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

Marco Herrera; Diego S. Benıtez; Noel Pérez-Pérez; Antonio Di Teodoro; Oscar Camacho

doi:10.1007/978-3-031-48415-5_5

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

Marco Herrera, Diego S. Benıtez, Noel Pérez-Pérez, Antonio Di Teodoro, Oscar Camacho

Universidad San Francisco de Quito

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-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 (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.

Original language	English
Title of host publication	Applications of Computational Intelligence - 6th IEEE Colombian Conference, ColCACI 2023, Revised Selected Papers
Editors	Alvaro David Orjuela-Cañón, Jesus A Lopez, Julián David Arias-Londoño
Publisher	Springer Science and Business Media Deutschland GmbH
Pages	57-71
Number of pages	15
ISBN (Print)	9783031484148
DOIs	https://doi.org/10.1007/978-3-031-48415-5_5
State	Published - 2024
Event	6th IEEE Colombian Conference on Applications of Computational Intelligence, ColCACI 2023 - Bogota, Colombia Duration: 26 Jul 2023 → 28 Jul 2023

Publication series

Name	Communications in Computer and Information Science
Volume	1865 CCIS
ISSN (Print)	1865-0929
ISSN (Electronic)	1865-0937

Conference

Conference	6th IEEE Colombian Conference on Applications of Computational Intelligence, ColCACI 2023
Country/Territory	Colombia
City	Bogota
Period	26/07/23 → 28/07/23

Access to Document

10.1007/978-3-031-48415-5_5

Cite this

Herrera, M., Benıtez, D. S., Pérez-Pérez, N., Di Teodoro, A., & Camacho, O. (2024). A Robust Hybrid Control Approach Tuned by PSO for Long-Time Delay Nonlinear Chemical Processes. In A. D. Orjuela-Cañón, J. A. Lopez, & J. D. Arias-Londoño (Eds.), Applications of Computational Intelligence - 6th IEEE Colombian Conference, ColCACI 2023, Revised Selected Papers (pp. 57-71). (Communications in Computer and Information Science; Vol. 1865 CCIS). Springer Science and Business Media Deutschland GmbH. https://doi.org/10.1007/978-3-031-48415-5_5

Herrera, Marco ; Benıtez, Diego S. ; Pérez-Pérez, Noel et al. / A Robust Hybrid Control Approach Tuned by PSO for Long-Time Delay Nonlinear Chemical Processes. Applications of Computational Intelligence - 6th IEEE Colombian Conference, ColCACI 2023, Revised Selected Papers. editor / Alvaro David Orjuela-Cañón ; Jesus A Lopez ; Julián David Arias-Londoño. Springer Science and Business Media Deutschland GmbH, 2024. pp. 57-71 (Communications in Computer and Information Science).

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abstract = "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.",

author = "Marco Herrera and Benıtez, {Diego S.} and Noel P{\'e}rez-P{\'e}rez and {Di Teodoro}, Antonio and Oscar Camacho",

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Herrera, M, Benıtez, DS , Pérez-Pérez, N , Di Teodoro, A & Camacho, O 2024, A Robust Hybrid Control Approach Tuned by PSO for Long-Time Delay Nonlinear Chemical Processes. in AD Orjuela-Cañón, JA Lopez & JD Arias-Londoño (eds), Applications of Computational Intelligence - 6th IEEE Colombian Conference, ColCACI 2023, Revised Selected Papers. Communications in Computer and Information Science, vol. 1865 CCIS, Springer Science and Business Media Deutschland GmbH, pp. 57-71, 6th IEEE Colombian Conference on Applications of Computational Intelligence, ColCACI 2023, Bogota, Colombia, 26/07/23. https://doi.org/10.1007/978-3-031-48415-5_5

A Robust Hybrid Control Approach Tuned by PSO for Long-Time Delay Nonlinear Chemical Processes. / Herrera, Marco; Benıtez, Diego S.; Pérez-Pérez, Noel et al.
Applications of Computational Intelligence - 6th IEEE Colombian Conference, ColCACI 2023, Revised Selected Papers. ed. / Alvaro David Orjuela-Cañón; Jesus A Lopez; Julián David Arias-Londoño. Springer Science and Business Media Deutschland GmbH, 2024. p. 57-71 (Communications in Computer and Information Science; Vol. 1865 CCIS).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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AU - Di Teodoro, Antonio

AU - Camacho, Oscar

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N2 - 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.

AB - 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.

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BT - Applications of Computational Intelligence - 6th IEEE Colombian Conference, ColCACI 2023, Revised Selected Papers

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Herrera M, Benıtez DS , Pérez-Pérez N , Di Teodoro A , Camacho O. A Robust Hybrid Control Approach Tuned by PSO for Long-Time Delay Nonlinear Chemical Processes. In Orjuela-Cañón AD, Lopez JA, Arias-Londoño JD, editors, Applications of Computational Intelligence - 6th IEEE Colombian Conference, ColCACI 2023, Revised Selected Papers. Springer Science and Business Media Deutschland GmbH. 2024. p. 57-71. (Communications in Computer and Information Science). doi: 10.1007/978-3-031-48415-5_5