自动化学报2018，Vol.44Issue(12)：2188-2197,10.DOI:10.16383/j.aas.2018.c170300
执行器故障不确定非线性系统最优自适应输出跟踪控制
Optimal Adaptive Output Tracking Control for a Class of Uncertain Nonlinear Systems With Actuator Failures
摘要
Abstract
An optimal adaptive actuator failure output tracking control scheme is proposed for a class of multi-input multi-output (MIMO) uncertain affine nonlinear continuous-time systems with redundant actuators subject to uncertain failures. The weight adjustment law of the neural network uncertainty estimators can guarantee the stability of the control system, and only critic neural network is used in the proposed adaptive dynamic programming (ADP) scheme to simultaneously get the infinite horizon cost function and the approximate optimal control input satisfying the HamiltonJacobi-Bellman (HJB) equation. Considering the stuck-in-space and loss of effectiveness faults of actuators, an optimal adaptive compensation control scheme is designed, which can guarantee the uniformly ultimate boundedness tracking ability of the closed loop system. Flight control simulations and comparative analysis results have demonstrated the effectiveness and advantage of the proposed method.关键词
多输出多输出非线性系统/执行器故障/自适应动态规划/最优自适应控制/输出跟踪控制/神经网络Key words
MIMO nonlinear systems/actuator failure/adaptive dynamic programming/optimal adaptive control/output tracking control/neural networks引用本文复制引用
张绍杰,吴雪,刘春生..执行器故障不确定非线性系统最优自适应输出跟踪控制[J].自动化学报,2018,44(12):2188-2197,10.基金项目
国家自然科学基金(61473147)资助 （61473147）
