Non-linear PID Controller Optimization using the Artificial Bee Colony Algorithm Applied to a Small-Scale Pasteurization Plant

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Resumen

This paper investigates the performance of the artificial bee colony (ABC) algorithm as an alternative to finding the best optimal gain parameters for a nonlinear proportional-integral-derivative (NLPID) controller applied to the heat control in a nonlinear pasteurization process. Comparisons between a traditional PID and the NLPID optimized by ABC were carried out in terms of setpoint step changes. The experimental results reveal that the ABC-based tuned NLPID controller provides better tracking of the nonlinear dynamical system concerning convergence time, perturbation rejection, and a smoother and shorter duration of the control action. Therefore, these results demonstrate that the ABC algorithm can be used as an alternative to facilitate the tuning of the nonlinear parameters of NLPID controllers.

Idioma originalInglés
Título de la publicación alojada2022 IEEE International Autumn Meeting on Power, Electronics and Computing, ROPEC 2022
EditorialInstitute of Electrical and Electronics Engineers Inc.
ISBN (versión digital)9781665458924
DOI
EstadoPublicada - 2022
Evento2022 IEEE International Autumn Meeting on Power, Electronics and Computing, ROPEC 2022 - Ixtapa, México
Duración: 9 nov. 202211 nov. 2022

Serie de la publicación

Nombre2022 IEEE International Autumn Meeting on Power, Electronics and Computing, ROPEC 2022

Conferencia

Conferencia2022 IEEE International Autumn Meeting on Power, Electronics and Computing, ROPEC 2022
País/TerritorioMéxico
CiudadIxtapa
Período9/11/2211/11/22

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