Adaptive output feedback fault-tolerant control for MIMO non-affine non-linear systems based on disturbance observer

被引:14
|
作者
Ma, Zhiyao [1 ]
Tong, Shaocheng [1 ]
Li, Yongming [1 ]
机构
[1] Liaoning Univ Technol, Dept Basic Math, Jinzhou 121001, Peoples R China
来源
IET CONTROL THEORY AND APPLICATIONS | 2016年 / 10卷 / 18期
基金
中国国家自然科学基金;
关键词
TRACKING CONTROL; NEURAL-CONTROL; ACCOMMODATION; DYNAMICS;
D O I
10.1049/iet-cta.2016.0612
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
In this study, the fault-tolerant control problem is investigated for a class of non-affine output-constrained multi-input multiple-output non-linear systems with actuator faults. The controlled systems contain unknown non-linear functions, unknown external disturbance and immeasurable states. The fuzzy logic systems and a robust compensation function are employed to deal with the unknown non-linear functions and non-affine non-linear actuator fault problems. Then, the state observer and the non-linear disturbance observer are developed for estimating the immeasurable states and unknown compounded disturbance, respectively. By using the barrier Lyapunov function method and in the unified framework of adaptive backstepping output feedback control design, a novel adaptive fuzzy fault-tolerant controller design scheme is developed. It is shown that all the variables of the closed-loop system are semi-globally uniformly bounded. Moreover, the system outputs cannot violate their predefined bounds in the presence of the non-affine non-linear faults. A simulation is given to validate the effectiveness of the proposed approach.
引用
收藏
页码:2422 / 2436
页数:15
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