Fuzzy neural network sliding-mode position controller for induction servo motor drive

被引:76
作者
Wai, RJ [1 ]
Lin, FJ [1 ]
机构
[1] Chung Yuan Christian Univ, Dept Elect Engn, Chungli 32023, Taiwan
来源
IEE PROCEEDINGS-ELECTRIC POWER APPLICATIONS | 1999年 / 146卷 / 03期
关键词
D O I
10.1049/ip-epa:19990290
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
A sliding-mode controller with an integral-operation switching surface is adopted to control the position of an induction servo motor drive. Moreover, to relax the requirement for the bound of uncertainties, a fuzzy neural network (FNN) sliding-mode controller is investigated, in which the FNN is utilised to estimate the bound of uncertainties real-time. The theoretical analyses for the proposed FNN sliding-mode controller are described in detail. In addition, to guarantee the convergence of tracking error, analytical methods based on a discrete-type Lyapunov function are proposed to determine the varied learning rates of the FNN. Simulation and experimental results show that the proposed FNN sliding-mode controller provides high-performance dynamic characteristics and is robust with regard to plant parameter variations and external load disturbance. Furthermore, comparing with the sliding-mode controller, smaller control effort results, and the chattering phenomenon is much reduced by the proposed FNN sliding-mode controller.
引用
收藏
页码:297 / 308
页数:12
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