I&I adaptive fault-tolerant control of a class of nonaffine systems with nonlinearly parameterised faults

被引:0
|
作者
Zhang, Min [1 ]
Liu, Xiangbin [1 ,4 ]
Zhang, Xiaoyu [2 ]
Su, Hongye [3 ]
机构
[1] Beijing Jiaotong Univ, Sch Elect Informat Engn, Beijing, Peoples R China
[2] Beijing Univ Civil Engn & Architecture, Beijing Key Lab Robot Bion & Funct Res, Beijing, Peoples R China
[3] Zhejiang Univ, Inst CSC, State Key Lab Ind Control Technol, Hangzhou, Peoples R China
[4] Beijing Jiaotong Univ, Sch Elect Informat Engn, Beijing 100044, Peoples R China
基金
中国国家自然科学基金;
关键词
Immersion and invariance manifold; dynamic feedback control; dynamic surface control; nonaffine systems; nonlinearly parameterisation; UNCERTAIN SYSTEMS; NEURAL-CONTROL;
D O I
10.1080/23307706.2023.2260812
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
This paper provides a novel fault-tolerant control scheme for a class of nonaffine systems with nonlinearly parameterised (NLP) faults. The nonaffine system is firstly transformed into an augmented one via dynamic feedback control. A fault-tolerant controller with Immersion and Invariance (I&I) adaptation law is designed for the transformed system through dynamic surface control. The controller avoids complexity due to the explosion of terms in backstepping design. The I&I adaptation law is developed to recover the unknown parameters of NLP faults in the system. The proposed scheme can shape the transient performance of the parameter estimation error and tracking error. In the tracking problem, all the signals and tracking error converge exponentially to a small neighbourhood of the origin. In the regulation problem, the system output converges exponentially to zero. A numerical simulation is carried out to verify the effectiveness of the proposed scheme.
引用
收藏
页数:11
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