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利用粒子群优化算法识别模态频率和阻尼比的方法无需测量激励信号,且不受邻近模态耦合的影响。阐述了简谐激励作用下利用粒子群优化方法对系统模态参数的识别过程,指出了在信号经过滤波处理后该方法不能精确识别信号模态相位的缺陷,并提出了改进方法。通过仿真计算以及应用改进的方法对倾转旋翼模型机翼端部的振动信号进行识别和分析,表明改进的方法可以精确识别出信号中各模态响应的相位值,能够有效地对系统的模态响应进行识别。
The method of using particle swarm optimization algorithm to identify modal frequency and damping ratio need not measure the excitation signal and is not affected by the coupling of adjacent modes. The recognition process of the system modal parameters by the PSO method under the harmonic excitation is described. The defect that the method can not accurately identify the signal modal phase after the signal filtering is pointed out, and the improved method is proposed. Through the simulation and the application of the improved method to identify and analyze the vibration signal of the wing end of the rotor model, it shows that the improved method can accurately identify the phase value of each mode response in the signal, State response to identify.