摘要
针对模糊控制器参数在线调节方面的不足,提出了一种基于粒子群算法优化的模糊控制器,对模糊控制器参数进行全局优化,并用于无刷直流电机的控制中。系统使用电流和转速双闭环控制,速度环采用粒子群优化模糊控制器。并在仿真实验中实现控制器参数的在线调节,系统较好地实现了给定速度参考模型的自适应跟踪,具有控制灵活、适应性强等优点,同时又具有较高的控制精度和较好的鲁棒性。
Due to the shortage of the online adjustment of parameters in fuzzy logic controller, a fuzzy logic controller based on particle swarm optimization was presented. Particle swarm optimization was used to optimize three proportional parameters of fuzzy logic controller and this controller was applied in the control of brushles DC motor. The system includes current and speed closed loops. The speed loop uses fuzzy logic controller based on particle swarm optimization. Simulation results prove the flexibility of the control system in real time. Excellent flexibility and adaptability as well as high precision and good robustness were obtained by the proposed strategy.
出处
《机床与液压》
北大核心
2008年第B07期337-340,共4页
Machine Tool & Hydraulics
