On-Orbit Servicing and Active Debris Removal

Author(s):  
Martin J. Losekamm

This chapter introduces the challenge of space debris and the concepts of on-orbit servicing and active debris removal. The evolution of the debris population is put into a historical perspective, observation and modelling methods are described, and internationally agreed mitigation strategies are briefly introduced. Proposed mission types and the required technologies for servicing and removal activities are detailed and their challenges explained. Where applicable, past, current, and proposed activities are summarized to illustrate the concepts.

Author(s):  
Jae-Dong Seong ◽  
Hae-Dong Kim ◽  
Ha-Yeon Choi

In a preparatory study conducted prior to the development of an active space debris removal system, a method for selecting target debris based on information such as the cumulative collision probability, the operational condition of objects, and their sizes and launch dates was developed for use in the protection of four Korea Multi-Purpose Satellite constellation satellites. This method can be used to select candidate removal targets. Two-line element data are used to identify threatening objects with high cumulative collision probability. Using information in the Satellite Catalog database, objects smaller than a certain size or objects that are currently operational were excluded from the selection range. The results of an analysis of the cumulative collision probability, object size, object type, and primary mission information showed that the COSMOS 1328, COSMOS 1862, COSMOS 375, and COSMOS 1606 satellites were suitable targets for an active debris removal mission.


Robotics ◽  
2019 ◽  
Vol 8 (2) ◽  
pp. 34 ◽  
Author(s):  
Ellery

Space-based manipulators have traditionally been tasked with robotic on-orbit servicing or assembly functions, but active debris removal has become a more urgent application. We present a much-needed tutorial review of many of the robotics aspects of active debris removal informed by activities in on-orbit servicing. We begin with a cursory review of on-orbit servicing manipulators followed by a short review on the space debris problem. Following brief consideration of the time delay problems in teleoperation, the meat of the paper explores the field of space robotics regarding the kinematics, dynamics and control of manipulators mounted onto spacecraft. The core of the issue concerns the spacecraft mounting which reacts in response to the motion of the manipulator. We favour the implementation of spacecraft attitude stabilisation to ease some of the computational issues that will become critical as increasing level of autonomy are implemented. We review issues concerned with physical manipulation and the problem of multiple arm operations. We conclude that space robotics is well-developed and sufficiently mature to tackling tasks such as active debris removal.


Author(s):  
Stefania Tonetti ◽  
Stefania Cornara ◽  
Martina Faenza ◽  
Onno Verberne ◽  
Tobias Langener ◽  
...  

Author(s):  
Özgün Yılmaz ◽  
Nabil Aouf ◽  
Elena Checa ◽  
Laurent Majewski ◽  
Manuel Sanchez-Gestido

In space, visual-based relative navigation systems suffer from dynamic illumination conditions of the target (eclipse conditions, solar glare, etc.) where most of these issues are addressed by advanced mission planning techniques. However, such planning would not be always feasible or even if it is, it would not be straightforward for active debris removal missions. On the other hand, using an infrared-based system would overcome this problem, if a guideline to predict infrared signature of space debris based on the target thermal profile could be provided for algorithm design and testing. Spacecraft thermal design is unique to every platform. This means every active debris removal target will have a different infrared signature, which changes over time not just only due to orbital dynamics but also due to its thermal surface coatings. In order to provide a space debris infrared signature guideline for most of the possible active debris removal targets, we introduce an innovative grouping system for thermal surface coatings based on their behaviour in space environment. Through the use of this grouping system, we propose a space debris infrared signature estimation method, which was extensively verified by our simulations and experiments. During our verifications, we have also discovered very important problem so-called ‘signature ambiguity’ that is unique to infrared-based active debris removal systems, which we have also discussed in our work.


2020 ◽  
Vol 29 (1) ◽  
pp. 94-106
Author(s):  
Chongyuan Hou ◽  
Yuan Yang ◽  
Yikang Yang ◽  
Kaizhong Yang ◽  
Xiao Zhang ◽  
...  

AbstractThe increase in space debris orbiting Earth is a critical problem for future space missions. Space debris removal has thus become an area of interest, and significant research progress is being made in this field. However, the exorbitant cost of space debris removal missions is a major concern for commercial space companies. We therefore propose the debris removal using electromagnetic launcher (DREL) system, a ground-based electromagnetic launch system (railgun), for space debris removal missions. The DREL system has three components: a ground-based electromagnetic launcher (GEML), suborbital vehicle (SOV), and mass of micrometer-scale dust (MSD) particles. The average cost of removing a piece of low-earth orbit space debris using DREL was found to be approximately USD 160,000. The DREL method is thus shown to be economical; the total cost to remove more than 2,000 pieces of debris in a cluster was only approximately USD 400 million, compared to the millions of dollars required to remove just one or two pieces of debris using a conventional space debris removal mission. By using DREL, the cost of entering space is negligible, thereby enabling countries to remove their space debris in an affordable manner.


2021 ◽  
pp. 1-9
Author(s):  
Yusuke Oki ◽  
Hiroyuki Okamoto ◽  
Takahiro Sasaki ◽  
Toru Yamamoto ◽  
Keiichi Wada

2021 ◽  
Author(s):  
Han Peixian ◽  
JunLi Guo ◽  
QIHONG BAO ◽  
Tao Qin ◽  
ren ge ◽  
...  

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