In order to effectively use solar energy

improve the efficiency of photovoltaic（ PV） systems

by analyzing the output characteristics of solar cells and the principle of maximum power point tracking

and combining the advantages of fuzzy control algorithm

neural network and proportion integration differentiation（ PID）algorithm

a fuzzy radial basis function（ RBF） neural network tracking algorithm for maximum power point of solar cells is proposed. The fuzzy-RBF neural network is used to adaptively adjust the control parameters of the PID controller to adjust the duty ratio of the power switch to achieve the maximum power point tracking control of solar cells. Simulation and experimental results show that the algorithm can effectively improve response speed and adaptive capacity of the system.