Artificial Firefly Meta-heuristic Used for the Optimization of a Fractional PID on an ARM Platform

William Montalvo; Roger Catota Ñacata; Sebastián Layedra Guayta

doi:10.1007/978-3-031-25942-5_2

Artificial Firefly Meta-heuristic Used for the Optimization of a Fractional PID on an ARM Platform

William Montalvo, Roger Catota Ñacata, Sebastián Layedra Guayta

Research Group in Electronics Control and Automation (GIECA)

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

Abstract

Nowadays, DC motors are very useful in the industry, and their easy control is one of the reasons. Over time, different control techniques have been implemented to improve the performance of these machines. In the present study, a Fractional Order Proportional Integral Derivative controller (FOPID) is developed, which presents better results in the face of disturbances or changes in the set point than a conventional Proportional Integral and Derivative (PID) controller. Since it is a more complex controller, one of its problems is the tuning of its parameters. For this purpose, artificial intelligence techniques such as metaheuristics can be used, among which one that has not been explored in depth is the Artificial Firefly (AF) algorithm, which uses a Cost Function (CF) that adjusts the optimization based on a performance index, such as the Integral Time Absolute Error (ITAE). The hardware used for the control is an STM32F4 embedded board (with Advanced RISC Machine - ARM technology). A Control Plant Trainer (CPT) containing all the instrumentation for the actual tests is used as the plant. The performance of the FOPID - FA is compared with a conventionally tuned FOPID, using the Wilcoxon statistical method, yielding interesting results from the control point of view.

Original language	English
Title of host publication	Trends in Artificial Intelligence and Computer Engineering - Proceedings of ICAETT 2022
Editors	Miguel Botto-Tobar, Omar S. Gómez, Raul Rosero Miranda, Washington Luna-Encalada, Angela Díaz Cadena
Publisher	Springer Science and Business Media Deutschland GmbH
Pages	16-27
Number of pages	12
ISBN (Print)	9783031259418
DOIs	https://doi.org/10.1007/978-3-031-25942-5_2
State	Published - 2023
Event	4th International Conference on Advances in Emerging Trends and Technologies, ICAETT 2022 - Riobamba, Ecuador Duration: 26 Oct 2022 → 28 Oct 2022

Publication series

Name	Lecture Notes in Networks and Systems
Volume	619 LNNS
ISSN (Print)	2367-3370
ISSN (Electronic)	2367-3389

Conference

Conference	4th International Conference on Advances in Emerging Trends and Technologies, ICAETT 2022
Country/Territory	Ecuador
City	Riobamba
Period	26/10/22 → 28/10/22

Bibliographical note

Publisher Copyright:
© 2023, The Author(s), under exclusive license to Springer Nature Switzerland AG.

Keywords

Firefly Algorithm - FA
FOPID
ITAE
Wilcoxon

Access to Document

10.1007/978-3-031-25942-5_2

Cite this

Montalvo, W., Ñacata, R. C., & Layedra Guayta, S. (2023). Artificial Firefly Meta-heuristic Used for the Optimization of a Fractional PID on an ARM Platform. In M. Botto-Tobar, O. S. Gómez, R. Rosero Miranda, W. Luna-Encalada, & A. Díaz Cadena (Eds.), Trends in Artificial Intelligence and Computer Engineering - Proceedings of ICAETT 2022 (pp. 16-27). (Lecture Notes in Networks and Systems; Vol. 619 LNNS). Springer Science and Business Media Deutschland GmbH. https://doi.org/10.1007/978-3-031-25942-5_2

Montalvo, William ; Ñacata, Roger Catota ; Layedra Guayta, Sebastián. / Artificial Firefly Meta-heuristic Used for the Optimization of a Fractional PID on an ARM Platform. Trends in Artificial Intelligence and Computer Engineering - Proceedings of ICAETT 2022. editor / Miguel Botto-Tobar ; Omar S. Gómez ; Raul Rosero Miranda ; Washington Luna-Encalada ; Angela Díaz Cadena. Springer Science and Business Media Deutschland GmbH, 2023. pp. 16-27 (Lecture Notes in Networks and Systems).

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abstract = "Nowadays, DC motors are very useful in the industry, and their easy control is one of the reasons. Over time, different control techniques have been implemented to improve the performance of these machines. In the present study, a Fractional Order Proportional Integral Derivative controller (FOPID) is developed, which presents better results in the face of disturbances or changes in the set point than a conventional Proportional Integral and Derivative (PID) controller. Since it is a more complex controller, one of its problems is the tuning of its parameters. For this purpose, artificial intelligence techniques such as metaheuristics can be used, among which one that has not been explored in depth is the Artificial Firefly (AF) algorithm, which uses a Cost Function (CF) that adjusts the optimization based on a performance index, such as the Integral Time Absolute Error (ITAE). The hardware used for the control is an STM32F4 embedded board (with Advanced RISC Machine - ARM technology). A Control Plant Trainer (CPT) containing all the instrumentation for the actual tests is used as the plant. The performance of the FOPID - FA is compared with a conventionally tuned FOPID, using the Wilcoxon statistical method, yielding interesting results from the control point of view.",

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Montalvo, W, Ñacata, RC & Layedra Guayta, S 2023, Artificial Firefly Meta-heuristic Used for the Optimization of a Fractional PID on an ARM Platform. in M Botto-Tobar, OS Gómez, R Rosero Miranda, W Luna-Encalada & A Díaz Cadena (eds), Trends in Artificial Intelligence and Computer Engineering - Proceedings of ICAETT 2022. Lecture Notes in Networks and Systems, vol. 619 LNNS, Springer Science and Business Media Deutschland GmbH, pp. 16-27, 4th International Conference on Advances in Emerging Trends and Technologies, ICAETT 2022, Riobamba, Ecuador, 26/10/22. https://doi.org/10.1007/978-3-031-25942-5_2

Artificial Firefly Meta-heuristic Used for the Optimization of a Fractional PID on an ARM Platform. / Montalvo, William; Ñacata, Roger Catota; Layedra Guayta, Sebastián.
Trends in Artificial Intelligence and Computer Engineering - Proceedings of ICAETT 2022. ed. / Miguel Botto-Tobar; Omar S. Gómez; Raul Rosero Miranda; Washington Luna-Encalada; Angela Díaz Cadena. Springer Science and Business Media Deutschland GmbH, 2023. p. 16-27 (Lecture Notes in Networks and Systems; Vol. 619 LNNS).

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

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PY - 2023

Y1 - 2023

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Montalvo W, Ñacata RC, Layedra Guayta S. Artificial Firefly Meta-heuristic Used for the Optimization of a Fractional PID on an ARM Platform. In Botto-Tobar M, Gómez OS, Rosero Miranda R, Luna-Encalada W, Díaz Cadena A, editors, Trends in Artificial Intelligence and Computer Engineering - Proceedings of ICAETT 2022. Springer Science and Business Media Deutschland GmbH. 2023. p. 16-27. (Lecture Notes in Networks and Systems). doi: 10.1007/978-3-031-25942-5_2

Artificial Firefly Meta-heuristic Used for the Optimization of a Fractional PID on an ARM Platform

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Keywords

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