Improving Asynchronous Motor Speed and Flux Loop Control by Using Hybrid Fuzzy-SMC Controllers
This paper presents a new method combining sliding mode control(SMC) and fuzzy logic control(FLC) to enhance the robustness and performance for a class of non-linear control systems. This fuzzy sliding mode control(FSMC) is developed for application in the area for controlling the speed and flux loo...
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| Veröffentlicht in: | International journal of automation and computing 2014-08, Vol.11 (4), p.361-367 |
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| container_title | International journal of automation and computing |
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| creator | Bendaas, Ismail Naceri, Farid Belkacem, Sebti |
| description | This paper presents a new method combining sliding mode control(SMC) and fuzzy logic control(FLC) to enhance the robustness and performance for a class of non-linear control systems. This fuzzy sliding mode control(FSMC) is developed for application in the area for controlling the speed and flux loops of asynchronous motors. The proposed control law can solve those problems associated with the conventional control by sliding mode control, such as high current, flux and torque chattering, variable switching frequency and variation of parameters, in which a robust fuzzy logic controller replaces the discontinuous part of the classical sliding mode control law. Simulation results of the proposed FSMC technique on the speed and flux rotor controllers present good dynamic and steady-state performances compared to the classical SMC in terms of reduction of the torque chattering, quick dynamic torque response and robustness to disturbance and variation of parameters. |
| doi_str_mv | 10.1007/s11633-014-0801-x |
| format | Article |
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This fuzzy sliding mode control(FSMC) is developed for application in the area for controlling the speed and flux loops of asynchronous motors. The proposed control law can solve those problems associated with the conventional control by sliding mode control, such as high current, flux and torque chattering, variable switching frequency and variation of parameters, in which a robust fuzzy logic controller replaces the discontinuous part of the classical sliding mode control law. Simulation results of the proposed FSMC technique on the speed and flux rotor controllers present good dynamic and steady-state performances compared to the classical SMC in terms of reduction of the torque chattering, quick dynamic torque response and robustness to disturbance and variation of parameters.</description><identifier>ISSN: 1476-8186</identifier><identifier>ISSN: 2153-182X</identifier><identifier>EISSN: 1751-8520</identifier><identifier>EISSN: 2153-1838</identifier><identifier>DOI: 10.1007/s11633-014-0801-x</identifier><language>eng</language><publisher>Berlin/Heidelberg: Springer-Verlag</publisher><subject>Asynchronous motors ; CAE) and Design ; chattering ; Computer Applications ; Computer-Aided Engineering (CAD ; Control ; Control algorithms ; Control theory ; Controllers ; Engineering ; Flux ; Frequency variation ; fuzzy ; Fuzzy control ; Fuzzy logic ; Fuzzy systems ; Induction ; Input output ; logic ; Mechatronics ; mode ; motor ; Nonlinear control ; Nonlinear systems ; Parameters ; phenomenon ; Regular Paper ; Robotics ; Robust control ; sliding ; Sliding mode control ; Torque ; Vibration</subject><ispartof>International journal of automation and computing, 2014-08, Vol.11 (4), p.361-367</ispartof><rights>Science in China Press 2014</rights><rights>Institute of Automation, Chinese Academy of Sciences and Springer-Verlag Berlin Heidelberg 2014</rights><rights>Science in China Press 2014.</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c464t-d78d4715e714e8fea532e097927789322353073c6302c2e0aa759a1534238d833</citedby><cites>FETCH-LOGICAL-c464t-d78d4715e714e8fea532e097927789322353073c6302c2e0aa759a1534238d833</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Uhttp://image.cqvip.com/vip1000/qk/88433X/88433X.jpg</thumbnail><linktohtml>$$Uhttps://www.proquest.com/docview/2918683977?pq-origsite=primo$$EHTML$$P50$$Gproquest$$H</linktohtml><link.rule.ids>315,782,786,21397,27933,27934,33753,43814,64394,64398,72478</link.rule.ids></links><search><creatorcontrib>Bendaas, Ismail</creatorcontrib><creatorcontrib>Naceri, Farid</creatorcontrib><creatorcontrib>Belkacem, Sebti</creatorcontrib><title>Improving Asynchronous Motor Speed and Flux Loop Control by Using Hybrid Fuzzy-SMC Controllers</title><title>International journal of automation and computing</title><addtitle>Int. J. Autom. Comput</addtitle><addtitle>International Journal of Automation and computing</addtitle><description>This paper presents a new method combining sliding mode control(SMC) and fuzzy logic control(FLC) to enhance the robustness and performance for a class of non-linear control systems. This fuzzy sliding mode control(FSMC) is developed for application in the area for controlling the speed and flux loops of asynchronous motors. The proposed control law can solve those problems associated with the conventional control by sliding mode control, such as high current, flux and torque chattering, variable switching frequency and variation of parameters, in which a robust fuzzy logic controller replaces the discontinuous part of the classical sliding mode control law. Simulation results of the proposed FSMC technique on the speed and flux rotor controllers present good dynamic and steady-state performances compared to the classical SMC in terms of reduction of the torque chattering, quick dynamic torque response and robustness to disturbance and variation of parameters.</description><subject>Asynchronous motors</subject><subject>CAE) and Design</subject><subject>chattering</subject><subject>Computer Applications</subject><subject>Computer-Aided Engineering (CAD</subject><subject>Control</subject><subject>Control algorithms</subject><subject>Control theory</subject><subject>Controllers</subject><subject>Engineering</subject><subject>Flux</subject><subject>Frequency variation</subject><subject>fuzzy</subject><subject>Fuzzy control</subject><subject>Fuzzy logic</subject><subject>Fuzzy systems</subject><subject>Induction</subject><subject>Input output</subject><subject>logic</subject><subject>Mechatronics</subject><subject>mode</subject><subject>motor</subject><subject>Nonlinear control</subject><subject>Nonlinear systems</subject><subject>Parameters</subject><subject>phenomenon</subject><subject>Regular Paper</subject><subject>Robotics</subject><subject>Robust control</subject><subject>sliding</subject><subject>Sliding mode control</subject><subject>Torque</subject><subject>Vibration</subject><issn>1476-8186</issn><issn>2153-182X</issn><issn>1751-8520</issn><issn>2153-1838</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2014</creationdate><recordtype>article</recordtype><sourceid>AFKRA</sourceid><sourceid>AZQEC</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><sourceid>DWQXO</sourceid><sourceid>GNUQQ</sourceid><recordid>eNp9kU1PGzEQhldVK5XS_oDeLPXCxWXGH-vxEUXlQwriQLnWWnadELSxg52tsvn19SoUIQ4cbI_k533H47eqviP8RABzmhFrKTmg4kCAfPehOkKjkZMW8LHUytSckOrP1ZecHwFqI6w6qv5crTcp_l2FJTvLY2gfUgxxyOw6bmNitxvvO9aEjp33w47NY9ywWQzbFHt2P7K7POkux_u0KsSw34_89nr2n-h9yl-rT4umz_7b83lc3Z3_-j275PObi6vZ2Zy3qlZb3hnqlEHtDSpPC99oKTxYY4UxZKUQUkswsq0liLbcNI3RtkEtlZDUkZTH1cnBtwzzNPi8detVbn3fN8GXcRzq2oAlEFDQH2_QxzikUF7nhC0fRNIa8x6FWqO2inDywgPVpphz8gu3Sat1k0aH4KZc3CEXV3JxUy5uVzTioMmFDUufXjm_I5LPjR5iWD4V3Usno2oiS1KDImW1UDStsqP8B1hInI4</recordid><startdate>20140801</startdate><enddate>20140801</enddate><creator>Bendaas, Ismail</creator><creator>Naceri, Farid</creator><creator>Belkacem, Sebti</creator><general>Springer-Verlag</general><general>Springer Nature B.V</general><scope>2RA</scope><scope>92L</scope><scope>CQIGP</scope><scope>W92</scope><scope>~WA</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>JQ2</scope><scope>8FE</scope><scope>8FG</scope><scope>AFKRA</scope><scope>ARAPS</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>BGLVJ</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>GNUQQ</scope><scope>HCIFZ</scope><scope>K7-</scope><scope>P5Z</scope><scope>P62</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>7SC</scope><scope>7SP</scope><scope>8FD</scope><scope>L7M</scope><scope>L~C</scope><scope>L~D</scope></search><sort><creationdate>20140801</creationdate><title>Improving Asynchronous Motor Speed and Flux Loop Control by Using Hybrid Fuzzy-SMC Controllers</title><author>Bendaas, Ismail ; Naceri, Farid ; Belkacem, Sebti</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c464t-d78d4715e714e8fea532e097927789322353073c6302c2e0aa759a1534238d833</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2014</creationdate><topic>Asynchronous motors</topic><topic>CAE) and Design</topic><topic>chattering</topic><topic>Computer Applications</topic><topic>Computer-Aided Engineering (CAD</topic><topic>Control</topic><topic>Control algorithms</topic><topic>Control theory</topic><topic>Controllers</topic><topic>Engineering</topic><topic>Flux</topic><topic>Frequency variation</topic><topic>fuzzy</topic><topic>Fuzzy control</topic><topic>Fuzzy logic</topic><topic>Fuzzy systems</topic><topic>Induction</topic><topic>Input output</topic><topic>logic</topic><topic>Mechatronics</topic><topic>mode</topic><topic>motor</topic><topic>Nonlinear control</topic><topic>Nonlinear systems</topic><topic>Parameters</topic><topic>phenomenon</topic><topic>Regular Paper</topic><topic>Robotics</topic><topic>Robust control</topic><topic>sliding</topic><topic>Sliding mode control</topic><topic>Torque</topic><topic>Vibration</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Bendaas, Ismail</creatorcontrib><creatorcontrib>Naceri, Farid</creatorcontrib><creatorcontrib>Belkacem, Sebti</creatorcontrib><collection>中文科技期刊数据库</collection><collection>中文科技期刊数据库-CALIS站点</collection><collection>中文科技期刊数据库-7.0平台</collection><collection>中文科技期刊数据库-工程技术</collection><collection>中文科技期刊数据库- 镜像站点</collection><collection>CrossRef</collection><collection>ProQuest Computer Science Collection</collection><collection>ProQuest SciTech Collection</collection><collection>ProQuest Technology Collection</collection><collection>ProQuest Central UK/Ireland</collection><collection>Advanced Technologies & Aerospace Collection</collection><collection>ProQuest Central Essentials</collection><collection>Proquest Central</collection><collection>Technology Collection</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central Korea</collection><collection>ProQuest Central Student</collection><collection>SciTech Premium Collection</collection><collection>Computer Science Database</collection><collection>Advanced Technologies & Aerospace Database</collection><collection>ProQuest Advanced Technologies & Aerospace Collection</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>Computer and Information Systems Abstracts</collection><collection>Electronics & Communications Abstracts</collection><collection>Technology Research Database</collection><collection>Advanced Technologies Database with Aerospace</collection><collection>Computer and Information Systems Abstracts Academic</collection><collection>Computer and Information Systems Abstracts Professional</collection><jtitle>International journal of automation and computing</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Bendaas, Ismail</au><au>Naceri, Farid</au><au>Belkacem, Sebti</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Improving Asynchronous Motor Speed and Flux Loop Control by Using Hybrid Fuzzy-SMC Controllers</atitle><jtitle>International journal of automation and computing</jtitle><stitle>Int. 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The proposed control law can solve those problems associated with the conventional control by sliding mode control, such as high current, flux and torque chattering, variable switching frequency and variation of parameters, in which a robust fuzzy logic controller replaces the discontinuous part of the classical sliding mode control law. Simulation results of the proposed FSMC technique on the speed and flux rotor controllers present good dynamic and steady-state performances compared to the classical SMC in terms of reduction of the torque chattering, quick dynamic torque response and robustness to disturbance and variation of parameters.</abstract><cop>Berlin/Heidelberg</cop><pub>Springer-Verlag</pub><doi>10.1007/s11633-014-0801-x</doi><tpages>7</tpages><oa>free_for_read</oa></addata></record> |
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| subjects | Asynchronous motors CAE) and Design chattering Computer Applications Computer-Aided Engineering (CAD Control Control algorithms Control theory Controllers Engineering Flux Frequency variation fuzzy Fuzzy control Fuzzy logic Fuzzy systems Induction Input output logic Mechatronics mode motor Nonlinear control Nonlinear systems Parameters phenomenon Regular Paper Robotics Robust control sliding Sliding mode control Torque Vibration |
| title | Improving Asynchronous Motor Speed and Flux Loop Control by Using Hybrid Fuzzy-SMC Controllers |
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