DocumentCode
2772161
Title
Robust Control for Biped Robot Using Cerebellar Model Articulation Controller
Author
Lin, Chih-Min ; Fan, Wei-Che ; Chen, Chiu-Hsiung ; Hou, Yu-Ling
Author_Institution
Yuan-Ze Univ., Chung-Li
fYear
0
fDate
0-0 0
Firstpage
2485
Lastpage
2490
Abstract
In this paper, a design technique of cerebellar model articulation controller (CMAC)-based fault-tolerant control (FTC) system is investigated to deal with the nonlinear faults of the biped robot. The proposed CMAC-based FTC (CFTC) scheme contains two main components: (1) the online fault estimation module based on a CMAC is used to provide the approximation information for any non-nominal behavior due to the faults of the biped robot; and (2) the controller module consists of a computed torque controller and a robust fault-tolerant controller. In the controller module, the computed torque controller reveals a basic stabilizing controller to stabilize the system and the robust fault-tolerant controller is utilized to compensate for the effects of the system failure so as to achieve the fault accommodation. The adaptive laws of CMAC are rigorously established based on the Lyapunov function so that the stability of the CFTC system can be guaranteed. Finally, simulation results show that the CFTC can apparently recover the control performance for the biped robot in the existence of the nonlinear faults.
Keywords
Lyapunov methods; adaptive control; cerebellar model arithmetic computers; compensation; control system synthesis; fault tolerance; legged locomotion; nonlinear control systems; robust control; torque control; Lyapunov function; adaptive control law; biped robot; cerebellar model articulation controller; compensation; control system design; fault-tolerant control; nonlinear fault; robust control; stabilizing controller; torque controller; Control system synthesis; Control systems; Fault tolerance; Fault tolerant systems; Lyapunov method; Nonlinear control systems; Robots; Robust control; Stability; Torque control;
fLanguage
English
Publisher
ieee
Conference_Titel
Neural Networks, 2006. IJCNN '06. International Joint Conference on
Conference_Location
Vancouver, BC
Print_ISBN
0-7803-9490-9
Type
conf
DOI
10.1109/IJCNN.2006.247098
Filename
1716428
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