基于自适应动态规划的一类非线性系统的容错控制器设计  

Fault Tolerant Controller Design Based on Adaptive Dynamic Programming for A Class of Nonlinear Systems

作　　者：戴姣 刘春生[1] 孙景亮[1] DAI Jiao;LIU Chun-sheng;SUN Jing-liang(Nanjing University of Aeronautics and Astronautics,Nanjing 211106,China)

机构地区：[1]南京航空航天大学,南京211106

出　　处：《电光与控制》2018年第10期84-88,共5页Electronics Optics & Control

基　　金：中央高校基本科研业务费专项资金资助;南京航空航天大学研究生创新基地(实验室)开放基金(kfjj20170304;kfjj20170320)

摘　　要：针对存在执行器故障的一类仿射非线性系统,基于自适应动态规划方法,提出了一种新型的容错控制器。利用故障观测器估计执行器故障,并利用故障信息构建一个改进型的性能指标函数,将容错控制问题转化为最优控制问题。同时使用策略迭代(PI)算法,通过构造评价神经网络来求解HJB方程,获得近似最优容错控制律,并且基于李雅普诺夫函数,证明该容错控制器可以确保闭环系统渐近稳定。最后,通过仿真验证了该方法的有效性。A novel Fault Tolerant Control （FTC） scheme is developed based on Adaptive Dynamic Programming （ADP） for a class of affine nonlinear systems with actuator failures. The estimated actuator failure from a fault observer is utilized to construct an improved performance index function, so the FTC problem can be transformed into an optimal control problem. By using Policy Iteration （ PI ） algorithm, the Hamihon-Jacobi-Bellman equation can be solved by constructing a critic neural network. Then, the approximate optimal controller can be derived directly. The closed-loop system is guaranteed to be asymptotically stable via the Lyapunov stability theorem. Finally, an example is presented to demonstrate the effectiveness of the proposed method.

关 键 词：故障容错控制 自适应动态规划 神经网络 故障估计 

分 类 号：V249.1[航空宇航科学与技术—飞行器设计]