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

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

1 Scopus citations

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).

Original language	English
Title of host publication	Innovation and Research - A Driving Force for Socio-Econo-Technological Development - Proceedings of the CI3 2021
Editors	Marcelo Zambrano Vizuete, Miguel Botto-Tobar, Angela Diaz Cadena, Benjamin Durakovic
Publisher	Springer Science and Business Media Deutschland GmbH
Pages	189-202
Number of pages	14
ISBN (Print)	9783031114373
DOIs	https://doi.org/10.1007/978-3-031-11438-0_16
State	Published - 2022
Event	2nd International Conference on Research and Innovation, CI3 2021 - Virtual, Online Duration: 1 Sep 2021 → 3 Sep 2021

Publication series

Name	Lecture Notes in Networks and Systems
Volume	511 LNNS
ISSN (Print)	2367-3370
ISSN (Electronic)	2367-3389

Conference

Conference	2nd International Conference on Research and Innovation, CI3 2021
City	Virtual, Online
Period	1/09/21 → 3/09/21

Bibliographical note

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

Keywords

Dahlin
Integral Absolute Error (IAE)
Proportional Integral Derivative (PID)
STM32F4-discovery
Wilcolxon

Access to Document

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

Cite this

Torres, S., Melo, M., & Montalvo, W. (2022). PID-Dahlin Polynomial Speed Controller Optimized by Ant Colony Algorithm on an ARM Platform. In 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).

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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).",

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

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year = "2022",

doi = "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. in 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).

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

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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).

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Torres S, Melo M, Montalvo W. PID-Dahlin Polynomial Speed Controller Optimized by Ant Colony Algorithm on an ARM Platform. In Zambrano Vizuete M, Botto-Tobar M, Diaz Cadena A, Durakovic B, editors, 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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