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

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

6 Scopus citations

Abstract

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.

Original languageEnglish
Title of host publication2022 IEEE International Autumn Meeting on Power, Electronics and Computing, ROPEC 2022
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781665458924
DOIs
StatePublished - 2022
Event2022 IEEE International Autumn Meeting on Power, Electronics and Computing, ROPEC 2022 - Ixtapa, Mexico
Duration: 9 Nov 202211 Nov 2022

Publication series

Name2022 IEEE International Autumn Meeting on Power, Electronics and Computing, ROPEC 2022

Conference

Conference2022 IEEE International Autumn Meeting on Power, Electronics and Computing, ROPEC 2022
Country/TerritoryMexico
CityIxtapa
Period9/11/2211/11/22

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 7 - Affordable and Clean Energy
    SDG 7 Affordable and Clean Energy

Keywords

  • Artificial bee colony
  • Non-linear PID
  • Nonlinear
  • Optimization

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