Torque Ripple Minimization in SRM Based on Advanced Torque Sharing Function Modified by Genetic Algorithm Combined with Fuzzy PSO
This paper presents a new and improved Torque Sharing Function (TSF) to minimize torque ripple of Switched Reluctance Motor (SRM). This approach combined of three steps. At first step, Genetic Algorithm has been used to define the best Turn-on and Turn-off angel of phase current. At second step, a f...
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| Format: | Article |
| Language: | English |
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University of Sistan and Baluchestan
2018-06-01
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| Series: | International Journal of Industrial Electronics, Control and Optimization |
| Subjects: | |
| Online Access: | https://ieco.usb.ac.ir/article_3909_c78d61a13373f65a8ec6ee2e8d1aafe0.pdf |
| _version_ | 1811338797719224320 |
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| author | Hassan Moradi CheshmehBeigi Alireza Mohamadi |
| author_facet | Hassan Moradi CheshmehBeigi Alireza Mohamadi |
| author_sort | Hassan Moradi CheshmehBeigi |
| collection | DOAJ |
| description | This paper presents a new and improved Torque Sharing Function (TSF) to minimize torque ripple of Switched Reluctance Motor (SRM). This approach combined of three steps. At first step, Genetic Algorithm has been used to define the best Turn-on and Turn-off angel of phase current. At second step, a fuzzy logic controller system has been designed as a new TSF. Finally, at the last step, Particle Swarm Optimization (PSO) has been used to optimize Fuzzy membership function. The two main merits of this approach are that the proposed control algorithm can be used in wide speed ranges and also three-step-design and optimization makes this approach enable to perfectly results in smooth torque. The effectiveness of this approach has been verified through a simulation of four phase 8/6 SRM in Matlab/Simulink. Obtained result from simulation shown that the produced torque was high quality and its ripple was one-third of fuzzy TSF. This proposed method is very powerful to adapt itself for various kind of SRMs with different parameters. |
| first_indexed | 2024-04-13T18:15:53Z |
| format | Article |
| id | doaj.art-37063628e1694b1eaf5cfb1e2f29d024 |
| institution | Directory Open Access Journal |
| issn | 2645-3517 2645-3568 |
| language | English |
| last_indexed | 2024-04-13T18:15:53Z |
| publishDate | 2018-06-01 |
| publisher | University of Sistan and Baluchestan |
| record_format | Article |
| series | International Journal of Industrial Electronics, Control and Optimization |
| spelling | doaj.art-37063628e1694b1eaf5cfb1e2f29d0242022-12-22T02:35:41ZengUniversity of Sistan and BaluchestanInternational Journal of Industrial Electronics, Control and Optimization2645-35172645-35682018-06-0111718010.22111/ieco.2018.24302.10163909Torque Ripple Minimization in SRM Based on Advanced Torque Sharing Function Modified by Genetic Algorithm Combined with Fuzzy PSOHassan Moradi CheshmehBeigi0Alireza Mohamadi1Electrical Eng. Dep.Razi uniThis paper presents a new and improved Torque Sharing Function (TSF) to minimize torque ripple of Switched Reluctance Motor (SRM). This approach combined of three steps. At first step, Genetic Algorithm has been used to define the best Turn-on and Turn-off angel of phase current. At second step, a fuzzy logic controller system has been designed as a new TSF. Finally, at the last step, Particle Swarm Optimization (PSO) has been used to optimize Fuzzy membership function. The two main merits of this approach are that the proposed control algorithm can be used in wide speed ranges and also three-step-design and optimization makes this approach enable to perfectly results in smooth torque. The effectiveness of this approach has been verified through a simulation of four phase 8/6 SRM in Matlab/Simulink. Obtained result from simulation shown that the produced torque was high quality and its ripple was one-third of fuzzy TSF. This proposed method is very powerful to adapt itself for various kind of SRMs with different parameters.https://ieco.usb.ac.ir/article_3909_c78d61a13373f65a8ec6ee2e8d1aafe0.pdfsrmtorque sharing functionripple minimizationfuzzy interface system |
| spellingShingle | Hassan Moradi CheshmehBeigi Alireza Mohamadi Torque Ripple Minimization in SRM Based on Advanced Torque Sharing Function Modified by Genetic Algorithm Combined with Fuzzy PSO International Journal of Industrial Electronics, Control and Optimization srm torque sharing function ripple minimization fuzzy interface system |
| title | Torque Ripple Minimization in SRM Based on Advanced Torque Sharing Function Modified by Genetic Algorithm Combined with Fuzzy PSO |
| title_full | Torque Ripple Minimization in SRM Based on Advanced Torque Sharing Function Modified by Genetic Algorithm Combined with Fuzzy PSO |
| title_fullStr | Torque Ripple Minimization in SRM Based on Advanced Torque Sharing Function Modified by Genetic Algorithm Combined with Fuzzy PSO |
| title_full_unstemmed | Torque Ripple Minimization in SRM Based on Advanced Torque Sharing Function Modified by Genetic Algorithm Combined with Fuzzy PSO |
| title_short | Torque Ripple Minimization in SRM Based on Advanced Torque Sharing Function Modified by Genetic Algorithm Combined with Fuzzy PSO |
| title_sort | torque ripple minimization in srm based on advanced torque sharing function modified by genetic algorithm combined with fuzzy pso |
| topic | srm torque sharing function ripple minimization fuzzy interface system |
| url | https://ieco.usb.ac.ir/article_3909_c78d61a13373f65a8ec6ee2e8d1aafe0.pdf |
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