Experimental Evaluation and Implementation of Adaptive Fuzzy Controller for SISO Nonlinear System

Abstract

Abstract-In this paper design method for adaptive fuzzy controller is proposed and it is applied to the non-linear system called CSTR. The control objective is to implement output tracking control on nonlinear systems. Fuzzy logic system is introduced to estimate the unknown nonlinearity. By using fuzzy rules, estimation error and external disturbances are well handled. This gives us a guarantee of the stability when we track the control process. The control gain estimation is obtained by fuzzy logic system. Later Lyapunov stability analysis is performed and evaluated. To validate the proposed control scheme we apply it to continuous stirred tank reactor. The gains for PID controller are estimated from fuzzy logic system. The simulation exhibits satisfactory results, in which temperature is controlled.