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

Kleber Patino; Danilo Chavez; Oscar Camacho

doi:10.1109/CCAC.2019.8921192

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

Kleber Patino, Danilo Chavez, Oscar Camacho

Escuela Politecnica Nacional

Producción científica: Capítulo del libro/informe/acta de congreso › Contribución a la conferencia › revisión exhaustiva

Resumen

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.

Idioma original	Inglés
Título de la publicación alojada	4th IEEE Colombian Conference on Automatic Control
Subtítulo de la publicación alojada	Automatic Control as Key Support of Industrial Productivity, CCAC 2019 - Proceedings
Editores	Jose Garcia-Tirado, Diego Munoz-Durango, Hernan Alvarez, Hector Botero-Castro
Editorial	Institute of Electrical and Electronics Engineers Inc.
ISBN (versión digital)	9781538669624
DOI	https://doi.org/10.1109/CCAC.2019.8921192
Estado	Publicada - oct. 2019
Publicado de forma externa	Sí
Evento	4th IEEE Colombian Conference on Automatic Control, CCAC 2019 - Medellin, Colombia Duración: 15 oct. 2019 → 18 oct. 2019

Serie de la publicación

Nombre	4th IEEE Colombian Conference on Automatic Control: Automatic Control as Key Support of Industrial Productivity, CCAC 2019 - Proceedings

Conferencia

Conferencia	4th IEEE Colombian Conference on Automatic Control, CCAC 2019
País/Territorio	Colombia
Ciudad	Medellin
Período	15/10/19 → 18/10/19

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10.1109/CCAC.2019.8921192

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Patino, K., Chavez, D., & Camacho, O. (2019). Application of particle swarm optimization for tuning a dynamic sliding mode control for system with inverse response. En J. Garcia-Tirado, D. Munoz-Durango, H. Alvarez, & H. Botero-Castro (Eds.), 4th IEEE Colombian Conference on Automatic Control: Automatic Control as Key Support of Industrial Productivity, CCAC 2019 - Proceedings Artículo 8921192 (4th IEEE Colombian Conference on Automatic Control: Automatic Control as Key Support of Industrial Productivity, CCAC 2019 - Proceedings). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/CCAC.2019.8921192

Patino, Kleber ; Chavez, Danilo ; Camacho, Oscar. / Application of particle swarm optimization for tuning a dynamic sliding mode control for system with inverse response. 4th IEEE Colombian Conference on Automatic Control: Automatic Control as Key Support of Industrial Productivity, CCAC 2019 - Proceedings. editor / Jose Garcia-Tirado ; Diego Munoz-Durango ; Hernan Alvarez ; Hector Botero-Castro. Institute of Electrical and Electronics Engineers Inc., 2019. (4th IEEE Colombian Conference on Automatic Control: Automatic Control as Key Support of Industrial Productivity, CCAC 2019 - Proceedings).

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

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.",

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author = "Kleber Patino and Danilo Chavez and Oscar Camacho",

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Patino, K, Chavez, D & Camacho, O 2019, Application of particle swarm optimization for tuning a dynamic sliding mode control for system with inverse response. En J Garcia-Tirado, D Munoz-Durango, H Alvarez & H Botero-Castro (eds.), 4th IEEE Colombian Conference on Automatic Control: Automatic Control as Key Support of Industrial Productivity, CCAC 2019 - Proceedings., 8921192, 4th IEEE Colombian Conference on Automatic Control: Automatic Control as Key Support of Industrial Productivity, CCAC 2019 - Proceedings, Institute of Electrical and Electronics Engineers Inc., 4th IEEE Colombian Conference on Automatic Control, CCAC 2019, Medellin, Colombia, 15/10/19. https://doi.org/10.1109/CCAC.2019.8921192

Application of particle swarm optimization for tuning a dynamic sliding mode control for system with inverse response. / Patino, Kleber; Chavez, Danilo; Camacho, Oscar.
4th IEEE Colombian Conference on Automatic Control: Automatic Control as Key Support of Industrial Productivity, CCAC 2019 - Proceedings. ed. / Jose Garcia-Tirado; Diego Munoz-Durango; Hernan Alvarez; Hector Botero-Castro. Institute of Electrical and Electronics Engineers Inc., 2019. 8921192 (4th IEEE Colombian Conference on Automatic Control: Automatic Control as Key Support of Industrial Productivity, CCAC 2019 - Proceedings).

Producción científica: Capítulo del libro/informe/acta de congreso › Contribución a la conferencia › revisión exhaustiva

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T1 - Application of particle swarm optimization for tuning a dynamic sliding mode control for system with inverse response

AU - Patino, Kleber

AU - Chavez, Danilo

AU - Camacho, Oscar

PY - 2019/10

Y1 - 2019/10

N2 - 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.

AB - 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.

KW - Compensator Linoya

KW - DSMC

KW - Inverse Response

KW - PSO

KW - Tuning controller

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M3 - Contribución a la conferencia

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A2 - Garcia-Tirado, Jose

A2 - Munoz-Durango, Diego

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A2 - Botero-Castro, Hector

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Patino K, Chavez D, Camacho O. Application of particle swarm optimization for tuning a dynamic sliding mode control for system with inverse response. En Garcia-Tirado J, Munoz-Durango D, Alvarez H, Botero-Castro H, editores, 4th IEEE Colombian Conference on Automatic Control: Automatic Control as Key Support of Industrial Productivity, CCAC 2019 - Proceedings. Institute of Electrical and Electronics Engineers Inc. 2019. 8921192. (4th IEEE Colombian Conference on Automatic Control: Automatic Control as Key Support of Industrial Productivity, CCAC 2019 - Proceedings). doi: 10.1109/CCAC.2019.8921192

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

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