Hardware FPGA implementation of an intelligent vector control technique of three-phase rectifier for wind turbine connected to the grid

Abstract

In this work, a comprehensive study of various wind energy conversion system control methodologies is proposed more precisely a comparative study of an intelligent vector control technique of a three-phase rectifier for a wind turbine linked to the grid. Its goal is to ensure a stable control technique that performs well in the face of external perturbations. The system under consideration consists of two converters connected by the DC bus, a permanent magnet synchronous generator, and a wind turbine. A resistor–inductor filter connects the system to the grid. In our system, we use a vector control strategy which is generally based on a proportional–integral controller. However, because of the control sensitivity to external disturbances and parameter modifications, a control method based on a Fuzzy Logic-Control (FLC) mode has been developed. Such a technique provides high performances, like the insensitivity to system non-linearity. Indeed, this study emphasizes the significance of implementing the proposed FLC utilizing the Field-Programmable Gate Array (FPGA). Because of obvious parallelism provided by the FPGA, the fundamental advantage of the FPGA implementation is the growth of the control loop latency. This suggested control algorithm’s performance is investigated utilizing digital simulation through the use of a Xilinx System Generator (XSG) tool, in addition to the implementation with a Zynq-FPGA. In reality, the XSG tool is used to design the hardware structures of the rectifier vector control. The collected results demonstrate that FLC simulation provides superior tracking and precision.