A response prediction method based on direct transfer function

The elastic vibration of a wing significantly affects the transfer alignment accuracy of an inertial guidance system. Therefore, the accurate prediction of the elastic vibration response that obtains critical positions on an aircraft is one of necessary prerequisites for implementing transfer alignment. To meet this requirement, a response prediction method based on the direct transfer function is proposed, using the direct transfer relationship between multiple structural vibration responses. The method does not rely on a dynamic model but directly predicts the response at the target position with the surrounding structural response, thus being implementable. Firstly, the ideal samples of a whole aircraft's vibration responses under various excitations are calculated and obtained. Then, a virtual distributional sensor network is established, and the proposed response prediction method is used to virtually predict and reconstruct the acceleration response at the specified position under various operating conditions. Finally, the response prediction method is validated with the standard aircraft response dataset and the large passenger aircraft trial flight dataset. The experimental results show that the predicted responses and the actual measurements agree very well, further validating the feasibility of the proposed response prediction method.