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Supervised by Ministry of Industry and Information Technology of The People's Republic of China Sponsored by Harbin Institute of Technology Editor-in-chief Yu Zhou ISSNISSN 1005-9113 CNCN 23-1378/T

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Multi-Feature Fusion Based Relative Pose Adaptive Estimation for On-Orbit Servicing of Non-Cooperative Spacecraft
Author NameAffiliationPostcode
Yunhua Wu* School of Astronautics, Nanjing University of Aeronautics and Astronautics, Nanjing 210016, China 210016
Nan Yang School of Astronautics, Nanjing University of Aeronautics and Astronautics, Nanjing 210016, China 210016
Zhiming Chen School of Astronautics, Nanjing University of Aeronautics and Astronautics, Nanjing 210016, China 210016
Bing Hua School of Astronautics, Nanjing University of Aeronautics and Astronautics, Nanjing 210016, China 210016
Abstract:
On-orbit servicing, such as spacecraft maintenance, on-orbit assembly, refueling, and de-orbiting, can reduce the cost of space missions, improve the performance of spacecraft, and extend its life span. The relative state between the servicing and target spacecraft is vital for on-orbit servicing missions, especially the final approaching stage. The major challenge of this stage is that the observed features of the target are incomplete or are constantly changing due to the short distance and limited Field of View (FOV) of camera. Different from cooperative spacecraft, non-cooperative target does not have artificial feature markers. Therefore, contour features, including triangle supports of solar array, docking ring, and corner points of the spacecraft body, are used as the measuring features. To overcome the drawback of FOV limitation and imaging ambiguity of the camera, a “selfie stick” structure and a self-calibration strategy were implemented, ensuring that part of the contour features could be observed precisely when the two spacecraft approached each other. The observed features were constantly changing as the relative distance shortened. It was difficult to build a unified measurement model for different types of features, including points, line segments, and circle. Therefore, dual quaternion was implemented to model the relative dynamics and measuring features. With the consideration of state uncertainty of the target, a fuzzy adaptive strong tracking filter (FASTF) combining fuzzy logic adaptive controller (FLAC) with strong tracking filter (STF) was designed to robustly estimate the relative states between the servicing spacecraft and the target. Finally, the effectiveness of the strategy was verified by mathematical simulation. The achievement of this research provides a theoretical and technical foundation for future on-orbit servicing missions.
Key words:  on-orbit servicing, non-cooperative spacecraft, multi-feature fusion, fuzzy adaptive filter, dual quaternion
DOI:10.11916/j.issn.1005-9113.19057
Clc Number:V448.2
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