Two-Stage Identification Method for Attitude-Control Models of On-Orbit Satellites

A two-stage identification method was developed for attitude-control models of on-orbit satellites for accurate attitude control. The attitude-control models are based on a generalized attitude model (GAM) and its corresponding noise model (NM). These are both low order models which are able to char...

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Published inTsinghua science and technology Vol. 15; no. 3; pp. 319 - 324
Main Author 耿立辉 萧德云 王乾 张涛 宋靖雁
Format Journal Article
LanguageEnglish
Published Elsevier Ltd 01.06.2010
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ISSN1007-0214
1878-7606
1007-0214
DOI10.1016/S1007-0214(10)70068-7

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Abstract A two-stage identification method was developed for attitude-control models of on-orbit satellites for accurate attitude control. The attitude-control models are based on a generalized attitude model (GAM) and its corresponding noise model (NM). These are both low order models which are able to characterize the main satellite dynamics and the corresponding noise. These low-order attitude-control models facilitate improved controller design and state estimation. This identification approach uses two open-loop identification processes, with higher order auxiliary models used in the estimation for filtering and with the filtered signals used to identify the low order GAM and NM. An identification experiment with a micro-satellite simulator was used to verify the effectiveness of the two-stage identification method.
AbstractList A two-stage identification method was developed for attitude-control models of on-orbit satellites for accurate attitude control. The attitude-control models are based on a generalized attitude model (GAM) and its corresponding noise model (NM). These are both low order models which are able to characterize the main satellite dynamics and the corresponding noise. These low-order attitude-control models facilitate improved controller design and state estimation. This identification approach uses two open-loop identification processes, with higher order auxiliary models used in the estimation for filtering and with the filtered signals used to identify the low order GAM and NM. An identification experiment with a micro-satellite simulator was used to verify the effectiveness of the two-stage identification method.
A two-stage identification method was developed for attitude-control models of on-orbit satellites for accurate attitude control. The attitude-control models are based on a generalized attitude model (GAM) and its corresponding noise model (NM). These are both low order models which are able to characterize the main satellite dynamics and the corresponding noise. These low-order attitude-control models facilitate improved controller design and state estimation. This identification approach uses two open-loop identification processes, with higher order auxiliary models used in the estimation for filtering and with the filtered signals used to identify the low order GAM and NM. An identification experiment with a micro-satellite simulator was used to verify the effectiveness of the two-stage identification method.
Author 耿立辉 萧德云 王乾 张涛 宋靖雁
AuthorAffiliation Department of Automation, Tsinghua University, Beijing 100084, China
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generalized attitude model
two-stage identification method
micro-satellite simulator
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Snippet A two-stage identification method was developed for attitude-control models of on-orbit satellites for accurate attitude control. The attitude-control models...
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SubjectTerms Filtering
Filtration
generalized attitude model
Identification methods
micro-satellite simulator
Noise
on-orbit satellites
Satellites
Space environment
Spacecraft
State estimation
two-stage identification method
低阶模型
卫星姿态
卫星模拟器
在轨卫星
姿态控制
控制模型
新墨西哥州
识别方法
Title Two-Stage Identification Method for Attitude-Control Models of On-Orbit Satellites
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