子空间跟踪算法在热模态问题中的应用研究

Application of Subspace Tracking Algorithm in Thermo-Mode Identification

总结子空间跟踪算法识别模态参数的一般步骤。对一个有理论参考解的时变两自由度系统进行仿真,利用添加不同量级噪声的响应数据对系统进行辨识。辨识结果表明:基于新信息准则的子空间跟踪算法拥有较好的抗噪能力。对飞行器舵面结构进行受控快速加热,辨识快速升温过程中的模态参数。辨识结果表明:子空间跟踪算法可用于热模态辨识,有一定的工程应用价值。

The general procedure of modal parameter identification by use of subspace tracking algorithm is reviewed in this paper.A two degree-of-freedom spring-mass model with theoretical reference solution is simulated.In order to evaluate anti-noise abilities of different algorithms,the simulation acceleration responses with factitiously added random noise are used for identification.The identified results show that the anti-noise ability of subspace tracking algorithm based on novel information criterion(NIC)is better compared to other three methods.The thermo-modal test with controlled heating procedure for a rudder is carried out.The identification results show that the subspace tracking algorithm is suitable for thermo-modal analysis.