Genetic-Algorithm-Based Tuning of PID Controllers for a Multipurpose Water Tank Plant

J. L.F. Bautista Cama, E. O. Jara Alegria, D. Inga Narvaez

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

Abstract

PID controllers for industrial processes have been usually tuned by methods such as Ziegler-Nichols, Cohen-Coon, frequency-based, root-locus-based and many others. Metaheuristic methods including genetic algorithms can optimize parameters to minimize cost functions, thus these techniques can be also used to tune PID controllers. The present study focuses on the design of PID controllers tuned by a simplified genetic algorithm for a multipurpose water tank plant in Peru, in order to optimize the parameters and improve its performance for single-loop and multi-loop control. For this purpose, the experimentally obtained transfer functions of the industrial multi-input multi-output plant are utilized, and a simplified genetic algorithm is proposed. It is demonstrated that in most of the cases, the PID gains obtained by the genetic algorithm compared to pid-tune tool of Matlab is superior according to the performance indexes in flow, pressure, level and temperature loops.

Original languageEnglish
Title of host publicationProceedings of the 2023 IEEE 30th International Conference on Electronics, Electrical Engineering and Computing, INTERCON 2023
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9798350315578
DOIs
StatePublished - 2023
Event30th IEEE International Conference on Electronics, Electrical Engineering and Computing, INTERCON 2023 - Lima, Peru
Duration: 2 Nov 20234 Nov 2023

Publication series

NameProceedings of the 2023 IEEE 30th International Conference on Electronics, Electrical Engineering and Computing, INTERCON 2023

Conference

Conference30th IEEE International Conference on Electronics, Electrical Engineering and Computing, INTERCON 2023
Country/TerritoryPeru
CityLima
Period2/11/234/11/23

Keywords

  • Genetic algorithms
  • PID controller
  • metaheuristics
  • multipurpose plant
  • optimization

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