A comparative experimental study of direct torque control based on adaptive fuzzy logic controller and particle swarm optimization algorithms of a permanent magnet synchronous motor
Direct torque control (DTC) of permanent magnet synchronous motor (PMSM) drives is receiving increasing attention due to important advantages, such as fast dynamic and low dependence on motor parameters. However, conventional DTC scheme, based on comparators and the switching table, suffers from lar...
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| Veröffentlicht in: | International journal of advanced manufacturing technology 2017-04, Vol.90 (1-4), p.59-72 |
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| container_title | International journal of advanced manufacturing technology |
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| creator | Mesloub, H. Benchouia, M. T. Goléa, A. Goléa, N. Benbouzid, M. E. H. |
| description | Direct torque control (DTC) of permanent magnet synchronous motor (PMSM) drives is receiving increasing attention due to important advantages, such as fast dynamic and low dependence on motor parameters. However, conventional DTC scheme, based on comparators and the switching table, suffers from large torque and flux ripples. In this paper, two intelligent approaches are proposed in order to improve DTC performance. The first approach is based on two adaptive fuzzy logic controllers (AFLC). The first AFLC replaces the conventional comparators and switching table and the second AFLC adjusts in real time the outer loop PI parameters. In the second approach, particle swarm optimization (PSO) is used as another alternative to adjust the PI parameters. Simulation and experimental results demonstrate the effectiveness of the proposed intelligent techniques. Besides, the system associated with these techniques can effectively reduce flux and torque ripples with better dynamic and steady state performance. Quantitatively, PSO-based DTC approach reduces greatly flux and torque ripples. Further, PSO-based approach maintains a constant switching frequency which improves the PMSM drive system control performance. |
| doi_str_mv | 10.1007/s00170-016-9092-4 |
| format | Article |
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T. ; Goléa, A. ; Goléa, N. ; Benbouzid, M. E. H.</creator><creatorcontrib>Mesloub, H. ; Benchouia, M. T. ; Goléa, A. ; Goléa, N. ; Benbouzid, M. E. H.</creatorcontrib><description>Direct torque control (DTC) of permanent magnet synchronous motor (PMSM) drives is receiving increasing attention due to important advantages, such as fast dynamic and low dependence on motor parameters. However, conventional DTC scheme, based on comparators and the switching table, suffers from large torque and flux ripples. In this paper, two intelligent approaches are proposed in order to improve DTC performance. The first approach is based on two adaptive fuzzy logic controllers (AFLC). The first AFLC replaces the conventional comparators and switching table and the second AFLC adjusts in real time the outer loop PI parameters. In the second approach, particle swarm optimization (PSO) is used as another alternative to adjust the PI parameters. Simulation and experimental results demonstrate the effectiveness of the proposed intelligent techniques. Besides, the system associated with these techniques can effectively reduce flux and torque ripples with better dynamic and steady state performance. Quantitatively, PSO-based DTC approach reduces greatly flux and torque ripples. Further, PSO-based approach maintains a constant switching frequency which improves the PMSM drive system control performance.</description><identifier>ISSN: 0268-3768</identifier><identifier>EISSN: 1433-3015</identifier><identifier>DOI: 10.1007/s00170-016-9092-4</identifier><language>eng</language><publisher>London: Springer London</publisher><subject>Adaptive control ; Algorithms ; CAE) and Design ; Comparators ; Computer simulation ; Computer-Aided Engineering (CAD ; Dependence ; Engineering ; Flux ; Fuzzy control ; Fuzzy logic ; Industrial and Production Engineering ; Mechanical Engineering ; Media Management ; Original Article ; Parameters ; Particle swarm optimization ; Permanent magnets ; Ripples ; Switching ; Synchronous motors ; Torque</subject><ispartof>International journal of advanced manufacturing technology, 2017-04, Vol.90 (1-4), p.59-72</ispartof><rights>Springer-Verlag London 2016</rights><rights>Copyright Springer Science & Business Media 2017</rights><rights>The International Journal of Advanced Manufacturing Technology is a copyright of Springer, (2016). All Rights Reserved.</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c344t-92084017d0ba2161661d26cf389c56301b517f821afc30679e10c8d806aa08643</citedby><cites>FETCH-LOGICAL-c344t-92084017d0ba2161661d26cf389c56301b517f821afc30679e10c8d806aa08643</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://link.springer.com/content/pdf/10.1007/s00170-016-9092-4$$EPDF$$P50$$Gspringer$$H</linktopdf><linktohtml>$$Uhttps://link.springer.com/10.1007/s00170-016-9092-4$$EHTML$$P50$$Gspringer$$H</linktohtml><link.rule.ids>314,780,784,27924,27925,41488,42557,51319</link.rule.ids></links><search><creatorcontrib>Mesloub, H.</creatorcontrib><creatorcontrib>Benchouia, M. T.</creatorcontrib><creatorcontrib>Goléa, A.</creatorcontrib><creatorcontrib>Goléa, N.</creatorcontrib><creatorcontrib>Benbouzid, M. E. H.</creatorcontrib><title>A comparative experimental study of direct torque control based on adaptive fuzzy logic controller and particle swarm optimization algorithms of a permanent magnet synchronous motor</title><title>International journal of advanced manufacturing technology</title><addtitle>Int J Adv Manuf Technol</addtitle><description>Direct torque control (DTC) of permanent magnet synchronous motor (PMSM) drives is receiving increasing attention due to important advantages, such as fast dynamic and low dependence on motor parameters. However, conventional DTC scheme, based on comparators and the switching table, suffers from large torque and flux ripples. In this paper, two intelligent approaches are proposed in order to improve DTC performance. The first approach is based on two adaptive fuzzy logic controllers (AFLC). The first AFLC replaces the conventional comparators and switching table and the second AFLC adjusts in real time the outer loop PI parameters. In the second approach, particle swarm optimization (PSO) is used as another alternative to adjust the PI parameters. Simulation and experimental results demonstrate the effectiveness of the proposed intelligent techniques. Besides, the system associated with these techniques can effectively reduce flux and torque ripples with better dynamic and steady state performance. Quantitatively, PSO-based DTC approach reduces greatly flux and torque ripples. Further, PSO-based approach maintains a constant switching frequency which improves the PMSM drive system control performance.</description><subject>Adaptive control</subject><subject>Algorithms</subject><subject>CAE) and Design</subject><subject>Comparators</subject><subject>Computer simulation</subject><subject>Computer-Aided Engineering (CAD</subject><subject>Dependence</subject><subject>Engineering</subject><subject>Flux</subject><subject>Fuzzy control</subject><subject>Fuzzy logic</subject><subject>Industrial and Production Engineering</subject><subject>Mechanical Engineering</subject><subject>Media Management</subject><subject>Original Article</subject><subject>Parameters</subject><subject>Particle swarm optimization</subject><subject>Permanent magnets</subject><subject>Ripples</subject><subject>Switching</subject><subject>Synchronous motors</subject><subject>Torque</subject><issn>0268-3768</issn><issn>1433-3015</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2017</creationdate><recordtype>article</recordtype><sourceid>AFKRA</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><sourceid>DWQXO</sourceid><recordid>eNp9kUFv1DAQhS0EEkvhB3AbiXNgbGcd51hVLUWq1As9W7OOs02V2MF2aHf_V_8fDkslLnCay_fmzbzH2EeOnzli8yUh8gYr5KpqsRVV_YpteC1lJZFvX7MNCqUr2Sj9lr1L6aHQiiu9Yc_nYMM0U6Q8_HTgnmYXh8n5TCOkvHQHCD10Q3Q2Qw7xx-IK73MMI-wouQ6CB-po_q3ul-PxAGPYD_aFGl0E8h0UhzzY0UF6pDhBKIJpOBbTVT_uQxzy_ZRWM4JywkS-3AAT7b3LkA7e3sfgw5JgCuWM9-xNT2NyH_7MM3Z3dfn94rq6uf367eL8prKyrnPVCtR1yaXDHYn1YcU7oWwvdWu3qiSz2_Km14JTbyWqpnUcre40KiLUqpZn7NNp7xxDeT1l8xCW6IulEUIJuVVc_pfiWgvNRaPaQvETZWNIKbrezCVpigfD0awdmlOHplRj1g7NulmcNKmwfu_iX5v_KfoFgvqiXw</recordid><startdate>20170401</startdate><enddate>20170401</enddate><creator>Mesloub, H.</creator><creator>Benchouia, M. 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T.</au><au>Goléa, A.</au><au>Goléa, N.</au><au>Benbouzid, M. E. H.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>A comparative experimental study of direct torque control based on adaptive fuzzy logic controller and particle swarm optimization algorithms of a permanent magnet synchronous motor</atitle><jtitle>International journal of advanced manufacturing technology</jtitle><stitle>Int J Adv Manuf Technol</stitle><date>2017-04-01</date><risdate>2017</risdate><volume>90</volume><issue>1-4</issue><spage>59</spage><epage>72</epage><pages>59-72</pages><issn>0268-3768</issn><eissn>1433-3015</eissn><abstract>Direct torque control (DTC) of permanent magnet synchronous motor (PMSM) drives is receiving increasing attention due to important advantages, such as fast dynamic and low dependence on motor parameters. However, conventional DTC scheme, based on comparators and the switching table, suffers from large torque and flux ripples. In this paper, two intelligent approaches are proposed in order to improve DTC performance. The first approach is based on two adaptive fuzzy logic controllers (AFLC). The first AFLC replaces the conventional comparators and switching table and the second AFLC adjusts in real time the outer loop PI parameters. In the second approach, particle swarm optimization (PSO) is used as another alternative to adjust the PI parameters. Simulation and experimental results demonstrate the effectiveness of the proposed intelligent techniques. Besides, the system associated with these techniques can effectively reduce flux and torque ripples with better dynamic and steady state performance. Quantitatively, PSO-based DTC approach reduces greatly flux and torque ripples. Further, PSO-based approach maintains a constant switching frequency which improves the PMSM drive system control performance.</abstract><cop>London</cop><pub>Springer London</pub><doi>10.1007/s00170-016-9092-4</doi><tpages>14</tpages></addata></record> |
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| subjects | Adaptive control Algorithms CAE) and Design Comparators Computer simulation Computer-Aided Engineering (CAD Dependence Engineering Flux Fuzzy control Fuzzy logic Industrial and Production Engineering Mechanical Engineering Media Management Original Article Parameters Particle swarm optimization Permanent magnets Ripples Switching Synchronous motors Torque |
| title | A comparative experimental study of direct torque control based on adaptive fuzzy logic controller and particle swarm optimization algorithms of a permanent magnet synchronous motor |
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