Sensorless induction machine observation with nonlinear magnetic characteristic
SUMMARY This paper addresses the problem of state estimation in induction motors. Generally, the motor observer design has been dealt based on standard models neglecting the saturation effect in the magnetic characteristic. As a matter of fact, magnetic saturation cannot be ignored especially when c...
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| Veröffentlicht in: | International journal of adaptive control and signal processing 2014-02, Vol.28 (2), p.149-168 |
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| container_title | International journal of adaptive control and signal processing |
| container_volume | 28 |
| creator | El Fadili, A. Giri, F. El Magri, A. Besançon, G. |
| description | SUMMARY
This paper addresses the problem of state estimation in induction motors. Generally, the motor observer design has been dealt based on standard models neglecting the saturation effect in the magnetic characteristic. As a matter of fact, magnetic saturation cannot be ignored especially when considering control strategies (speed and torque) that involve large flux variations. Such large flux variations are necessary to meet optimal operation conditions in the presence of wide range load torque changes. On the other hand, it is well known that use of mechanical (speed and torque) sensors entails reliability issues. In this paper, a new sensorless adaptive observer is designed for induction machine based on a model that accounts for the nonlinear feature in the magnetic circuit. The observer consists of two interconnected state‐dependent gain observers and is formally shown to provide accurate estimates of the mechanical and magnetic variables using only stator current and voltage measurements. Copyright © 2013 John Wiley & Sons, Ltd. |
| doi_str_mv | 10.1002/acs.2398 |
| format | Article |
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This paper addresses the problem of state estimation in induction motors. Generally, the motor observer design has been dealt based on standard models neglecting the saturation effect in the magnetic characteristic. As a matter of fact, magnetic saturation cannot be ignored especially when considering control strategies (speed and torque) that involve large flux variations. Such large flux variations are necessary to meet optimal operation conditions in the presence of wide range load torque changes. On the other hand, it is well known that use of mechanical (speed and torque) sensors entails reliability issues. In this paper, a new sensorless adaptive observer is designed for induction machine based on a model that accounts for the nonlinear feature in the magnetic circuit. The observer consists of two interconnected state‐dependent gain observers and is formally shown to provide accurate estimates of the mechanical and magnetic variables using only stator current and voltage measurements. Copyright © 2013 John Wiley & Sons, Ltd.</description><identifier>ISSN: 0890-6327</identifier><identifier>EISSN: 1099-1115</identifier><identifier>DOI: 10.1002/acs.2398</identifier><language>eng</language><publisher>Bognor Regis: Blackwell Publishing Ltd</publisher><subject>adaptive sensorless observer ; Automatic ; Engineering Sciences ; Flux ; induction machines ; Lyapunov methods ; nonlinear magnetic characteristic</subject><ispartof>International journal of adaptive control and signal processing, 2014-02, Vol.28 (2), p.149-168</ispartof><rights>Copyright © 2013 John Wiley & Sons, Ltd.</rights><rights>Copyright © 2014 John Wiley & Sons, Ltd.</rights><rights>Distributed under a Creative Commons Attribution 4.0 International License</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c3988-8ef2e4c0e0586f49f280ab91beca77664f48de719b21ec7b9c5aeb5a24f6741b3</citedby><cites>FETCH-LOGICAL-c3988-8ef2e4c0e0586f49f280ab91beca77664f48de719b21ec7b9c5aeb5a24f6741b3</cites><orcidid>0000-0001-5701-6255</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://onlinelibrary.wiley.com/doi/pdf/10.1002%2Facs.2398$$EPDF$$P50$$Gwiley$$H</linktopdf><linktohtml>$$Uhttps://onlinelibrary.wiley.com/doi/full/10.1002%2Facs.2398$$EHTML$$P50$$Gwiley$$H</linktohtml><link.rule.ids>230,314,776,780,881,1411,27901,27902,45550,45551</link.rule.ids><backlink>$$Uhttps://hal.science/hal-00937470$$DView record in HAL$$Hfree_for_read</backlink></links><search><creatorcontrib>El Fadili, A.</creatorcontrib><creatorcontrib>Giri, F.</creatorcontrib><creatorcontrib>El Magri, A.</creatorcontrib><creatorcontrib>Besançon, G.</creatorcontrib><title>Sensorless induction machine observation with nonlinear magnetic characteristic</title><title>International journal of adaptive control and signal processing</title><addtitle>Int. J. Adapt. Control Signal Process</addtitle><description>SUMMARY
This paper addresses the problem of state estimation in induction motors. Generally, the motor observer design has been dealt based on standard models neglecting the saturation effect in the magnetic characteristic. As a matter of fact, magnetic saturation cannot be ignored especially when considering control strategies (speed and torque) that involve large flux variations. Such large flux variations are necessary to meet optimal operation conditions in the presence of wide range load torque changes. On the other hand, it is well known that use of mechanical (speed and torque) sensors entails reliability issues. In this paper, a new sensorless adaptive observer is designed for induction machine based on a model that accounts for the nonlinear feature in the magnetic circuit. The observer consists of two interconnected state‐dependent gain observers and is formally shown to provide accurate estimates of the mechanical and magnetic variables using only stator current and voltage measurements. Copyright © 2013 John Wiley & Sons, Ltd.</description><subject>adaptive sensorless observer</subject><subject>Automatic</subject><subject>Engineering Sciences</subject><subject>Flux</subject><subject>induction machines</subject><subject>Lyapunov methods</subject><subject>nonlinear magnetic characteristic</subject><issn>0890-6327</issn><issn>1099-1115</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2014</creationdate><recordtype>article</recordtype><recordid>eNp10UtPGzEQAGCrohKBIvETVuqlPSyMvQ_bxyiFDVJoDrTiaHnNbGO6sam9Sci_xyFV1CJxsjzzaTQPQs4pXFAAdqlNvGCFFB_IiIKUOaW0OiIjEBLyumD8mJzE-AiQcrQYkfkduuhDjzFm1j2szGC9y5baLKzDzLcRw1q_xjZ2WGTOuz4ldEjkl8PBmswsdNBmwGBj-n4iHzvdRzz7-56Sn9dXPybTfDZvbibjWW5SbyIX2DEsDSBUou5K2TEBupW0RaM5r-uyK8UDcipbRtHwVppKY1tpVnY1L2lbnJKv-7oL3aunYJc6bJXXVk3HM7WLpQELXnJY02S_7O1T8H9WGAe1tNFg32uHfhUVraBOFrhM9PMb-uhXwaVJFC0lCCYF-6egCT7GgN2hAwpqdwWVrqB2V0g039ON7XH7rlPjyd3_Pm0Tnw9eh9-q5gWv1P33RjW3DbDZN1BN8QI3YJdV</recordid><startdate>201402</startdate><enddate>201402</enddate><creator>El Fadili, A.</creator><creator>Giri, F.</creator><creator>El Magri, A.</creator><creator>Besançon, G.</creator><general>Blackwell Publishing Ltd</general><general>Wiley Subscription Services, Inc</general><general>Wiley</general><scope>BSCLL</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7SC</scope><scope>7SP</scope><scope>8FD</scope><scope>JQ2</scope><scope>L7M</scope><scope>L~C</scope><scope>L~D</scope><scope>7TB</scope><scope>FR3</scope><scope>1XC</scope><orcidid>https://orcid.org/0000-0001-5701-6255</orcidid></search><sort><creationdate>201402</creationdate><title>Sensorless induction machine observation with nonlinear magnetic characteristic</title><author>El Fadili, A. ; Giri, F. ; El Magri, A. ; Besançon, G.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c3988-8ef2e4c0e0586f49f280ab91beca77664f48de719b21ec7b9c5aeb5a24f6741b3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2014</creationdate><topic>adaptive sensorless observer</topic><topic>Automatic</topic><topic>Engineering Sciences</topic><topic>Flux</topic><topic>induction machines</topic><topic>Lyapunov methods</topic><topic>nonlinear magnetic characteristic</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>El Fadili, A.</creatorcontrib><creatorcontrib>Giri, F.</creatorcontrib><creatorcontrib>El Magri, A.</creatorcontrib><creatorcontrib>Besançon, G.</creatorcontrib><collection>Istex</collection><collection>CrossRef</collection><collection>Computer and Information Systems Abstracts</collection><collection>Electronics & Communications Abstracts</collection><collection>Technology Research Database</collection><collection>ProQuest Computer Science Collection</collection><collection>Advanced Technologies Database with Aerospace</collection><collection>Computer and Information Systems Abstracts Academic</collection><collection>Computer and Information Systems Abstracts Professional</collection><collection>Mechanical & Transportation Engineering Abstracts</collection><collection>Engineering Research Database</collection><collection>Hyper Article en Ligne (HAL)</collection><jtitle>International journal of adaptive control and signal processing</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>El Fadili, A.</au><au>Giri, F.</au><au>El Magri, A.</au><au>Besançon, G.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Sensorless induction machine observation with nonlinear magnetic characteristic</atitle><jtitle>International journal of adaptive control and signal processing</jtitle><addtitle>Int. J. Adapt. Control Signal Process</addtitle><date>2014-02</date><risdate>2014</risdate><volume>28</volume><issue>2</issue><spage>149</spage><epage>168</epage><pages>149-168</pages><issn>0890-6327</issn><eissn>1099-1115</eissn><abstract>SUMMARY
This paper addresses the problem of state estimation in induction motors. Generally, the motor observer design has been dealt based on standard models neglecting the saturation effect in the magnetic characteristic. As a matter of fact, magnetic saturation cannot be ignored especially when considering control strategies (speed and torque) that involve large flux variations. Such large flux variations are necessary to meet optimal operation conditions in the presence of wide range load torque changes. On the other hand, it is well known that use of mechanical (speed and torque) sensors entails reliability issues. In this paper, a new sensorless adaptive observer is designed for induction machine based on a model that accounts for the nonlinear feature in the magnetic circuit. The observer consists of two interconnected state‐dependent gain observers and is formally shown to provide accurate estimates of the mechanical and magnetic variables using only stator current and voltage measurements. Copyright © 2013 John Wiley & Sons, Ltd.</abstract><cop>Bognor Regis</cop><pub>Blackwell Publishing Ltd</pub><doi>10.1002/acs.2398</doi><tpages>20</tpages><orcidid>https://orcid.org/0000-0001-5701-6255</orcidid></addata></record> |
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| language | eng |
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| source | Wiley Online Library |
| subjects | adaptive sensorless observer Automatic Engineering Sciences Flux induction machines Lyapunov methods nonlinear magnetic characteristic |
| title | Sensorless induction machine observation with nonlinear magnetic characteristic |
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