Experimental characterization, modeling and compensation of hysteresis in force sensing resistors

Force Sensing Resistors (FSRs) exhibit considerable amounts of hysteresis and repeatability error inhibiting their usage in applications that require high-accurate force readings. This paper presents the hysteresis characterization and modeling of the Tekscan A201-1 FSR employing the Preisach Operat...
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Gespeichert in:

Autor*in:	Leonel Paredes-Madrid [verfasserIn] Arnaldo Matute [verfasserIn] Andrés F. Cruz-Pacheco [verfasserIn] Carlos A. Parra Vargas [verfasserIn] Elkin Iván Gutiérrez Veláquez [verfasserIn]

Format:	E-Artikel
Sprache:	Englisch ; Spanisch

Erschienen:	2018

Schlagwörter:	hysteresis force sensing resistors Preisach operator closest match algorithm

Übergeordnetes Werk:	In: Dyna - Universidad Nacional de Colombia, 2006, 85(2018), 205, Seite 191-198
Übergeordnetes Werk:	volume:85 ; year:2018 ; number:205 ; pages:191-198

Links:	Link aufrufen Link aufrufen Link aufrufen Journal toc Journal toc

DOI / URN:	10.15446/dyna.v85n205.66432

Katalog-ID:	DOAJ039019322

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520			\|a Force Sensing Resistors (FSRs) exhibit considerable amounts of hysteresis and repeatability error inhibiting their usage in applications that require high-accurate force readings. This paper presents the hysteresis characterization and modeling of the Tekscan A201-1 FSR employing the Preisach Operator (PO) function. In order to compensate for hysteresis during sensor operation, the inverse PO was numerically found on the basis of the Closest Match Algorithm (CMA). A test bench, capable of handling sixteen sensors simultaneously, was built, which allowed the characterization and later testing of the CMA. Grip force profiles were applied to the sensors during testing and the experimental results showed a considerable reduction in the force estimation error compared with the linear regression method proposed by the manufacturer. These results enable a wider use of FSRs in applications with tight accuracy requirements. Finally, a generalized sensor model for hysteresis compensation that simplifies the obtaining of PO parameters is presented.
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allfields	10.15446/dyna.v85n205.66432 doi (DE-627)DOAJ039019322 (DE-599)DOAJ8007e27f1dcd4a048b6f70297293ea19 DE-627 ger DE-627 rakwb eng spa TN1-997 Leonel Paredes-Madrid verfasserin aut Experimental characterization, modeling and compensation of hysteresis in force sensing resistors 2018 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Force Sensing Resistors (FSRs) exhibit considerable amounts of hysteresis and repeatability error inhibiting their usage in applications that require high-accurate force readings. This paper presents the hysteresis characterization and modeling of the Tekscan A201-1 FSR employing the Preisach Operator (PO) function. In order to compensate for hysteresis during sensor operation, the inverse PO was numerically found on the basis of the Closest Match Algorithm (CMA). A test bench, capable of handling sixteen sensors simultaneously, was built, which allowed the characterization and later testing of the CMA. Grip force profiles were applied to the sensors during testing and the experimental results showed a considerable reduction in the force estimation error compared with the linear regression method proposed by the manufacturer. These results enable a wider use of FSRs in applications with tight accuracy requirements. Finally, a generalized sensor model for hysteresis compensation that simplifies the obtaining of PO parameters is presented. hysteresis force sensing resistors Preisach operator closest match algorithm Technology T Mining engineering. Metallurgy Arnaldo Matute verfasserin aut Andrés F. Cruz-Pacheco verfasserin aut Carlos A. Parra Vargas verfasserin aut Elkin Iván Gutiérrez Veláquez verfasserin aut In Dyna Universidad Nacional de Colombia, 2006 85(2018), 205, Seite 191-198 (DE-627)512663661 (DE-600)2236877-2 23462183 nnns volume:85 year:2018 number:205 pages:191-198 https://doi.org/10.15446/dyna.v85n205.66432 kostenfrei https://doaj.org/article/8007e27f1dcd4a048b6f70297293ea19 kostenfrei https://revistas.unal.edu.co/index.php/dyna/article/view/66432 kostenfrei https://doaj.org/toc/0012-7353 Journal toc kostenfrei https://doaj.org/toc/2346-2183 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ SSG-OLC-PHA GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_2005 GBV_ILN_2009 GBV_ILN_2014 GBV_ILN_2027 GBV_ILN_2055 GBV_ILN_2111 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 85 2018 205 191-198
spelling	10.15446/dyna.v85n205.66432 doi (DE-627)DOAJ039019322 (DE-599)DOAJ8007e27f1dcd4a048b6f70297293ea19 DE-627 ger DE-627 rakwb eng spa TN1-997 Leonel Paredes-Madrid verfasserin aut Experimental characterization, modeling and compensation of hysteresis in force sensing resistors 2018 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Force Sensing Resistors (FSRs) exhibit considerable amounts of hysteresis and repeatability error inhibiting their usage in applications that require high-accurate force readings. This paper presents the hysteresis characterization and modeling of the Tekscan A201-1 FSR employing the Preisach Operator (PO) function. In order to compensate for hysteresis during sensor operation, the inverse PO was numerically found on the basis of the Closest Match Algorithm (CMA). A test bench, capable of handling sixteen sensors simultaneously, was built, which allowed the characterization and later testing of the CMA. Grip force profiles were applied to the sensors during testing and the experimental results showed a considerable reduction in the force estimation error compared with the linear regression method proposed by the manufacturer. These results enable a wider use of FSRs in applications with tight accuracy requirements. Finally, a generalized sensor model for hysteresis compensation that simplifies the obtaining of PO parameters is presented. hysteresis force sensing resistors Preisach operator closest match algorithm Technology T Mining engineering. Metallurgy Arnaldo Matute verfasserin aut Andrés F. Cruz-Pacheco verfasserin aut Carlos A. Parra Vargas verfasserin aut Elkin Iván Gutiérrez Veláquez verfasserin aut In Dyna Universidad Nacional de Colombia, 2006 85(2018), 205, Seite 191-198 (DE-627)512663661 (DE-600)2236877-2 23462183 nnns volume:85 year:2018 number:205 pages:191-198 https://doi.org/10.15446/dyna.v85n205.66432 kostenfrei https://doaj.org/article/8007e27f1dcd4a048b6f70297293ea19 kostenfrei https://revistas.unal.edu.co/index.php/dyna/article/view/66432 kostenfrei https://doaj.org/toc/0012-7353 Journal toc kostenfrei https://doaj.org/toc/2346-2183 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ SSG-OLC-PHA GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_2005 GBV_ILN_2009 GBV_ILN_2014 GBV_ILN_2027 GBV_ILN_2055 GBV_ILN_2111 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 85 2018 205 191-198
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allfieldsSound	10.15446/dyna.v85n205.66432 doi (DE-627)DOAJ039019322 (DE-599)DOAJ8007e27f1dcd4a048b6f70297293ea19 DE-627 ger DE-627 rakwb eng spa TN1-997 Leonel Paredes-Madrid verfasserin aut Experimental characterization, modeling and compensation of hysteresis in force sensing resistors 2018 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Force Sensing Resistors (FSRs) exhibit considerable amounts of hysteresis and repeatability error inhibiting their usage in applications that require high-accurate force readings. This paper presents the hysteresis characterization and modeling of the Tekscan A201-1 FSR employing the Preisach Operator (PO) function. In order to compensate for hysteresis during sensor operation, the inverse PO was numerically found on the basis of the Closest Match Algorithm (CMA). A test bench, capable of handling sixteen sensors simultaneously, was built, which allowed the characterization and later testing of the CMA. Grip force profiles were applied to the sensors during testing and the experimental results showed a considerable reduction in the force estimation error compared with the linear regression method proposed by the manufacturer. These results enable a wider use of FSRs in applications with tight accuracy requirements. Finally, a generalized sensor model for hysteresis compensation that simplifies the obtaining of PO parameters is presented. hysteresis force sensing resistors Preisach operator closest match algorithm Technology T Mining engineering. Metallurgy Arnaldo Matute verfasserin aut Andrés F. Cruz-Pacheco verfasserin aut Carlos A. Parra Vargas verfasserin aut Elkin Iván Gutiérrez Veláquez verfasserin aut In Dyna Universidad Nacional de Colombia, 2006 85(2018), 205, Seite 191-198 (DE-627)512663661 (DE-600)2236877-2 23462183 nnns volume:85 year:2018 number:205 pages:191-198 https://doi.org/10.15446/dyna.v85n205.66432 kostenfrei https://doaj.org/article/8007e27f1dcd4a048b6f70297293ea19 kostenfrei https://revistas.unal.edu.co/index.php/dyna/article/view/66432 kostenfrei https://doaj.org/toc/0012-7353 Journal toc kostenfrei https://doaj.org/toc/2346-2183 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ SSG-OLC-PHA GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_2005 GBV_ILN_2009 GBV_ILN_2014 GBV_ILN_2027 GBV_ILN_2055 GBV_ILN_2111 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 85 2018 205 191-198
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source	In Dyna 85(2018), 205, Seite 191-198 volume:85 year:2018 number:205 pages:191-198
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callnumber-first	T - Technology
author	Leonel Paredes-Madrid
spellingShingle	Leonel Paredes-Madrid misc TN1-997 misc hysteresis misc force sensing resistors misc Preisach operator misc closest match algorithm misc Technology misc T misc Mining engineering. Metallurgy Experimental characterization, modeling and compensation of hysteresis in force sensing resistors
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topic_title	TN1-997 Experimental characterization, modeling and compensation of hysteresis in force sensing resistors hysteresis force sensing resistors Preisach operator closest match algorithm
topic	misc TN1-997 misc hysteresis misc force sensing resistors misc Preisach operator misc closest match algorithm misc Technology misc T misc Mining engineering. Metallurgy
topic_unstemmed	misc TN1-997 misc hysteresis misc force sensing resistors misc Preisach operator misc closest match algorithm misc Technology misc T misc Mining engineering. Metallurgy
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title	Experimental characterization, modeling and compensation of hysteresis in force sensing resistors
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title_full	Experimental characterization, modeling and compensation of hysteresis in force sensing resistors
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title_sort	experimental characterization, modeling and compensation of hysteresis in force sensing resistors
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title_auth	Experimental characterization, modeling and compensation of hysteresis in force sensing resistors
abstract	Force Sensing Resistors (FSRs) exhibit considerable amounts of hysteresis and repeatability error inhibiting their usage in applications that require high-accurate force readings. This paper presents the hysteresis characterization and modeling of the Tekscan A201-1 FSR employing the Preisach Operator (PO) function. In order to compensate for hysteresis during sensor operation, the inverse PO was numerically found on the basis of the Closest Match Algorithm (CMA). A test bench, capable of handling sixteen sensors simultaneously, was built, which allowed the characterization and later testing of the CMA. Grip force profiles were applied to the sensors during testing and the experimental results showed a considerable reduction in the force estimation error compared with the linear regression method proposed by the manufacturer. These results enable a wider use of FSRs in applications with tight accuracy requirements. Finally, a generalized sensor model for hysteresis compensation that simplifies the obtaining of PO parameters is presented.
abstractGer	Force Sensing Resistors (FSRs) exhibit considerable amounts of hysteresis and repeatability error inhibiting their usage in applications that require high-accurate force readings. This paper presents the hysteresis characterization and modeling of the Tekscan A201-1 FSR employing the Preisach Operator (PO) function. In order to compensate for hysteresis during sensor operation, the inverse PO was numerically found on the basis of the Closest Match Algorithm (CMA). A test bench, capable of handling sixteen sensors simultaneously, was built, which allowed the characterization and later testing of the CMA. Grip force profiles were applied to the sensors during testing and the experimental results showed a considerable reduction in the force estimation error compared with the linear regression method proposed by the manufacturer. These results enable a wider use of FSRs in applications with tight accuracy requirements. Finally, a generalized sensor model for hysteresis compensation that simplifies the obtaining of PO parameters is presented.
abstract_unstemmed	Force Sensing Resistors (FSRs) exhibit considerable amounts of hysteresis and repeatability error inhibiting their usage in applications that require high-accurate force readings. This paper presents the hysteresis characterization and modeling of the Tekscan A201-1 FSR employing the Preisach Operator (PO) function. In order to compensate for hysteresis during sensor operation, the inverse PO was numerically found on the basis of the Closest Match Algorithm (CMA). A test bench, capable of handling sixteen sensors simultaneously, was built, which allowed the characterization and later testing of the CMA. Grip force profiles were applied to the sensors during testing and the experimental results showed a considerable reduction in the force estimation error compared with the linear regression method proposed by the manufacturer. These results enable a wider use of FSRs in applications with tight accuracy requirements. Finally, a generalized sensor model for hysteresis compensation that simplifies the obtaining of PO parameters is presented.
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title_short	Experimental characterization, modeling and compensation of hysteresis in force sensing resistors
url	https://doi.org/10.15446/dyna.v85n205.66432 https://doaj.org/article/8007e27f1dcd4a048b6f70297293ea19 https://revistas.unal.edu.co/index.php/dyna/article/view/66432 https://doaj.org/toc/0012-7353 https://doaj.org/toc/2346-2183
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author2	Arnaldo Matute Andrés F. Cruz-Pacheco Carlos A. Parra Vargas Elkin Iván Gutiérrez Veláquez
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up_date	2024-07-03T21:10:07.035Z
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Experimental characterization, modeling and compensation of hysteresis in force sensing resistors

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