In order to achieve the purpose of suppressing the vibration of wind tunnel model under pulsating airflow excitation, an active vibration control method of the wind tunnel model based on neural network model of piezoelectric ceramic actuator is proposed, and the experiment study was carried out in this work. Firstly, the vibration characteristics of the wind tunnel model system were analyzed, and the active vibration control system of the embedded piezoelectric ceramic actuator was set up. Secondly, a neural network model of piezoelectric ceramic actuator’s expected output damping force and excitation voltage was established, and a real-time control method was designed based on the neural network model to calculate the acceleration as excitation voltage. Finally, the effectiveness of the control method was verified by ground test. The experimental results showed that the control method had good real-time performance and robustness. In the hammer test, the decay time of vibration acceleration is reduced by 54.46% compared with the piezoelectric equation linear control, the system damping ratio is increased by 1.58 times, and a good control effect is obtained.