Title :
CMAC based control of nonlinear mechanical system
Author :
Koo, Keun-Mo ; Kim, Jong-Hwan
Author_Institution :
LG Electron. Res. Center, Seoul, South Korea
Abstract :
This paper proposes a novel cerebellar model articulation controller (CMAC) based controller design method for nonlinear mechanical systems. CMAC is employed to approximate and compensate the uncertainties induced by inaccurate modelling of the system to be controlled. A mathematical model of CMAC in which the adjustable parameters appear linearly is derived and the stability of the overall system is proved using the Lyapunov theory. The authors also extend the proposed scheme to obtain robustness under the bounded disturbances and the approximation error of the CMAC. Although the control problem of a simple nonlinear system is considered in this work, the proposed scheme can easily be extended to more general nonlinear systems
Keywords :
Lyapunov methods; cerebellar model arithmetic computers; control system analysis computing; control system synthesis; model reference adaptive control systems; neurocontrollers; nonlinear control systems; robust control; stability; Lyapunov theory; adjustable parameters; approximation error; bounded disturbances; cerebellar model articulation controller; control design; control simulation; mathematical model; nonlinear mechanical system; robustness; uncertainties; Control system synthesis; Control systems; Design methodology; Mathematical model; Mechanical systems; Nonlinear control systems; Nonlinear systems; Robustness; Stability; Uncertainty;
Conference_Titel :
Industrial Electronics, Control, and Instrumentation, 1996., Proceedings of the 1996 IEEE IECON 22nd International Conference on
Conference_Location :
Taipei
Print_ISBN :
0-7803-2775-6
DOI :
10.1109/IECON.1996.570774