Application of Genetic Algorithm in Semi-batch Polymerization Temperature Control

F. A. Thobiani, Esra Elhadad, A. Shamekh, A. Altowati
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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.
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遗传算法在半批量聚合温度控制中的应用
采用遗传算法结合双环PID-PI控制结构对半间歇聚合反应器(SBPR)的温度进行控制。在这项工作中考虑了Chylla-Haase基准模型。将基于遗传算法的优化应用于单目标和多目标问题,以确定理想的控制器设置。本研究是在Matlab/Simulink环境下进行的,有几个仿真场景。结果表明,基于ga的PID-PI技术能够提供满足系统约束的一致性性能。此外,该算法的计算负担较小,可以离线调优。
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