Current Residual Vector-Based Open-Switch Fault Diagnosis of Inverters in PMSM Drive Systems

This paper presents an open-circuit (OC) fault diagnostic method of inverters in closed-loop controlled permanent magnet synchronous motor drive systems based on current residual vector (CRV). This method can get rid of effects of the load and the main controller to obtain reliable detection. The mo...
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Gespeichert in:

Autor*in:	Qun-Tao An [verfasserIn] Li Sun Li-Zhi Sun

Format:	Artikel
Sprache:	Englisch

Erschienen:	2015

Schlagwörter:	hybrid system Sensors machine vector control inverter reliability discrete switching signal events amplitude threshold mixed logical dynamic fault diagnosis synchronous motor drives motor current estimation Circuit faults PMSM drive systems reliability improvement phase sector invertors current residual vector-based open-switch fault diagnosis fault tolerant control closed-loop controlled permanent magnet synchronous motor drive systems Switches Windings Vectors current residual vector electric current control discrete event systems inverters mixed logical dynamic model continuous current state variables MLD model permanent magnet motors closed loop systems

Systematik:	ZG 1100:

Übergeordnetes Werk:	Enthalten in: IEEE transactions on power electronics - New York, NY : IEEE, 1986, 30(2015), 5, Seite 2814-2827
Übergeordnetes Werk:	volume:30 ; year:2015 ; number:5 ; pages:2814-2827

Links:	Volltext Link aufrufen

DOI / URN:	10.1109/TPEL.2014.2360834

Katalog-ID:	OLC195740860X

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520			\|a This paper presents an open-circuit (OC) fault diagnostic method of inverters in closed-loop controlled permanent magnet synchronous motor drive systems based on current residual vector (CRV). This method can get rid of effects of the load and the main controller to obtain reliable detection. The motor drive system is a hybrid system composed of discrete switching signal events and continuous current state variables, which evolves in certain law driven by discrete events. At the base of analyzing operation modes of the system, a mixed logical dynamic (MLD) model of the motor drive system is built to estimate motor currents. Consequently, the proposed fault diagnostic scheme is constructed by the healthy current estimator based on the MLD model in parallel with the plant. When an OC fault occurs, the CRV between the estimator and the plant will show featured amplitude and phase, and hence the fault can be detected. The method utilizes variables already used by the main controller, avoiding the use of extra sensors. During the implementation, amplitude threshold and phase sector are used in order to avoid effects of measurement errors, model parameter errors and noises, which improves the reliability and robustness. Simulation and experimental results validate the proposed diagnostic method, and the diagnostic duration can be reduced within a quarter of fundamental wave period.
650		4	\|a hybrid system
650		4	\|a Sensors
650		4	\|a machine vector control
650		4	\|a inverter
650		4	\|a reliability
650		4	\|a discrete switching signal events
650		4	\|a amplitude threshold
650		4	\|a mixed logical dynamic
650		4	\|a fault diagnosis
650		4	\|a synchronous motor drives
650		4	\|a motor current estimation
650		4	\|a Circuit faults
650		4	\|a PMSM drive systems
650		4	\|a reliability improvement
650		4	\|a phase sector
650		4	\|a invertors
650		4	\|a current residual vector-based open-switch fault diagnosis
650		4	\|a fault tolerant control
650		4	\|a closed-loop controlled permanent magnet synchronous motor drive systems
650		4	\|a Switches
650		4	\|a Windings
650		4	\|a Vectors
650		4	\|a current residual vector
650		4	\|a electric current control
650		4	\|a discrete event systems
650		4	\|a inverters
650		4	\|a mixed logical dynamic model
650		4	\|a continuous current state variables
650		4	\|a MLD model
650		4	\|a permanent magnet motors
650		4	\|a closed loop systems
700	0		\|a Li Sun \|4 oth
700	0		\|a Li-Zhi Sun \|4 oth
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allfields	10.1109/TPEL.2014.2360834 doi PQ20160617 (DE-627)OLC195740860X (DE-599)GBVOLC195740860X (PRQ)c1361-bec6fbc0d7a4a4c7c387f3766a829a8c74264db23913576c1c242e53a7be70eb0 (KEY)0151676020150000030000502814currentresidualvectorbasedopenswitchfaultdiagnosis DE-627 ger DE-627 rakwb eng 620 DNB ZG 1100: AVZ rvk 53.35 bkl Qun-Tao An verfasserin aut Current Residual Vector-Based Open-Switch Fault Diagnosis of Inverters in PMSM Drive Systems 2015 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier This paper presents an open-circuit (OC) fault diagnostic method of inverters in closed-loop controlled permanent magnet synchronous motor drive systems based on current residual vector (CRV). This method can get rid of effects of the load and the main controller to obtain reliable detection. The motor drive system is a hybrid system composed of discrete switching signal events and continuous current state variables, which evolves in certain law driven by discrete events. At the base of analyzing operation modes of the system, a mixed logical dynamic (MLD) model of the motor drive system is built to estimate motor currents. Consequently, the proposed fault diagnostic scheme is constructed by the healthy current estimator based on the MLD model in parallel with the plant. When an OC fault occurs, the CRV between the estimator and the plant will show featured amplitude and phase, and hence the fault can be detected. The method utilizes variables already used by the main controller, avoiding the use of extra sensors. During the implementation, amplitude threshold and phase sector are used in order to avoid effects of measurement errors, model parameter errors and noises, which improves the reliability and robustness. Simulation and experimental results validate the proposed diagnostic method, and the diagnostic duration can be reduced within a quarter of fundamental wave period. hybrid system Sensors machine vector control inverter reliability discrete switching signal events amplitude threshold mixed logical dynamic fault diagnosis synchronous motor drives motor current estimation Circuit faults PMSM drive systems reliability improvement phase sector invertors current residual vector-based open-switch fault diagnosis fault tolerant control closed-loop controlled permanent magnet synchronous motor drive systems Switches Windings Vectors current residual vector electric current control discrete event systems inverters mixed logical dynamic model continuous current state variables MLD model permanent magnet motors closed loop systems Li Sun oth Li-Zhi Sun oth Enthalten in IEEE transactions on power electronics New York, NY : IEEE, 1986 30(2015), 5, Seite 2814-2827 (DE-627)129383333 (DE-600)165902-9 (DE-576)014769980 0885-8993 nnns volume:30 year:2015 number:5 pages:2814-2827 http://dx.doi.org/10.1109/TPEL.2014.2360834 Volltext http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=6913528 GBV_USEFLAG_A SYSFLAG_A GBV_OLC SSG-OLC-TEC GBV_ILN_70 GBV_ILN_2061 ZG 1100: 53.35 AVZ AR 30 2015 5 2814-2827
spelling	10.1109/TPEL.2014.2360834 doi PQ20160617 (DE-627)OLC195740860X (DE-599)GBVOLC195740860X (PRQ)c1361-bec6fbc0d7a4a4c7c387f3766a829a8c74264db23913576c1c242e53a7be70eb0 (KEY)0151676020150000030000502814currentresidualvectorbasedopenswitchfaultdiagnosis DE-627 ger DE-627 rakwb eng 620 DNB ZG 1100: AVZ rvk 53.35 bkl Qun-Tao An verfasserin aut Current Residual Vector-Based Open-Switch Fault Diagnosis of Inverters in PMSM Drive Systems 2015 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier This paper presents an open-circuit (OC) fault diagnostic method of inverters in closed-loop controlled permanent magnet synchronous motor drive systems based on current residual vector (CRV). This method can get rid of effects of the load and the main controller to obtain reliable detection. The motor drive system is a hybrid system composed of discrete switching signal events and continuous current state variables, which evolves in certain law driven by discrete events. At the base of analyzing operation modes of the system, a mixed logical dynamic (MLD) model of the motor drive system is built to estimate motor currents. Consequently, the proposed fault diagnostic scheme is constructed by the healthy current estimator based on the MLD model in parallel with the plant. When an OC fault occurs, the CRV between the estimator and the plant will show featured amplitude and phase, and hence the fault can be detected. The method utilizes variables already used by the main controller, avoiding the use of extra sensors. During the implementation, amplitude threshold and phase sector are used in order to avoid effects of measurement errors, model parameter errors and noises, which improves the reliability and robustness. Simulation and experimental results validate the proposed diagnostic method, and the diagnostic duration can be reduced within a quarter of fundamental wave period. hybrid system Sensors machine vector control inverter reliability discrete switching signal events amplitude threshold mixed logical dynamic fault diagnosis synchronous motor drives motor current estimation Circuit faults PMSM drive systems reliability improvement phase sector invertors current residual vector-based open-switch fault diagnosis fault tolerant control closed-loop controlled permanent magnet synchronous motor drive systems Switches Windings Vectors current residual vector electric current control discrete event systems inverters mixed logical dynamic model continuous current state variables MLD model permanent magnet motors closed loop systems Li Sun oth Li-Zhi Sun oth Enthalten in IEEE transactions on power electronics New York, NY : IEEE, 1986 30(2015), 5, Seite 2814-2827 (DE-627)129383333 (DE-600)165902-9 (DE-576)014769980 0885-8993 nnns volume:30 year:2015 number:5 pages:2814-2827 http://dx.doi.org/10.1109/TPEL.2014.2360834 Volltext http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=6913528 GBV_USEFLAG_A SYSFLAG_A GBV_OLC SSG-OLC-TEC GBV_ILN_70 GBV_ILN_2061 ZG 1100: 53.35 AVZ AR 30 2015 5 2814-2827
allfields_unstemmed	10.1109/TPEL.2014.2360834 doi PQ20160617 (DE-627)OLC195740860X (DE-599)GBVOLC195740860X (PRQ)c1361-bec6fbc0d7a4a4c7c387f3766a829a8c74264db23913576c1c242e53a7be70eb0 (KEY)0151676020150000030000502814currentresidualvectorbasedopenswitchfaultdiagnosis DE-627 ger DE-627 rakwb eng 620 DNB ZG 1100: AVZ rvk 53.35 bkl Qun-Tao An verfasserin aut Current Residual Vector-Based Open-Switch Fault Diagnosis of Inverters in PMSM Drive Systems 2015 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier This paper presents an open-circuit (OC) fault diagnostic method of inverters in closed-loop controlled permanent magnet synchronous motor drive systems based on current residual vector (CRV). This method can get rid of effects of the load and the main controller to obtain reliable detection. The motor drive system is a hybrid system composed of discrete switching signal events and continuous current state variables, which evolves in certain law driven by discrete events. At the base of analyzing operation modes of the system, a mixed logical dynamic (MLD) model of the motor drive system is built to estimate motor currents. Consequently, the proposed fault diagnostic scheme is constructed by the healthy current estimator based on the MLD model in parallel with the plant. When an OC fault occurs, the CRV between the estimator and the plant will show featured amplitude and phase, and hence the fault can be detected. The method utilizes variables already used by the main controller, avoiding the use of extra sensors. During the implementation, amplitude threshold and phase sector are used in order to avoid effects of measurement errors, model parameter errors and noises, which improves the reliability and robustness. Simulation and experimental results validate the proposed diagnostic method, and the diagnostic duration can be reduced within a quarter of fundamental wave period. hybrid system Sensors machine vector control inverter reliability discrete switching signal events amplitude threshold mixed logical dynamic fault diagnosis synchronous motor drives motor current estimation Circuit faults PMSM drive systems reliability improvement phase sector invertors current residual vector-based open-switch fault diagnosis fault tolerant control closed-loop controlled permanent magnet synchronous motor drive systems Switches Windings Vectors current residual vector electric current control discrete event systems inverters mixed logical dynamic model continuous current state variables MLD model permanent magnet motors closed loop systems Li Sun oth Li-Zhi Sun oth Enthalten in IEEE transactions on power electronics New York, NY : IEEE, 1986 30(2015), 5, Seite 2814-2827 (DE-627)129383333 (DE-600)165902-9 (DE-576)014769980 0885-8993 nnns volume:30 year:2015 number:5 pages:2814-2827 http://dx.doi.org/10.1109/TPEL.2014.2360834 Volltext http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=6913528 GBV_USEFLAG_A SYSFLAG_A GBV_OLC SSG-OLC-TEC GBV_ILN_70 GBV_ILN_2061 ZG 1100: 53.35 AVZ AR 30 2015 5 2814-2827
allfieldsGer	10.1109/TPEL.2014.2360834 doi PQ20160617 (DE-627)OLC195740860X (DE-599)GBVOLC195740860X (PRQ)c1361-bec6fbc0d7a4a4c7c387f3766a829a8c74264db23913576c1c242e53a7be70eb0 (KEY)0151676020150000030000502814currentresidualvectorbasedopenswitchfaultdiagnosis DE-627 ger DE-627 rakwb eng 620 DNB ZG 1100: AVZ rvk 53.35 bkl Qun-Tao An verfasserin aut Current Residual Vector-Based Open-Switch Fault Diagnosis of Inverters in PMSM Drive Systems 2015 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier This paper presents an open-circuit (OC) fault diagnostic method of inverters in closed-loop controlled permanent magnet synchronous motor drive systems based on current residual vector (CRV). This method can get rid of effects of the load and the main controller to obtain reliable detection. The motor drive system is a hybrid system composed of discrete switching signal events and continuous current state variables, which evolves in certain law driven by discrete events. At the base of analyzing operation modes of the system, a mixed logical dynamic (MLD) model of the motor drive system is built to estimate motor currents. Consequently, the proposed fault diagnostic scheme is constructed by the healthy current estimator based on the MLD model in parallel with the plant. When an OC fault occurs, the CRV between the estimator and the plant will show featured amplitude and phase, and hence the fault can be detected. The method utilizes variables already used by the main controller, avoiding the use of extra sensors. During the implementation, amplitude threshold and phase sector are used in order to avoid effects of measurement errors, model parameter errors and noises, which improves the reliability and robustness. Simulation and experimental results validate the proposed diagnostic method, and the diagnostic duration can be reduced within a quarter of fundamental wave period. hybrid system Sensors machine vector control inverter reliability discrete switching signal events amplitude threshold mixed logical dynamic fault diagnosis synchronous motor drives motor current estimation Circuit faults PMSM drive systems reliability improvement phase sector invertors current residual vector-based open-switch fault diagnosis fault tolerant control closed-loop controlled permanent magnet synchronous motor drive systems Switches Windings Vectors current residual vector electric current control discrete event systems inverters mixed logical dynamic model continuous current state variables MLD model permanent magnet motors closed loop systems Li Sun oth Li-Zhi Sun oth Enthalten in IEEE transactions on power electronics New York, NY : IEEE, 1986 30(2015), 5, Seite 2814-2827 (DE-627)129383333 (DE-600)165902-9 (DE-576)014769980 0885-8993 nnns volume:30 year:2015 number:5 pages:2814-2827 http://dx.doi.org/10.1109/TPEL.2014.2360834 Volltext http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=6913528 GBV_USEFLAG_A SYSFLAG_A GBV_OLC SSG-OLC-TEC GBV_ILN_70 GBV_ILN_2061 ZG 1100: 53.35 AVZ AR 30 2015 5 2814-2827
allfieldsSound	10.1109/TPEL.2014.2360834 doi PQ20160617 (DE-627)OLC195740860X (DE-599)GBVOLC195740860X (PRQ)c1361-bec6fbc0d7a4a4c7c387f3766a829a8c74264db23913576c1c242e53a7be70eb0 (KEY)0151676020150000030000502814currentresidualvectorbasedopenswitchfaultdiagnosis DE-627 ger DE-627 rakwb eng 620 DNB ZG 1100: AVZ rvk 53.35 bkl Qun-Tao An verfasserin aut Current Residual Vector-Based Open-Switch Fault Diagnosis of Inverters in PMSM Drive Systems 2015 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier This paper presents an open-circuit (OC) fault diagnostic method of inverters in closed-loop controlled permanent magnet synchronous motor drive systems based on current residual vector (CRV). This method can get rid of effects of the load and the main controller to obtain reliable detection. The motor drive system is a hybrid system composed of discrete switching signal events and continuous current state variables, which evolves in certain law driven by discrete events. At the base of analyzing operation modes of the system, a mixed logical dynamic (MLD) model of the motor drive system is built to estimate motor currents. Consequently, the proposed fault diagnostic scheme is constructed by the healthy current estimator based on the MLD model in parallel with the plant. When an OC fault occurs, the CRV between the estimator and the plant will show featured amplitude and phase, and hence the fault can be detected. The method utilizes variables already used by the main controller, avoiding the use of extra sensors. During the implementation, amplitude threshold and phase sector are used in order to avoid effects of measurement errors, model parameter errors and noises, which improves the reliability and robustness. Simulation and experimental results validate the proposed diagnostic method, and the diagnostic duration can be reduced within a quarter of fundamental wave period. hybrid system Sensors machine vector control inverter reliability discrete switching signal events amplitude threshold mixed logical dynamic fault diagnosis synchronous motor drives motor current estimation Circuit faults PMSM drive systems reliability improvement phase sector invertors current residual vector-based open-switch fault diagnosis fault tolerant control closed-loop controlled permanent magnet synchronous motor drive systems Switches Windings Vectors current residual vector electric current control discrete event systems inverters mixed logical dynamic model continuous current state variables MLD model permanent magnet motors closed loop systems Li Sun oth Li-Zhi Sun oth Enthalten in IEEE transactions on power electronics New York, NY : IEEE, 1986 30(2015), 5, Seite 2814-2827 (DE-627)129383333 (DE-600)165902-9 (DE-576)014769980 0885-8993 nnns volume:30 year:2015 number:5 pages:2814-2827 http://dx.doi.org/10.1109/TPEL.2014.2360834 Volltext http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=6913528 GBV_USEFLAG_A SYSFLAG_A GBV_OLC SSG-OLC-TEC GBV_ILN_70 GBV_ILN_2061 ZG 1100: 53.35 AVZ AR 30 2015 5 2814-2827
language	English
source	Enthalten in IEEE transactions on power electronics 30(2015), 5, Seite 2814-2827 volume:30 year:2015 number:5 pages:2814-2827
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format_phy_str_mv	Article
institution	findex.gbv.de
topic_facet	hybrid system Sensors machine vector control inverter reliability discrete switching signal events amplitude threshold mixed logical dynamic fault diagnosis synchronous motor drives motor current estimation Circuit faults PMSM drive systems reliability improvement phase sector invertors current residual vector-based open-switch fault diagnosis fault tolerant control closed-loop controlled permanent magnet synchronous motor drive systems Switches Windings Vectors current residual vector electric current control discrete event systems inverters mixed logical dynamic model continuous current state variables MLD model permanent magnet motors closed loop systems
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author	Qun-Tao An
spellingShingle	Qun-Tao An ddc 620 rvk ZG 1100: bkl 53.35 misc hybrid system misc Sensors misc machine vector control misc inverter misc reliability misc discrete switching signal events misc amplitude threshold misc mixed logical dynamic misc fault diagnosis misc synchronous motor drives misc motor current estimation misc Circuit faults misc PMSM drive systems misc reliability improvement misc phase sector misc invertors misc current residual vector-based open-switch fault diagnosis misc fault tolerant control misc closed-loop controlled permanent magnet synchronous motor drive systems misc Switches misc Windings misc Vectors misc current residual vector misc electric current control misc discrete event systems misc inverters misc mixed logical dynamic model misc continuous current state variables misc MLD model misc permanent magnet motors misc closed loop systems Current Residual Vector-Based Open-Switch Fault Diagnosis of Inverters in PMSM Drive Systems
authorStr	Qun-Tao An
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topic_title	620 DNB ZG 1100: AVZ rvk 53.35 bkl Current Residual Vector-Based Open-Switch Fault Diagnosis of Inverters in PMSM Drive Systems hybrid system Sensors machine vector control inverter reliability discrete switching signal events amplitude threshold mixed logical dynamic fault diagnosis synchronous motor drives motor current estimation Circuit faults PMSM drive systems reliability improvement phase sector invertors current residual vector-based open-switch fault diagnosis fault tolerant control closed-loop controlled permanent magnet synchronous motor drive systems Switches Windings Vectors current residual vector electric current control discrete event systems inverters mixed logical dynamic model continuous current state variables MLD model permanent magnet motors closed loop systems
topic	ddc 620 rvk ZG 1100: bkl 53.35 misc hybrid system misc Sensors misc machine vector control misc inverter misc reliability misc discrete switching signal events misc amplitude threshold misc mixed logical dynamic misc fault diagnosis misc synchronous motor drives misc motor current estimation misc Circuit faults misc PMSM drive systems misc reliability improvement misc phase sector misc invertors misc current residual vector-based open-switch fault diagnosis misc fault tolerant control misc closed-loop controlled permanent magnet synchronous motor drive systems misc Switches misc Windings misc Vectors misc current residual vector misc electric current control misc discrete event systems misc inverters misc mixed logical dynamic model misc continuous current state variables misc MLD model misc permanent magnet motors misc closed loop systems
topic_unstemmed	ddc 620 rvk ZG 1100: bkl 53.35 misc hybrid system misc Sensors misc machine vector control misc inverter misc reliability misc discrete switching signal events misc amplitude threshold misc mixed logical dynamic misc fault diagnosis misc synchronous motor drives misc motor current estimation misc Circuit faults misc PMSM drive systems misc reliability improvement misc phase sector misc invertors misc current residual vector-based open-switch fault diagnosis misc fault tolerant control misc closed-loop controlled permanent magnet synchronous motor drive systems misc Switches misc Windings misc Vectors misc current residual vector misc electric current control misc discrete event systems misc inverters misc mixed logical dynamic model misc continuous current state variables misc MLD model misc permanent magnet motors misc closed loop systems
topic_browse	ddc 620 rvk ZG 1100: bkl 53.35 misc hybrid system misc Sensors misc machine vector control misc inverter misc reliability misc discrete switching signal events misc amplitude threshold misc mixed logical dynamic misc fault diagnosis misc synchronous motor drives misc motor current estimation misc Circuit faults misc PMSM drive systems misc reliability improvement misc phase sector misc invertors misc current residual vector-based open-switch fault diagnosis misc fault tolerant control misc closed-loop controlled permanent magnet synchronous motor drive systems misc Switches misc Windings misc Vectors misc current residual vector misc electric current control misc discrete event systems misc inverters misc mixed logical dynamic model misc continuous current state variables misc MLD model misc permanent magnet motors misc closed loop systems
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title	Current Residual Vector-Based Open-Switch Fault Diagnosis of Inverters in PMSM Drive Systems
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title_full	Current Residual Vector-Based Open-Switch Fault Diagnosis of Inverters in PMSM Drive Systems
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title_sort	current residual vector-based open-switch fault diagnosis of inverters in pmsm drive systems
title_auth	Current Residual Vector-Based Open-Switch Fault Diagnosis of Inverters in PMSM Drive Systems
abstract	This paper presents an open-circuit (OC) fault diagnostic method of inverters in closed-loop controlled permanent magnet synchronous motor drive systems based on current residual vector (CRV). This method can get rid of effects of the load and the main controller to obtain reliable detection. The motor drive system is a hybrid system composed of discrete switching signal events and continuous current state variables, which evolves in certain law driven by discrete events. At the base of analyzing operation modes of the system, a mixed logical dynamic (MLD) model of the motor drive system is built to estimate motor currents. Consequently, the proposed fault diagnostic scheme is constructed by the healthy current estimator based on the MLD model in parallel with the plant. When an OC fault occurs, the CRV between the estimator and the plant will show featured amplitude and phase, and hence the fault can be detected. The method utilizes variables already used by the main controller, avoiding the use of extra sensors. During the implementation, amplitude threshold and phase sector are used in order to avoid effects of measurement errors, model parameter errors and noises, which improves the reliability and robustness. Simulation and experimental results validate the proposed diagnostic method, and the diagnostic duration can be reduced within a quarter of fundamental wave period.
abstractGer	This paper presents an open-circuit (OC) fault diagnostic method of inverters in closed-loop controlled permanent magnet synchronous motor drive systems based on current residual vector (CRV). This method can get rid of effects of the load and the main controller to obtain reliable detection. The motor drive system is a hybrid system composed of discrete switching signal events and continuous current state variables, which evolves in certain law driven by discrete events. At the base of analyzing operation modes of the system, a mixed logical dynamic (MLD) model of the motor drive system is built to estimate motor currents. Consequently, the proposed fault diagnostic scheme is constructed by the healthy current estimator based on the MLD model in parallel with the plant. When an OC fault occurs, the CRV between the estimator and the plant will show featured amplitude and phase, and hence the fault can be detected. The method utilizes variables already used by the main controller, avoiding the use of extra sensors. During the implementation, amplitude threshold and phase sector are used in order to avoid effects of measurement errors, model parameter errors and noises, which improves the reliability and robustness. Simulation and experimental results validate the proposed diagnostic method, and the diagnostic duration can be reduced within a quarter of fundamental wave period.
abstract_unstemmed	This paper presents an open-circuit (OC) fault diagnostic method of inverters in closed-loop controlled permanent magnet synchronous motor drive systems based on current residual vector (CRV). This method can get rid of effects of the load and the main controller to obtain reliable detection. The motor drive system is a hybrid system composed of discrete switching signal events and continuous current state variables, which evolves in certain law driven by discrete events. At the base of analyzing operation modes of the system, a mixed logical dynamic (MLD) model of the motor drive system is built to estimate motor currents. Consequently, the proposed fault diagnostic scheme is constructed by the healthy current estimator based on the MLD model in parallel with the plant. When an OC fault occurs, the CRV between the estimator and the plant will show featured amplitude and phase, and hence the fault can be detected. The method utilizes variables already used by the main controller, avoiding the use of extra sensors. During the implementation, amplitude threshold and phase sector are used in order to avoid effects of measurement errors, model parameter errors and noises, which improves the reliability and robustness. Simulation and experimental results validate the proposed diagnostic method, and the diagnostic duration can be reduced within a quarter of fundamental wave period.
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title_short	Current Residual Vector-Based Open-Switch Fault Diagnosis of Inverters in PMSM Drive Systems
url	http://dx.doi.org/10.1109/TPEL.2014.2360834 http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=6913528
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doi_str	10.1109/TPEL.2014.2360834
up_date	2024-07-04T00:10:12.934Z
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