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Attitude Optimization Control Method of Agile Optical Small Satellite for Nonparallel Ground Track Imaging

  • Control Theory and Applications
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Abstract

Nonparallel ground track imaging of optical remote sensing satellite is an efficient imaging mode which could realize one-time transit imaging of complex observation tasks due to its fast and flexible imaging capability, and has attracted more attentions in the earth observation field recently. In this paper, an off-line attitude trajectory planning and on-line moving horizon attitude tracking control scheme based on optimal control idea is designed to satisfy the imaging requirement of high-performance attitude control oriented to nonparallel ground track imaging. Considering the entire satellite attitude adjustment of the drift angle, based on the geometric relationship of sapce vectors and the coordinate transformation principle, the three-axis attitude calculation of the precise pointing of key feature targets in the interested ground curve strip is conducted. Taking the attitude orientation as the constraint, the pseudospectral method is used following the established agile satellite control model to design the optimal trajectory of the attitude manever and the feedforward control torque of actuator for nonparallel ground track imaging. A moving horizon tracking control law based on the nonlinear error control model is designed to realize the high-precision attitude tracking control. The feasibility and effectiveness of the proposed control scheme are illustrated by numerical and imaging simulations.

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Authors and Affiliations

  1. College of Instrumentation and Electrical Engineering, Jilin University, No. 2699 Qianjin street, Changchun city, China

    Guo-Wei Fan, Xue-Ying Lv, Ying Song, Huan-Yu Zhao & Liu Zhang

Authors
  1. Guo-Wei Fan
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  2. Xue-Ying Lv
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  3. Ying Song
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  4. Huan-Yu Zhao
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  5. Liu Zhang
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Corresponding author

Correspondence to Guo-Wei Fan.

Additional information

This work was supported by the National Natural Science Foundation of China (Grant Nos. 62073151, 62001185, 62073150), Science and Technology Department Fund of Jilin Province (20210101177JC) and Education Department Fund of Jilin Province (JJKH20200985KJ).

Guo-Wei Fan received his M.S. and Ph.D. degrees from Harbin Institute of Technology, in 2008 and 2012, respectively. Now he is an associate professor with the College of Instrumentation and Electrical Engineering, Jilin University. His research interest covers model predictive control, optimal and robust control, and applications in satellite attitude control.

Xue-Ying Lv received her Ph.D. degree from Jilin University in 2020. She is currently a post-doctoral with the College of Instrumentation and Electrical Engineering, Jilin University. Her research interest covers advanced control theory, satellite control, and imaging mode planning.

Ying Song received her M.S. degree from Harbin Institute of Technology in 2009, and received a Ph.D. degree from Changchun Institute of Optics, Fine Mechanics, Fine Mechanics and Physics, Chinese Academy of Sciences, in 2015. Her research interest covers computer software development, imaging simulation system design, and application of remote sensing

Huan-Yu Zhao received his Ph.D. degree from Jilin University in 2018. He is currently an assistant graduate student with the College of Instrumentation and Electrical Engineering, Jilin University. His research interest covers analysis of flexible dynamic characteristics and flexible vibration suppression.

Liu Zhang received his Ph.D. degree from Harbin Institute of Technology in 2007. He is currently a Professor with the College of Instrumentation and Electrical Engineering, Jilin University. His research interest covers new space optical remote sensor and satellite optimal control technology, space optical remote sensing system design, and simulation and application technology.

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Fan, GW., Lv, XY., Song, Y. et al. Attitude Optimization Control Method of Agile Optical Small Satellite for Nonparallel Ground Track Imaging. Int. J. Control Autom. Syst. 20, 2616–2632 (2022). https://doi.org/10.1007/s12555-021-0292-9

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  • DOI: https://doi.org/10.1007/s12555-021-0292-9

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