Induction machine control using robust eigenstructure assignment

Control of induction machines is well known to be difficult owing to the fact that the models of induction motor are highly non-linear and time variant. In this paper, we propose a very simple approach based on linear eigenstructure assignment and eigenstructure projection to design an efficient con...

Full description

Saved in:
Bibliographic Details
Published in:Control engineering practice 2006, Vol.14 (1), p.29-43
Main Authors: Duval, C., Clerc, G., Le Gorrec, Y.
Format: Article
Language:English
Subjects:
Eigenstructure assignment
Electric power
Engineering Sciences
Induction motor
Kalman filter
Linear matrix inequalities
Robustness
State feedback
Citations: Items that this one cites
Items that cite this one
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
cited_by cdi_FETCH-LOGICAL-c352t-6aeb1cca41967302ede7b2d43ae6e7406d1d3e52f967c5312ddd3f057ed7cd943
cites cdi_FETCH-LOGICAL-c352t-6aeb1cca41967302ede7b2d43ae6e7406d1d3e52f967c5312ddd3f057ed7cd943
container_end_page 43
container_issue 1
container_start_page 29
container_title Control engineering practice
container_volume 14
creator Duval, C.
Clerc, G.
Le Gorrec, Y.
description Control of induction machines is well known to be difficult owing to the fact that the models of induction motor are highly non-linear and time variant. In this paper, we propose a very simple approach based on linear eigenstructure assignment and eigenstructure projection to design an efficient control law. This is the first step to a more global approach using multimodel eigenstructure assignment and self-scheduling. The controller, which is proposed here, is not scheduled (with the rotor speed) but still has correct performance over the entire operating range of the induction motor. A Kalman filter is used to estimate the flux vector. The simulation is based on the non-linear model and the application is made on an experimental bench.
doi_str_mv 10.1016/j.conengprac.2004.12.009
format article
fullrecord <record><control><sourceid>hal_cross</sourceid><recordid>TN_cdi_hal_primary_oai_HAL_hal_00140570v1</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><els_id>S0967066105000146</els_id><sourcerecordid>oai_HAL_hal_00140570v1</sourcerecordid><originalsourceid>FETCH-LOGICAL-c352t-6aeb1cca41967302ede7b2d43ae6e7406d1d3e52f967c5312ddd3f057ed7cd943</originalsourceid><addsrcrecordid>eNqFkEtLAzEUhYMoWKv_IVsXM-Yxk2l21uKjUHCj65Amd6YpbVKSTMF_b0pFl64u3Pudwz0HIUxJTQkVD9vaBA9-OERtakZIU1NWEyIv0ITOOl4JyeUlmhApuooIQa_RTUpbUqRS0gl6XHo7muyCx3ttNs4DLn45hh0ek_MDjmE9pozBDeBTjoUdI2Cdkhv8Hny-RVe93iW4-5lT9Pny_LF4q1bvr8vFfFUZ3rJcCQ1raoxuaHmEEwYWujWzDdcgoGuIsNRyaFlfzqbllFlreU_aDmxnrGz4FN2ffTd6pw7R7XX8UkE79TZfqdOuRGoKT460sLMza2JIKUL_K6BEnVpTW_XXmjq1pigrDrJIn85SKFmODqJKxoE3YF0Ek5UN7n-Tb4o-fD4</addsrcrecordid><sourcetype>Open Access Repository</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype></control><display><type>article</type><title>Induction machine control using robust eigenstructure assignment</title><source>ScienceDirect Freedom Collection</source><creator>Duval, C. ; Clerc, G. ; Le Gorrec, Y.</creator><creatorcontrib>Duval, C. ; Clerc, G. ; Le Gorrec, Y.</creatorcontrib><description>Control of induction machines is well known to be difficult owing to the fact that the models of induction motor are highly non-linear and time variant. In this paper, we propose a very simple approach based on linear eigenstructure assignment and eigenstructure projection to design an efficient control law. This is the first step to a more global approach using multimodel eigenstructure assignment and self-scheduling. The controller, which is proposed here, is not scheduled (with the rotor speed) but still has correct performance over the entire operating range of the induction motor. A Kalman filter is used to estimate the flux vector. The simulation is based on the non-linear model and the application is made on an experimental bench.</description><identifier>ISSN: 0967-0661</identifier><identifier>EISSN: 1873-6939</identifier><identifier>DOI: 10.1016/j.conengprac.2004.12.009</identifier><language>eng</language><publisher>Elsevier Ltd</publisher><subject>Eigenstructure assignment ; Electric power ; Engineering Sciences ; Induction motor ; Kalman filter ; Linear matrix inequalities ; Robustness ; State feedback</subject><ispartof>Control engineering practice, 2006, Vol.14 (1), p.29-43</ispartof><rights>2005 Elsevier Ltd</rights><rights>Distributed under a Creative Commons Attribution 4.0 International License</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c352t-6aeb1cca41967302ede7b2d43ae6e7406d1d3e52f967c5312ddd3f057ed7cd943</citedby><cites>FETCH-LOGICAL-c352t-6aeb1cca41967302ede7b2d43ae6e7406d1d3e52f967c5312ddd3f057ed7cd943</cites><orcidid>0000-0002-9398-3178 ; 0000-0001-7202-056X</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>230,314,780,784,885,4024,27923,27924,27925</link.rule.ids><backlink>$$Uhttps://hal.science/hal-00140570$$DView record in HAL$$Hfree_for_read</backlink></links><search><creatorcontrib>Duval, C.</creatorcontrib><creatorcontrib>Clerc, G.</creatorcontrib><creatorcontrib>Le Gorrec, Y.</creatorcontrib><title>Induction machine control using robust eigenstructure assignment</title><title>Control engineering practice</title><description>Control of induction machines is well known to be difficult owing to the fact that the models of induction motor are highly non-linear and time variant. In this paper, we propose a very simple approach based on linear eigenstructure assignment and eigenstructure projection to design an efficient control law. This is the first step to a more global approach using multimodel eigenstructure assignment and self-scheduling. The controller, which is proposed here, is not scheduled (with the rotor speed) but still has correct performance over the entire operating range of the induction motor. A Kalman filter is used to estimate the flux vector. The simulation is based on the non-linear model and the application is made on an experimental bench.</description><subject>Eigenstructure assignment</subject><subject>Electric power</subject><subject>Engineering Sciences</subject><subject>Induction motor</subject><subject>Kalman filter</subject><subject>Linear matrix inequalities</subject><subject>Robustness</subject><subject>State feedback</subject><issn>0967-0661</issn><issn>1873-6939</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2006</creationdate><recordtype>article</recordtype><recordid>eNqFkEtLAzEUhYMoWKv_IVsXM-Yxk2l21uKjUHCj65Amd6YpbVKSTMF_b0pFl64u3Pudwz0HIUxJTQkVD9vaBA9-OERtakZIU1NWEyIv0ITOOl4JyeUlmhApuooIQa_RTUpbUqRS0gl6XHo7muyCx3ttNs4DLn45hh0ek_MDjmE9pozBDeBTjoUdI2Cdkhv8Hny-RVe93iW4-5lT9Pny_LF4q1bvr8vFfFUZ3rJcCQ1raoxuaHmEEwYWujWzDdcgoGuIsNRyaFlfzqbllFlreU_aDmxnrGz4FN2ffTd6pw7R7XX8UkE79TZfqdOuRGoKT460sLMza2JIKUL_K6BEnVpTW_XXmjq1pigrDrJIn85SKFmODqJKxoE3YF0Ek5UN7n-Tb4o-fD4</recordid><startdate>2006</startdate><enddate>2006</enddate><creator>Duval, C.</creator><creator>Clerc, G.</creator><creator>Le Gorrec, Y.</creator><general>Elsevier Ltd</general><general>Elsevier</general><scope>AAYXX</scope><scope>CITATION</scope><scope>1XC</scope><orcidid>https://orcid.org/0000-0002-9398-3178</orcidid><orcidid>https://orcid.org/0000-0001-7202-056X</orcidid></search><sort><creationdate>2006</creationdate><title>Induction machine control using robust eigenstructure assignment</title><author>Duval, C. ; Clerc, G. ; Le Gorrec, Y.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c352t-6aeb1cca41967302ede7b2d43ae6e7406d1d3e52f967c5312ddd3f057ed7cd943</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2006</creationdate><topic>Eigenstructure assignment</topic><topic>Electric power</topic><topic>Engineering Sciences</topic><topic>Induction motor</topic><topic>Kalman filter</topic><topic>Linear matrix inequalities</topic><topic>Robustness</topic><topic>State feedback</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Duval, C.</creatorcontrib><creatorcontrib>Clerc, G.</creatorcontrib><creatorcontrib>Le Gorrec, Y.</creatorcontrib><collection>CrossRef</collection><collection>Hyper Article en Ligne (HAL)</collection><jtitle>Control engineering practice</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Duval, C.</au><au>Clerc, G.</au><au>Le Gorrec, Y.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Induction machine control using robust eigenstructure assignment</atitle><jtitle>Control engineering practice</jtitle><date>2006</date><risdate>2006</risdate><volume>14</volume><issue>1</issue><spage>29</spage><epage>43</epage><pages>29-43</pages><issn>0967-0661</issn><eissn>1873-6939</eissn><abstract>Control of induction machines is well known to be difficult owing to the fact that the models of induction motor are highly non-linear and time variant. In this paper, we propose a very simple approach based on linear eigenstructure assignment and eigenstructure projection to design an efficient control law. This is the first step to a more global approach using multimodel eigenstructure assignment and self-scheduling. The controller, which is proposed here, is not scheduled (with the rotor speed) but still has correct performance over the entire operating range of the induction motor. A Kalman filter is used to estimate the flux vector. The simulation is based on the non-linear model and the application is made on an experimental bench.</abstract><pub>Elsevier Ltd</pub><doi>10.1016/j.conengprac.2004.12.009</doi><tpages>15</tpages><orcidid>https://orcid.org/0000-0002-9398-3178</orcidid><orcidid>https://orcid.org/0000-0001-7202-056X</orcidid></addata></record>
fulltext fulltext
identifier ISSN: 0967-0661
ispartof Control engineering practice, 2006, Vol.14 (1), p.29-43
issn 0967-0661
1873-6939
language eng
recordid cdi_hal_primary_oai_HAL_hal_00140570v1
source ScienceDirect Freedom Collection
subjects Eigenstructure assignment
Electric power
Engineering Sciences
Induction motor
Kalman filter
Linear matrix inequalities
Robustness
State feedback
title Induction machine control using robust eigenstructure assignment
url http://sfxeu10.hosted.exlibrisgroup.com/loughborough?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-01T05%3A15%3A32IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-hal_cross&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Induction%20machine%20control%20using%20robust%20eigenstructure%20assignment&rft.jtitle=Control%20engineering%20practice&rft.au=Duval,%20C.&rft.date=2006&rft.volume=14&rft.issue=1&rft.spage=29&rft.epage=43&rft.pages=29-43&rft.issn=0967-0661&rft.eissn=1873-6939&rft_id=info:doi/10.1016/j.conengprac.2004.12.009&rft_dat=%3Chal_cross%3Eoai_HAL_hal_00140570v1%3C/hal_cross%3E%3Cgrp_id%3Ecdi_FETCH-LOGICAL-c352t-6aeb1cca41967302ede7b2d43ae6e7406d1d3e52f967c5312ddd3f057ed7cd943%3C/grp_id%3E%3Coa%3E%3C/oa%3E%3Curl%3E%3C/url%3E&rft_id=info:oai/&rft_id=info:pmid/&rfr_iscdi=true