Model Reference Adaptive Control Based on Lyapunov Stability Theory
Abstract
According to the obvious characteristics of time-varying nonlinear controlled object, in order to improve the control performance, can use appropriate adaptive control strategy. Based on the research object system of a certain amount of input to control variables, according to Lyapunov stability theory, the research object system input/output variable a model reference adaptive control system was design. And after analysis the method to improve the system starting stage characteristics, dynamic process performance and system anti-interference and resistance to process parameters is presented. Simulation and research results show that the proposed control method is effective
Keywords
intelligence control, model reference adaptive control, Lyapunov, stability theory
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