biography -- Lu Cao -- Xiaoqian Chen -- Bing Xiao -- Preface -- Acknowledgments -- Symbols and abbreviations -- 1 Overview -- 1.1 Introduction -- 1.2 Microsatellite control system and its design -- 1.2.1 Microsatellite control system -- 1.2.2 Microsatellite control system design -- 1.3 Attitude and orbit determination subsystem design -- 1.3.1 Sensors for microsatellite control system -- 1.3.2 State estimation method design 1.3.2.1 Observer-based state estimation -- 1.3.2.2 Filtering-based state estimation -- 1.4 Review of nonlinear filtering -- 1.4.1 Nonlinear Kalman filtering -- 1.4.1.1 Extended Kalman filtering -- 1.4.1.2 Sigma-point Kalman filtering -- 1.4.2 Predictive filtering -- 1.4.3 Particle filtering -- 1.4.4 Robust filtering -- 1.4.5 Nonlinear filters applied to satellite control system -- 1.5 Motivations for predictive filtering for microsatellite control systems -- 1.6 What is in this book -- Part I Preliminaries -- 2 Fundamental of predictive filtering -- 2.1 Introduction 2.2 Basic probability of random vector -- 2.2.1 Random vector -- 2.2.2 Mean vector -- 2.2.3 Covariance matrix -- 2.2.4 Normal distribution random vector -- 2.2.5 White noise process -- 2.3 Preliminary definitions and lemma -- 2.4 Desired properties of filter -- 2.5 Basic theory of predictive filtering -- 2.5.1 Derivation of predictive filter -- 2.5.2 Estimation performance of predictive filter -- 2.5.2.1 Estimation performance of modeling error -- 2.5.2.2 State estimation performance of predictive filter -- 2.6 Summary -- 3 Modeling of microsatellite control system -- 3.1 Introduction 3.2 Definition of coordinate frames -- 3.3 Modeling of single microsatellite control system -- 3.3.1 Mathematical model of attitude control system -- 3.3.2 Mathematical model of orbit control system -- 3.4 Modeling of microsatellite formation flying control system -- 3.4.1 Definition of dimensionless expressions -- 3.4.2 Assumption of small eccentricity -- 3.4.3 J2 and atmospheric drag perturbations -- 3.4.4 Orbit propagation of the chief microsatellite -- 3.4.5 Effect of perturbation forces on relative motion -- 3.4.5.1 Effect of the J2 perturbation on relative motion 3.4.5.2 Effect of the drag perturbation on relative motion -- 3.4.6 System equation of relative motion -- 3.4.6.1 Calculation of orbital angular velocity -- 3.4.6.2 Summary of the relative motion equation -- 3.4.6.3 Verification of the established relative motion equation -- 3.4.7 Modeling of microsatellite formation flying control system -- 3.4.7.1 Modeling of relative position control system -- 3.4.7.2 Modeling of relative attitude control system -- 3.5 Modeling of distributed microsatellite attitude control system -- 3.6 Summary Predictive Filtering for Microsatellite Control Systems introduces technological design, modeling, stability analysis, predictive filtering, state estimation problem and real-time operation of spacecraft control systems in aerospace engineering. The book gives a systematically and almost self-contained description of the many facets of envisaging, designing, implementing or experimentally exploring predictive filtering for spacecraft control systems, along with the adequate designs of integrated modeling, dynamics, state estimation, and signal processing of spacecrafts and nonlinear systems Microspacecraft Signal processing Digital techniques Microspacecraft Signal processing ; Digital techniques Petits vehicules spatiaux (CaQQLa)201-0359818 Traitement du signal - Techniques numeriques (CaQQLa)201-0087536 Electronic books Chen, Xiaoqian verfasserin aut Xiao, Bing verfasserin aut 9780128218662 0128218657 9780128218655 Erscheint auch als Druck-Ausgabe 9780128218662 Erscheint auch als Druck-Ausgabe 0128218657 9780128218655 https://www.sciencedirect.com/science/book/9780128218655 X:ELSEVIER Verlag lizenzpflichtig GBV-33-Freedom 2021 GBV-33-EBS-MRI GBV-33-EBS-ZHB GBV-33-Freedom 2022 ZDB-33-EBS ZDB-33-EGE 2021 ZDB-33-ESD BSZ-33-EBS-HSAA GBV-33-Freedom 2023 BSZ-33-ESD-L1FH GBV-33-EBS-HST BSZ-33-EBS-C1UB GBV_ILN_60 ISIL_DE-705 SYSFLAG_1 GBV_KXP GBV_ILN_105 ISIL_DE-841 GBV_ILN_132 ISIL_DE-959 GBV_ILN_185 ISIL_DE-Sra5 GBV_ILN_370 ISIL_DE-1373 GBV_ILN_2020 ISIL_DE-Ch1 GBV_ILN_2057 ISIL_DE-L189 GBV_ILN_2111 ISIL_DE-944 BO 045F 629.46 60 01 0705 4236040859 00 --%%-- --%%-- s --%%-- Vervielfältigungen (z.B. Kopien, Downloads) sind nur von einzelnen Kapiteln oder Seiten und nur zum eigenen wissenschaftlichen Gebrauch erlaubt. Keine Weitergabe an Dritte. Kein systematisches Downloaden durch Robots. Nur für Angehörige der HSU: Volltextzugang von außerhalb des Campus mit Anmeldung über Shibboleth mit Ihrer Bibliothekskennung z 20-12-22 105 01 0841 4074495406 OLR-ELV-TEST Vervielfältigungen (z.B. Kopien, Downloads) sind nur von einzelnen Kapiteln oder Seiten und nur zum eigenen wissenschaftlichen Gebrauch erlaubt. Die Weitergabe an Dritte sowie systematisches Downloaden sind untersagt. Testzugang ZHB Lübeck z 26-02-22 132 01 0959 4500006362 EBS Elsevier Vervielfältigungen (z.B. Kopien, Downloads) sind nur von einzelnen Kapiteln oder Seiten und nur zum eigenen wissenschaftlichen Gebrauch erlaubt. Keine Weitergabe an Dritte. Kein systematisches Downloaden durch Robots. Zeitlich begrenzte Lizenzierung k 13-03-24 185 01 3519 4514758868 OLR-EBS Vervielfältigungen (z.B. Kopien, Downloads) sind nur von einzelnen Kapiteln oder Seiten und nur zum eigenen wissenschaftlichen Gebrauch erlaubt. Die Weitergabe an Dritte sowie systematisches Downloaden sind untersagt. z 23-04-24 370 01 4370 4540283820 EBS Elsevier Vervielfältigungen (z.B. Kopien, Downloads) sind nur von einzelnen Kapiteln oder Seiten und nur zum eigenen wissenschaftlichen Gebrauch erlaubt. Keine Weitergabe an Dritte. Kein systematisches Downloaden durch Robots. i z 20-06-24 2020 01 DE-Ch1 4520347017 00 --%%-- --%%-- n n Campuslizenz l01 03-05-24 2057 01 DE-L189 4467498974 00 --%%-- --%%-- --%%-- n Campuslizenz l01 24-01-24 2111 01 DE-944 4194663241 00 --%%-- E-Book Elsevier --%%-- n Elektronischer Volltext - Campuslizenz l01 05-10-22 60 01 0705 https://www.sciencedirect.com/science/book/9780128218655 105 01 0841 https://www.sciencedirect.com/science/book/9780128218655 132 01 0959 Zugriff nur für Angehörige der Hochschule Osnabrück im Hochschulnetz https://www.sciencedirect.com/science/book/9780128218655 185 01 3519 https://www.sciencedirect.com/science/book/9780128218655 370 01 4370 E-Book: Zugriff im HCU-Netz. Zugriff von außerhalb nur für HCU-Angehörige möglich https://www.sciencedirect.com/science/book/9780128218655 2020 01 DE-Ch1 https://www.sciencedirect.com/science/book/9780128218655 2057 01 DE-L189 HTWK-Zugang https://www.sciencedirect.com/science/book/9780128218655 2111 01 DE-944 https://www.sciencedirect.com/science/book/9780128218655 132 01 0959 00 EBooks Elsevier Engineering 105 01 0841 OLR-ELV-TEST 132 01 0959 EBS Elsevier 185 01 3519 OLR-EBS 370 01 4370 EBS Elsevier |
| allfields_unstemmed |
0128218657 electronic book 0-12-821865-7 9780128218655 electronic book 978-0-12-821865-5 0128218665 electronic book 0-12-821866-5 9780128218662 electronic bk. 978-0-12-821866-2 (DE-627)1759859826 (DE-599)KEP06574036X (ELSEVIER)on1225354769 (EBP)06574036X DE-627 eng DE-627 rda eng XA-GB TL795.4 629.46 Cao, Lu verfasserin aut Predictive filtering for microsatellite control system Lu Cao, Xiaoqian Chen, Bing Xiao London San Diego, CA Academic Press [2021] 1 Online-Ressource (1 online resource) Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Front Cover -- Predictive Filtering for Microsatellite Control System -- Copyright -- Contents -- List of figures -- List of tables -- List of algorithms -- Biography -- Lu Cao -- Xiaoqian Chen -- Bing Xiao -- Preface -- Acknowledgments -- Symbols and abbreviations -- 1 Overview -- 1.1 Introduction -- 1.2 Microsatellite control system and its design -- 1.2.1 Microsatellite control system -- 1.2.2 Microsatellite control system design -- 1.3 Attitude and orbit determination subsystem design -- 1.3.1 Sensors for microsatellite control system -- 1.3.2 State estimation method design 1.3.2.1 Observer-based state estimation -- 1.3.2.2 Filtering-based state estimation -- 1.4 Review of nonlinear filtering -- 1.4.1 Nonlinear Kalman filtering -- 1.4.1.1 Extended Kalman filtering -- 1.4.1.2 Sigma-point Kalman filtering -- 1.4.2 Predictive filtering -- 1.4.3 Particle filtering -- 1.4.4 Robust filtering -- 1.4.5 Nonlinear filters applied to satellite control system -- 1.5 Motivations for predictive filtering for microsatellite control systems -- 1.6 What is in this book -- Part I Preliminaries -- 2 Fundamental of predictive filtering -- 2.1 Introduction 2.2 Basic probability of random vector -- 2.2.1 Random vector -- 2.2.2 Mean vector -- 2.2.3 Covariance matrix -- 2.2.4 Normal distribution random vector -- 2.2.5 White noise process -- 2.3 Preliminary definitions and lemma -- 2.4 Desired properties of filter -- 2.5 Basic theory of predictive filtering -- 2.5.1 Derivation of predictive filter -- 2.5.2 Estimation performance of predictive filter -- 2.5.2.1 Estimation performance of modeling error -- 2.5.2.2 State estimation performance of predictive filter -- 2.6 Summary -- 3 Modeling of microsatellite control system -- 3.1 Introduction 3.2 Definition of coordinate frames -- 3.3 Modeling of single microsatellite control system -- 3.3.1 Mathematical model of attitude control system -- 3.3.2 Mathematical model of orbit control system -- 3.4 Modeling of microsatellite formation flying control system -- 3.4.1 Definition of dimensionless expressions -- 3.4.2 Assumption of small eccentricity -- 3.4.3 J2 and atmospheric drag perturbations -- 3.4.4 Orbit propagation of the chief microsatellite -- 3.4.5 Effect of perturbation forces on relative motion -- 3.4.5.1 Effect of the J2 perturbation on relative motion 3.4.5.2 Effect of the drag perturbation on relative motion -- 3.4.6 System equation of relative motion -- 3.4.6.1 Calculation of orbital angular velocity -- 3.4.6.2 Summary of the relative motion equation -- 3.4.6.3 Verification of the established relative motion equation -- 3.4.7 Modeling of microsatellite formation flying control system -- 3.4.7.1 Modeling of relative position control system -- 3.4.7.2 Modeling of relative attitude control system -- 3.5 Modeling of distributed microsatellite attitude control system -- 3.6 Summary Predictive Filtering for Microsatellite Control Systems introduces technological design, modeling, stability analysis, predictive filtering, state estimation problem and real-time operation of spacecraft control systems in aerospace engineering. The book gives a systematically and almost self-contained description of the many facets of envisaging, designing, implementing or experimentally exploring predictive filtering for spacecraft control systems, along with the adequate designs of integrated modeling, dynamics, state estimation, and signal processing of spacecrafts and nonlinear systems Microspacecraft Signal processing Digital techniques Microspacecraft Signal processing ; Digital techniques Petits vehicules spatiaux (CaQQLa)201-0359818 Traitement du signal - Techniques numeriques (CaQQLa)201-0087536 Electronic books Chen, Xiaoqian verfasserin aut Xiao, Bing verfasserin aut 9780128218662 0128218657 9780128218655 Erscheint auch als Druck-Ausgabe 9780128218662 Erscheint auch als Druck-Ausgabe 0128218657 9780128218655 https://www.sciencedirect.com/science/book/9780128218655 X:ELSEVIER Verlag lizenzpflichtig GBV-33-Freedom 2021 GBV-33-EBS-MRI GBV-33-EBS-ZHB GBV-33-Freedom 2022 ZDB-33-EBS ZDB-33-EGE 2021 ZDB-33-ESD BSZ-33-EBS-HSAA GBV-33-Freedom 2023 BSZ-33-ESD-L1FH GBV-33-EBS-HST BSZ-33-EBS-C1UB GBV_ILN_60 ISIL_DE-705 SYSFLAG_1 GBV_KXP GBV_ILN_105 ISIL_DE-841 GBV_ILN_132 ISIL_DE-959 GBV_ILN_185 ISIL_DE-Sra5 GBV_ILN_370 ISIL_DE-1373 GBV_ILN_2020 ISIL_DE-Ch1 GBV_ILN_2057 ISIL_DE-L189 GBV_ILN_2111 ISIL_DE-944 BO 045F 629.46 60 01 0705 4236040859 00 --%%-- --%%-- s --%%-- Vervielfältigungen (z.B. Kopien, Downloads) sind nur von einzelnen Kapiteln oder Seiten und nur zum eigenen wissenschaftlichen Gebrauch erlaubt. Keine Weitergabe an Dritte. Kein systematisches Downloaden durch Robots. Nur für Angehörige der HSU: Volltextzugang von außerhalb des Campus mit Anmeldung über Shibboleth mit Ihrer Bibliothekskennung z 20-12-22 105 01 0841 4074495406 OLR-ELV-TEST Vervielfältigungen (z.B. Kopien, Downloads) sind nur von einzelnen Kapiteln oder Seiten und nur zum eigenen wissenschaftlichen Gebrauch erlaubt. Die Weitergabe an Dritte sowie systematisches Downloaden sind untersagt. Testzugang ZHB Lübeck z 26-02-22 132 01 0959 4500006362 EBS Elsevier Vervielfältigungen (z.B. Kopien, Downloads) sind nur von einzelnen Kapiteln oder Seiten und nur zum eigenen wissenschaftlichen Gebrauch erlaubt. Keine Weitergabe an Dritte. Kein systematisches Downloaden durch Robots. Zeitlich begrenzte Lizenzierung k 13-03-24 185 01 3519 4514758868 OLR-EBS Vervielfältigungen (z.B. Kopien, Downloads) sind nur von einzelnen Kapiteln oder Seiten und nur zum eigenen wissenschaftlichen Gebrauch erlaubt. Die Weitergabe an Dritte sowie systematisches Downloaden sind untersagt. z 23-04-24 370 01 4370 4540283820 EBS Elsevier Vervielfältigungen (z.B. Kopien, Downloads) sind nur von einzelnen Kapiteln oder Seiten und nur zum eigenen wissenschaftlichen Gebrauch erlaubt. Keine Weitergabe an Dritte. Kein systematisches Downloaden durch Robots. i z 20-06-24 2020 01 DE-Ch1 4520347017 00 --%%-- --%%-- n n Campuslizenz l01 03-05-24 2057 01 DE-L189 4467498974 00 --%%-- --%%-- --%%-- n Campuslizenz l01 24-01-24 2111 01 DE-944 4194663241 00 --%%-- E-Book Elsevier --%%-- n Elektronischer Volltext - Campuslizenz l01 05-10-22 60 01 0705 https://www.sciencedirect.com/science/book/9780128218655 105 01 0841 https://www.sciencedirect.com/science/book/9780128218655 132 01 0959 Zugriff nur für Angehörige der Hochschule Osnabrück im Hochschulnetz https://www.sciencedirect.com/science/book/9780128218655 185 01 3519 https://www.sciencedirect.com/science/book/9780128218655 370 01 4370 E-Book: Zugriff im HCU-Netz. Zugriff von außerhalb nur für HCU-Angehörige möglich https://www.sciencedirect.com/science/book/9780128218655 2020 01 DE-Ch1 https://www.sciencedirect.com/science/book/9780128218655 2057 01 DE-L189 HTWK-Zugang https://www.sciencedirect.com/science/book/9780128218655 2111 01 DE-944 https://www.sciencedirect.com/science/book/9780128218655 132 01 0959 00 EBooks Elsevier Engineering 105 01 0841 OLR-ELV-TEST 132 01 0959 EBS Elsevier 185 01 3519 OLR-EBS 370 01 4370 EBS Elsevier |
| allfieldsGer |
0128218657 electronic book 0-12-821865-7 9780128218655 electronic book 978-0-12-821865-5 0128218665 electronic book 0-12-821866-5 9780128218662 electronic bk. 978-0-12-821866-2 (DE-627)1759859826 (DE-599)KEP06574036X (ELSEVIER)on1225354769 (EBP)06574036X DE-627 eng DE-627 rda eng XA-GB TL795.4 629.46 Cao, Lu verfasserin aut Predictive filtering for microsatellite control system Lu Cao, Xiaoqian Chen, Bing Xiao London San Diego, CA Academic Press [2021] 1 Online-Ressource (1 online resource) Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Front Cover -- Predictive Filtering for Microsatellite Control System -- Copyright -- Contents -- List of figures -- List of tables -- List of algorithms -- Biography -- Lu Cao -- Xiaoqian Chen -- Bing Xiao -- Preface -- Acknowledgments -- Symbols and abbreviations -- 1 Overview -- 1.1 Introduction -- 1.2 Microsatellite control system and its design -- 1.2.1 Microsatellite control system -- 1.2.2 Microsatellite control system design -- 1.3 Attitude and orbit determination subsystem design -- 1.3.1 Sensors for microsatellite control system -- 1.3.2 State estimation method design 1.3.2.1 Observer-based state estimation -- 1.3.2.2 Filtering-based state estimation -- 1.4 Review of nonlinear filtering -- 1.4.1 Nonlinear Kalman filtering -- 1.4.1.1 Extended Kalman filtering -- 1.4.1.2 Sigma-point Kalman filtering -- 1.4.2 Predictive filtering -- 1.4.3 Particle filtering -- 1.4.4 Robust filtering -- 1.4.5 Nonlinear filters applied to satellite control system -- 1.5 Motivations for predictive filtering for microsatellite control systems -- 1.6 What is in this book -- Part I Preliminaries -- 2 Fundamental of predictive filtering -- 2.1 Introduction 2.2 Basic probability of random vector -- 2.2.1 Random vector -- 2.2.2 Mean vector -- 2.2.3 Covariance matrix -- 2.2.4 Normal distribution random vector -- 2.2.5 White noise process -- 2.3 Preliminary definitions and lemma -- 2.4 Desired properties of filter -- 2.5 Basic theory of predictive filtering -- 2.5.1 Derivation of predictive filter -- 2.5.2 Estimation performance of predictive filter -- 2.5.2.1 Estimation performance of modeling error -- 2.5.2.2 State estimation performance of predictive filter -- 2.6 Summary -- 3 Modeling of microsatellite control system -- 3.1 Introduction 3.2 Definition of coordinate frames -- 3.3 Modeling of single microsatellite control system -- 3.3.1 Mathematical model of attitude control system -- 3.3.2 Mathematical model of orbit control system -- 3.4 Modeling of microsatellite formation flying control system -- 3.4.1 Definition of dimensionless expressions -- 3.4.2 Assumption of small eccentricity -- 3.4.3 J2 and atmospheric drag perturbations -- 3.4.4 Orbit propagation of the chief microsatellite -- 3.4.5 Effect of perturbation forces on relative motion -- 3.4.5.1 Effect of the J2 perturbation on relative motion 3.4.5.2 Effect of the drag perturbation on relative motion -- 3.4.6 System equation of relative motion -- 3.4.6.1 Calculation of orbital angular velocity -- 3.4.6.2 Summary of the relative motion equation -- 3.4.6.3 Verification of the established relative motion equation -- 3.4.7 Modeling of microsatellite formation flying control system -- 3.4.7.1 Modeling of relative position control system -- 3.4.7.2 Modeling of relative attitude control system -- 3.5 Modeling of distributed microsatellite attitude control system -- 3.6 Summary Predictive Filtering for Microsatellite Control Systems introduces technological design, modeling, stability analysis, predictive filtering, state estimation problem and real-time operation of spacecraft control systems in aerospace engineering. The book gives a systematically and almost self-contained description of the many facets of envisaging, designing, implementing or experimentally exploring predictive filtering for spacecraft control systems, along with the adequate designs of integrated modeling, dynamics, state estimation, and signal processing of spacecrafts and nonlinear systems Microspacecraft Signal processing Digital techniques Microspacecraft Signal processing ; Digital techniques Petits vehicules spatiaux (CaQQLa)201-0359818 Traitement du signal - Techniques numeriques (CaQQLa)201-0087536 Electronic books Chen, Xiaoqian verfasserin aut Xiao, Bing verfasserin aut 9780128218662 0128218657 9780128218655 Erscheint auch als Druck-Ausgabe 9780128218662 Erscheint auch als Druck-Ausgabe 0128218657 9780128218655 https://www.sciencedirect.com/science/book/9780128218655 X:ELSEVIER Verlag lizenzpflichtig GBV-33-Freedom 2021 GBV-33-EBS-MRI GBV-33-EBS-ZHB GBV-33-Freedom 2022 ZDB-33-EBS ZDB-33-EGE 2021 ZDB-33-ESD BSZ-33-EBS-HSAA GBV-33-Freedom 2023 BSZ-33-ESD-L1FH GBV-33-EBS-HST BSZ-33-EBS-C1UB GBV_ILN_60 ISIL_DE-705 SYSFLAG_1 GBV_KXP GBV_ILN_105 ISIL_DE-841 GBV_ILN_132 ISIL_DE-959 GBV_ILN_185 ISIL_DE-Sra5 GBV_ILN_370 ISIL_DE-1373 GBV_ILN_2020 ISIL_DE-Ch1 GBV_ILN_2057 ISIL_DE-L189 GBV_ILN_2111 ISIL_DE-944 BO 045F 629.46 60 01 0705 4236040859 00 --%%-- --%%-- s --%%-- Vervielfältigungen (z.B. Kopien, Downloads) sind nur von einzelnen Kapiteln oder Seiten und nur zum eigenen wissenschaftlichen Gebrauch erlaubt. Keine Weitergabe an Dritte. Kein systematisches Downloaden durch Robots. Nur für Angehörige der HSU: Volltextzugang von außerhalb des Campus mit Anmeldung über Shibboleth mit Ihrer Bibliothekskennung z 20-12-22 105 01 0841 4074495406 OLR-ELV-TEST Vervielfältigungen (z.B. Kopien, Downloads) sind nur von einzelnen Kapiteln oder Seiten und nur zum eigenen wissenschaftlichen Gebrauch erlaubt. Die Weitergabe an Dritte sowie systematisches Downloaden sind untersagt. Testzugang ZHB Lübeck z 26-02-22 132 01 0959 4500006362 EBS Elsevier Vervielfältigungen (z.B. Kopien, Downloads) sind nur von einzelnen Kapiteln oder Seiten und nur zum eigenen wissenschaftlichen Gebrauch erlaubt. Keine Weitergabe an Dritte. Kein systematisches Downloaden durch Robots. Zeitlich begrenzte Lizenzierung k 13-03-24 185 01 3519 4514758868 OLR-EBS Vervielfältigungen (z.B. Kopien, Downloads) sind nur von einzelnen Kapiteln oder Seiten und nur zum eigenen wissenschaftlichen Gebrauch erlaubt. Die Weitergabe an Dritte sowie systematisches Downloaden sind untersagt. z 23-04-24 370 01 4370 4540283820 EBS Elsevier Vervielfältigungen (z.B. Kopien, Downloads) sind nur von einzelnen Kapiteln oder Seiten und nur zum eigenen wissenschaftlichen Gebrauch erlaubt. Keine Weitergabe an Dritte. Kein systematisches Downloaden durch Robots. i z 20-06-24 2020 01 DE-Ch1 4520347017 00 --%%-- --%%-- n n Campuslizenz l01 03-05-24 2057 01 DE-L189 4467498974 00 --%%-- --%%-- --%%-- n Campuslizenz l01 24-01-24 2111 01 DE-944 4194663241 00 --%%-- E-Book Elsevier --%%-- n Elektronischer Volltext - Campuslizenz l01 05-10-22 60 01 0705 https://www.sciencedirect.com/science/book/9780128218655 105 01 0841 https://www.sciencedirect.com/science/book/9780128218655 132 01 0959 Zugriff nur für Angehörige der Hochschule Osnabrück im Hochschulnetz https://www.sciencedirect.com/science/book/9780128218655 185 01 3519 https://www.sciencedirect.com/science/book/9780128218655 370 01 4370 E-Book: Zugriff im HCU-Netz. Zugriff von außerhalb nur für HCU-Angehörige möglich https://www.sciencedirect.com/science/book/9780128218655 2020 01 DE-Ch1 https://www.sciencedirect.com/science/book/9780128218655 2057 01 DE-L189 HTWK-Zugang https://www.sciencedirect.com/science/book/9780128218655 2111 01 DE-944 https://www.sciencedirect.com/science/book/9780128218655 132 01 0959 00 EBooks Elsevier Engineering 105 01 0841 OLR-ELV-TEST 132 01 0959 EBS Elsevier 185 01 3519 OLR-EBS 370 01 4370 EBS Elsevier |
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0128218657 electronic book 0-12-821865-7 9780128218655 electronic book 978-0-12-821865-5 0128218665 electronic book 0-12-821866-5 9780128218662 electronic bk. 978-0-12-821866-2 (DE-627)1759859826 (DE-599)KEP06574036X (ELSEVIER)on1225354769 (EBP)06574036X DE-627 eng DE-627 rda eng XA-GB TL795.4 629.46 Cao, Lu verfasserin aut Predictive filtering for microsatellite control system Lu Cao, Xiaoqian Chen, Bing Xiao London San Diego, CA Academic Press [2021] 1 Online-Ressource (1 online resource) Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Front Cover -- Predictive Filtering for Microsatellite Control System -- Copyright -- Contents -- List of figures -- List of tables -- List of algorithms -- Biography -- Lu Cao -- Xiaoqian Chen -- Bing Xiao -- Preface -- Acknowledgments -- Symbols and abbreviations -- 1 Overview -- 1.1 Introduction -- 1.2 Microsatellite control system and its design -- 1.2.1 Microsatellite control system -- 1.2.2 Microsatellite control system design -- 1.3 Attitude and orbit determination subsystem design -- 1.3.1 Sensors for microsatellite control system -- 1.3.2 State estimation method design 1.3.2.1 Observer-based state estimation -- 1.3.2.2 Filtering-based state estimation -- 1.4 Review of nonlinear filtering -- 1.4.1 Nonlinear Kalman filtering -- 1.4.1.1 Extended Kalman filtering -- 1.4.1.2 Sigma-point Kalman filtering -- 1.4.2 Predictive filtering -- 1.4.3 Particle filtering -- 1.4.4 Robust filtering -- 1.4.5 Nonlinear filters applied to satellite control system -- 1.5 Motivations for predictive filtering for microsatellite control systems -- 1.6 What is in this book -- Part I Preliminaries -- 2 Fundamental of predictive filtering -- 2.1 Introduction 2.2 Basic probability of random vector -- 2.2.1 Random vector -- 2.2.2 Mean vector -- 2.2.3 Covariance matrix -- 2.2.4 Normal distribution random vector -- 2.2.5 White noise process -- 2.3 Preliminary definitions and lemma -- 2.4 Desired properties of filter -- 2.5 Basic theory of predictive filtering -- 2.5.1 Derivation of predictive filter -- 2.5.2 Estimation performance of predictive filter -- 2.5.2.1 Estimation performance of modeling error -- 2.5.2.2 State estimation performance of predictive filter -- 2.6 Summary -- 3 Modeling of microsatellite control system -- 3.1 Introduction 3.2 Definition of coordinate frames -- 3.3 Modeling of single microsatellite control system -- 3.3.1 Mathematical model of attitude control system -- 3.3.2 Mathematical model of orbit control system -- 3.4 Modeling of microsatellite formation flying control system -- 3.4.1 Definition of dimensionless expressions -- 3.4.2 Assumption of small eccentricity -- 3.4.3 J2 and atmospheric drag perturbations -- 3.4.4 Orbit propagation of the chief microsatellite -- 3.4.5 Effect of perturbation forces on relative motion -- 3.4.5.1 Effect of the J2 perturbation on relative motion 3.4.5.2 Effect of the drag perturbation on relative motion -- 3.4.6 System equation of relative motion -- 3.4.6.1 Calculation of orbital angular velocity -- 3.4.6.2 Summary of the relative motion equation -- 3.4.6.3 Verification of the established relative motion equation -- 3.4.7 Modeling of microsatellite formation flying control system -- 3.4.7.1 Modeling of relative position control system -- 3.4.7.2 Modeling of relative attitude control system -- 3.5 Modeling of distributed microsatellite attitude control system -- 3.6 Summary Predictive Filtering for Microsatellite Control Systems introduces technological design, modeling, stability analysis, predictive filtering, state estimation problem and real-time operation of spacecraft control systems in aerospace engineering. The book gives a systematically and almost self-contained description of the many facets of envisaging, designing, implementing or experimentally exploring predictive filtering for spacecraft control systems, along with the adequate designs of integrated modeling, dynamics, state estimation, and signal processing of spacecrafts and nonlinear systems Microspacecraft Signal processing Digital techniques Microspacecraft Signal processing ; Digital techniques Petits vehicules spatiaux (CaQQLa)201-0359818 Traitement du signal - Techniques numeriques (CaQQLa)201-0087536 Electronic books Chen, Xiaoqian verfasserin aut Xiao, Bing verfasserin aut 9780128218662 0128218657 9780128218655 Erscheint auch als Druck-Ausgabe 9780128218662 Erscheint auch als Druck-Ausgabe 0128218657 9780128218655 https://www.sciencedirect.com/science/book/9780128218655 X:ELSEVIER Verlag lizenzpflichtig GBV-33-Freedom 2021 GBV-33-EBS-MRI GBV-33-EBS-ZHB GBV-33-Freedom 2022 ZDB-33-EBS ZDB-33-EGE 2021 ZDB-33-ESD BSZ-33-EBS-HSAA GBV-33-Freedom 2023 BSZ-33-ESD-L1FH GBV-33-EBS-HST BSZ-33-EBS-C1UB GBV_ILN_60 ISIL_DE-705 SYSFLAG_1 GBV_KXP GBV_ILN_105 ISIL_DE-841 GBV_ILN_132 ISIL_DE-959 GBV_ILN_185 ISIL_DE-Sra5 GBV_ILN_370 ISIL_DE-1373 GBV_ILN_2020 ISIL_DE-Ch1 GBV_ILN_2057 ISIL_DE-L189 GBV_ILN_2111 ISIL_DE-944 BO 045F 629.46 60 01 0705 4236040859 00 --%%-- --%%-- s --%%-- Vervielfältigungen (z.B. 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Front Cover -- Predictive Filtering for Microsatellite Control System -- Copyright -- Contents -- List of figures -- List of tables -- List of algorithms -- Biography -- Lu Cao -- Xiaoqian Chen -- Bing Xiao -- Preface -- Acknowledgments -- Symbols and abbreviations -- 1 Overview -- 1.1 Introduction -- 1.2 Microsatellite control system and its design -- 1.2.1 Microsatellite control system -- 1.2.2 Microsatellite control system design -- 1.3 Attitude and orbit determination subsystem design -- 1.3.1 Sensors for microsatellite control system -- 1.3.2 State estimation method design 1.3.2.1 Observer-based state estimation -- 1.3.2.2 Filtering-based state estimation -- 1.4 Review of nonlinear filtering -- 1.4.1 Nonlinear Kalman filtering -- 1.4.1.1 Extended Kalman filtering -- 1.4.1.2 Sigma-point Kalman filtering -- 1.4.2 Predictive filtering -- 1.4.3 Particle filtering -- 1.4.4 Robust filtering -- 1.4.5 Nonlinear filters applied to satellite control system -- 1.5 Motivations for predictive filtering for microsatellite control systems -- 1.6 What is in this book -- Part I Preliminaries -- 2 Fundamental of predictive filtering -- 2.1 Introduction 2.2 Basic probability of random vector -- 2.2.1 Random vector -- 2.2.2 Mean vector -- 2.2.3 Covariance matrix -- 2.2.4 Normal distribution random vector -- 2.2.5 White noise process -- 2.3 Preliminary definitions and lemma -- 2.4 Desired properties of filter -- 2.5 Basic theory of predictive filtering -- 2.5.1 Derivation of predictive filter -- 2.5.2 Estimation performance of predictive filter -- 2.5.2.1 Estimation performance of modeling error -- 2.5.2.2 State estimation performance of predictive filter -- 2.6 Summary -- 3 Modeling of microsatellite control system -- 3.1 Introduction 3.2 Definition of coordinate frames -- 3.3 Modeling of single microsatellite control system -- 3.3.1 Mathematical model of attitude control system -- 3.3.2 Mathematical model of orbit control system -- 3.4 Modeling of microsatellite formation flying control system -- 3.4.1 Definition of dimensionless expressions -- 3.4.2 Assumption of small eccentricity -- 3.4.3 J2 and atmospheric drag perturbations -- 3.4.4 Orbit propagation of the chief microsatellite -- 3.4.5 Effect of perturbation forces on relative motion -- 3.4.5.1 Effect of the J2 perturbation on relative motion 3.4.5.2 Effect of the drag perturbation on relative motion -- 3.4.6 System equation of relative motion -- 3.4.6.1 Calculation of orbital angular velocity -- 3.4.6.2 Summary of the relative motion equation -- 3.4.6.3 Verification of the established relative motion equation -- 3.4.7 Modeling of microsatellite formation flying control system -- 3.4.7.1 Modeling of relative position control system -- 3.4.7.2 Modeling of relative attitude control system -- 3.5 Modeling of distributed microsatellite attitude control system -- 3.6 Summary Predictive Filtering for Microsatellite Control Systems introduces technological design, modeling, stability analysis, predictive filtering, state estimation problem and real-time operation of spacecraft control systems in aerospace engineering. The book gives a systematically and almost self-contained description of the many facets of envisaging, designing, implementing or experimentally exploring predictive filtering for spacecraft control systems, along with the adequate designs of integrated modeling, dynamics, state estimation, and signal processing of spacecrafts and nonlinear systems |
| abstractGer |
Front Cover -- Predictive Filtering for Microsatellite Control System -- Copyright -- Contents -- List of figures -- List of tables -- List of algorithms -- Biography -- Lu Cao -- Xiaoqian Chen -- Bing Xiao -- Preface -- Acknowledgments -- Symbols and abbreviations -- 1 Overview -- 1.1 Introduction -- 1.2 Microsatellite control system and its design -- 1.2.1 Microsatellite control system -- 1.2.2 Microsatellite control system design -- 1.3 Attitude and orbit determination subsystem design -- 1.3.1 Sensors for microsatellite control system -- 1.3.2 State estimation method design 1.3.2.1 Observer-based state estimation -- 1.3.2.2 Filtering-based state estimation -- 1.4 Review of nonlinear filtering -- 1.4.1 Nonlinear Kalman filtering -- 1.4.1.1 Extended Kalman filtering -- 1.4.1.2 Sigma-point Kalman filtering -- 1.4.2 Predictive filtering -- 1.4.3 Particle filtering -- 1.4.4 Robust filtering -- 1.4.5 Nonlinear filters applied to satellite control system -- 1.5 Motivations for predictive filtering for microsatellite control systems -- 1.6 What is in this book -- Part I Preliminaries -- 2 Fundamental of predictive filtering -- 2.1 Introduction 2.2 Basic probability of random vector -- 2.2.1 Random vector -- 2.2.2 Mean vector -- 2.2.3 Covariance matrix -- 2.2.4 Normal distribution random vector -- 2.2.5 White noise process -- 2.3 Preliminary definitions and lemma -- 2.4 Desired properties of filter -- 2.5 Basic theory of predictive filtering -- 2.5.1 Derivation of predictive filter -- 2.5.2 Estimation performance of predictive filter -- 2.5.2.1 Estimation performance of modeling error -- 2.5.2.2 State estimation performance of predictive filter -- 2.6 Summary -- 3 Modeling of microsatellite control system -- 3.1 Introduction 3.2 Definition of coordinate frames -- 3.3 Modeling of single microsatellite control system -- 3.3.1 Mathematical model of attitude control system -- 3.3.2 Mathematical model of orbit control system -- 3.4 Modeling of microsatellite formation flying control system -- 3.4.1 Definition of dimensionless expressions -- 3.4.2 Assumption of small eccentricity -- 3.4.3 J2 and atmospheric drag perturbations -- 3.4.4 Orbit propagation of the chief microsatellite -- 3.4.5 Effect of perturbation forces on relative motion -- 3.4.5.1 Effect of the J2 perturbation on relative motion 3.4.5.2 Effect of the drag perturbation on relative motion -- 3.4.6 System equation of relative motion -- 3.4.6.1 Calculation of orbital angular velocity -- 3.4.6.2 Summary of the relative motion equation -- 3.4.6.3 Verification of the established relative motion equation -- 3.4.7 Modeling of microsatellite formation flying control system -- 3.4.7.1 Modeling of relative position control system -- 3.4.7.2 Modeling of relative attitude control system -- 3.5 Modeling of distributed microsatellite attitude control system -- 3.6 Summary Predictive Filtering for Microsatellite Control Systems introduces technological design, modeling, stability analysis, predictive filtering, state estimation problem and real-time operation of spacecraft control systems in aerospace engineering. The book gives a systematically and almost self-contained description of the many facets of envisaging, designing, implementing or experimentally exploring predictive filtering for spacecraft control systems, along with the adequate designs of integrated modeling, dynamics, state estimation, and signal processing of spacecrafts and nonlinear systems |
| abstract_unstemmed |
Front Cover -- Predictive Filtering for Microsatellite Control System -- Copyright -- Contents -- List of figures -- List of tables -- List of algorithms -- Biography -- Lu Cao -- Xiaoqian Chen -- Bing Xiao -- Preface -- Acknowledgments -- Symbols and abbreviations -- 1 Overview -- 1.1 Introduction -- 1.2 Microsatellite control system and its design -- 1.2.1 Microsatellite control system -- 1.2.2 Microsatellite control system design -- 1.3 Attitude and orbit determination subsystem design -- 1.3.1 Sensors for microsatellite control system -- 1.3.2 State estimation method design 1.3.2.1 Observer-based state estimation -- 1.3.2.2 Filtering-based state estimation -- 1.4 Review of nonlinear filtering -- 1.4.1 Nonlinear Kalman filtering -- 1.4.1.1 Extended Kalman filtering -- 1.4.1.2 Sigma-point Kalman filtering -- 1.4.2 Predictive filtering -- 1.4.3 Particle filtering -- 1.4.4 Robust filtering -- 1.4.5 Nonlinear filters applied to satellite control system -- 1.5 Motivations for predictive filtering for microsatellite control systems -- 1.6 What is in this book -- Part I Preliminaries -- 2 Fundamental of predictive filtering -- 2.1 Introduction 2.2 Basic probability of random vector -- 2.2.1 Random vector -- 2.2.2 Mean vector -- 2.2.3 Covariance matrix -- 2.2.4 Normal distribution random vector -- 2.2.5 White noise process -- 2.3 Preliminary definitions and lemma -- 2.4 Desired properties of filter -- 2.5 Basic theory of predictive filtering -- 2.5.1 Derivation of predictive filter -- 2.5.2 Estimation performance of predictive filter -- 2.5.2.1 Estimation performance of modeling error -- 2.5.2.2 State estimation performance of predictive filter -- 2.6 Summary -- 3 Modeling of microsatellite control system -- 3.1 Introduction 3.2 Definition of coordinate frames -- 3.3 Modeling of single microsatellite control system -- 3.3.1 Mathematical model of attitude control system -- 3.3.2 Mathematical model of orbit control system -- 3.4 Modeling of microsatellite formation flying control system -- 3.4.1 Definition of dimensionless expressions -- 3.4.2 Assumption of small eccentricity -- 3.4.3 J2 and atmospheric drag perturbations -- 3.4.4 Orbit propagation of the chief microsatellite -- 3.4.5 Effect of perturbation forces on relative motion -- 3.4.5.1 Effect of the J2 perturbation on relative motion 3.4.5.2 Effect of the drag perturbation on relative motion -- 3.4.6 System equation of relative motion -- 3.4.6.1 Calculation of orbital angular velocity -- 3.4.6.2 Summary of the relative motion equation -- 3.4.6.3 Verification of the established relative motion equation -- 3.4.7 Modeling of microsatellite formation flying control system -- 3.4.7.1 Modeling of relative position control system -- 3.4.7.2 Modeling of relative attitude control system -- 3.5 Modeling of distributed microsatellite attitude control system -- 3.6 Summary Predictive Filtering for Microsatellite Control Systems introduces technological design, modeling, stability analysis, predictive filtering, state estimation problem and real-time operation of spacecraft control systems in aerospace engineering. The book gives a systematically and almost self-contained description of the many facets of envisaging, designing, implementing or experimentally exploring predictive filtering for spacecraft control systems, along with the adequate designs of integrated modeling, dynamics, state estimation, and signal processing of spacecrafts and nonlinear systems |
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" ind2=" "><subfield code="a">Computermedien</subfield><subfield code="b">c</subfield><subfield code="2">rdamedia</subfield></datafield><datafield tag="338" ind1=" " ind2=" "><subfield code="a">Online-Ressource</subfield><subfield code="b">cr</subfield><subfield code="2">rdacarrier</subfield></datafield><datafield tag="520" ind1=" " ind2=" "><subfield code="a">Front Cover -- Predictive Filtering for Microsatellite Control System -- Copyright -- Contents -- List of figures -- List of tables -- List of algorithms -- Biography -- Lu Cao -- Xiaoqian Chen -- Bing Xiao -- Preface -- Acknowledgments -- Symbols and abbreviations -- 1 Overview -- 1.1 Introduction -- 1.2 Microsatellite control system and its design -- 1.2.1 Microsatellite control system -- 1.2.2 Microsatellite control system design -- 1.3 Attitude and orbit determination subsystem design -- 1.3.1 Sensors for microsatellite control system -- 1.3.2 State estimation method design</subfield></datafield><datafield tag="520" ind1=" " ind2=" "><subfield code="a">1.3.2.1 Observer-based state estimation -- 1.3.2.2 Filtering-based state estimation -- 1.4 Review of nonlinear filtering -- 1.4.1 Nonlinear Kalman filtering -- 1.4.1.1 Extended Kalman filtering -- 1.4.1.2 Sigma-point Kalman filtering -- 1.4.2 Predictive filtering -- 1.4.3 Particle filtering -- 1.4.4 Robust filtering -- 1.4.5 Nonlinear filters applied to satellite control system -- 1.5 Motivations for predictive filtering for microsatellite control systems -- 1.6 What is in this book -- Part I Preliminaries -- 2 Fundamental of predictive filtering -- 2.1 Introduction</subfield></datafield><datafield tag="520" ind1=" " ind2=" "><subfield code="a">2.2 Basic probability of random vector -- 2.2.1 Random vector -- 2.2.2 Mean vector -- 2.2.3 Covariance matrix -- 2.2.4 Normal distribution random vector -- 2.2.5 White noise process -- 2.3 Preliminary definitions and lemma -- 2.4 Desired properties of filter -- 2.5 Basic theory of predictive filtering -- 2.5.1 Derivation of predictive filter -- 2.5.2 Estimation performance of predictive filter -- 2.5.2.1 Estimation performance of modeling error -- 2.5.2.2 State estimation performance of predictive filter -- 2.6 Summary -- 3 Modeling of microsatellite control system -- 3.1 Introduction</subfield></datafield><datafield tag="520" ind1=" " ind2=" "><subfield code="a">3.2 Definition of coordinate frames -- 3.3 Modeling of single microsatellite control system -- 3.3.1 Mathematical model of attitude control system -- 3.3.2 Mathematical model of orbit control system -- 3.4 Modeling of microsatellite formation flying control system -- 3.4.1 Definition of dimensionless expressions -- 3.4.2 Assumption of small eccentricity -- 3.4.3 J2 and atmospheric drag perturbations -- 3.4.4 Orbit propagation of the chief microsatellite -- 3.4.5 Effect of perturbation forces on relative motion -- 3.4.5.1 Effect of the J2 perturbation on relative motion</subfield></datafield><datafield tag="520" ind1=" " ind2=" "><subfield code="a">3.4.5.2 Effect of the drag perturbation on relative motion -- 3.4.6 System equation of relative motion -- 3.4.6.1 Calculation of orbital angular velocity -- 3.4.6.2 Summary of the relative motion equation -- 3.4.6.3 Verification of the established relative motion equation -- 3.4.7 Modeling of microsatellite formation flying control system -- 3.4.7.1 Modeling of relative position control system -- 3.4.7.2 Modeling of relative attitude control system -- 3.5 Modeling of distributed microsatellite attitude control system -- 3.6 Summary</subfield></datafield><datafield tag="520" ind1=" " ind2=" "><subfield code="a">Predictive Filtering for Microsatellite Control Systems introduces technological design, modeling, stability analysis, predictive filtering, state estimation problem and real-time operation of spacecraft control systems in aerospace engineering. 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