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,
Ramón Silva-Ortigoza
Affiliations
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
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.
