Comparative study of Neoteric Adaptive Model Predictive Controller with Model predictive control for temperature Regulation of CSTR

摘要

In this era of speedy industrialization, there is a demand for neoteric strategy for enhanced outcome. This paper describes the appliance of a neoteric Adaptive ModelPredictive Controller that is designed to handle temperature of CSTR (continuous stirred tank reactor) and comparison study of its simulated results with ModelPredictiveController (MPC) simulated results. Continuous Stirred Tank Reactor (CSTR) plays a bigger role in the process and chemical industries. CSTR is dynamically strong non linear plant with various variables like temperature, concentration have to be compelled to be controlled during the industrial process. The adaptive MPC design is based on the model predictive control and by employing adaptation mechanism to model predictive control it converts to adaptive MPC controller. Adaptive MPC has better optimization, performance, constraint handling for non linear dynamic systems than past strategies (i.e. pid, fuzzy, model predictive).