Adaptive Fuzzy Sliding Mode Control for a Class of Unknown Nonlinear Systems

摘要：

A new adaptive fuzzy control algorithm which combines sliding mode controller and a proportional-integral (PI) controller into a single adaptive fuzzy sliding mode controller (AFSMC) is proposed for a class of unknown nonlinear systems. The AFSMC can tackle the control problem of unknown nonlinear systems and systems with modeling uncertainties and external disturbance. The role of the controller is to schedule control under different operating conditions. In this way, the advantage of each control method before combining can be retained while any disadvantages are removed. The proposed control scheme provides good transient and robust performance. Moreover, the drawback of chattering phenomenon in SMC can be avoided. The AFSMC scheme is proved to guarantee the global stability of the closed-loop system.

关键词： Adaptive fuzzy control Sliding mode control Proportional-integral (PI) control Chattering elimination

作者: Geng Feng Zhu Xiaoping

作者单位: School of astronautics, Northwestern Polytechnical University, Xian, P. R. China, 710072

会议类型: 国际会议

会议名称: 第七届国际测试技术研讨会

会议地点: 北京

会议语种:英文

在线出版日期: 2007-08-05（万方平台首次上网日期，不代表论文的发表时间）