Minimizing the loses of solar power generation by designing an intelligent tracking system implemented on FPGA

Abstract

The increasing of using of an electrical power as a power source in a large number of devices can occur a serious problem in our daily life. One of the useful power sources is a solar cell which used to overcome many problems of power generation. In this paper, the solar cell model is proposed to minimize loses of solar power generation by designing of an intelligent tracking system based on FPGA. PSO algorithms are used to train the neural networks to control the speeds and the directions of rotations of two DC motors with the help of FPGA cart. The proposed system was implemented in MATLAB; and for the hardware part, FPGA was used for the implementation of neural networks.