Aircraft flutter prediction system and method

Abstract

The invention discloses an aircraft flutter prediction system and method which are used for solving the technical problem that an existing flutter prediction system is poor in prediction accuracy. According to the technical scheme, the system comprises an excitation signal generator, an excitation executing mechanism, a signal acquiring module and a data processing and flutter prediction module, wherein excitation signals generated by the excitation signal generator are input into a steering engine, the steering engine drives a control plane to deflect through a power booster according to a predetermined instruction so that gas power can be generated and excitation can be formed, and the control plane deflects at different speeds according to different input signals so that different external excitation forces can be generated and a test part can be fully excited. The signal acquiring module is used for acquiring acceleration responses and external excitation force response signals. According to each mach number, the data processing and flutter prediction module can predict a flutter critical point of the test mach number just through a subcritical speed testing point, prediction accuracy can also meet the requirement when the speed testing point is far away from the flutter critical point, and the prediction accuracy of the flutter prediction system is improved.

Description

technical field [0001] The invention relates to a flutter prediction system, in particular to an aircraft flutter prediction system. It also relates to a flutter prediction method based on the aircraft flutter prediction system. Background technique [0002] The most striking physical phenomenon in aeroelastic dynamics is flutter, a dynamic instability that often leads to catastrophic failure of structures. A new type of aircraft or an aircraft with major structural changes must undergo a flutter test flight to confirm that there is no flutter within the flight envelope of the aircraft. [0003] Flutter prediction system is the application of excitation technology, measurement technology and data processing technology in flutter flight test. Flutter flight test has the typical characteristics of high risk, high cost and long period, and is an internationally recognized Class I risk subject. Designing and manufacturing a high-efficiency, low-cost, and low-risk flutter pred...

AI Technical Summary

Problems solved by technology

[0006] In order to overcome the deficiency of poor prediction accuracy of the existing f...

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