Adaptive fuzzy sliding mode control of uncertain nonlinear SISO systems

摘要：

In order to improve the performance of singleinput single-output (SISO) nonlinear systems with uncertainties, an adaptive fuzzy sliding mode controller (AFSMC) that combines linearization feedback is presented in this paper.The fuzzy logic system is used to approximate the unknown system function and the AFSMC algorithm is designed by used of sliding mode control techniques.Based on the Lyapunov theory, the continuous function is designed to eliminate the chatting action of the control signal.The simplicity of the proposed scheme facilitates its implementation and the overall control scheme guarantees the global asymptotic stability if all the signals involved are uniformly bounded. Simulation results have shown that the proposed controller shows superior tracking performance. AFSMC can effectively achieve desired performance and have much more advantages over conventional SMC.

关键词： Adaptive control fuzzy system sliding mode control nonlinear system linearization feedback

作者: Shaojiang WANG Li HOU Lu DONG Huajun XIAO

作者单位: School of Manufacturing Science and Engineering,Sichuan University,Chengdu and 610065,China

会议类型: 国际会议

会议名称: International Conference on Advances in Engineering 2011(2011年工程研究进展国际学术会议 ICAE2011)

会议地点: 南京

会议语种:英文

页码: 33-37

在线出版日期: 2011-12-17（万方平台首次上网日期，不代表论文的发表时间）