Vision-based Ground Test for Active Debris Removal

Lim, Seongmin; Kim, Hae-Dong; Seong, Jae-Dong

doi:10.5140/jass.2013.30.4.279

Cited by 3 publications

(2 citation statements)

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“…In [7] and [8] two different methods are presented to maintain a target space body in the field of view (FOV) of cameras on a chaser spacecraft after the rendezvous phase. In these studies, estimation of the angular rate is not performed.…”

Section: Introductionmentioning

confidence: 99%

Attitude recovery from feature tracking for estimating angular rate of non-cooperative spacecraft

Biondi

Mauro

Mohtar

et al. 2017

Mechanical Systems and Signal Processing

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This paper presents a fault-tolerant method for estimating the angular rate of uncontrolled bodies in space, such as failed spacecrafts. The bodies are assumed to be free of any sensors; however, a planned mission is assumed to track several features of the object by means of stereo-vision sensors. Tracking bodies in the space environment using these sensors is not, in general, an easy task: obtainable information regarding the attitude of the body is often corrupted or partial.The developed method exploits this partial information to completely recover the attitude of the body using a basis pursuit approach. An unscented Kalman filter can then be used to estimate the angular rate of the body.

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Section: Introductionmentioning

confidence: 99%

Attitude recovery from feature tracking for estimating angular rate of non-cooperative spacecraft

Biondi

Mauro

Mohtar

et al. 2017

Mechanical Systems and Signal Processing

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“…A survey of the most common tracking techniques based on stereovision can be found in [19]. In [20] and [21] two different methods are presented to maintain, after the rendezvous phase, a Target space body into the field of view (FOV) of the cameras on a Chaser spacecraft.…”

mentioning

confidence: 99%

Control of a Noncooperative Approach Maneuver Based on Debris Dynamics Feedback

Corpino

Mauro

Pastorelli

et al. 2018

Journal of Guidance, Control, and Dynamics

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Space Debris removal is a critical issue related to space research. One of the key requirements for a removal mission is the assessment of the target rotational dynamics. Ground observations are not sufficient for reaching the accuracy level required to guide the chaser spacecraft during the capture maneuver. Moreover, the guidance and control strategy for the chaser to approach the target is a critical aspect of such missions. This paper present simulation results of two complementary methods, one for estimating the entire rotational dynamic state of the target, and the other for accurately controlling the approach maneuver. In particular, the information coming from the identification and prediction of the actual motion of the rotation axis of the target is exploited by the second method for aligning the docking interface of the chaser with that axis at the instant of capture. The dynamic estimation is based on Kalman filtering in an original combination with compressive sampling techniques for making the method robust to failures of the observation sensors. The guidance of the chaser is based on a model predictive control law. The combined simulation of the employment of the methods has revealed the feasibility of the global approach. I. .IntroductionNE of the main concerns in the space field is the high number of objects orbiting the Earth in orbits of interest for the accomplishment of scientific and communication missions. Currently, more than 10000 objects bigger than 10 cm take up Low Earth Orbit (LEO) and Geosynchronous Earth Orbit (GEO) [1].

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