A flutter boundary real-time prediction system and prediction method based on an ARMA model

Abstract

The invention discloses a flutter boundary real-time prediction system and prediction method based on an ARMA model, and relates to the field of aircraft flutter tests. The system comprises a signal acquisition module, a data processing module, a stability analysis module and a flutter prediction module which are sequentially connected. The working principle is as follows an acceleration sensor isarranged at a key position of a test object, and a sensor signal is transmitted to an acquisition module of the system through a bus in the test process. After being adjusted and filtered, the signalis transmitted to the data processing module, the processed data is subjected to the stability analysis and the flutter prediction, finally, the flutter speed is outputted, and the flutter speed is judged through a threshold value. The method and the system are applied to the model wind tunnel flutter test and the flight flutter test, the flutter prediction precision can be effectively improved,the flutter boundary can be rapidly predicted in real time, the flutter critical speed is automatically judged according to the set threshold value and provided for professional testers in time, the test safety is guaranteed, and the test cost is reduced.

Description

technical field [0001] The invention relates to the field of aircraft flutter tests, in particular to a real-time prediction system and method for flutter boundaries based on an ARMA model. Background technique [0002] Aircraft flutter tests usually include model wind tunnel flutter tests and flight flutter tests. In the flutter test of the model wind tunnel, it is generally judged by manual observation whether the critical speed of flutter has been reached, which is prone to large errors or even misjudgments, and there are great potential safety hazards. Especially for sudden flutter, when the wind speed is increased, it is very likely that flutter will occur without the staff having time to control it, causing the model to disintegrate and damage, and even damage the wind tunnel. [0003] In the flight flutter test, the flight speed is usually gradually increased at a certain altitude, and after reaching a certain level, it is changed to another flight altitude, graduall...

AI Technical Summary

Problems solved by technology

However, in the flight test, it is easy to be affected by the identification error and cause extrapolation distortion. In addition, there is a nonlinear relationship between these parameters and the flight speed (or speed pressure), and there is great uncertainty in the flutter prediction results.

Moreover, the analysis and processing of the signal is generally carried out by ground staff, and the flutter boundary cannot be predicted in real time during the flight test, which may require multiple flight tests to give accurate flutter characteristics, which is time-consuming and labor-intensive

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