Active Disturbance Rejection Control of Linear Induction Motor
This paper proposes the theoretical framework and the experimental application of the active disturbance rejection control to linear induction motors. Such a nonlinear control (ADRC) technique can be viewed as a particular kind of input-output linearization control, where the nonlinear transformatio...
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| Veröffentlicht in: | IEEE transactions on industry applications 2017-09, Vol.53 (5), p.4460-4471 |
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| container_title | IEEE transactions on industry applications |
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| creator | Alonge, Francesco Cirrincione, Maurizio D'Ippolito, Filippo Pucci, Marcello Sferlazza, Antonino |
| description | This paper proposes the theoretical framework and the experimental application of the active disturbance rejection control to linear induction motors. Such a nonlinear control (ADRC) technique can be viewed as a particular kind of input-output linearization control, where the nonlinear transformation of the state is not computed by means of the model, but it is estimated online. Such an approach permits to cope with unmodelling dynamics, as well as uncertainty in the knowledge of the model parameters and exogenous disturbances. The effectiveness of the proposed ADRC control law has been verified both by numerical simulations and experimentally on a suitably developed test setup. Moreover, the results have been compared with those achievable with the model-based feedback linearization control. |
| doi_str_mv | 10.1109/TIA.2017.2697845 |
| format | Article |
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Moreover, the results have been compared with those achievable with the model-based feedback linearization control.</description><subject>Adaptation models</subject><subject>Extended state observer (ESO)</subject><subject>Induction motors</subject><subject>Inductors</subject><subject>linear induction motor (LIM)</subject><subject>Mathematical model</subject><subject>rejection of disturbances</subject><subject>Robust control</subject><subject>State feedback</subject><subject>state feedback control</subject><subject>Uncertainty</subject><issn>0093-9994</issn><issn>1939-9367</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2017</creationdate><recordtype>article</recordtype><sourceid>RIE</sourceid><recordid>eNo9j01LxDAQhoMoWFfvgpf-ga4zSbppLkKpX4WKIOu5pOkEuqyNJF3Bf2-XLh6GgXnfZ-Bh7BZhjQj6fluXaw6o1nyjVSHzM5agFjrTYqPOWQKgRaa1lpfsKsYdAMocZcIeSjsNP5Q-DnE6hM6MltIP2tF89WNa-XEKfp96lzbDSCak9dgfluzNTz5cswtn9pFuTnvFPp-fttVr1ry_1FXZZFYgTJkpCqJcc7C9EBY5t1oIsLIv5lEKuQKjyBllrTAdKgnG9TknaVznOmnEisHy1wYfYyDXfofhy4TfFqE9-rezf3v0b0_-M3K3IAMR_deVRsRCiD8duVdD</recordid><startdate>201709</startdate><enddate>201709</enddate><creator>Alonge, Francesco</creator><creator>Cirrincione, Maurizio</creator><creator>D'Ippolito, Filippo</creator><creator>Pucci, Marcello</creator><creator>Sferlazza, Antonino</creator><general>IEEE</general><scope>97E</scope><scope>RIA</scope><scope>RIE</scope><scope>AAYXX</scope><scope>CITATION</scope></search><sort><creationdate>201709</creationdate><title>Active Disturbance Rejection Control of Linear Induction Motor</title><author>Alonge, Francesco ; Cirrincione, Maurizio ; D'Ippolito, Filippo ; Pucci, Marcello ; Sferlazza, Antonino</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c310t-a88ee5920cd33c122c9330c4d8c4d771270a7efa7cc3ab1740afd52e4afbfb4a3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2017</creationdate><topic>Adaptation models</topic><topic>Extended state observer (ESO)</topic><topic>Induction motors</topic><topic>Inductors</topic><topic>linear induction motor (LIM)</topic><topic>Mathematical model</topic><topic>rejection of disturbances</topic><topic>Robust control</topic><topic>State feedback</topic><topic>state feedback control</topic><topic>Uncertainty</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Alonge, Francesco</creatorcontrib><creatorcontrib>Cirrincione, Maurizio</creatorcontrib><creatorcontrib>D'Ippolito, Filippo</creatorcontrib><creatorcontrib>Pucci, Marcello</creatorcontrib><creatorcontrib>Sferlazza, Antonino</creatorcontrib><collection>IEEE All-Society Periodicals Package (ASPP) 2005-present</collection><collection>IEEE All-Society Periodicals Package (ASPP) 1998-Present</collection><collection>IEEE Electronic Library (IEL)</collection><collection>CrossRef</collection><jtitle>IEEE transactions on industry applications</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Alonge, Francesco</au><au>Cirrincione, Maurizio</au><au>D'Ippolito, Filippo</au><au>Pucci, Marcello</au><au>Sferlazza, Antonino</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Active Disturbance Rejection Control of Linear Induction Motor</atitle><jtitle>IEEE transactions on industry applications</jtitle><stitle>TIA</stitle><date>2017-09</date><risdate>2017</risdate><volume>53</volume><issue>5</issue><spage>4460</spage><epage>4471</epage><pages>4460-4471</pages><issn>0093-9994</issn><eissn>1939-9367</eissn><coden>ITIACR</coden><abstract>This paper proposes the theoretical framework and the experimental application of the active disturbance rejection control to linear induction motors. Such a nonlinear control (ADRC) technique can be viewed as a particular kind of input-output linearization control, where the nonlinear transformation of the state is not computed by means of the model, but it is estimated online. Such an approach permits to cope with unmodelling dynamics, as well as uncertainty in the knowledge of the model parameters and exogenous disturbances. The effectiveness of the proposed ADRC control law has been verified both by numerical simulations and experimentally on a suitably developed test setup. Moreover, the results have been compared with those achievable with the model-based feedback linearization control.</abstract><pub>IEEE</pub><doi>10.1109/TIA.2017.2697845</doi><tpages>12</tpages></addata></record> |
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| subjects | Adaptation models Extended state observer (ESO) Induction motors Inductors linear induction motor (LIM) Mathematical model rejection of disturbances Robust control State feedback state feedback control Uncertainty |
| title | Active Disturbance Rejection Control of Linear Induction Motor |
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