Application of particle swarm optimization for tuning a dynamic sliding mode control for system with inverse response

Kleber Patino, Danilo Chavez, Oscar Camacho

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

Abstract

In this article an application of the algorithm of optimization based on swarm of particles (PSO) developed in [1] is presented, the same one that is based on the qualities of the system to have an optimal solution. Under this criterion is use for the tuning of a dynamic controller by sliding modes (DSMC), taking as a minimization function the ISE index, there will also be a comparison between the results obtained in [2] using a heuristic method tuning and the obtained in this article, for the case study we will have the control of concentration in the reactor CSTR.

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

Keywords

  • Compensator Linoya
  • DSMC
  • Inverse Response
  • PSO
  • Tuning controller

Fingerprint

Dive into the research topics of 'Application of particle swarm optimization for tuning a dynamic sliding mode control for system with inverse response'. Together they form a unique fingerprint.

Cite this