Standard
The Use of Genetic Algorithm for PID Controller Auto-Tuning in ARM CORTEX M4 Platform. / Teixeira, Daniel Pinheiro; Do Carmo, Marlon Jose; Santos, Murillo Ferreira et al.
Proceedings of the 2023 24th International Carpathian Control Conference, ICCC 2023. ed. / Daniel Drotos; Rabab Benotsmane; Attila Karoly Varga; Attila Trohak; Jozsef Vasarhelyi. Institute of Electrical and Electronics Engineers Inc., 2023. p. 331-336 (Proceedings of the 2023 24th International Carpathian Control Conference, ICCC 2023).
Research output: Contributions to collected editions/works › Article in conference proceedings › Research › peer-review
Harvard
Teixeira, DP, Do Carmo, MJ, Santos, MF
& Mercorelli, P 2023,
The Use of Genetic Algorithm for PID Controller Auto-Tuning in ARM CORTEX M4 Platform. in D Drotos, R Benotsmane, AK Varga, A Trohak & J Vasarhelyi (eds),
Proceedings of the 2023 24th International Carpathian Control Conference, ICCC 2023. Proceedings of the 2023 24th International Carpathian Control Conference, ICCC 2023, Institute of Electrical and Electronics Engineers Inc., pp. 331-336, 24th International Carpathian Control Conference, Sinaia, Romania,
12.05.23.
https://doi.org/10.1109/ICCC57093.2023.10178897APA
Teixeira, D. P., Do Carmo, M. J., Santos, M. F.
, & Mercorelli, P. (2023).
The Use of Genetic Algorithm for PID Controller Auto-Tuning in ARM CORTEX M4 Platform. In D. Drotos, R. Benotsmane, A. K. Varga, A. Trohak, & J. Vasarhelyi (Eds.),
Proceedings of the 2023 24th International Carpathian Control Conference, ICCC 2023 (pp. 331-336). (Proceedings of the 2023 24th International Carpathian Control Conference, ICCC 2023). Institute of Electrical and Electronics Engineers Inc..
https://doi.org/10.1109/ICCC57093.2023.10178897Vancouver
Teixeira DP, Do Carmo MJ, Santos MF
, Mercorelli P.
The Use of Genetic Algorithm for PID Controller Auto-Tuning in ARM CORTEX M4 Platform. In Drotos D, Benotsmane R, Varga AK, Trohak A, Vasarhelyi J, editors, Proceedings of the 2023 24th International Carpathian Control Conference, ICCC 2023. Institute of Electrical and Electronics Engineers Inc. 2023. p. 331-336. (Proceedings of the 2023 24th International Carpathian Control Conference, ICCC 2023). doi: 10.1109/ICCC57093.2023.10178897
Bibtex
@inbook{43158c02ccaa441f9485997954e1c927,
title = "The Use of Genetic Algorithm for PID Controller Auto-Tuning in ARM CORTEX M4 Platform",
abstract = "It is known that the Proportional, Integral and Derivative (PID) controller is still the most used control device in the industry, due to its efficiency, ease of implementation and wide applicability. However, the controller tuning also presents some difficulties. Within this context, this work presents a practical implementation for PID controller auto-tuning using genetic algorithms embedded in the ARM Cortex microcontroller. The results showed efficient applicability for the controlled system.",
keywords = "Auto-Tuning, Genetic Algorithm, Metaheuristics, PID Controller, Engineering",
author = "Teixeira, {Daniel Pinheiro} and {Do Carmo}, {Marlon Jose} and Santos, {Murillo Ferreira} and Paolo Mercorelli",
note = "Funding Information: The authors thank CEFET-MG, DAAD, and the Leuphana University of L{\"u}neburg for their financial support. Publisher Copyright: {\textcopyright} 2023 IEEE.; 24th International Carpathian Control Conference, ICCC 2023 ; Conference date: 12-05-2023 Through 14-05-2023",
year = "2023",
month = jun,
day = "12",
doi = "10.1109/ICCC57093.2023.10178897",
language = "English",
isbn = "979-8-3503-1023-8",
series = "Proceedings of the 2023 24th International Carpathian Control Conference, ICCC 2023",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "331--336",
editor = "Daniel Drotos and Rabab Benotsmane and Varga, {Attila Karoly} and Attila Trohak and Jozsef Vasarhelyi",
booktitle = "Proceedings of the 2023 24th International Carpathian Control Conference, ICCC 2023",
address = "United States",
}
RIS
TY - CHAP
T1 - The Use of Genetic Algorithm for PID Controller Auto-Tuning in ARM CORTEX M4 Platform
AU - Teixeira, Daniel Pinheiro
AU - Do Carmo, Marlon Jose
AU - Santos, Murillo Ferreira
AU - Mercorelli, Paolo
N1 - Conference code: 24
PY - 2023/6/12
Y1 - 2023/6/12
N2 - It is known that the Proportional, Integral and Derivative (PID) controller is still the most used control device in the industry, due to its efficiency, ease of implementation and wide applicability. However, the controller tuning also presents some difficulties. Within this context, this work presents a practical implementation for PID controller auto-tuning using genetic algorithms embedded in the ARM Cortex microcontroller. The results showed efficient applicability for the controlled system.
AB - It is known that the Proportional, Integral and Derivative (PID) controller is still the most used control device in the industry, due to its efficiency, ease of implementation and wide applicability. However, the controller tuning also presents some difficulties. Within this context, this work presents a practical implementation for PID controller auto-tuning using genetic algorithms embedded in the ARM Cortex microcontroller. The results showed efficient applicability for the controlled system.
KW - Auto-Tuning
KW - Genetic Algorithm
KW - Metaheuristics
KW - PID Controller
KW - Engineering
UR - http://www.scopus.com/inward/record.url?scp=85166465873&partnerID=8YFLogxK
UR - https://www.mendeley.com/catalogue/c95aec51-148b-33cd-b451-a1309b7b1809/
U2 - 10.1109/ICCC57093.2023.10178897
DO - 10.1109/ICCC57093.2023.10178897
M3 - Article in conference proceedings
AN - SCOPUS:85166465873
SN - 979-8-3503-1023-8
T3 - Proceedings of the 2023 24th International Carpathian Control Conference, ICCC 2023
SP - 331
EP - 336
BT - Proceedings of the 2023 24th International Carpathian Control Conference, ICCC 2023
A2 - Drotos, Daniel
A2 - Benotsmane, Rabab
A2 - Varga, Attila Karoly
A2 - Trohak, Attila
A2 - Vasarhelyi, Jozsef
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 24th International Carpathian Control Conference
Y2 - 12 May 2023 through 14 May 2023
ER -
