Title :
Optimization design of Switched Reluctance Motor based on Particle Swarm Optimization
Author :
Gao, Jie ; Sun, Hexu ; He, Lin ; Dong, Yan ; Zheng, Yi
Author_Institution :
Sch. of Control Sci. & Eng., Hebei Univ. of Technol., Tianjin, China
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.
Keywords :
minimisation; particle swarm optimisation; reluctance motors; search problems; torque; PSO global search capability; SRM; average torque maximization; motor design optimization; optimal search convergence speed; particle swarm optimization; switched reluctance motor design; torque ripple minimization; Algorithm design and analysis; Genetic algorithms; Optimization; Reluctance motors; Rotors; Torque; Finite Element Analysis (FEA); Genetic Algorithms (GA); Particle Swarm Optimization(PSO); Switched Reluctance Motors(SRM); Torque ripple;
Conference_Titel :
Electrical Machines and Systems (ICEMS), 2011 International Conference on
Conference_Location :
Beijing
Print_ISBN :
978-1-4577-1044-5
DOI :
10.1109/ICEMS.2011.6073525
