一类非线性系统模型参考自适应模糊控制  

Model Reference Adaptive Fuzzy Control for One Class of Nonlinear Systems

作　　者：姚俭[1] 吴健中[1] 徐福缘[2] 

机构地区：[1]上海交通大学管理学院 [2]上海理工大学

出　　处：《上海交通大学学报》1998年第12期120-123,共4页Journal of Shanghai Jiaotong University

摘　　要：针对一类过程结构和参数都存在很大不确定性或未知的非线性系统，利用模糊逻辑系统的逼近能力，提出了模型参考自适应模糊控制器设计的系统方法．基于μ－修正方案，建立了未知参数的自适应调节律．利用李雅普诺夫理论，证明了基于自适应模糊控制算法的闭环系统是全局稳定的，系统的跟踪误差在有限时间内可收敛到任意给定的零的一个邻域内．仿真结果显示了这一新方法的有效性．This paper presents a systematic methodology to the design of a model reference adaptive fuzzy controller for a class of nonlinear uncertain systems. The design is based on the approximation capability of fuzzy logic systems. Based on the μ modification scheme, an adaptive law is constructed for unknown parameters. By using the Lyapunov theory, the closed loop system with the adaptive fuzzy control algorithm is proven to be globally stable and, moreover, the tracking error can enter an arbitrarily designated neighborhood of zero in a finite time. The simulation results are given which show the method is valid.

关 键 词：模糊控制 自适应控制 全局稳定性 非线性系统 

分 类 号：TP273[自动化与计算机技术—检测技术与自动化装置]