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The Use of Genetic Algorithm for PID Controller Auto-Tuning in ARM CORTEX M4 Platform

Research output: Contributions to collected editions/works › Article in conference proceedings › Research › peer-review

Authors

  • Daniel Pinheiro Teixeira
  • Marlon Jose Do Carmo
  • Murillo Ferreira Santos
  • Paolo Mercorelli

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.

Original languageEnglish
Title of host publicationProceedings of the 2023 24th International Carpathian Control Conference, ICCC 2023
EditorsDaniel Drotos, Rabab Benotsmane, Attila Karoly Varga, Attila Trohak, Jozsef Vasarhelyi
Number of pages6
PublisherInstitute of Electrical and Electronics Engineers Inc.
Publication date12.06.2023
Pages331-336
ISBN (print)979-8-3503-1023-8
ISBN (electronic)979-8-3503-1022-1
DOIs
Publication statusPublished - 12.06.2023
Event24th International Carpathian Control Conference - Sinaia, Romania
Duration: 12.05.2023 → 14.05.2023
Conference number: 24

Bibliographical note

Funding Information:
The authors thank CEFET-MG, DAAD, and the Leuphana University of Lüneburg for their financial support.

Publisher Copyright:
© 2023 IEEE.

    Research areas

  • Auto-Tuning, Genetic Algorithm, Metaheuristics, PID Controller
  • Engineering

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