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Moradi CheshmehBeigi, Hassan, Mohamadi, Alireza. (1397). Torque Ripple Minimization in SRM Based on Advanced Torque Sharing Function Modified by Genetic Algorithm Combined with Fuzzy PSO. نشریه علمی دانشگاه سیستان و بلوچستان, 1(1), 71-80. doi: 10.22111/ieco.2018.24302.1016
Hassan Moradi CheshmehBeigi; Alireza Mohamadi. "Torque Ripple Minimization in SRM Based on Advanced Torque Sharing Function Modified by Genetic Algorithm Combined with Fuzzy PSO". نشریه علمی دانشگاه سیستان و بلوچستان, 1, 1, 1397, 71-80. doi: 10.22111/ieco.2018.24302.1016
Moradi CheshmehBeigi, Hassan, Mohamadi, Alireza. (1397). 'Torque Ripple Minimization in SRM Based on Advanced Torque Sharing Function Modified by Genetic Algorithm Combined with Fuzzy PSO', نشریه علمی دانشگاه سیستان و بلوچستان, 1(1), pp. 71-80. doi: 10.22111/ieco.2018.24302.1016
Moradi CheshmehBeigi, Hassan, Mohamadi, Alireza. Torque Ripple Minimization in SRM Based on Advanced Torque Sharing Function Modified by Genetic Algorithm Combined with Fuzzy PSO. نشریه علمی دانشگاه سیستان و بلوچستان, 1397; 1(1): 71-80. doi: 10.22111/ieco.2018.24302.1016

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
مقاله 8، دوره 1، شماره 1، شهریور 2018، صفحه 71-80    اصل مقاله (2.77 M)
نوع مقاله: Research Articles
شناسه دیجیتال (DOI): 10.22111/ieco.2018.24302.1016
نویسندگان
Hassan Moradi CheshmehBeigi* 1؛ Alireza Mohamadi2
1Electrical Eng. Dep.
2Razi uni
چکیده
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.
کلیدواژه‌ها
SRM؛ Torque Sharing Function؛ ripple minimization؛ fuzzy interface System
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