摘要
针对一般滑模控制中存在的系统抖振问题,提出了一种基于模糊遗传算法的滑模变结构控制无刷直流电动机方法。通过使用遗传算法优化的模糊控制柔化滑模控制输出,有效地减小系统抖振。该方法能使系统较好地实现输入参考模型的跟踪,具有自适应强、鲁棒性好的特点。
A scheme that was fuzzy sliding mode control based on genetic algorithms （GA） optimization for brushless DC motor （BLDCM） was proposed in this paper. Optimized fuzzy controller using GA was used to generate flexible output of system for chattering free of sliding mode controller. Excellent flexibility and adaptability as well as high precision and good robustness were obtained by the proposed strategy.
出处
《微特电机》
北大核心
2009年第2期43-46,共4页
Small & Special Electrical Machines
关键词
无刷直流电动机
模糊逻辑
滑模控制
遗传算法
抖振
hrushless DC motor
fuzzy logic
sliding mode control
genetic algorithms
chattering
