摘要
提出用模糊辨识器对交流伺服系统离线进行辨识，使用遗传算法（GA）对辨识器参数寻优，用BP算法对控制器FNC最后一层权值在线调整，论述了用GA对控制器模糊隶属函数的参数优化训练方法。仿真结果证明了控制策略的有效性。
In this paper, a method of off-line identification based on fuzzy identifier used for AC servo system is proposed. In the design, the ways of using GA to optimize parameters of fuzzy identifier and using BP algorithm on-line to adjust last layer weight value of FNC are proposed respectively. A method to optimize parameters of menbership function of fuzzy controller using GA is demonstrated emphatically. The simulation results show the effectiveness of the scheme.
出处
《电子科技大学学报》
EI
CAS
CSCD
北大核心
2000年第3期265-268,共4页
Journal of University of Electronic Science and Technology of China
基金
安徽省教育科研基金!99J10168
关键词
模糊辨识器
遗传算法
交流伺服系统
fuzzy identifier
fuzzy neural network controller
genetic algorithm, AC servo system
