一类非线性系统的间接自适应模糊滑模控制

基于启发式知识的模糊控制是一种解决非线性系统控制问题的有效方法。然而其设计缺乏系统性，并且系统的稳定性和鲁棒性难以保证。本文利用滑模控制的概念和Lyapunov综合方法提出一种针对一类非线性系统的间接自适应模糊滑模控制（IAFSMC）方法。仿真研究表明即使在缺少系统先验知识和不确定性干扰的情况下，系统性能也十分理想。

Indirect Adaptive Fuzzy Sliding Mode Conteol of a Class of Nonlinear System

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.