Design and implementation of simple adaptive control schemes on simulated model of CSTR process

Abstract

In this paper, the authors have designed three control schemes for non-linear process. In the first scheme, scheduling variable which causes major shift in the process dynamics has been identified and used to extract PID controller parameters based on artificial intelligence. In the second scheme, model predictive controllers have been designed on the basis of linear state space models and the weighted sum of the output from local MPC controllers has been used to control the non-linear process. In the third scheme, multiple models have been developed at suitable operating points and fused global controller designed from selected operating points control the non-linear process. The proposed control schemes are nothing but an extension of the conventional PID control scheme and model predictive control scheme. The effectiveness of the proposed control schemes has been demonstrated on a CSTR process which exhibits dynamic non-linearity.