In order to improve the system response and control effect of the multi-degree-of-freedom and nonlinear quadrotor UAV model control system, a fuzzy PID control strategy based on genetic algorithm optimization is proposed. The whole control system is divided into two parts: the outer loop position controller and the inner loop attitude controller, and the quadrotor UAV system is modeled and simulated. The simulation results show that when the roll angle is 35°, 45° and 65 °, the angle error of the fuzzy PID control optimized by genetic algorithm is reduced by 2. 58°, 3.09° and 3°. 78° compared with the fuzzy PID control, and the X axis error is reduced by 0. 759 m, 0.658 m and 0. 593 m, respectively; The Y-axis error is reduced by 0. 157 m, 0.228 m and 0. 195 m, and the Z-axis error is reduced by 0. 169 m, 0.237 m and 0. 514 m, respectively. The results show that the strategy ensures the stability of the whole aircraft, makes the control system of the whole aircraft achieve better control effect, and ensures the four-rotor UAV has better performance.