Journal of Astronautics ›› 2018, Vol. 39 ›› Issue (10): 1081-1088.doi: 10.3873/j.issn.1000-1328.2018.10.003

Previous Articles     Next Articles

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

WU Yue min, LIU Zhi quan, REN Shou zhi   

  1. Institute of Spacecraft System Engineering, China Academy of Space Technology, Beijing 100094, China
  • Received:2018-05-22 Revised:2018-07-31 Online:2018-10-15 Published:2018-10-25


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.

Key words: Solar wing, Vibration parameters, Identification, Fundamental frequency, Damping ratio

CLC Number: