Abstract:

Abstract PID controllers are most extensively employed in the process industry today, despite their age. The advantages of PID controllers are their straightforward design, excellent stability, and greater amount of dependability. The precise and reliable tuning of variables is an essential facet of PID controllers. Throughout this regard, genetic algorithms were used to tune the parameters in PID controllers. A methodical approach of multi-loop PID control over multivariable operations that concurrently achieve specific goals is now a hard process. For multi-loop PID controllers, this paper presents a novel hybridized modified firefly-chaos algorithm (HMFCA). Using the typical behavior of firefly flashing properties, the firefly algorithm is indeed a metaheuristic optimization technique. A multi-loop multivariable PID architecture for such an industrial-scale polymerization reactor is used to evaluate the efficiency of the suggested PID control architecture. An appropriate set of PID parameters could be determined using the suggested HMFCA, according to simulated data. A comparative analysis of existing PID controller tuning algorithms with the HMFCA algorithm is also shown and addressed in the paper.

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