Hybrid control for MIMO nonlinear system using RCMAC

Author

Lin, Chih-Min ; Chen, Li-Yang ; Chen, Chiu-Hsiung ; Chen, Te-Yu

Author_Institution

Dept. of Electr. Eng., Yuan Ze Univ., Chung-Li

fYear

0

fDate

0-0 0

Firstpage

587

Lastpage

592

Abstract

A hybrid control system, using a recurrent cerebellar model articulation controller (RCMAC) and based on sliding mode technique, is developed for multiple-input-multiple-output (MIMO) uncertain nonlinear systems. The proposed control system is comprised of a principal controller and a compensation controller. The principal controller containing an RCMAC uncertainty observer is the main controller, and the compensation controller is a compensator for the approximation error of the system uncertainty. The on-line adaptive laws of the control system are derived based on the Lyapunov stability theorem, so that the stability of the system can be guaranteed. Finally, the proposed design method is applied to a biped robot control. Simulation results demonstrate the effectiveness of the proposed control scheme for the MIMO uncertain nonlinear systems

Keywords

Lyapunov methods; MIMO systems; cerebellar model arithmetic computers; legged locomotion; neurocontrollers; nonlinear control systems; observers; recurrent neural nets; stability; uncertain systems; variable structure systems; Lyapunov stability; MIMO nonlinear system; biped robot control; hybrid control; multiple-input-multiple-output uncertain nonlinear systems; recurrent cerebellar model articulation control; sliding mode technique; uncertainty observer; Adaptive control; Approximation error; Control system synthesis; Control systems; MIMO; Nonlinear control systems; Nonlinear systems; Programmable control; Sliding mode control; Uncertainty;

fLanguage

English

Publisher

ieee

Conference_Titel

Robotics and Biomimetics (ROBIO). 2005 IEEE International Conference on

Conference_Location

Shatin

Print_ISBN

0-7803-9315-5

Type

conf

DOI

10.1109/ROBIO.2005.246334

Filename

1708812