Aiming at the problem that the aircraft landing gear control system controlled by traditional PID control and fuzzy PID control can not reach ideal control accuracy and control speed,a fuzzy neural PID control algorithm based on fuzzy control and neural network was proposed.The motion model of the aircraft landing gear was established by analyzing the motion characteristics of the landing gear and the relevant dynamics theoretical analysis.The intelligent PID control method was applied to the attitude control system of the aircraft landing gear.The simulation was carried out by MATLAB/Simulink software,and the landing gear single leg experiment was carried out based on the raspberry pie device.The simulation and experimental results show that the response speed and anti-interference ability of the fuzzy neural network PID control system are greatly improved compared with the traditional PID and fuzzy PID,and the system stability is stronger.In the aircraft landing gear control system,the application of fuzzy neural PID control can further improve the response speed of the system,reduce the inertial impact of the system motion,and improve the stability of the overall mechanism.