Solar powered UAV mainly relies on solar energy for range, it uses photovoltaic cells to convert solar radiant energy into electric energy for the use of solar powered UAV energy system. In response to the issue of solar powered UAV photovoltaic power supply energy utilization efficiency, an intelligent sliding mode based MPPT control method is proposed to maximize the output power of photovoltaic power supply. Firstly, introduce and analyze the photovoltaic cell model and its output characteristics; Secondly, the DC/DC converter and its MPPT control technology are introduced. Traditional MPPT control methods such as perturbation and observation and incremental conductance have poor adaptability to external environmental changes, the intelligent algorithm has the characteristics of fast rate of convergence and global search, etc. Therefore, on the basis of sliding mode control, this article introduces genetic algorithm for multi-objective function parameter tuning of sliding mode control law, forming an intelligent sliding mode MPPT control method based on genetic algorithm, which has good adaptability; Finally, three control strategies for photovoltaic power supply MPPT control of solar powered UAV are simulated and analyzed in the MATLAB environment, the simulation results show that all three control strategies can achieve good tracking performance when external environmental conditions change, Among them, intelligent sliding mode control has obvious anti-interference ability, achieving the fastest steady-state response speed, the smallest steady-state oscillation amplitude, and the shortest steady-state oscillation time. Overall, its tracking effect is the best, and it can effectively achieve MPPT control of solar powered UAV photovoltaic power supply.