According to the existing theory of main anti-resonant vibration isolation and active control, a new type of helicopter main vibration isolation prototype is designed. With the change of the operating frequency of the helicopter and the change of the frequency of the vibration isolation system, the mass position of the vibration isolator will be automatically adjusted, so that the system will always have the effect of vibration isolation. Taking the helicopter prototype as the object, using the neural network-based control method, the dynamic characteristics of the experimental object are calibrated to obtain the relationship between the position of the mass and the operating frequency. By studying the frequency tracking algorithm and the combination of the neural network and frequency tracking algorithm, a LabVIEW program that can acquire signals and identify frequencies is created. The experimental results show that the vibration isolation effect and control effect of the new main vibration isolation system are in line with expectations and can play a guiding role in the design of the active vibration control system for helicopters.