Didactic-embedded platform for system identification applied to a BLDC motor

https://doi.org/10.58571/CNCA.AMCA.2023.031

Resumen: This paper presents a didactic-embedded platform for system identification applied to a BLDC motor like those found in drones. The main component of the embedded system is a Raspberry Pi 4 board with a slave board based on Microchip microcontroller PIC18F45K50. A detailed case study shows the platform’s applicability to identify the Brushless Direct Current (BLDC) motor’s parameters using the process reaction curve method.

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Villalobos Piña, Francisco Javier; Alvarez-Salas, Ricardo; Reyes-Malanche, Josue Augusto; Saucedo Zárate, Carlos Humberto; Esparza González, Mario Salvador; Gonzalez-Murillo, Luis Alberto. Didactic-embedded platform for system identification applied to a BLDC motor. Memorias del Congreso Nacional de Control Automático, pp. 115-120, 2023. https://doi.org/10.58571/CNCA.AMCA.2023.031

Palabras clave

Educación en Control; Tecnología para Control

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