Open AccessFault diagnosis and fault tolerant control scheme for a class of non‐linear singular systems
Author(s) -
Yao Lina,
Cocquempot Vincent,
Wang Hong
Publication year - 2015
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.2013.1017
Subject(s) - control theory (sociology) , fault (geology) , lyapunov stability , linear system , fault tolerance , controller (irrigation) , computer science , process (computing) , stability (learning theory) , lyapunov function , scheme (mathematics) , class (philosophy) , fault detection and isolation , control engineering , actuator , control (management) , mathematics , nonlinear system , engineering , artificial intelligence , machine learning , mathematical analysis , distributed computing , seismology , geology , physics , quantum mechanics , agronomy , biology , operating system
A new fault detection and diagnosis method is developed in this study for a class of singular non‐linear systems via the use of observers with adaptive updating rules. The Lyapunov stability theory is applied to obtain a stable observation error system and to obtain the required adaptive tuning rules for the estimation of the process faults. Based on the fault estimation information, the controller is reconfigured to keep the post‐fault system stable, leading to the active fault tolerant control of the non‐linear singular system. A simulated numerical example is included to demonstrate the effectiveness of the proposed approach.