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
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 language | English |
|---|---|
| Title of host publication | Proceedings of the 2023 24th International Carpathian Control Conference, ICCC 2023 |
| Editors | Daniel Drotos, Rabab Benotsmane, Attila Karoly Varga, Attila Trohak, Jozsef Vasarhelyi |
| Number of pages | 6 |
| Publisher | Institute of Electrical and Electronics Engineers Inc. |
| Publication date | 12.06.2023 |
| Pages | 331-336 |
| ISBN (Print) | 979-8-3503-1023-8 |
| ISBN (Electronic) | 979-8-3503-1022-1 |
| DOIs | |
| Publication status | Published - 12.06.2023 |
| Event | 24th 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.
- Auto-Tuning, Genetic Algorithm, Metaheuristics, PID Controller
- Engineering