Generic Model Controller with Adaptive State Estimation for Nonlinear Cstr

Abstract

A hybrid control scheme consisting of a generic model control (GMC) and a nonlinear adaptive state estimator (ASE) is designed. The ASE estimates the partially known parameters in the presence of process/predictor mismatch, whereas GMC takes care of the nonlinearities and interactions in the nonlinear industrial processes. The developed GMC-ASE controller is implemented in a jacketed continuous stirred-tank reactor (CSTR). The performance of the developed controller is compared with a conventional proportional-integral (PI) controller. It is observed that a GMC-ASE controller shows relatively better performance than the PI controller due to the exponential error convergence capability of the ASE estimator and high quality performance of the GMC controller.