OPTIMAL MODEL REFERENCE ADAPTIVE CONTROLLERS FOR SYSTEMS WITH INPUT NONLINEARITY
Chih-Chiang Cheng1, Chiu-Ju Teng
Department of Electrical Engineering, National Sun Yat-Sen University, No. 70, Lien-Hai Road, Kaohsiung, 804, Taiwan, Republic of China
Based on the Lyapunov stability theorem, an optimal model reference adaptive control (OMRAC) scheme designed for a class of multi-input (MI) systems with input non-linearity for solving robust tracking problems is presented in this paper. The proposed control scheme contains an optimal controller designed for nominal systems, and an adaptive mechanism used to automatically adapt the unknown upper bound of perturbation. The asymptotical stability of tracking error is guaranteed for the controlled system. A numerical example is given for demonstrating the feasibility of the proposed control scheme.
Keywords: model reference, adaptive control, tracking control, Lyapunov theorem
Session slot T-Th-E16: Design of Adaptive and Learning Controllers/Area code 2a : Control Design

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