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A Novel Hybrid Control Approach with PSO Optimization for Processes with Long Time-Delay

  • Universidad San Francisco de Quito

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

2 Scopus citations

Abstract

This paper proposes a hybrid controller that mixes the Smith Predictor scheme along the sliding-mode method and uses particle swarm optimization to fine-Tune the parameters for the controller. The proposed controller is based on the first-order plus dead-Time model to put together a dead-Time term as the non-invertible part and a gain for the invertible part; in this way, the controller synthesis is too easy. The performance of the designed controller is measured using the ISE, IAE, and TVu indices. The results show that the proposed controller can significantly increase the efficiency of designing robust controllers for high-order and inverse response linear systems.

Original languageEnglish
Title of host publication2023 IEEE Colombian Conference on Applications of Computational Intelligence, ColCACI 2023 - Proceedings
EditorsAlvaro David Orjuela-Canon
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9798350316599
DOIs
StatePublished - 26 Jul 2023
Event2023 IEEE Colombian Conference on Applications of Computational Intelligence, ColCACI 2023 - Bogota, Colombia
Duration: 26 Jul 202328 Jul 2023

Publication series

Name2023 IEEE Colombian Conference on Applications of Computational Intelligence (ColCACI)

Conference

Conference2023 IEEE Colombian Conference on Applications of Computational Intelligence, ColCACI 2023
Country/TerritoryColombia
CityBogota
Period26/07/2328/07/23

Keywords

  • Hybrid Control
  • Long Delay Processes
  • Particle Swarm Optimization

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