中文摘要：

该文研究了基于子空间跟踪的时变模态参数快速辨识算法的过程。对更新的输入/输出数据的预处理后,时变模态参数辨识的主要问题转化成子空间跟踪,引入NPI和API子空间跟踪算法替代PAST形成两种新的时变模态参数快速识别算法。通过对移动分布质量-悬臂梁这一典型的时变结构系统以及两自由度弹簧-质量系统的时变模态参数识别验证了新算法的有效性并且比较分析了这3种基于不同子空间跟踪算法的时变模态参数识别算法的辨识能力。

英文摘要：

The procedure of fast identification algorithms of the time-varying modal parameter based subspace tracking is investigated in this paper.After the pretreatment to the updating input/output data,the problem of fast time-varying modal parameter identification changes to be a subspace tracking problem principally.Adopting the principal subspace tracking algorithms,the fast time-varying modal parameter identification algorithms can be deduced.Replacing PAST by NPI and API,two new versions of time-varying modal parameter identification algorithms are proposed.The performance of the fast modal parameter identification algorithms based on different principal subspace tracking algorithms are compared by applying them on a classical time-varying mechanical system of a moving distributed mass-cantilever beam and a 2-DOF spring-mass model.