Hardware in the loop experimental validation of PID controllers tuned by genetic algorithms

L. Angel, J. Viola, M. Vega

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

4 Scopus citations

Abstract

This paper presents the design of a PID controller for the speed control of a motor generator system using genetic algorithms and its practical implementation employing the hardware in the loop control scheme. The genetic algorithm is designed to find the PID controller proportional, integral, and derivate terms to achieve the desired overshoot and settling time of the motor-generator system. The practical implementation of the PID controller is performed with a data acquisition card and the Matlab Stateflow toolbox connected in hardware in the loop configuration. The proposed controller is contrasted with a PID controller tuned by the Internal Model Control technique. A robustness analysis is performed to evaluate the system response in the presence of the external disturbances. Obtained results shown that the PID controller tuned by genetic algorithm has a better response in the presence of external disturbances.

Original languageEnglish
Title of host publication4th IEEE Colombian Conference on Automatic Control
Subtitle of host publicationAutomatic Control as Key Support of Industrial Productivity, CCAC 2019 - Proceedings
EditorsJose Garcia-Tirado, Diego Munoz-Durango, Hernan Alvarez, Hector Botero-Castro
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781538669624
DOIs
StatePublished - Oct 2019
Externally publishedYes
Event4th IEEE Colombian Conference on Automatic Control, CCAC 2019 - Medellin, Colombia
Duration: 15 Oct 201918 Oct 2019

Publication series

Name4th IEEE Colombian Conference on Automatic Control: Automatic Control as Key Support of Industrial Productivity, CCAC 2019 - Proceedings

Conference

Conference4th IEEE Colombian Conference on Automatic Control, CCAC 2019
Country/TerritoryColombia
CityMedellin
Period15/10/1918/10/19

Bibliographical note

Publisher Copyright:
© 2019 IEEE.

Keywords

  • Genetic Algorithm
  • Hardware in the loop
  • IMC
  • Matlab Stateflow
  • Metaheuristic multiobjetive optimization
  • PID controller

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