Saturation Compensation Control of Induction Motors Using Adaptive Neural Networks

摘要：

In this paper, we present a new adaptive technique of induction motors systems with unknown saturation. The method is systematic and robust to parameter variations Neural network is adopted to estimate unknown function of systems and approximate the unknown input compensation part of actuator. Another most prominent feature of the scheme is which can ensure the system is uniformly ultimately bounded which is proved by Lyapunov theory, and considering the network reconstruction error and the system’s external disturbance. The tracking error can be freely adjusted by known form. The simulation example is given to illustrate the effectiveness of this method.

关键词： saturation compensation neural network control Induction motor adaptive control

作者: Fang Min Zhang Yong Wang Zhonghua Fang Hui Wang Qianhong

作者单位: The School of Control Science and Engineering University of Jinan Jinan, Shan Dong Province, China

会议类型: 国际会议

会议名称: 2007 IEEE International Conference on Automation and Lofistics

会议地点: 山东济南

会议语种:英文

在线出版日期: 2007-08-18（万方平台首次上网日期，不代表论文的发表时间）