DocumentCode
550441
Title
Support vector machine observer based fault detection for reconfigurable manipulators
Author
Zhao Bo ; Dong Bo ; Li Yuanchun
Author_Institution
State Key Lab. of Automobile Dynamic Simulation, Jilin Univ., Changchun, China
fYear
2011
fDate
22-24 July 2011
Firstpage
3979
Lastpage
3984
Abstract
A novel fault detection scheme for reconfigurable manipulators actuators based on support vector machine(SVM) observer which has good ability to estimate any functions is proposed to estimate the unknown term and uncertainty term. The reconfigurable manipulators system is fault-free when the error between true value and predict value is less than the given threshold, otherwise, the system is in failure. Then the fuzzy logic systems are proposed for approximating the interconnection term by using adaptive algorithm. Based on Lyapunov stability theorem, the system stability can be verified. And the simulation results illustrate the effectiveness of the proposed fault detection schemes.
Keywords
Lyapunov methods; actuators; adaptive control; fuzzy control; fuzzy logic; manipulators; stability; support vector machines; Lyapunov stability theorem; adaptive algorithm; fault detection; fault-free; fuzzy logic systems; reconfigurable manipulators actuators; support vector machine observer; system stability; Bismuth; Fault detection; Joints; Manipulators; Mathematical model; Observers; Support vector machines; Fault Detection; Reconfigurable Manipulators; SVM observer;
fLanguage
English
Publisher
ieee
Conference_Titel
Control Conference (CCC), 2011 30th Chinese
Conference_Location
Yantai
ISSN
1934-1768
Print_ISBN
978-1-4577-0677-6
Electronic_ISBN
1934-1768
Type
conf
Filename
6000779
Link To Document