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一种飞轮微振动特性分级方法 被引量:3

A Classification Method of Flywheel Micro-Vibration Characteristics
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摘要 针对飞轮在工作中伴随输出的宽频微幅振动,运用分位数统计方法建立了飞轮微振动幅值的评估方法和分级标准。首先,基于飞轮的工作转速范围和航天器舱板挠性对微振动的衰减作用,对飞轮微振动瀑布图进行二维加权;其次,利用经验分布对飞轮在缓慢升速过程中的微振动瀑布图的振幅进行下分位数统计,得到任意概率下的飞轮微振动瀑布图;然后,对瀑布图在频率和转速轴进行逐步降维,统计微振动在频率轴和转速轴的振动均方根值,得到了飞轮从三维立体到单个点的多种分级方法。最后,对25个50 Nms飞轮的微振动瀑布图数据进行相应的统计分析,首次建立了飞轮从三维微振动瀑布图到数据点的一系列微振动分级标准(包括Ⅰ至Ⅵ级)。为超静飞轮的研制和筛选奠定了初步的理论和工程基础。 The evaluation method and classification standard are established from the quantile for the broadband microvibration 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 3 D 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.
作者 罗睿智 张激扬 樊亚洪 冯洪伟 姚锐 LUO Rui-zhi;ZHANG Ji-yang;FAN Ya-hong;FENG Hong-wei;YAO Rui(Beijing Institute of Control Engineering, Beijing 100094, China;China Academy of Space Technology, Beijing 100094, China)
出处 《宇航学报》 EI CAS CSCD 北大核心 2017年第12期1324-1330,共7页 Journal of Astronautics
关键词 飞轮 微振动 分位数 分级 经验分布 Flywheel Micro-vibration Quantile Rating Empirical probability distribution
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