Aimed at the problem that adaptability of fuzzy control obstacle avoidance algorithm is poor in the environment with unknown obstacle information, this paper proposes an obstacle avoidance strategy for UAV based on fuzzy neural network. Firstly, the fuzzy controller is designed, and the input variables of the fuzzy controller are optimized. Secondly, the fuzzy neural network is trained by using the relevant data in the ideal obstacle avoidance path. The simulation results show that the method has stronger adaptability, better obstacle avoidance effect in the face of complex obstacles, can shorten the local planning path, can safely reach the target area in the unknown environment, and the motion trajectory is smooth.