A brief review on in-orbit refueling projects and critical techniques

Malyh, Daria; Vaulin, Sergey D.; Fedorov, Victor; Peshkov, R. A.; Shalashov, Mikhail

doi:10.1007/s42401-022-00132-2

Cited by 10 publications

(4 citation statements)

References 12 publications

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“…E Stimating the pose of an uncooperative spacecraft is crucial in numerous space missions, such as debris removal [1], on-orbit servicing [2], and assets refueling [3]. In the last two decades, numerous relative navigation systems have been proposed based on LiDARs [4], [5] and cameras [6]- [11].…”

Section: Introductionmentioning

confidence: 99%

Bridging the Domain Gap in Satellite Pose Estimation: A Self-Training Approach Based on Geometrical Constraints

Wang

Chen

Guo

et al. 2024

IEEE Trans. Aerosp. Electron. Syst.

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Recently, unsupervised domain adaptation in satellite pose estimation has gained increasing attention, aiming at alleviating the annotation cost for training deep models. To this end, we propose a self-training framework based on the domain-agnostic geometrical constraints. Specifically, we train a neural network to predict the 2D keypoints of a satellite and then use PnP to estimate the pose. The poses of target samples are regarded as latent variables to formulate the task as a minimization problem. Furthermore, we leverage fine-grained segmentation to tackle the information loss issue caused by abstracting the satellite as sparse keypoints. Finally, we iteratively solve the minimization problem in two steps: pseudo-label generation and network training. Experimental results show that our method adapts well to the target domain. Moreover, our method won the 1st place on the sunlamp task of the second international Satellite Pose Estimation Competition.

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Section: Introductionmentioning

confidence: 99%

Bridging the Domain Gap in Satellite Pose Estimation: A Self-Training Approach Based on Geometrical Constraints

Wang

Chen

Guo

et al. 2024

IEEE Trans. Aerosp. Electron. Syst.

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“…consequences [1,2]. The urgency of addressing this escalating challenge has prompted the imperative to develop efficient and reliable non-cooperative target capture techniques as a paramount priority in space exploration [3]. Traditionally, capturing objects in space has been achieved using a variety of techniques, ranging from robotic arms to specialized docking mechanisms.…”

Section: Introductionmentioning

confidence: 99%

Bioinspired flexible gripper for vacuum non-cooperative target capture

Xia,

Sai,

et al. 2024

Smart Mater. Struct.

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With the development of space exploration activities, the proliferation of non-cooperative targets in space, such as defunct satellites and space debris, has made the development of efficient and reliable non-cooperative target capture technologies in space a priority for space exploration. In this paper, a flexible gripper inspired by the dermo-muscular sac found in flatworms is presented to address the challenges of non-cooperative target capture in the vacuum environment of space. The gripper design leverages magnetorheological fluid (MRF) and a magnetic field to enable adjustable stiffness, facilitating the effective grasping of delicate target objects while ensuring a stable connection post-capture. Extensive tests demonstrate the strong potential of the gripper for space applications, showcasing its ability to adjust pre-grip contact force and increase gripping force by adjusting indentation depth. The simplicity of the design contributes to ease of manufacturing, making it a promising tool for future space missions.

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“…On-Orbit-Servicing (OOS) missions such as in-orbit refueling, in-orbit maintenance 1 , active debris removal 2 , 3 , and on-orbit assembly will occupy a unique position in the future of the space economy. This fact provided sufficient motivation to pass the academic research phase and enter the implementation stage.…”

Section: Introductionmentioning

confidence: 99%

Nonlinear adaptive pose motion control of a servicer spacecraft in approximation with an accelerated tumbling target

Kasiri,

Fani Saberi

2024

Sci Rep

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Removing a limited number of large debris can significantly reduce space debris risks. These bodies are generally exposed to extreme environmental disturbance torques or consecutive accidents due to their large wet area, which causes them to experience accelerated high-rate tumbling motion. The existing literature has adequately explored the approximation operations with non-cooperative targets exhibiting 3-axis tumbling motion. However, the research gap lies in the lack of attention given to addressing this approximation for targets undergoing accelerated motion. Agile, accurate, and large-angle maneuvers are three common necessities for safely capturing such targets. Changes in the moment of inertia brought on by fuel slushing cannot be disregarded during such a maneuver. To deal with nonlinearities, adverse coupling effects, actuator saturation constraints, time-varying moment of inertia, and external disturbances that worsen during accelerated agile large-angle maneuvers, a novel adaptive control approach is developed in this paper. The controller's main advantage is its adjustable desired acceleration, which maintains its performance even when dealing with accelerated motion. The control law is directly synthesized from the nonlinear relative equations of motion, without any linearization or simplification of the system dynamics, making it robust to a variety of orbital elements and target behaviors. Adaptation laws are extracted from the Lyapunov stability theorem in a way that guarantees asymptotic stability. Moreover, control actuator roles (delay, saturation, and allocation) are accounted for in modeling and simulation. Finally, a comprehensive numerical simulation based on three different realistic and strict scenarios is carried out to demonstrate the effectiveness and performance of the proposed control approach. The controller's robustness against time-varying dynamic parameters (sharp and sudden change, smooth and slow change, and periodic change) is extensively demonstrated through simulation.

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A brief review on in-orbit refueling projects and critical techniques

Cited by 10 publications

References 12 publications

Bridging the Domain Gap in Satellite Pose Estimation: A Self-Training Approach Based on Geometrical Constraints

Bridging the Domain Gap in Satellite Pose Estimation: A Self-Training Approach Based on Geometrical Constraints

Bioinspired flexible gripper for vacuum non-cooperative target capture

Nonlinear adaptive pose motion control of a servicer spacecraft in approximation with an accelerated tumbling target

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