基于遥测电流的太阳翼在轨振动参数辨识方法

针对传统太阳翼在轨振动特性测试需采用高精度星载设备或额外增设测量装置的问题，建立了太阳翼发电电流与太阳光线入射角之间、太阳翼在轨振动与太阳翼发电电流波动之间的关系。在此基础上提出了仅依靠遥测电流波动信息辨识太阳翼在轨振动固有频率和阻尼比的方法，即：首先通过傅里叶变换获取电流波动信号的幅频响应；结合模态分析结果辨识振动频率及对应阶次信息；通过滤波算法分解各阶次振动，逐一计算对应阻尼比。为验证本方法有效性及误差水平，构造了由多个单自由度衰减振动及随机信号叠加而成的模拟电流波动信号进行仿真分析，结果表明方法有效，误差可接受。在某卫星太阳翼在轨振动参数辨识上的应用实例也表明，本文所提出的方法满足工程应用需求。

Identification Method of Vibration Characteristics for In orbit Solar Wing Based on Telemetry Current

To solve the problem that the high-precision spaceborne equipment and extra measuring devices have to be applied in testing the in-orbit vibration characteristics of the traditional solar wings, a method that only uses the photovoltaic current fluctuation signals to identify the natural frequency and damping ratio of the solar wings’ is proposed. It is based on establishing relationship among the solar wing’s electricity generation and solar ray’s incidence angle, the solar wing’s in-orbit vibration and its photovoltaic current fluctuation. The first step of this method is to obtain the amplitude-frequency response of the current fluctuation signals by the Fourier transform. Secondly, the vibration frequency and its corresponding order information are identified with simplified modal analysis results. Finally, the vibration of every order is decomposed by the filtering algorithm, thus enabling the calculation of each corresponding damping ratio. Aiming to verify the effectiveness and error level, a simulating current fluctuation signal superposed by multiple single-degree-of-freedom attenuation vibrations and random signals is constructed and used to carry out the simulation analysis. The analysis results prove that this method is effective and the error is acceptable. A practical application of this method on a satellite solar wing’s in-orbit vibration parameter identification demonstrates that the proposed method satisfies the engineering application requirements as well.