一种改进的航天器时变模态参数递推辨识方法
An Improved Recursive Identification Method for Time-Varying Modal Parameters of Spacecraft
查看参考文献16篇
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文摘
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针对基于预测器的递推子空间辨识(RPBSID)方法在估计系统的状态变量时计算量较大的问题,提出一种改进的RPBSID方法并应用于航天器的时变模态参数辨识。与原算法相比,改进后的方法在求解状态量时不需要逐个时刻构建相应的Hankel矩阵,而是利用仿射投影算法(APA)实现状态量的递推估计,从而减少了辨识过程中的数据量。在此基础上,利用该状态变量递推得到时变系统的状态空间模型和模态参数。在数值仿真中,建立带有大型挠性附件的卫星动力学模型,分别考虑系统模态参数线性变化、突变和周期改变的情况,利用改进的RPBSID方法对结构的时变频率和阻尼比等参数进行了辨识。理论分析和数值仿真的结果表明这种改进的方法不仅能够有效地辨识系统的时变模态参数,而且与原方法相比具有更高的计算效率。 |
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其他语种文摘
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The recursive predictor-based subspace identification (RPBSID) algorithm bears heavy computation burden in estimating the system state variables. In this paper, an improved RPBSID method is presented and applied to identify time-varying modal parameters of the spacecraft. Compared with the original algorithm, it does not need to construct the corresponding Hankel matrix in each time instant for the improved method when solving the state variables. The affine projection algorithm (APA) is used to implement recursive estimation of the state variables, thereby reducing the amounts of data in the identification process. Moreover, the state-space model and corresponding modal parameters of the time-varying system are determined recursively by the identified state variable. In the numerical simulation, the dynamics model of a satellite with large flexible appendages is established. Three cases that may factors the modal parameters to vary with time, such as the linear variation, step change and periodical variation are investigated. The improved RPBSID method is applied to identify the structural time-varying frequency and damping ratio parameters. Compared with the original algorithm, the results of the theory analysis and numerical simulation illustrate that the proposed method not only can effectively identify the system time-varying modal parameters, but also features higher computational efficiency. |
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来源
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宇航学报
,2018,39(10):1097-1106 【核心库】
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DOI
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10.3873/j.issn.1000-1328.2018.10.005
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关键词
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模态参数辨识
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大型挠性航天器
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递推子空间方法
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时变系统
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仿射投影算法
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地址
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1.
中国科学院沈阳自动化研究所, 机器人学国家重点实验室, 沈阳, 110016
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大连理工大学航空航天学院, 大连, 116024
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语种
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中文 |
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文献类型
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研究性论文 |
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ISSN
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1000-1328 |
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学科
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系统科学;力学;航天(宇宙航行) |
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基金
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国家自然科学基金
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中国博士后科学基金
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文献收藏号
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CSCD:6355222
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参考文献 共
16
共1页
|
|
1.
Pappa R S. Galileo spacecraft modal identification using an eigensystem realization algorithm.
Journal of the Astronautical Sciences,1985,33(1):542-557
|
被引
2
次
|
|
|
|
|
2.
Juang J. Identification of observer/Kalman filter Markov parameters: Theory and experiments.
Journal of Guidance, Control and Dynamics,1991,16(2):320-329
|
被引
1
次
|
|
|
|
|
3.
Adachi S. On-orbit system identification experiments on Engineering Test Satellite-VI.
Control Engineering Practice,1999,7(7):831-841
|
被引
10
次
|
|
|
|
|
4.
黄龙飞. 变结构航天器动力学特性在轨辨识方法综述.
航天器工程,2015,24(3):100-106
|
被引
4
次
|
|
|
|
|
5.
Entekhabi D. The soil moisture active passive (SMAP) Mission.
Proceedings of the IEEE,2010,98(5):704-716
|
被引
83
次
|
|
|
|
|
6.
Hamada Y. Synthesis of a linearly interpolated gain scheduling controller for large flexible spacecraft ETS-VIII.
Control Engineering Practice,2011,19(6):611-625
|
被引
14
次
|
|
|
|
|
7.
黎康. 仅利用输出信号的挠性航天器模态参数子空间在轨辨识算法.
航天控制,2004,23(3):27-30
|
被引
1
次
|
|
|
|
|
8.
Kasai T. On-orbit system identification experiments of the engineering test Satellite-VIII.
Transactions of the Japan Society for Aeronautical and Space Sciences, Aerospace Technology Japan,2009,7:79-84
|
被引
3
次
|
|
|
|
|
9.
吴小猷. 基于视觉测量的太阳翼模态参数在轨辨识.
空间控制技术与应用,2016,42(3):9-14
|
被引
4
次
|
|
|
|
|
10.
孔宪仁. 用于统计能量分析参数辨识的子空间方法研究.
宇航学报,2011,32(12):2471-2477
|
被引
2
次
|
|
|
|
|
11.
倪智宇. 利用改进TW-API方法在轨辨识挠性航天器时变模态参数.
宇航学报,2015,36(7):769-776
|
被引
6
次
|
|
|
|
|
12.
Houtzager I. Recursive predictor-based subspace identification with application to the real-time closed-loop tracking of flutter.
IEEE Transactions on Control Systems Technology,2012,20(4):934-949
|
被引
14
次
|
|
|
|
|
13.
何骁. 大角度机动下带挠性附件航天器转动惯量在轨辨识.
宇航学报,2017,38(9):927-935
|
被引
5
次
|
|
|
|
|
14.
Ni Z Y. Time-varying modal parameters identification of a spacecraft with rotating flexible appendage by recursive algorithm.
Acta Astronautica,2016,118:49-61
|
被引
3
次
|
|
|
|
|
15.
Shao T G. An affine projection sign algorithm robust against impulsive interferences.
IEEE Signal Processing Letters,2010,17(4):327-330
|
被引
3
次
|
|
|
|
|
16.
Houtzager I. Fast-array Recursive Closed-loop Subspace Model Identification.
IFAC Proceedings of the 15th IFAC Symposium on System Identification,2009
|
被引
1
次
|
|
|
|
|
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