Model Reference Adaptive Control System

MATLAB 1K 251 views 0 downloads 1 credits
Tags:

Resource Overview

The model reference adaptive control system comprises a reference model, controlled plant, controller, and adaptive law. The core of system design involves synthesizing and designing the controller and adaptive mechanism to ensure stable tracking of the reference model's output [2]. Recent years have witnessed significant advancements in adaptive control for time-varying systems. Building upon reference [3], this paper conducts simulation studies on an improved model reference adaptive control scheme for linear time-varying systems, with simulation results demonstrating the feasibility of the control approach. Key implementation considerations include adaptive law formulation using gradient-based algorithms and Lyapunov stability theory for convergence guarantees.

Detailed Documentation

This paper describes a model reference adaptive control system consisting of reference model, controlled plant, controller, and adaptive law components. The fundamental design objective focuses on synthesizing the controller and adaptive mechanism to achieve stable tracking of the reference model's output [2]. Recent research on adaptive control for time-varying systems has shown substantial progress. Based on literature [3], this study proposes an enhanced model reference adaptive control scheme for linear time-varying systems and conducts comprehensive simulation analyses. Implementation typically involves MATLAB/Simulink frameworks where the adaptive law update mechanism can be programmed using recursive least squares or gradient algorithms. The simulation results validate the feasibility of the proposed control strategy, with stability analysis performed through Lyapunov function methods to ensure system convergence.

You May Also Like