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飞轮微振动与整星耦合特性参数补偿算法研究
引用本文:胡自强,王栋,龚小雪,谭陆洋.飞轮微振动与整星耦合特性参数补偿算法研究[J].光子学报,2020,49(1):69-82.
作者姓名:胡自强  王栋  龚小雪  谭陆洋
作者单位:中国科学院长春光学精密机械与物理研究所,长春 130033;中国科学院大学,北京 100049,中国科学院长春光学精密机械与物理研究所,长春 130033;中国科学院大学,北京 100049;长光卫星技术有限公司,长春 130102,长光卫星技术有限公司,长春 130102,长光卫星技术有限公司,长春 130102
摘    要:为了提高飞轮与整星耦合特性影响成像像移理论预估的精度,提出了一种星上飞轮安装刚度和阻尼参数的数值补偿算法.首先,建立补偿算法数学模型,基于飞轮径向摇摆模态以及线性整星微振动传递函数模型,通过联合飞轮在专用测量平台上的扰振实测数据以及星上安装后所致成像像移实测数据构建优化函数,实现对星上飞轮安装刚度以及阻尼参数的补偿.其次,采用该算法对某型号卫星上的飞轮安装刚度以及阻尼进行了补偿和估计,最后对参数补偿前后的飞轮扰振所致像移分别进行理论预估与对比.对比结果表明:参数补偿后的预估像移数据较补偿前预估像移数据更接近实测像移数据且径向摇摆模态固有频率曲线更加明显,证明此参数补偿算法可行.本研究显著降低了整星微振动分析过程中飞轮在星上安装刚度与测试平台安装刚度不一致所带来的分析误差,为飞轮与整星耦合特性安装等效参数求解提供了一种思路.

关 键 词:飞轮  微振动  补偿算法  安装刚度和阻尼  像移

Parameter Compensation Algorithm of Flywheel Micro-vibration and Whole-satellite Coupling Characteristic
HU Zi-qiang,WANG Dong,GONG Xiao-xue,TAN Lu-yang.Parameter Compensation Algorithm of Flywheel Micro-vibration and Whole-satellite Coupling Characteristic[J].Acta Photonica Sinica,2020,49(1):69-82.
Authors:HU Zi-qiang  WANG Dong  GONG Xiao-xue  TAN Lu-yang
Institution:(Changchun Institute of Optics,Fine Mechanics and Physics,Chinese Academy of Sciences,Changchun 130033,China;University of Chinese Academy of Sciences,Beijing 100049,China;Chang Guang Satellite Technology Co.,Ltd.,Changchun 130102,China)
Abstract:In order to improve the theoretical prediction accuracy of the image motion which is affected by coupling characteristics of the flywheel and the satellite,a numerical compensation algorithm for the stiffness and damping parameters of the on-board flywheel installation is proposed.Firstly,the mathematical model of the compensation algorithm is established.Based on the radial swaying mode of the flywheel and the linear whole-wave micro-vibration transfer function model,and by combining the measured data of disturbances of flywheel on the dedicated measuring platform with jitter-affected image motion data of flywheel installed on the satellite to construct an optimization function to compensate for the installation stiffness and damping parameters of the flywheel on the satellite.Secondly,the algorithm is used to compensate and estimate the stiffness and damping of the flywheel installation in a certain type of satellite.Finally,the theoretical prediction and comparison of the jitter-affected image motion before and after the parameter compensation are carried out.The comparison results show that the estimated image motion data after parameter compensation is closer to the measured image motion data than estimated image motion data after parameter compensation and the radial rocking mode natural frequency curve is more obvious,which proves that this parameter compensation algorithm is feasible.This study significantly reduces the analysis error caused by the inconsistent installation stiffness of the flywheel on the satellite and the installation stiffness of the test platform during the whole-wave micro-vibration analysis,and provides a new idea for solving the equivalent parameters of the coupling characteristics of the flywheel and the satellite.
Keywords:Flywheel  Micro-vibration  Compensation algorithm  Stiffness and damping of installation  Image motion
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