Adaptive optimal fault-tolerant control scheme for a class of strict-feedback nonlinear systems

被引：10
|
作者：
Dai, Jiao [1 ]
Liu, Chunsheng [1 ]
Sun, Jingliang [1 ]
机构：
[1] Nanjing Univ Aeronaut & Astronaut, Coll Automat Engn, Nanjing 210016, Jiangsu, Peoples R China
来源：
TRANSACTIONS OF THE INSTITUTE OF MEASUREMENT AND CONTROL | 2019年 / 41卷 / 04期
基金：
中国国家自然科学基金;
关键词：
Fault-tolerant control; strict-feedback nonlinear systems; adaptive dynamic programming (ADP); backstepping; neural networks; DESIGN;
D O I：
10.1177/0142331218786529
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
An active optimal fault-tolerant control (FTC) scheme for a class of nonlinear systems in strict-feedback form in the presence of partial loss of actuator effectiveness faults is proposed, using backstepping design technique and adaptive dynamic programming (ADP) algorithm to compensate the effects of failure. The proposed FTC scheme consists of feedforward controller that achieve the objective of fault-tolerant and feedback optimal controller, which can guarantee the performance index function is minimized. Since fault estimation and control law parameters are updated online, the control system has an adaptive failure compensation capability so as to reconfigure the control law in real time in response to failure indications. Based on Lyapunov stability theory, the whole closed-loop system is guaranteed to be ultimately uniformly bounded. Finally, the effectiveness of the proposed method is demonstrated by simulation.
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页码：1079 / 1087
页数：9
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