Application of Genetic Algorithm in Semi-batch Polymerization Temperature Control

Abstract

A Genetic Algorithm (GA) combined with a two-loop PID-PI control structure is utilized to control the temperature of a semi-batch polymerization reactor (SBPR). The Chylla-Haase benchmark model is considered in this work. The GA-based optimization is exploited in single and multi-objective problems to determine the desired controller setting. The study is conducted in the Matlab/Simulink environment with several simulation scenarios. The obtained results reveal that the GA-based PID-PI technique can provide consistent performance that satisfies the system constraints. Moreover, the proposed algorithm does not contain heavy calculation burdens and can be tuned offline.