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.

Attitude recovery from feature tracking for estimating angular rate of non-cooperative spacecraft / Biondi, Gabriele; Mauro, Stefano; MOHTAR EIZAGA, THAREK MANUEL; Pastorelli, STEFANO PAOLO; Sorli, Massimo. - In: MECHANICAL SYSTEMS AND SIGNAL PROCESSING. - ISSN 0888-3270. - STAMPA. - 83:(2017), pp. 321-336. [10.1016/j.ymssp.2016.06.017]

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

BIONDI, GABRIELE;MAURO, STEFANO;MOHTAR EIZAGA, THAREK MANUEL;PASTORELLI, STEFANO PAOLO;SORLI, Massimo
2017

Abstract

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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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11583/2648030
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