Abstract: The aerodynamic noise problem has gained significant attention as the application domain of quadrotors rapidly expands. Based on phase synchronization control technology, this paper proposes an active noise suppression method to reduce the sound pressure generated by a single quadrotor. To begin with, a physical model based on the free-wake method is established to analyze the aerodynamic noise of the quadrotor. Furthermore, a proxy model based on artificial neural network is established to decrease the consumption of computing resource, thereby improving the real-time performance of the dynamic control system. In addition, various phase angles under combined control are introduced into calculation, while recording the noise data at observation place in front of the aircraft. A relative dataset composed of these angles is then used for simulation, taking a specific unmanned aerial vehicle as the experimental object. Finally, the genetic algorithm is employed to generate optimal phase angle for active control which can suppress noise in the fan-shaped area ahead of the quadrotor, thus optimizing the proxy model. In summary, based on the simulation results, the average sound pressure at the observation point in the fan-shaped area can be reduced by 9 dB under the active control of optimal phase angle.