Online fault compensation control based on policy iteration algorithm for a class of affine nonlinear systems with actuator failures
Zhao B(赵博)
2016
发表期刊IET Control Theory & Applications
卷号10期号:15页码:1816-1823
摘要
In this study, a novel online fault compensation control scheme based on policy iteration (PI) algorithm is developed for a class of affine non-linear systems with actuator failures. The control scheme consists of a PI algorithm and a fault compensator. For fault-free dynamic models, the PI algorithm is developed to solve the Hamilton–Jacobi–Bellman equation by constructing a critic neural network, and then the approximate optimal control policy can be derived directly. Alternatively, the actuator failure is reconstructed adaptively to achieve online fault compensation without the fault detection and isolation mechanism. The closed-loop system is proved to be asymptotically stable via Lyapunov's direct method. Two numerical simulation examples are given to demonstrate the effectiveness of the proposed fault compensation control scheme.
关键词自适应动态规划 容错控制
文献类型期刊论文
条目标识符http://ir.ia.ac.cn/handle/173211/20329
专题复杂系统管理与控制国家重点实验室_平行控制
推荐引用方式
GB/T 7714
Zhao B. Online fault compensation control based on policy iteration algorithm for a class of affine nonlinear systems with actuator failures[J]. IET Control Theory & Applications,2016,10(15):1816-1823.
APA Zhao B.(2016).Online fault compensation control based on policy iteration algorithm for a class of affine nonlinear systems with actuator failures.IET Control Theory & Applications,10(15),1816-1823.
MLA Zhao B."Online fault compensation control based on policy iteration algorithm for a class of affine nonlinear systems with actuator failures".IET Control Theory & Applications 10.15(2016):1816-1823.
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