A Stochastic Optimisation Technique for Tuning a Continuous Stirred Tank Reactor Controllers

Abstract

A continuous stirred tank reactor mathematical model is developed based on the mass and energy balances for the reactor and heating system. A step change of the concentration is introduced and the temperature change in the reactor is measured. The objective of this paper is to comparatively study the application of PID, Generic Model Control, and Fuzzy logic controllers on the system and evaluate their performances according to the Integral of absolute error resulted. A simulated annealing algorithm is used to tune the controller’s parameters. The control and simulation study has been implemented using MATLAB/SIMULINK.