随机载荷识别的算法改进与实验验证

文章结合逆虚拟激励法给出了一种条件数加权平均算法,在计算机上模拟了这一算法并与常规方法进行了比较,取得了较好的结果。通过实验验证了这一算法的可行性,证明了条件数加权平均法能在一定程度上克服频响函数在某些频率处的病态问题;并采用以频响函数条件数大小来选定参与识别的响应测点组合的方法,减少了工作量,取得较好的识别效果。

An improved algorithm for random loading identification and experimental validation

A condition number weighted average methodis proposed in this paper to improve the rank defect of thefrequency response function matrix during the process ofrandom loading identification; simulation is carried out tocompare the proposed method with the conventional one. Withthe optimized result by use of the method, experimentalsimulation gives good results, and the ill-conditioning problemcan be solved to some extent. The condition number of FRF isused to choose the response measuring point, which saves timeand gives more accurate results.