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On-orbit identification of time-varying moment of inertia for spacecraft using an improved recursive subspace method
Ni ZY(倪智宇); Liu JG(刘金国); Shen XH(沈昕慧); Chang CG(畅晨光)
作者部门空间自动化技术研究室
会议名称2017 IEEE International Conference on Cybernetics and Intelligent Systems (CIS) and IEEE Conference on Robotics, Automation and Mechatronics (RAM)
会议日期November 19-21, 2017
会议地点Ningbo, China
会议录名称2017 IEEE International Conference on Cybernetics and Intelligent Systems (CIS) and IEEE Conference on Robotics, Automation and Mechatronics (RAM)
出版者IEEE
出版地New York
2017
页码219-224
收录类别EI ; CPCI(ISTP)
EI收录号20182605383034
WOS记录号WOS:000425928100039
产权排序1
ISSN号2326-8239
ISBN号978-1-5386-3135-5
关键词Moment Of Inertia Recursive Subspace Method Time-varying System State-space Model On-orbit Identification
摘要

A large amount of data are required for the recursive predictor-based subspace identification (RPBSID) algorithm when system state vector is estimated. In this paper, an improved RPBSID method is presented and applied to identify the spacecraft time-varying moment of inertia parameters. Comparing with the original RPBSID algorithm, the improved method does not need to construct the corresponding Hankel matrix for each time instant when solving the state vector. The recursive least squares is used to implement the recursive estimation of the state vector, thereby reducing the computation cost of the identification process. Then, the moment of inertia matrix parameters can be determined recursively from the system state-space model by matrix transformation. In numerical simulations, for a spacecraft with flexible appendages, three cases that may cause the moments of inertia to change with time are investigated. The simulation results illustrate that the proposed recursive method can identify the time-varying moment of inertia parameters effectively and has higher computational efficiency than that of classical RPBSID algorithm.

语种英语
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文献类型会议论文
条目标识符http://ir.sia.cn/handle/173321/21315
专题空间自动化技术研究室
通讯作者Ni ZY(倪智宇)
作者单位1.State Key Laboratory of Robotics, Shenyang Institute of Automation, Chinese Academy of Sciences, Shenyang 110016, China
2.School of Mechanical Engineering and Automation, Northeastern University, Shenyang 110819, China
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GB/T 7714
Ni ZY,Liu JG,Shen XH,et al. On-orbit identification of time-varying moment of inertia for spacecraft using an improved recursive subspace method[C]. New York:IEEE,2017:219-224.
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