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
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;
Conference_Titel :
Control Conference (CCC), 2011 30th Chinese
Conference_Location :
Yantai
Print_ISBN :
978-1-4577-0677-6
Electronic_ISBN :
1934-1768