模态响应识别的粒子群优化方法在倾转旋翼机上的应用

Application of modal response identification using particle swarm optimizer on tiltrotor aircraft

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。

A method for modal identification by using the particle swarm optimizer（PSO） doesn＇t need to measure the actuating signal and is not affected by modal couplings.The process of using the PSO to identify the modal parameters of the system was described.The drawback has been pointed out that the modal phases can not be accurately identified by using this PSO for the filtrated signals.And an improved method for accurate identification has been presented.The simulation results show that the modal phases of filtrated signals can be accurately identified by using the improved method.The application to the modal response identification of the wing＇s vibration signals from a tilt-rotor model verified that the PSO can be used to identify the coupled modals of system and is effectively to identify the modal parameters of the tilt-rotor.