DocumentCode
577098
Title
Fault detection of nonlinear systems by parity relations
Author
Ghaniee, Majid ; Shoorehdeli, Mahdi Aliyari
Author_Institution
Dept. of Electr. & Comput. Eng., K.N. Toosi Univ. of Technol., Tehran, Iran
fYear
2011
fDate
27-29 Dec. 2011
Firstpage
519
Lastpage
523
Abstract
Recently a lot of works have been done to detect faults in nonlinear systems. In this paper a new method, based on parity relations for linear systems, is proposed to detect faults in nonlinear systems that can be modeled by Takagi-Sugeno (T.S) fuzzy system. This method is an intuitive generalization of parity relations, because T.S fuzzy system uses local linear models. Results of simulation and implementation on a rotary inverted pendulum show that faults can be detected very well.
Keywords
fault diagnosis; fuzzy control; nonlinear control systems; pendulums; TS fuzzy system; Takagi-Sugeno fuzzy system; fault detection; intuitive generalization; local linear models; nonlinear systems; parity relations; rotary inverted pendulum; Fault detection; Fuzzy systems; Linear systems; Mathematical model; Nonlinear systems; Robustness; Vectors;
fLanguage
English
Publisher
ieee
Conference_Titel
Control, Instrumentation and Automation (ICCIA), 2011 2nd International Conference on
Conference_Location
Shiraz
Print_ISBN
978-1-4673-1689-7
Type
conf
DOI
10.1109/ICCIAutom.2011.6356712
Filename
6356712
Link To Document