基于粒子群优化的4/2开关磁阻电机设计研究

W. Phuangmalai, M. Konghirun, N. Chayopitak
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引用次数: 17

摘要

将粒子群优化算法应用于4/2开关磁阻电机的优化设计。设计4/2 SRM的主要优点是坚固的转子结构,适用于高速单向旋转应用,如空调的鼓风机。在设计过程中,还采用磁学有限元法(FEMM)对设计的SRM进行了分析,并利用粒子群算法给出了SRM的优化参数。该算法具有高效、灵活的特点。目标函数是基于相对于转子节点位置的纹波转矩最小化。描述了粒子群算法,并给出了初步的FEMM仿真结果,以验证粒子群算法的转子优化设计。在最后的论文中,将提供完整的FEMM仿真结果并进行详细的分析。
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A design study of 4/2 switched reluctance motor using particle swarm optimization
This paper presents the use of particle swarm optimization (PSO) algorithm applied to the optimal design of the 4/2 switched reluctance motor (SRM). The main advantage of designing 4/2 SRM is the robust rotor structure for high speed unidirectional rotating applications such as the air conditioner's blower. In the designing process, the finite element method magnetics (FEMM) is also employed to analyze the designing SRM with its optimized parameters given by PSO. This PSO algorithm is efficient and flexible. The objective function is based on the ripple torque minimization with respect to rotor node position. The PSO algorithm is described and the preliminary FEMM simulation results will be given for verifying optimal rotor design by PSO algorithm. In the final paper, the complete FEMM simulation results with detailed analysis will be provided.
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