A Robust Hybrid Control Approach Tuned by PSO for Long-Time Delay Nonlinear Chemical Processes

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Resumen

This paper proposes a hybrid controller that mixes the Smith Predictor scheme along the sliding mode method and uses particle swarm optimization (PSO) to fine-tune the controller parameters. The proposed approach considers including the Taylor series approximation to put together a dead-time term as the non-invertible part and a gain for the invertible parts; in this way, the controller synthesis is simple. The performance of the designed controller is measured using the error-dependent performance indexes using a nonlinear chemical reactor with long-time delay systems. The results show that the proposed controller tuned using PSO can significantly increase the efficiency of designing robust controllers for nonlinear systems.

Idioma originalInglés
Título de la publicación alojadaApplications of Computational Intelligence - 6th IEEE Colombian Conference, ColCACI 2023, Revised Selected Papers
EditoresAlvaro David Orjuela-Cañón, Jesus A Lopez, Julián David Arias-Londoño
EditorialSpringer Science and Business Media Deutschland GmbH
Páginas57-71
Número de páginas15
ISBN (versión impresa)9783031484148
DOI
EstadoPublicada - 2024
Evento6th IEEE Colombian Conference on Applications of Computational Intelligence, ColCACI 2023 - Bogota, Colombia
Duración: 26 jul. 202328 jul. 2023

Serie de la publicación

NombreCommunications in Computer and Information Science
Volumen1865 CCIS
ISSN (versión impresa)1865-0929
ISSN (versión digital)1865-0937

Conferencia

Conferencia6th IEEE Colombian Conference on Applications of Computational Intelligence, ColCACI 2023
País/TerritorioColombia
CiudadBogota
Período26/07/2328/07/23

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