Use of Metaheuristics for designing industrial PID controllers in speed control systems

• Lucas L. C. Batista UFPI
• Lucas M. Rufini UFPI
• José M. A. Junior UFPI

DOI: https://doi.org/10.5753/ercemapi.2024.243758

Abstract

Metaheuristics are optimization algorithms able to find suboptimal solutions in a short time, applicable in Power Systems, Communications and Industrial Systems’ Control. This paper presents the performance of the metaheuristics Particle Swarm Optimization (PSO), its accelerated variant (APSO) and Firefly Algorithm (FA) applied to optimize the design of a PID controller in a didactic speed control industrial process. The PID controllers tuned by metaheuristics were compared to classic controllers, and had better results than classic control algorithms.

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