Metaheuristics of the Artificial Bee Colony Used for Optimizing a PID Dahlin in Arm Platform

Jonathan Cevallos, Juan Sebastián Garate Garate, William Montalvo

Producción científica: Capítulo del libro/informe/acta de congresoContribución de conferenciarevisión exhaustiva

1 Cita (Scopus)

Resumen

The simplicity, high efficiency and robustness of PID controllers make them a widely accepted alternative in the industry around the world. This paper presents the development of two Dahlin-type Proportional Integral and Derivative (PID) controllers, the first one based on the development of a traditional controller and the second one optimized by employing the metaheuristic ABC algorithm for the speed control of a permanent magnet DC motor in a plant control trainer (CTP). The programming is developed with Matlab software, using the Simulink tool together with the drivers and programmers of the Waijung library, and the ARM STM32F4-Discovery platform of 32-bit ARM-Cortex architecture is in charge of the management of the control process. The performance comparison is carried out using the performance index of the Integral of Absolute Error multiplied in time (ITAE), statistically analyzed by IBM’s Statistical Package for the Social Sciences (SPSS), where the performance of each controller is evaluated. The results are interesting from the point of view of automatic control.

Idioma originalInglés
Título de la publicación alojadaCSEI
Subtítulo de la publicación alojadaInternational Conference on Computer Science, Electronics and Industrial Engineering (CSEI) - Advances and Applications in Computer Science, Electronics and Industrial Engineering. Proceedings of the Conference on Computer Science, Electronics and Industrial Engineering, CSEI 2022
EditoresMarcelo V. Garcia, Carlos Gordón-Gallegos
EditorialSpringer Science and Business Media Deutschland GmbH
Páginas249-261
Número de páginas13
ISBN (versión impresa)9783031305917
DOI
EstadoPublicada - 2023
EventoInternational Conference on Computer Science, Electronics, and Industrial Engineering, CSEI 2022 - Ambato, Ecuador
Duración: 7 nov. 202211 nov. 2022

Serie de la publicación

NombreLecture Notes in Networks and Systems
Volumen678 LNNS
ISSN (versión impresa)2367-3370
ISSN (versión digital)2367-3389

Conferencia

ConferenciaInternational Conference on Computer Science, Electronics, and Industrial Engineering, CSEI 2022
País/TerritorioEcuador
CiudadAmbato
Período7/11/2211/11/22

Nota bibliográfica

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

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