兵工自动化Issue(10)：76-79,4.DOI:10.7690/bgzdh.2013.10.021
基于粒子群算法实现的开关磁阻电机调速系统
Switch Reluctance Motor Speed Control System Based on Particle Swarm Algorithm
摘要
Abstract
Aiming at the bad dynamic capability of traditional PI controller switch reluctance motor speed control system at low speed, design an algorithm based on particle swarm optimization to realize three phase switched reluctance motor speed control system, and compare it with traditional PI controller speed control system and fuzzy PI controller speed control system. Through comparing practicability, simplicity, control degree, immediate changing motor rotating speed, rotate torque, system response time and stability of the three systems, the fuzzy PI controller based on particle swarm optimization algorithm can control speed better. Then validate it through Matlab/Simulink simulation. The simulation result shows that:the fuzzy PI controller based on particle swarm optimization algorithm has better performance than traditional PI controller and fuzzy PI controller. Based on the controller, the three phase switched reluctance motor speed control system can realize stable in the shortest time.关键词
PI控制器/模糊PI控制器/粒子群最优化(PSO)/三相开关磁阻电机Key words
PI controller/fuzzy PI controller/particle swarm optimization(PSO)/three phase switched reluctance motor分类
信息技术与安全科学引用本文复制引用
马鹏宇,王洪诚,王秀娟,沈霞,徐恒娇..基于粒子群算法实现的开关磁阻电机调速系统[J].兵工自动化,2013,(10):76-79,4.基金项目
2011年国家青年自然科学基金项目(51107107) （51107107）
