Comparison of Bioinspired Optimization Techniques for Improving the Performance of Dynamic Sliding Mode Controllers

Jorge Espin, Sebastian Estrada, Diego Benitez, Oscar Camacho

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

Abstract

Bio-inspired optimization algorithms have been shown in recent years to produce optimal solutions to various complex computational issues in science and engineering. This paper presents a comparative examination of bio-inspired algorithms to better understand and measure their efficacy in searching for the best tuning parameters for a Dynamical Sliding Mode Control for integrating systems with an inverse response and dead time. The comparative analysis includes four bioinspired algorithms: particle swarm optimization, artificial bee colony, ant colony optimization, and genetic algorithms, and how they can improve the performance of the controller by searching for optimum tuning parameter solutions. The parameters of each algorithm have different impacts on the searching mechanism and were evaluated in two simulated systems. Ant colony optimization shows a significant capability over other algorithms to find optimal solutions for our problem.

Original languageEnglish
Title of host publication2022 IEEE Colombian Conference on Applications of Computational Intelligence, ColCACI 2022 - Proceedings
EditorsAlvaro David Orjuela-Canon
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781665474702
DOIs
StatePublished - 2022
Event2022 IEEE Colombian Conference on Applications of Computational Intelligence, ColCACI 2022 - Cali, Colombia
Duration: 27 Jul 202229 Jul 2022

Publication series

Name2022 IEEE Colombian Conference on Applications of Computational Intelligence, ColCACI 2022 - Proceedings

Conference

Conference2022 IEEE Colombian Conference on Applications of Computational Intelligence, ColCACI 2022
Country/TerritoryColombia
CityCali
Period27/07/2229/07/22

Keywords

  • Bioinspied optimization algorithms
  • Dynamical Sliding Mode Control
  • dead time
  • integrating systems
  • inverse response

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