Indirect Adaptive Fuzzy Sliding Mode Conteol of a Class of Nonlinear System
LI Zhimin ,XUN Xiaohui (College of Information Science and Engineering,Central South University,Changsha,Hunan,410083)
Abstract:Heuristic based fuzzy control has proven to be an effective approach to deal with the control problem of nonlinear systems. However, it lacks systematic and sound parameters tuning techniques. Moreover, the stability and robustness properties of such a system are difficult to be analyzed. in this paper, by using the concept of sliding mode control design and Lyapunov synthesis approach, we propose an indirect adaptive fuzzy sliding mode control scheme (IAFSMC) for a class of nonlinear systems. Simulation has shown that the presented adaptive design of fuzzy sliding mode controller performs very well without the need for an a priori heuristic knowledge about the controller as well as the system model, and even in the presence of unknown disturbance.