Journal of Astronautics ›› 2017, Vol. 38 ›› Issue (12): 1324-1330.doi: 10.3873/j.issn.1000-1328.2017.12.009

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A Classification Method of Flywheel Micro Vibration Characteristics

LUO Rui zhi, ZHANG Ji yang, FAN Ya hong, FENG Hong wei,YAO Rui   

  1. 1. Beijing Institute of Control Engineering, Beijing 100094, China; 2. China Academy of Space Technology, Beijing 100094, China
  • Received:2017-03-22 Revised:2017-08-28 Online:2017-12-15 Published:2017-12-25

Abstract:

The evaluation method and classification standard are established from the quantile for the broadband micro-vibration that the flywheels output to the spacecraft such as satellite in their rotations. Firstly, two dimensional weights are performed to the micro-vibration waterfall combining with the working speed range of the flywheel and the damping of the flexible spacecraft plate. Secondly, the empirical probability distribution is used to calculate the quantile of the amplitude at each grid point of the micro-vibration waterfall in the slow speed increasing process. Thus the micro-vibration waterfall of the flywheel can be obtained at any probability. Thirdly, the dimensions are gradually reduced in frequency and speed dimensions. The root mean square values of the vibration in frequency axis and speed axis are respectively compiled by statistics. The multidimensional classification criteria of the flywheel are obtained. Finally, the statistics is performed based on the micro-vibration waterfall data from 25 flywheels whose angular momentum are 50 Nms. Some classification criteria for the flywheel are obtained from the 3D waterfalls to the data points. The foundation can be laid in the theory and engineering for the development and screening of the ultra quiet flywheel.

Key words: Flywheel, Micro vibration, Quantile, Rating, Empirical probability distribution

CLC Number: