DSP-based sensor fault-tolerant control of electric vehicle powertrains
This paper describes a sensor fault-tolerant control for a high performance induction motor drive that propels an electrical vehicle. The proposed strategy deals with instrument failure detection and isolation within a reconfigurable induction motor direct torque control scheme. To increase the vehi...
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| creator | Tabbache, B. Benbouzid, M. Kheloui, A. Bourgeot, Jean-Matthieu |
| description | This paper describes a sensor fault-tolerant control for a high performance induction motor drive that propels an electrical vehicle. The proposed strategy deals with instrument failure detection and isolation within a reconfigurable induction motor direct torque control scheme. To increase the vehicle powertrain reliability regarding speed sensor failures, a maximum likelihood voting algorithm is implemented. It uses two virtual sensors (extended Kalman filter and an adaptive observer) and the encoder. Experiments on an induction motor drive and simulations on an electric vehicle are carried-out using a European urban and extra urban driving cycle to show that the proposed sensor fault-tolerant control approach is effective and provides a simple configuration with high performance in term of speed and torque responses. |
| doi_str_mv | 10.1109/ISIE.2011.5984482 |
| format | Conference Proceeding |
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The proposed strategy deals with instrument failure detection and isolation within a reconfigurable induction motor direct torque control scheme. To increase the vehicle powertrain reliability regarding speed sensor failures, a maximum likelihood voting algorithm is implemented. It uses two virtual sensors (extended Kalman filter and an adaptive observer) and the encoder. Experiments on an induction motor drive and simulations on an electric vehicle are carried-out using a European urban and extra urban driving cycle to show that the proposed sensor fault-tolerant control approach is effective and provides a simple configuration with high performance in term of speed and torque responses.</description><identifier>ISSN: 2163-5137</identifier><identifier>ISBN: 1424493102</identifier><identifier>ISBN: 9781424493104</identifier><identifier>EISBN: 9781424493128</identifier><identifier>EISBN: 9781424493111</identifier><identifier>EISBN: 1424493129</identifier><identifier>EISBN: 1424493110</identifier><identifier>DOI: 10.1109/ISIE.2011.5984482</identifier><language>eng</language><publisher>IEEE</publisher><subject>DSP ; Electric vehicle (EV) ; extended Kalman filter (EKF) ; Fault tolerance ; Fault tolerant systems ; fault-tolerant control (FTC) ; induction motor ; Induction motors ; Kalman filters ; maximum likelihood voting (MLV) ; Observers ; sensor failure ; Torque</subject><ispartof>2011 IEEE International Symposium on Industrial Electronics, 2011, p.2085-2090</ispartof><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://ieeexplore.ieee.org/document/5984482$$EHTML$$P50$$Gieee$$H</linktohtml><link.rule.ids>309,310,780,784,789,790,2056,27923,54918</link.rule.ids><linktorsrc>$$Uhttps://ieeexplore.ieee.org/document/5984482$$EView_record_in_IEEE$$FView_record_in_$$GIEEE</linktorsrc></links><search><creatorcontrib>Tabbache, B.</creatorcontrib><creatorcontrib>Benbouzid, M.</creatorcontrib><creatorcontrib>Kheloui, A.</creatorcontrib><creatorcontrib>Bourgeot, Jean-Matthieu</creatorcontrib><title>DSP-based sensor fault-tolerant control of electric vehicle powertrains</title><title>2011 IEEE International Symposium on Industrial Electronics</title><addtitle>ISIE</addtitle><description>This paper describes a sensor fault-tolerant control for a high performance induction motor drive that propels an electrical vehicle. The proposed strategy deals with instrument failure detection and isolation within a reconfigurable induction motor direct torque control scheme. To increase the vehicle powertrain reliability regarding speed sensor failures, a maximum likelihood voting algorithm is implemented. It uses two virtual sensors (extended Kalman filter and an adaptive observer) and the encoder. Experiments on an induction motor drive and simulations on an electric vehicle are carried-out using a European urban and extra urban driving cycle to show that the proposed sensor fault-tolerant control approach is effective and provides a simple configuration with high performance in term of speed and torque responses.</description><subject>DSP</subject><subject>Electric vehicle (EV)</subject><subject>extended Kalman filter (EKF)</subject><subject>Fault tolerance</subject><subject>Fault tolerant systems</subject><subject>fault-tolerant control (FTC)</subject><subject>induction motor</subject><subject>Induction motors</subject><subject>Kalman filters</subject><subject>maximum likelihood voting (MLV)</subject><subject>Observers</subject><subject>sensor failure</subject><subject>Torque</subject><issn>2163-5137</issn><isbn>1424493102</isbn><isbn>9781424493104</isbn><isbn>9781424493128</isbn><isbn>9781424493111</isbn><isbn>1424493129</isbn><isbn>1424493110</isbn><fulltext>true</fulltext><rsrctype>conference_proceeding</rsrctype><creationdate>2011</creationdate><recordtype>conference_proceeding</recordtype><sourceid>6IE</sourceid><sourceid>RIE</sourceid><recordid>eNo1kMFKAzEURSMqWOt8gLjJD8yYl2RmkqXUtg4UFKrrkqQvGIgzJYmKf2_Burrcs7hwLiG3wBoApu-H7bBsOANoWq2kVPyMVLpXILmUWgBX5-T6vzB-QWYcOlG3IPorUuUcLAPW9fJIZ2T9uH2prcm4pxnHPCXqzWcsdZkiJjMW6qaxpCnSyVOM6EoKjn7he3AR6WH6xlSSCWO-IZfexIzVKefkbbV8XTzVm-f1sHjY1IGDKjXoXsqOCdw7KZ3zSjjvjfPaW9GJziqmtffcmV6pPbTW9dbhUcRKYMiVFnNy97cbEHF3SOHDpJ_d6QfxC8nWUAE</recordid><startdate>201106</startdate><enddate>201106</enddate><creator>Tabbache, B.</creator><creator>Benbouzid, M.</creator><creator>Kheloui, A.</creator><creator>Bourgeot, Jean-Matthieu</creator><general>IEEE</general><scope>6IE</scope><scope>6IL</scope><scope>CBEJK</scope><scope>RIE</scope><scope>RIL</scope></search><sort><creationdate>201106</creationdate><title>DSP-based sensor fault-tolerant control of electric vehicle powertrains</title><author>Tabbache, B. ; Benbouzid, M. ; Kheloui, A. ; Bourgeot, Jean-Matthieu</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-i218t-19744603edc44ccf83cffacf9fb3636b8099ff2ca788d15bc7bce449b410e2893</frbrgroupid><rsrctype>conference_proceedings</rsrctype><prefilter>conference_proceedings</prefilter><language>eng</language><creationdate>2011</creationdate><topic>DSP</topic><topic>Electric vehicle (EV)</topic><topic>extended Kalman filter (EKF)</topic><topic>Fault tolerance</topic><topic>Fault tolerant systems</topic><topic>fault-tolerant control (FTC)</topic><topic>induction motor</topic><topic>Induction motors</topic><topic>Kalman filters</topic><topic>maximum likelihood voting (MLV)</topic><topic>Observers</topic><topic>sensor failure</topic><topic>Torque</topic><toplevel>online_resources</toplevel><creatorcontrib>Tabbache, B.</creatorcontrib><creatorcontrib>Benbouzid, M.</creatorcontrib><creatorcontrib>Kheloui, A.</creatorcontrib><creatorcontrib>Bourgeot, Jean-Matthieu</creatorcontrib><collection>IEEE Electronic Library (IEL) Conference Proceedings</collection><collection>IEEE Proceedings Order Plan All Online (POP All Online) 1998-present by volume</collection><collection>IEEE Xplore All Conference Proceedings</collection><collection>IEEE Electronic Library (IEL)</collection><collection>IEEE Proceedings Order Plans (POP All) 1998-Present</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Tabbache, B.</au><au>Benbouzid, M.</au><au>Kheloui, A.</au><au>Bourgeot, Jean-Matthieu</au><format>book</format><genre>proceeding</genre><ristype>CONF</ristype><atitle>DSP-based sensor fault-tolerant control of electric vehicle powertrains</atitle><btitle>2011 IEEE International Symposium on Industrial Electronics</btitle><stitle>ISIE</stitle><date>2011-06</date><risdate>2011</risdate><spage>2085</spage><epage>2090</epage><pages>2085-2090</pages><issn>2163-5137</issn><isbn>1424493102</isbn><isbn>9781424493104</isbn><eisbn>9781424493128</eisbn><eisbn>9781424493111</eisbn><eisbn>1424493129</eisbn><eisbn>1424493110</eisbn><abstract>This paper describes a sensor fault-tolerant control for a high performance induction motor drive that propels an electrical vehicle. The proposed strategy deals with instrument failure detection and isolation within a reconfigurable induction motor direct torque control scheme. To increase the vehicle powertrain reliability regarding speed sensor failures, a maximum likelihood voting algorithm is implemented. It uses two virtual sensors (extended Kalman filter and an adaptive observer) and the encoder. Experiments on an induction motor drive and simulations on an electric vehicle are carried-out using a European urban and extra urban driving cycle to show that the proposed sensor fault-tolerant control approach is effective and provides a simple configuration with high performance in term of speed and torque responses.</abstract><pub>IEEE</pub><doi>10.1109/ISIE.2011.5984482</doi><tpages>6</tpages><oa>free_for_read</oa></addata></record> |
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| identifier | ISSN: 2163-5137 |
| ispartof | 2011 IEEE International Symposium on Industrial Electronics, 2011, p.2085-2090 |
| issn | 2163-5137 |
| language | eng |
| recordid | cdi_ieee_primary_5984482 |
| source | IEEE Electronic Library (IEL) Conference Proceedings |
| subjects | DSP Electric vehicle (EV) extended Kalman filter (EKF) Fault tolerance Fault tolerant systems fault-tolerant control (FTC) induction motor Induction motors Kalman filters maximum likelihood voting (MLV) Observers sensor failure Torque |
| title | DSP-based sensor fault-tolerant control of electric vehicle powertrains |
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