多通道鲁棒故障卫星参数估计算法

Xianghao Hou; Jianping Yuan

doi:10.1051/jnwpu/20183650911

多通道鲁棒故障卫星参数估计算法

Translated title of the contribution: Multichannel Robust Parameters Estimation for Disabled Satellites

Xianghao Hou
, Jianping Yuan

School of Astronautics

Northwestern Polytechnical University Xian

Research output: Contribution to journal › Article › peer-review

Abstract

Based on the dual vector quaternions, this paper modeled both the kinematics and dynamics of the disabled satellites. In addition, considering the complex space environment may lead to the measurements failure of the target, a novel robust federal Kalman filter based algorithm (DVQ-REKF) is proposed by this paper. By utilizing the designed algorithm, both the pose and inertial parameters can be estimated in the same time when the measurements by each of the monocular camera on the service satellite failed for a certain period of time. Finally, the simulation shows the validity of the designed DVQ-REKF.

Translated title of the contribution	Multichannel Robust Parameters Estimation for Disabled Satellites
Original language	Chinese (Traditional)
Pages (from-to)	911-918
Number of pages	8
Journal	Xibei Gongye Daxue Xuebao/Journal of Northwestern Polytechnical University
Volume	36
Issue number	5
DOIs	https://doi.org/10.1051/jnwpu/20183650911
State	Published - 1 Oct 2018

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title = "多通道鲁棒故障卫星参数估计算法",

abstract = "Based on the dual vector quaternions, this paper modeled both the kinematics and dynamics of the disabled satellites. In addition, considering the complex space environment may lead to the measurements failure of the target, a novel robust federal Kalman filter based algorithm (DVQ-REKF) is proposed by this paper. By utilizing the designed algorithm, both the pose and inertial parameters can be estimated in the same time when the measurements by each of the monocular camera on the service satellite failed for a certain period of time. Finally, the simulation shows the validity of the designed DVQ-REKF.",

keywords = "Dual vector quaternions, Federal Kalman filter, On orbit servicing, Robust Kalman filter",

author = "Xianghao Hou and Jianping Yuan",

year = "2018",

month = oct,

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doi = "10.1051/jnwpu/20183650911",

language = "繁体中文",

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pages = "911--918",

journal = "Xibei Gongye Daxue Xuebao/Journal of Northwestern Polytechnical University",

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TY - JOUR

T1 - 多通道鲁棒故障卫星参数估计算法

AU - Hou, Xianghao

AU - Yuan, Jianping

PY - 2018/10/1

Y1 - 2018/10/1

N2 - Based on the dual vector quaternions, this paper modeled both the kinematics and dynamics of the disabled satellites. In addition, considering the complex space environment may lead to the measurements failure of the target, a novel robust federal Kalman filter based algorithm (DVQ-REKF) is proposed by this paper. By utilizing the designed algorithm, both the pose and inertial parameters can be estimated in the same time when the measurements by each of the monocular camera on the service satellite failed for a certain period of time. Finally, the simulation shows the validity of the designed DVQ-REKF.

AB - Based on the dual vector quaternions, this paper modeled both the kinematics and dynamics of the disabled satellites. In addition, considering the complex space environment may lead to the measurements failure of the target, a novel robust federal Kalman filter based algorithm (DVQ-REKF) is proposed by this paper. By utilizing the designed algorithm, both the pose and inertial parameters can be estimated in the same time when the measurements by each of the monocular camera on the service satellite failed for a certain period of time. Finally, the simulation shows the validity of the designed DVQ-REKF.

KW - Dual vector quaternions

KW - Federal Kalman filter

KW - On orbit servicing

KW - Robust Kalman filter

UR - https://www.scopus.com/pages/publications/85056611979

U2 - 10.1051/jnwpu/20183650911

DO - 10.1051/jnwpu/20183650911

M3 - 文章

AN - SCOPUS:85056611979

SN - 1000-2758

VL - 36

SP - 911

EP - 918

JO - Xibei Gongye Daxue Xuebao/Journal of Northwestern Polytechnical University

JF - Xibei Gongye Daxue Xuebao/Journal of Northwestern Polytechnical University

IS - 5

ER -

多通道鲁棒故障卫星参数估计算法

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