Online robust estimation of flux and load torque in induction motors
This paper presents a comparative study between two methods dedicated to the robust estimation of load torque and flux of induction motors (IM). The developed approaches rely on the adaptive Luenberger observer theory. The first method is based on the development of a Takagi-Sugeno Adaptive Luenberg...
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| Veröffentlicht in: | International journal of advanced manufacturing technology 2018-02, Vol.94 (5-8), p.2703-2713 |
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| container_title | International journal of advanced manufacturing technology |
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| creator | Bahloul, Mohamed Chrifi-Alaoui, Larbi Vargas, Alessandro N. Chaabane, Mohamed Drid, Said |
| description | This paper presents a comparative study between two methods dedicated to the robust estimation of load torque and flux of induction motors (IM). The developed approaches rely on the adaptive Luenberger observer theory. The first method is based on the development of a Takagi-Sugeno Adaptive Luenberger Observer. In order to enhance the dynamic of the load torque estimation, a second method is presented using a Takagi-Sugeno Fast Adaptive Luenberger Observer approach. Sufficient conditions are presented to ensure the asymptotic convergence of the flux and the load torque estimation errors. Moreover, robustness performances are considered in order to minimize the impact of the rotor resistance variations on the quality of the estimation. Experiments were carried out to illustrate the effectiveness and the robustness of the proposed results and to show the advantages and limitations of each method. |
| doi_str_mv | 10.1007/s00170-017-1049-8 |
| format | Article |
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The developed approaches rely on the adaptive Luenberger observer theory. The first method is based on the development of a Takagi-Sugeno Adaptive Luenberger Observer. In order to enhance the dynamic of the load torque estimation, a second method is presented using a Takagi-Sugeno Fast Adaptive Luenberger Observer approach. Sufficient conditions are presented to ensure the asymptotic convergence of the flux and the load torque estimation errors. Moreover, robustness performances are considered in order to minimize the impact of the rotor resistance variations on the quality of the estimation. Experiments were carried out to illustrate the effectiveness and the robustness of the proposed results and to show the advantages and limitations of each method.</description><identifier>ISSN: 0268-3768</identifier><identifier>EISSN: 1433-3015</identifier><identifier>DOI: 10.1007/s00170-017-1049-8</identifier><language>eng</language><publisher>London: Springer London</publisher><subject>CAE) and Design ; Comparative studies ; Computer-Aided Engineering (CAD ; Engineering ; Engineering Sciences ; Flux ; Impact resistance ; Induction motors ; Industrial and Production Engineering ; Mechanical Engineering ; Media Management ; Motors ; Noise control ; Original Article ; Robustness ; Torque</subject><ispartof>International journal of advanced manufacturing technology, 2018-02, Vol.94 (5-8), p.2703-2713</ispartof><rights>Springer-Verlag London Ltd. 2017</rights><rights>Copyright Springer Science & Business Media 2018</rights><rights>The International Journal of Advanced Manufacturing Technology is a copyright of Springer, (2017). All Rights Reserved.</rights><rights>Springer-Verlag London Ltd. 2017.</rights><rights>Distributed under a Creative Commons Attribution 4.0 International License</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c406t-5c9dc9ecbd166bd91c1135a7fb50648621dc078cdea23608c46c928be1c7b8893</citedby><cites>FETCH-LOGICAL-c406t-5c9dc9ecbd166bd91c1135a7fb50648621dc078cdea23608c46c928be1c7b8893</cites><orcidid>0000-0002-8302-8409</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://link.springer.com/content/pdf/10.1007/s00170-017-1049-8$$EPDF$$P50$$Gspringer$$H</linktopdf><linktohtml>$$Uhttps://link.springer.com/10.1007/s00170-017-1049-8$$EHTML$$P50$$Gspringer$$H</linktohtml><link.rule.ids>230,314,777,781,882,27905,27906,41469,42538,51300</link.rule.ids><backlink>$$Uhttps://u-picardie.hal.science/hal-03631293$$DView record in HAL$$Hfree_for_read</backlink></links><search><creatorcontrib>Bahloul, Mohamed</creatorcontrib><creatorcontrib>Chrifi-Alaoui, Larbi</creatorcontrib><creatorcontrib>Vargas, Alessandro N.</creatorcontrib><creatorcontrib>Chaabane, Mohamed</creatorcontrib><creatorcontrib>Drid, Said</creatorcontrib><title>Online robust estimation of flux and load torque in induction motors</title><title>International journal of advanced manufacturing technology</title><addtitle>Int J Adv Manuf Technol</addtitle><description>This paper presents a comparative study between two methods dedicated to the robust estimation of load torque and flux of induction motors (IM). 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Experiments were carried out to illustrate the effectiveness and the robustness of the proposed results and to show the advantages and limitations of each method.</description><subject>CAE) and Design</subject><subject>Comparative studies</subject><subject>Computer-Aided Engineering (CAD</subject><subject>Engineering</subject><subject>Engineering Sciences</subject><subject>Flux</subject><subject>Impact resistance</subject><subject>Induction motors</subject><subject>Industrial and Production Engineering</subject><subject>Mechanical Engineering</subject><subject>Media Management</subject><subject>Motors</subject><subject>Noise control</subject><subject>Original Article</subject><subject>Robustness</subject><subject>Torque</subject><issn>0268-3768</issn><issn>1433-3015</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2018</creationdate><recordtype>article</recordtype><sourceid>AFKRA</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><sourceid>DWQXO</sourceid><recordid>eNp9kU9LxDAQxYMouK5-AG8BTx6qM0mbJsfFfyss7EXPoU1T7dJt1qQV_famVsSLC8MMDL838-ARco5whQD5dQDAHJLYEoRUJfKAzDDlPOGA2SGZARMy4bmQx-QkhE2kBQo5I7frrm06S70rh9BTG_pmW_SN66irad0OH7ToKtq6oqK982-DpU0XqxrMN7R1cRtOyVFdtMGe_cw5eb6_e7pZJqv1w-PNYpWYFESfZEZVRllTVihEWSk0iDwr8rrMQKRSMKwM5NJUtmBcgDSpMIrJ0qLJSykVn5PL6e5r0eqdj079p3ZFo5eLlR53wAVHpvg7RvZiYnfeRduh1xs3-C7a0yxVIAXmKeylWDSU5RlX-yhUUmYZY2r8iBNlvAvB2_rXIoIeQ9JTSDo2PYakZdSwSRMi271Y_-fyv6IvWViRQg</recordid><startdate>20180201</startdate><enddate>20180201</enddate><creator>Bahloul, Mohamed</creator><creator>Chrifi-Alaoui, Larbi</creator><creator>Vargas, Alessandro N.</creator><creator>Chaabane, Mohamed</creator><creator>Drid, Said</creator><general>Springer London</general><general>Springer Nature B.V</general><general>Springer Verlag</general><scope>AAYXX</scope><scope>CITATION</scope><scope>8FE</scope><scope>8FG</scope><scope>ABJCF</scope><scope>AFKRA</scope><scope>BENPR</scope><scope>BGLVJ</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>HCIFZ</scope><scope>L6V</scope><scope>M7S</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>PTHSS</scope><scope>1XC</scope><orcidid>https://orcid.org/0000-0002-8302-8409</orcidid></search><sort><creationdate>20180201</creationdate><title>Online robust estimation of flux and load torque in induction motors</title><author>Bahloul, Mohamed ; Chrifi-Alaoui, Larbi ; Vargas, Alessandro N. ; Chaabane, Mohamed ; Drid, Said</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c406t-5c9dc9ecbd166bd91c1135a7fb50648621dc078cdea23608c46c928be1c7b8893</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2018</creationdate><topic>CAE) and Design</topic><topic>Comparative studies</topic><topic>Computer-Aided Engineering (CAD</topic><topic>Engineering</topic><topic>Engineering Sciences</topic><topic>Flux</topic><topic>Impact resistance</topic><topic>Induction motors</topic><topic>Industrial and Production Engineering</topic><topic>Mechanical Engineering</topic><topic>Media Management</topic><topic>Motors</topic><topic>Noise control</topic><topic>Original Article</topic><topic>Robustness</topic><topic>Torque</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Bahloul, Mohamed</creatorcontrib><creatorcontrib>Chrifi-Alaoui, Larbi</creatorcontrib><creatorcontrib>Vargas, Alessandro N.</creatorcontrib><creatorcontrib>Chaabane, Mohamed</creatorcontrib><creatorcontrib>Drid, Said</creatorcontrib><collection>CrossRef</collection><collection>ProQuest SciTech Collection</collection><collection>ProQuest Technology Collection</collection><collection>Materials Science & Engineering Collection</collection><collection>ProQuest Central UK/Ireland</collection><collection>ProQuest Central</collection><collection>Technology Collection</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central Korea</collection><collection>SciTech Premium Collection</collection><collection>ProQuest Engineering Collection</collection><collection>Engineering Database</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>ProQuest Central China</collection><collection>Engineering Collection</collection><collection>Hyper Article en Ligne (HAL)</collection><jtitle>International journal of advanced manufacturing technology</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Bahloul, Mohamed</au><au>Chrifi-Alaoui, Larbi</au><au>Vargas, Alessandro N.</au><au>Chaabane, Mohamed</au><au>Drid, Said</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Online robust estimation of flux and load torque in induction motors</atitle><jtitle>International journal of advanced manufacturing technology</jtitle><stitle>Int J Adv Manuf Technol</stitle><date>2018-02-01</date><risdate>2018</risdate><volume>94</volume><issue>5-8</issue><spage>2703</spage><epage>2713</epage><pages>2703-2713</pages><issn>0268-3768</issn><eissn>1433-3015</eissn><abstract>This paper presents a comparative study between two methods dedicated to the robust estimation of load torque and flux of induction motors (IM). 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| source | Springer Nature - Complete Springer Journals |
| subjects | CAE) and Design Comparative studies Computer-Aided Engineering (CAD Engineering Engineering Sciences Flux Impact resistance Induction motors Industrial and Production Engineering Mechanical Engineering Media Management Motors Noise control Original Article Robustness Torque |
| title | Online robust estimation of flux and load torque in induction motors |
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