PID-Dahlin Polynomial Speed Controller Optimized by Ant Colony Algorithm on an ARM Platform

Sofía Torres; Miguel Melo; William Montalvo

doi:10.1007/978-3-031-11438-0_16

PID-Dahlin Polynomial Speed Controller Optimized by Ant Colony Algorithm on an ARM Platform

Sofía Torres, Miguel Melo, William Montalvo

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

1 Cita (Scopus)

Resumen

A polynomial PID controller does not have the same transient response as a conventional PID, since it tends to be relatively slower, but at the same time much more stable. To demonstrate the above, this paper proceeds to develop two speed controllers for a permanent magnet DC motor. One is a PID controller with standard structure tuned by Euler using the PID Tuner tool of Matlab, and the other is a polynomial PID controller based on the Dahlin algorithm, which is tuned using Ant Colony Optimization (ACO). The controllers are implemented on a card with Advanced RISC Machine (ARM) technology of the STM32F4-Discovery family, programmed in graphical language using Simulink from Matlab. The performance of the controls is compared using the Wilcoxon statistical method of IBM's Statistical Package for the Social Sciences (SPSS), which determines the best control based on the Integral of Absolute Error (IAE).

Idioma original	Inglés
Título de la publicación alojada	Innovation and Research - A Driving Force for Socio-Econo-Technological Development - Proceedings of the CI3 2021
Editores	Marcelo Zambrano Vizuete, Miguel Botto-Tobar, Angela Diaz Cadena, Benjamin Durakovic
Editorial	Springer Science and Business Media Deutschland GmbH
Páginas	189-202
Número de páginas	14
ISBN (versión impresa)	9783031114373
DOI	https://doi.org/10.1007/978-3-031-11438-0_16
Estado	Publicada - 2022
Evento	2nd International Conference on Research and Innovation, CI3 2021 - Virtual, Online Duración: 1 sep. 2021 → 3 sep. 2021

Serie de la publicación

Nombre	Lecture Notes in Networks and Systems
Volumen	511 LNNS
ISSN (versión impresa)	2367-3370
ISSN (versión digital)	2367-3389

Conferencia

Conferencia	2nd International Conference on Research and Innovation, CI3 2021
Ciudad	Virtual, Online
Período	1/09/21 → 3/09/21

Nota bibliográfica

Publisher Copyright:
© 2022, The Author(s), under exclusive license to Springer Nature Switzerland AG.

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10.1007/978-3-031-11438-0_16

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Torres, S., Melo, M., & Montalvo, W. (2022). PID-Dahlin Polynomial Speed Controller Optimized by Ant Colony Algorithm on an ARM Platform. En M. Zambrano Vizuete, M. Botto-Tobar, A. Diaz Cadena, & B. Durakovic (Eds.), Innovation and Research - A Driving Force for Socio-Econo-Technological Development - Proceedings of the CI3 2021 (pp. 189-202). (Lecture Notes in Networks and Systems; Vol. 511 LNNS). Springer Science and Business Media Deutschland GmbH. https://doi.org/10.1007/978-3-031-11438-0_16

Torres, Sofía ; Melo, Miguel ; Montalvo, William. / PID-Dahlin Polynomial Speed Controller Optimized by Ant Colony Algorithm on an ARM Platform. Innovation and Research - A Driving Force for Socio-Econo-Technological Development - Proceedings of the CI3 2021. editor / Marcelo Zambrano Vizuete ; Miguel Botto-Tobar ; Angela Diaz Cadena ; Benjamin Durakovic. Springer Science and Business Media Deutschland GmbH, 2022. pp. 189-202 (Lecture Notes in Networks and Systems).

@inproceedings{cfa02ccb64ef4e1ba442388ba6f17893,

title = "PID-Dahlin Polynomial Speed Controller Optimized by Ant Colony Algorithm on an ARM Platform",

abstract = "A polynomial PID controller does not have the same transient response as a conventional PID, since it tends to be relatively slower, but at the same time much more stable. To demonstrate the above, this paper proceeds to develop two speed controllers for a permanent magnet DC motor. One is a PID controller with standard structure tuned by Euler using the PID Tuner tool of Matlab, and the other is a polynomial PID controller based on the Dahlin algorithm, which is tuned using Ant Colony Optimization (ACO). The controllers are implemented on a card with Advanced RISC Machine (ARM) technology of the STM32F4-Discovery family, programmed in graphical language using Simulink from Matlab. The performance of the controls is compared using the Wilcoxon statistical method of IBM's Statistical Package for the Social Sciences (SPSS), which determines the best control based on the Integral of Absolute Error (IAE).",

keywords = "Dahlin, Integral Absolute Error (IAE), Proportional Integral Derivative (PID), STM32F4-discovery, Wilcolxon",

author = "Sof{\'i}a Torres and Miguel Melo and William Montalvo",

note = "Publisher Copyright: {\textcopyright} 2022, The Author(s), under exclusive license to Springer Nature Switzerland AG.; 2nd International Conference on Research and Innovation, CI3 2021 ; Conference date: 01-09-2021 Through 03-09-2021",

year = "2022",

doi = "10.1007/978-3-031-11438-0_16",

language = "English",

isbn = "9783031114373",

series = "Lecture Notes in Networks and Systems",

publisher = "Springer Science and Business Media Deutschland GmbH",

pages = "189--202",

editor = "{Zambrano Vizuete}, Marcelo and Miguel Botto-Tobar and {Diaz Cadena}, Angela and Benjamin Durakovic",

booktitle = "Innovation and Research - A Driving Force for Socio-Econo-Technological Development - Proceedings of the CI3 2021",

address = "Germany",

}

Torres, S, Melo, M & Montalvo, W 2022, PID-Dahlin Polynomial Speed Controller Optimized by Ant Colony Algorithm on an ARM Platform. En M Zambrano Vizuete, M Botto-Tobar, A Diaz Cadena & B Durakovic (eds.), Innovation and Research - A Driving Force for Socio-Econo-Technological Development - Proceedings of the CI3 2021. Lecture Notes in Networks and Systems, vol. 511 LNNS, Springer Science and Business Media Deutschland GmbH, pp. 189-202, 2nd International Conference on Research and Innovation, CI3 2021, Virtual, Online, 1/09/21. https://doi.org/10.1007/978-3-031-11438-0_16

PID-Dahlin Polynomial Speed Controller Optimized by Ant Colony Algorithm on an ARM Platform. / Torres, Sofía; Melo, Miguel; Montalvo, William.
Innovation and Research - A Driving Force for Socio-Econo-Technological Development - Proceedings of the CI3 2021. ed. / Marcelo Zambrano Vizuete; Miguel Botto-Tobar; Angela Diaz Cadena; Benjamin Durakovic. Springer Science and Business Media Deutschland GmbH, 2022. p. 189-202 (Lecture Notes in Networks and Systems; Vol. 511 LNNS).

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

TY - GEN

T1 - PID-Dahlin Polynomial Speed Controller Optimized by Ant Colony Algorithm on an ARM Platform

AU - Torres, Sofía

AU - Melo, Miguel

AU - Montalvo, William

PY - 2022

Y1 - 2022

N2 - A polynomial PID controller does not have the same transient response as a conventional PID, since it tends to be relatively slower, but at the same time much more stable. To demonstrate the above, this paper proceeds to develop two speed controllers for a permanent magnet DC motor. One is a PID controller with standard structure tuned by Euler using the PID Tuner tool of Matlab, and the other is a polynomial PID controller based on the Dahlin algorithm, which is tuned using Ant Colony Optimization (ACO). The controllers are implemented on a card with Advanced RISC Machine (ARM) technology of the STM32F4-Discovery family, programmed in graphical language using Simulink from Matlab. The performance of the controls is compared using the Wilcoxon statistical method of IBM's Statistical Package for the Social Sciences (SPSS), which determines the best control based on the Integral of Absolute Error (IAE).

AB - A polynomial PID controller does not have the same transient response as a conventional PID, since it tends to be relatively slower, but at the same time much more stable. To demonstrate the above, this paper proceeds to develop two speed controllers for a permanent magnet DC motor. One is a PID controller with standard structure tuned by Euler using the PID Tuner tool of Matlab, and the other is a polynomial PID controller based on the Dahlin algorithm, which is tuned using Ant Colony Optimization (ACO). The controllers are implemented on a card with Advanced RISC Machine (ARM) technology of the STM32F4-Discovery family, programmed in graphical language using Simulink from Matlab. The performance of the controls is compared using the Wilcoxon statistical method of IBM's Statistical Package for the Social Sciences (SPSS), which determines the best control based on the Integral of Absolute Error (IAE).

KW - Dahlin

KW - Integral Absolute Error (IAE)

KW - Proportional Integral Derivative (PID)

KW - STM32F4-discovery

KW - Wilcolxon

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DO - 10.1007/978-3-031-11438-0_16

M3 - Conference contribution

AN - SCOPUS:85135869485

SN - 9783031114373

T3 - Lecture Notes in Networks and Systems

SP - 189

EP - 202

BT - Innovation and Research - A Driving Force for Socio-Econo-Technological Development - Proceedings of the CI3 2021

A2 - Zambrano Vizuete, Marcelo

A2 - Botto-Tobar, Miguel

A2 - Diaz Cadena, Angela

A2 - Durakovic, Benjamin

PB - Springer Science and Business Media Deutschland GmbH

T2 - 2nd International Conference on Research and Innovation, CI3 2021

Y2 - 1 September 2021 through 3 September 2021

ER -

Torres S, Melo M, Montalvo W. PID-Dahlin Polynomial Speed Controller Optimized by Ant Colony Algorithm on an ARM Platform. En Zambrano Vizuete M, Botto-Tobar M, Diaz Cadena A, Durakovic B, editores, Innovation and Research - A Driving Force for Socio-Econo-Technological Development - Proceedings of the CI3 2021. Springer Science and Business Media Deutschland GmbH. 2022. p. 189-202. (Lecture Notes in Networks and Systems). doi: 10.1007/978-3-031-11438-0_16

PID-Dahlin Polynomial Speed Controller Optimized by Ant Colony Algorithm on an ARM Platform

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