A Multi-Objective Particle Swarm Optimization based Current Control and Torque Control for 8/6 Switched Reluctance Motor

M. M, H. Kumar R
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Abstract

The high torque ripples developed in the switched reluctance motor (SRM) limit its usage for high-performance applications. The methods designed to lower the torque ripple affects the efficiency of drive system. This paper introduces a comprehensive analysis of particle swarm optimization (PSO) based tuning of the hysteresis current controller and direct instantaneous torque controller for a 4-phase 8/6 SRM. The controller parameters and commutation angles are optimized for reduced torque ripple, improved efficiency, and better steady-state performance. Simulations are run in the MATLAB/SIMULINK environment and the results support the efficacy of the suggested method.
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基于多目标粒子群优化的8/6开关磁阻电机电流和转矩控制
开关磁阻电机(SRM)的高转矩波纹限制了其在高性能应用中的使用。减小转矩脉动的方法影响着传动系统的效率。介绍了基于粒子群优化(PSO)的四相8/6 SRM滞回电流控制器和直接瞬时转矩控制器的整定方法。优化了控制器参数和换相角,以减小转矩脉动,提高效率和更好的稳态性能。在MATLAB/SIMULINK环境下进行了仿真,结果支持了所提方法的有效性。
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