Design and Performance Analysis of Model Reference Adaptive Controller applied to a Dynamical System

With the dynamic variation of operating environments, it is imperative to design and integrate advanced intelligent controllers that cope with unmodelled plant dynamics, parasitic effects, and endogenous/exogenous disturbances to achieve desired outputs. This paper has attempted to design and apply an adaptive controller to unknown dynamical systems and analyse the performances in terms of good tracking and better steady-state accuracy. Model reference adaptive control (MRAC) scheme has been utilized to realize the closed-loop control system. The stability of the developed closed-loop control system has been shown by applying the Lyapunov argument. Analysis of the results affirms the ability of the proposed MRAC in achieving desired outputs for unknown plant models.