基于LPV模型的颤振试飞响应预测及激励优化  

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

作　　者：寇宝智 雷鸣[1] 卢晓东[1] KOU Baozhi;LEI Ming;LU Xiaodong(Aircraft Flight Test Technology Institute,Chinese Flight Test Establishment,Xi’an 710089,China)

机构地区：[1]中国飞行试验研究院飞机所,西安710089

出　　处：《振动与冲击》2022年第2期103-112,共10页Journal of Vibration and Shock

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。For satisfying the requirements of real-time monitoring and flight test efficiency in flight flutter tests,a local linear dynamic-pressure-varying model was established based on the frequency domain subspace identification method with pole constraint and the state-space interpolation algorithm.The process of velocity extension in the flight flutter tests 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 results show that the accuracy of the predicted responses is gradually improved along with the accumulation of flight test data,and the prediction values can meet the needs of engineering real-time monitoring,compared with the actual flight test responses.The optimized excitation can improve the signal-to-noise ratio of responses and avoid the over-limit of responses,which can improve the efficiency of flight flutter tests.

关 键 词：颤振试飞 响应预测 激励优化 状态空间插值算法 

分 类 号：V217[航空宇航科学与技术—航空宇航推进理论与工程]