Development of electric drive system for solar battery system based on artificial intelligence

In this article, the authors present research on the influence of the drive system that controls the solar battery system according to sunlight, to maximize the source of incoming solar radiation PV panels. This drive system tracking operates according to the changing solar radiation light entering the PV panel; When the sun changes its position and shines on the solar battery system, the motor will rotate, causing the panel to move according to the sun's light. The system is researched to build a model and calculate the position tracking control algorithm, according to 12, 15 and combined with reinforcement learning technology with Q-learning algorithm and MPPT (Maximum Power Point Tracker) control). These studies will bring maximum capacity to the grid-connected solar power system. These research results will be the basis for establishing control algorithms and designing solar power systems in industry and military. © 2023 IEEE.