Fuzzy based Adaptive Dynamic Surface Control for a Class of Uncertain Nonlinear Systems in Strict-feedback Form

摘要：

This paper provides a simplified design scheme for the control of a class of nonlinear systems in strict-feedback form by incorporating dynamic surface control (DSC) method into an adaptive fuzzy logic system. The DSC method overcomes the problem of explosion of complexity in the traditional backstepping design. Fuzzy logic system (FLS) is used to approximate the nonlinear uncertainty. Adaptation law adjusts those fuzzy parameters online to minimize the approximation error. This new scheme not only eliminates the problem of explosion of complexity in backstepping scheme,but also guarantees the semiglobal uniform boundedness of the solution of the closed-loop system,and makes the tracking error converge to a small residual set. Simulation results illustrate that the new scheme is effective.

关键词： dynamic surface control fuzzy logic system strict-feedback form system adaptive control.

作者: Oakka Aung Yan Lin Qichao Zhao

作者单位: School of Automation Science and Electrical Engineering,Beijing University of Aeronautics and Astronautics XueYuan Road No.37,BeiJing 100191,China

会议类型: 国际会议

会议名称: 2009 9th International Conference on Electronic Measurement & Instruments(第九届电子测量与仪器国际会议 ICEMI2009)

会议地点: 北京

会议语种:英文

页码: 2627-2633

在线出版日期: 2009-08-16（万方平台首次上网日期，不代表论文的发表时间）