Fault-tolerance control method based on fuzzy logic system

Author

Tong, Shaocheng ; Wang, Yue

Author_Institution

Dept. of Math. & Phys., Liaoning Univ. of Technol., Jinzhou

fYear

2008

fDate

2-4 July 2008

Firstpage

2732

Lastpage

2737

Abstract

A new method of fault detection and fault control is proposed. It bases on the fuzzy logic systems. First, fuzzy logical systems are used to on-line approximate the unknown functions. Second, design a fuzzy observer and define the dead-zone to achieve fault diagnosis. The last, when the fault is detected, an adaptive fault-tolerance control architecture is designed. Meanwhile the system can achieve fault-tolerance control global asymptotic stability is established in the Lyapunov sense. It is proved this algorithm can guarantee the stability of the system and the tracking error convergence to a small neighbor of zero. The simulation results confirm the effectiveness of the proposed approach.

Keywords

Lyapunov methods; adaptive control; asymptotic stability; fault tolerance; fuzzy control; observers; Lyapunov sense; adaptive fault-tolerance control; error convergence; fault detection; fault diagnosis; fuzzy logic system; fuzzy observer; global asymptotic stability; online approximation; unknown functions; Adaptive control; Asymptotic stability; Control systems; Fault detection; Fault diagnosis; Fault tolerance; Fault tolerant systems; Fuzzy logic; Fuzzy systems; Programmable control; Fault Detection; Fault-Tolerance Control; Fuzzy Logic Systems; Stability;

fLanguage

English

Publisher

ieee

Conference_Titel

Control and Decision Conference, 2008. CCDC 2008. Chinese

Conference_Location

Yantai, Shandong

Print_ISBN

978-1-4244-1733-9

Electronic_ISBN

978-1-4244-1734-6

Type

conf

DOI

10.1109/CCDC.2008.4597823

Filename

4597823