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针对大型飞机试飞过程中,数据通道多、颤振模态密集的特点,采用最小二乘复频域法(LSCF)实现了多输入多输出系统密集模态参数识别,并引入稳态图帮助识别真实模态。LSCF法采用右矩阵分式模型,使用Z域基函数,通过最小化误差代价函数求解待定参数;根据真实模态随模型阶次增大而趋于稳定的特点,通过绘制稳态图识别出真实模态。从飞机实测试飞数据中识别出多阶密集模态,并与地面共振试验结果进行了对照,验证了方法的有效性。
Aiming at the large number of flight paths and large flutter mode during the flight test of large aircraft, the dense modal parameter identification of MIMO system was implemented by using least-squares complex frequency domain method (LSCF), and the steady-state map was introduced to help identify Real modal. The LSCF method uses the right-matrix fractional model and the Z-domain basis function to solve the undetermined parameters by minimizing the error cost function. According to the characteristic that the real modal tends to be stable as the model order increases, real- Modal. The multi-order dense mode was identified from the measured flight data of the aircraft and compared with the ground-based resonance test results to verify the effectiveness of the method.