基于LPV模型的颤振试飞响应预测及激励优化

寇宝智,雷鸣,卢晓东

振动与冲击 ›› 2022, Vol. 41 ›› Issue (2) : 103-112.

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振动与冲击 ›› 2022, Vol. 41 ›› Issue (2) : 103-112.
论文

基于LPV模型的颤振试飞响应预测及激励优化

  • 寇宝智,雷鸣,卢晓东#br#
作者信息 +

Response prediction and excitation optimization of flight flutter tests based on a LPV model

  • KOU Baozhi,LEI Ming,LU Xiaodong
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摘要

针对颤振飞行试验中实时监控和试飞效率的需求,基于具有极点约束的频域子空间法算法和状态空间插值算法建立线性变速压气动弹性系统局部模型。设计结合模型迭代的颤振试飞速度扩展流程,实现了基于试飞数据的结构响应预测和激励优化。通过仿真算例和实际试飞数据验证预测响应的准确性及激励优化的有效性:预测响应值的精度随着建模数据的累积逐步提高,对比实际试飞响应,满足工程实时监控需求;优化的激励可提高响应信噪比及避免响应超限,有效提高了试飞效率。

Abstract

As the requirement of real-time monitoring and flight test efficiency in flight flutter test, the local linear dynamic-pressure-varying model was established based on frequency domain subspace identification method with pole constraint and state-space interpolation algorithm. The process of velocity extension in flight flutter test combined with model iteration was designed, and the structural response prediction and excitation optimization using flight test data were realized. The accuracy of predicted responses and the effectiveness of excitation optimization were verified by simulation examples and actual flight test data: The accuracy of the predicted response value is gradually improved with the accumulation of flight test data, and the predictions meet the needs of engineering real-time monitoring compared with the actual flight test responses; The optimized excitations can improve the signal-to-noise ratio of responses and avoid the over-limitation of responses, which can improve the efficiency of flight flutter test.

关键词

颤振试飞 / 响应预测 / 激励优化 / 状态空间插值法

Key words

flight flutter test / response prediction / excitation optimization / state-space model interpolation

引用本文

导出引用
寇宝智,雷鸣,卢晓东. 基于LPV模型的颤振试飞响应预测及激励优化[J]. 振动与冲击, 2022, 41(2): 103-112
KOU Baozhi,LEI Ming,LU Xiaodong. Response prediction and excitation optimization of flight flutter tests based on a LPV model[J]. Journal of Vibration and Shock, 2022, 41(2): 103-112

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