NDLI: Optimization design of Switched Reluctance Motor based on Particle Swarm Optimization

Content Provider	IEEE Xplore Digital Library
Author	Jie Gao Hexu Sun Lin He Yan Dong Yi Zheng
Copyright Year	2011
Description	Author affiliation: School of Control Science and Engineering, Hebei University of Technology, China (Jie Gao; Hexu Sun; Lin He; Yan Dong; Yi Zheng)
Abstract	This paper introduces the Particle Swarm Optimization (PSO) in order to solve the problem that the current stochastic and deterministic optimization methods have not yet obtained the perfect solution to avoid local optimal solution, and the optimal search convergence speed is slow. According to the special nature of Switched Reluctance Motor (SRM) and its design features, the paper enhances PSO global search capability by adjusting and improving conventional algorithm. Finally, this paper describes the design optimization procedure of SRM using the improved PSO with the objective of maximizing average torque and minimizing torque ripple. PSO optimizes the motor design and achieved satisfactory results. The results are compared with GA based on a standard 1.1kW, 8/6 pole, 4 phases SRM. The obtained results are encouraging and verified using Finite Element Analysis (FEA), and the results mean that the adaptive PSO has shown promising success in the design optimization of SRM.
Starting Page	1
Ending Page	5
File Size	582888
Page Count	5
File Format	PDF
ISBN	9781457710445
e-ISBN	9781457710438
DOI	10.1109/ICEMS.2011.6073525
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2011-08-20
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Reluctance motors Torque Optimization Genetic algorithms Rotors Algorithm design and analysis Finite Element Analysis (FEA) Switched Reluctance Motors(SRM) Particle Swarm Optimization(PSO) Genetic Algorithms (GA) Torque ripple
Content Type	Text
Resource Type	Article

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