In order to overcome some shortcomings of the traditional maximum power point tracking (MPPT) method and make the photo voltaic (PV) system work more quickly and accurately at the maximum power output point, an adaptive control method based on fuzzy control and neural network control was proposed. This method made full use of the advantages of fuzzy neural network to deal with nonlinear problems. The fuzzy control was used to change the step size, and the selflearning ability of the neural network was used to achieve the balance quickly. The PV MPPT achieved a better balance between tracking speed and stability. Simulation and experimental results showed that the MPPT method based on fuzzy neural network adaptive control had strong robustness and adaptive ability.