摘要
针对传统PI控制器组成开关磁阻电机调速系统在低速时动态性能差这一问题,设计一种基于粒子群优化算法实现的三相开关磁阻电机调速系统,并与传统PI控制器、模糊PI控制器实现的调速系统进行了比较。通过这3个系统的实用性、简易程度和可控性,以及突然改变电机转速和转矩,系统的响应时间和稳定性这几个方面得出基于粒子群优化算法的模糊PI控制器调速性能更优,并通过Matlab/Simulink仿真进行验证。仿真结果证明:该粒子群优化算法的模糊PI控制器性能明显优于传统PI控制器和模糊PI控制器,实现的三相开关磁阻电机调速系统在最短的时间内达到稳定。
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 soeed control system can realize stable in the shortest time.
出处
《兵工自动化》
2013年第10期76-79,共4页
Ordnance Industry Automation
基金
2011年国家青年自然科学基金项目(51107107)
