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PV-dcmotor-system-supplementary-material.rar (78.62 MB)

Supplementary material of the paper entitled "DC Motor Drive Powered by Solar Photovoltaic Energy: A FPGA-based Active Disturbance Rejection Control Approach"

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Version 2 2022-07-30, 00:25
Version 1 2022-07-29, 22:41
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posted on 2022-07-30, 00:25 authored by Esteban Guerrero Ramírez, Alberto Martinez BarbosaAlberto Martinez Barbosa, Marco Antonio Contreras Ordaz, Gerardo Guerrero Ramirez, Enrique Guzman Ramirez, Jorge Luis Barahona Avalos, Manuel Adam Medina

-This file contains the supplementary material presented in the paper:

 E. Guerrero-Ramirez et al., “DC Motor Drive Powered by Solar Photovoltaic Energy: An FPGA-Based Active Disturbance Rejection Control Approach,” Energies, vol. 15, no. 18, p. 6595, Sep. 2022, https://doi.org/10.3390/en15186595



- The supplementary material includes two projects: a simulation and an implementation project.


The abstract of the paper is: 

This paper presents an experimental platform for regulating the DC motor angular speed powered by photovoltaic cells. The experimental platform is comprised of the Eco Green Energy EGE-260P-60 solar panel, the DC/DC SEPIC converter, the DC bus, the DC/DC buck converter, the DC motor and the Nexys 4 board with an Artix-7 100T FPGA. The DC/DC SEPIC converter is used for harvesting the maximum amount of energy from the PV cells using the Perturb and Observe algorithm to track the maximum power point. The DC/DC buck converter is used as the motor drive using the Active Disturbance Rejection Control to regulate the angular speed of the DC motor. In addition, the FPGA architecture design is presented using a hierarchical top-down methodology with the VHDL hardware description language and Xilinx System Generator tool. The software takes advantage of the FPGA’s concurrency to evaluate the different process simultaneously, which is the main reason for choosing this digital device. Several tests were performed on the platform such as irradiance changes, DC bus variations, DC motor connection and load torque variations applied in the motor shaft. The results indicate that the maximum power is obtained from the photovoltaic cells, establishing the minimum operating conditions. In addition, the control approach estimate and cancel the effects of disturbances caused by variations in the environmental conditions, the photovoltaic system, the DC bus, and the load changes in order to regulate the DC motor speed. 

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