基于高增益观测器的非线性系统自适应模糊滑模控制  

Adaptive fuzzy sliding mode control for a class of nonlinear systems based on high gain observer

作　　者：刘云峰[1] 彭云辉 杨小冈[1] 缪栋[1] 袁润平[3] 

机构地区：[1]第二炮兵工程学院303教研室,陕西西安710025 [2]第二炮兵指挥中心,北京100085 [3]西安交通大学电信学院,陕西西安710049

出　　处：《系统工程与电子技术》2009年第7期1723-1727,共5页Systems Engineering and Electronics

摘　　要：针对一类有界的不确定非线性系统,基于高增益观测器并结合自适应模糊逻辑系统和滑模控制,提出了一种基于高增益观测器的自适应模糊滑模控制方案。该方案不需要系统状态可测的条件,而是通过设计高增益观测器来估计系统的状态并能保证观测误差一致最终有界。基于李亚普诺夫函数方法,给出了自适应模糊滑模控制律以及在线调节的参数自适应律。所提出的控制方案不但能使闭环系统稳定,而且保证了跟踪误差的一致最终有界性。仿真结果进一步验证了该控制方案的实用性和有效性。By combining adaptive fuzzy logic systems with sliding mode, a stable adaptive fuzzy sliding mode control method based on high gain observer is proposed for a class of nonlinear systems with uncertainties and external bounded disturbances. It is assumed that only can the system output variable be measured, the state variable are estimated via a high gain observer that guarantee the uniformly ultimate bounds of the observer errors. By using Lyapunov method, the adaptive fuzzy sliding mode control law and the adjusted parameter law on-line are given. The proposed approach can not only ensure the stability of the closed-loop system But also guarantee the uniformly ultimate bounds of the tracking errors. Simulation results demonstrate the effectiveness of the proposed method.

关 键 词：观测器 自适应模糊控制 滑模控制 模糊基函数 

分 类 号：TP273[自动化与计算机技术—检测技术与自动化装置]