Due to the varying environmental condition such as temperature and solar irradiation, it is difficult to track the maximum power point of photovoltaic cells effectively. Aiming at this problem, a method based neural network sliding mode control technology is implied to track the maximum power point. At first, a mathematical model with output power as the state variable of the photovoltaic cells is established, and the error between actual output power with the output power under ideal solar irradiation and temperature is selected as the sliding mode surface. Then, to eliminate the timevarying ...
