Open AccessAdaptive fuzzy fault‐tolerant control for non‐linear systems under actuator and sensor faults: the practical fixed‐time stability
Author(s) -
Yang Yekai,
Niu Yugang,
Zhang Zhina
Publication year - 2020
Publication title -
iet control theory and applications
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.059
H-Index - 108
eISSN - 1751-8652
pISSN - 1751-8644
DOI - 10.1049/iet-cta.2020.0689
Subject(s) - control theory (sociology) , actuator , fault tolerance , fuzzy logic , bounded function , backstepping , control reconfiguration , fuzzy control system , convergence (economics) , fault (geology) , computer science , multiplicative function , stability (learning theory) , adaptive control , engineering , mathematics , control (management) , distributed computing , artificial intelligence , machine learning , seismology , geology , mathematical analysis , economic growth , economics , embedded system
This study investigates the adaptive fault‐tolerate control for strict‐feedback non‐linear system, in which actuator and sensor faults may happen simultaneously. Moreover, the additive and multiplicative faults are considered, which cover the bias, drift, loss of accuracy, and loss of effectiveness faults. Under the multiple sensor faults, a modified backstepping technique involving in the faulted states is proposed by utilising the fuzzy approximation to the unknown non‐linear functions. Later, the adaptive fuzzy fault‐tolerant control strategy is designed to ensure the practical fixed‐time stability of the closed‐loop system. Meanwhile, the convergence time is independent of the initial states of the system, and the control performance can be ensured for arbitrary bounded initial states in this study. Finally, the Buck converter circuit is employed to demonstrate the effectiveness of the proposed fault‐tolerant control scheme.