摘要
研究了模糊控制与学习控制相结合的控制方法,既保持模糊控制的强鲁棒性的优点,又可通过选择合适的学习算法修正不完善的模糊规则。设计出结构合理的模糊学习控制器,将其应用于电液疲劳试验机力控系统,并进行了仿真研究。仿真结果表明对于该系统采用模糊学习控制,效果明显优于传统的PID控制。
The approach of combining the iterative learning control algorithm with the fuzzy control meth-
od is presented. The system not only has advantages of strong robustness in fuzzy control, but also
can select appropriate learning arithmetic correct defective fuzzy rule. The reasonable fuzzy learning
controller is designed and applied to the electro-hydraulic servo force control system. The result of
simulation shows that the fuzzy learning control is superior to the traditional PID control of the sys-
tem.
出处
《电机与控制学报》
EI
CSCD
北大核心
2004年第1期56-59,共4页
Electric Machines and Control
基金
山西省自然基金(20011037)
