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An Effective Torque Ripple Reduction for Permanent Magnet Synchronous Motor Using Ant Colony Optimization
In order to optimize the direct torque control performance of the permanent magnet synchronous motor (PMSM) system with different disturbances and uncertainties, development of an effective torque ripple reduction technique for PMSM servo drive using ant colony optimization (ACO) has been explained...
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Published in: | International journal of fuzzy systems 2015-12, Vol.17 (4), p.577-584 |
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container_title | International journal of fuzzy systems |
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creator | Senthil Rama, R. Latha, P. |
description | In order to optimize the direct torque control performance of the permanent magnet synchronous motor (PMSM) system with different disturbances and uncertainties, development of an effective torque ripple reduction technique for PMSM servo drive using ant colony optimization (ACO) has been explained in this paper. ACO algorithm has been tested on a large number of samples as it produces a reduced total harmonic distortion result than other algorithms. So it is robust against motor parameter and load torque variations due to the usages of space vector modulation technique. The performance of the proposed controller is established through MATLAB and Simulink simulation with the comparisons of conventional and ANFIS controller. The simulation results explain a significant augmentation in abbreviating development time, and the system performance is also improved and it produces results very close to those of the currently best performing algorithms. |
doi_str_mv | 10.1007/s40815-015-0077-5 |
format | article |
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ACO algorithm has been tested on a large number of samples as it produces a reduced total harmonic distortion result than other algorithms. So it is robust against motor parameter and load torque variations due to the usages of space vector modulation technique. The performance of the proposed controller is established through MATLAB and Simulink simulation with the comparisons of conventional and ANFIS controller. The simulation results explain a significant augmentation in abbreviating development time, and the system performance is also improved and it produces results very close to those of the currently best performing algorithms.</description><identifier>ISSN: 1562-2479</identifier><identifier>EISSN: 2199-3211</identifier><identifier>DOI: 10.1007/s40815-015-0077-5</identifier><language>eng</language><publisher>Berlin/Heidelberg: Springer Berlin Heidelberg</publisher><subject>Algorithms ; Ant colony optimization ; Artificial Intelligence ; Computational Intelligence ; Controllers ; Design specifications ; Engineering ; Harmonic distortion ; Heuristic ; Management Science ; Operations Research ; Optimization ; Parameter robustness ; Permanent magnets ; Pheromones ; Reduction ; Servoamplifiers ; Space vector modulation ; Synchronous motors ; Torque</subject><ispartof>International journal of fuzzy systems, 2015-12, Vol.17 (4), p.577-584</ispartof><rights>Taiwan Fuzzy Systems Association and Springer-Verlag Berlin Heidelberg 2015</rights><rights>Taiwan Fuzzy Systems Association and Springer-Verlag Berlin Heidelberg 2015.</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c349t-be109f8fed54998722d65ef2b1f9870f17957ce4bf1536fb4c24bcf82434c9f43</citedby><cites>FETCH-LOGICAL-c349t-be109f8fed54998722d65ef2b1f9870f17957ce4bf1536fb4c24bcf82434c9f43</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,780,784,27924,27925</link.rule.ids></links><search><creatorcontrib>Senthil Rama, R.</creatorcontrib><creatorcontrib>Latha, P.</creatorcontrib><title>An Effective Torque Ripple Reduction for Permanent Magnet Synchronous Motor Using Ant Colony Optimization</title><title>International journal of fuzzy systems</title><addtitle>Int. 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J. Fuzzy Syst</stitle><date>2015-12-01</date><risdate>2015</risdate><volume>17</volume><issue>4</issue><spage>577</spage><epage>584</epage><pages>577-584</pages><issn>1562-2479</issn><eissn>2199-3211</eissn><abstract>In order to optimize the direct torque control performance of the permanent magnet synchronous motor (PMSM) system with different disturbances and uncertainties, development of an effective torque ripple reduction technique for PMSM servo drive using ant colony optimization (ACO) has been explained in this paper. ACO algorithm has been tested on a large number of samples as it produces a reduced total harmonic distortion result than other algorithms. So it is robust against motor parameter and load torque variations due to the usages of space vector modulation technique. The performance of the proposed controller is established through MATLAB and Simulink simulation with the comparisons of conventional and ANFIS controller. 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subjects | Algorithms Ant colony optimization Artificial Intelligence Computational Intelligence Controllers Design specifications Engineering Harmonic distortion Heuristic Management Science Operations Research Optimization Parameter robustness Permanent magnets Pheromones Reduction Servoamplifiers Space vector modulation Synchronous motors Torque |
title | An Effective Torque Ripple Reduction for Permanent Magnet Synchronous Motor Using Ant Colony Optimization |
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