This study deals with the robust velocity controller of a DC motor driven by means of parallel DC/DC buck power converters with equal current distribution, from the perspective of a generalised proportional–integral (GPI)‐observers‐based active disturbance rejection controller (ADRC). The multivariable system is subject to constant torque load demands and changes in the internal parameters. The linear output feedback controllers actively counteract the exogenous and endogenous disturbances that result from the cascading parallel converter and the DC motor. A rapid prototyping tool is used for synthetising the proposed controller into a field‐programmable gate array (FPGA) which is based on Matlab/Simulink and a Xilinx System Generator. The robustness of the proposed ADRC system is analysed. The FPGA‐based implementation setup is presented with the purpose of validating the theoretical calculations of the proposed DC motor velocity control.

This paper presents an experimental platform for regulating the DC motor angular speed powered by photovoltaic cells. The experimental platform comprises an Eco Green Energy EGE-260P-60 solar panel, DC/DC SEPIC converter, DC bus, DC/DC buck converter, DC motor and 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 simultaneously evaluate the different processes, 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 estimates and cancels the effects of disturbances caused by variations in the environmental conditions, photovoltaic system, DC bus, and load changes in order to regulate DC motor speed.

This paper presents the mathematical modeling and control design procedure of the compressor motor of an air conditioner using the energy from a photovoltaic system combined with the power grid in a DC microgrid. A comprehensive model considers the interconnection of the photovoltaic cells with their associated DC/DC converter, the DC bus, the three-phase squirrel-cage induction motor with its driver, the bidirectional DC/AC converter, the output filter, and the power grid. The state-of-the-art showed that a complete mathematical model of the proposed system is unavailable. Therefore, the mathematical model of the system is compared and validated in simulation with a block diagram in the Matlab/Simulink environment. In addition, several control approaches are used in the whole system to track the maximum power point of the photovoltaic cells, obtain a soft start on the machine, control the velocity using the variable frequency drive, regulate the DC bus voltage, and manage the power flow between the DC bus and the power grid.

This paper presents a system for tracking the maximum power point (MPP) and output voltage regulation of photovoltaic cells. The system includes two stages of cascading dc/dc converters: the first one is a boost converter used for tracking the MPP using the perturb and observe algorithm. Meanwhile, a buck converter regulates the output voltage employing the active disturbance rejection control based on an extended state observer and the differential flatness property. The hardware architecture was modeled using high‐level tools of hardware abstraction and implemented in a FPGA Artix‐7 made by Xilinx. Finally, the performance of the proposed system is shown through a series of experiments that consisted of changing the irradiance and temperature conditions and changes in the system parameters.

El presente artículo documenta el diseño e implementación de un controlador robusto para el convertidor CD/CD Reductor–Paralelo, bajo la perspectiva de la planitud diferencial y la técnica del control por rechazo activo de perturbaciones basado en un observador GPI. Los objetivos principales del controlador propuesto son: regular la tensión de salida y equilibrar las corrientes de los convertidores en paralelo. Para el modelado de la arquitectura hardware de este controlador se utiliza una herramienta con alto nivel de abstracción de hardware y se implementa en un FPGA Artix–7 de la compañía Xilinx. Finalmente, se muestran resultados experimentales del desempeño del controlador, cuando se somete al convertidor a diversas perturbaciones externas, desconocidas y variantes con el tiempo, y a cambios en los parámetros del mismo.