Design and Implementation of Intelligent Controller Based on hybrid renewable energy source

This paper presents the design and implementation of Artificial Neural Networks (ANN) that control a hybrid wind-solar system based on Field Programmable Gate Arrays. the controller designed to direct the output from the clean energy systems where the output might be from the wind, solar, the sum of the two systems, or from the battery charging system. The ANN designed and trained using MATLAB2019a, two training algorithms were explored Levenberg-Marquardt and Practical Swarm Optimization and the one with best training results have been chosen to be Co-Simulated on Xilinx Spartan 6 FPGA XC6SLX9FTG256 using Xilinx System Generator (XSG) with MATLAB R2012b Simulink then the FPGA card Hardware Implementation using ISE Design Suite 14.7 program.