Optimal Tuning of the Speed Control for Brushless DC Motor Based on Chaotic Online Differential Evolution

Alejandro Rodríguez-Molina, Miguel Gabriel Villarreal-Cervantes, Omar Serrano-Pérez, José Solís-Romero and Ramón Silva-Ortigoza
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Alejandro Rodríguez-Molina: Research and Postgraduate Division, Tecnológico Nacional de México/IT de Tlalnepantla, Tlalnepantla de Baz 54070, Mexico
Miguel Gabriel Villarreal-Cervantes: Mecatronic Section, Postgraduate Department, Centro de Innovación y Desarrollo Tecnológico en Cómputo, Instituto Politécnico Nacional, Mexico City 07700, Mexico
Omar Serrano-Pérez: Mecatronic Section, Postgraduate Department, Centro de Innovación y Desarrollo Tecnológico en Cómputo, Instituto Politécnico Nacional, Mexico City 07700, Mexico
José Solís-Romero: Research and Postgraduate Division, Tecnológico Nacional de México/IT de Tlalnepantla, Tlalnepantla de Baz 54070, Mexico
Ramón Silva-Ortigoza: Mecatronic Section, Postgraduate Department, Centro de Innovación y Desarrollo Tecnológico en Cómputo, Instituto Politécnico Nacional, Mexico City 07700, Mexico

Mathematics, 2022, vol. 10, issue 12, 1-32

Abstract: The efficiency in the controller performance of a BLDC motor in an uncertain environment highly depends on the adaptability of the controller gains. In this paper, the chaotic adaptive tuning strategy for controller gains (CATSCG) is proposed for the speed regulation of BLDC motors. The CATSCG includes two sequential dynamic optimization stages based on identification and predictive processes, and also the use of a novel chaotic online differential evolution (CODE) for providing controller gains at each predefined time interval. Statistical comparative results with other tuning approaches evidence that the use of the chaotic initialization based on the Lozi map included in CODE for the CATSCG can efficiently handle the disturbances in the closed-loop system of the dynamic environment.

Keywords: adaptive tuning; brushless motor; chaotic online differential evolution; online optimization; meta-heuristics (search for similar items in EconPapers)
JEL-codes: C (search for similar items in EconPapers)
Date: 2022
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (2)

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