Technical Papers
Jun 28, 2023

Spin-Up and Appointed Time Attitude Control of Tethered Spacecraft for Artificial Gravity

Publication: Journal of Aerospace Engineering
Volume 36, Issue 5

Abstract

This paper investigates an artificial gravity strategy using the spinning tethered spacecraft (STS), which is spun along orbital direction. An appointed-time prescribed performance (ATPP) attitude controller of tethered spacecraft with unknown external disturbance is proposed by backstepping technology. First, the compound thrust control scheme is presented to provide an ideal artificial gravity overload by the centrifugal force on the tether. Then, the novel performance function is devised to ensure the dynamic response of the system but also achieves appointed-time stability. Compared with the traditional disturbance rejection method, an asymmetric barrier function is introduced to suppress unknown disturbances without estimated information. Based on the spin control scheme and the proposed attitude control strategy, the system is proved to be globally uniformly appointed-time stable in the presence of unknown disturbance. Furthermore, applications to the STS are employed to show the effectiveness of the ATPP control approach for artificial gravity.

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Data Availability Statement

Some or all data, models, or code that support the findings of this study are available from the corresponding author upon reasonable request.

Acknowledgments

This work was supported by the National Natural Science Foundation of China (Grant Nos. 61803307 and 62111530051) and the Fundamental Research Funds for the Central Universities of China (Grant No. D5000220031).

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Go to Journal of Aerospace Engineering
Journal of Aerospace Engineering
Volume 36Issue 5September 2023

History

Received: May 22, 2022
Accepted: Apr 27, 2023
Published online: Jun 28, 2023
Published in print: Sep 1, 2023
Discussion open until: Nov 28, 2023

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Ph.D. Candidate, School of Automation, Northwestern Polytechnical Univ., Xi’an 710129, China (corresponding author). ORCID: https://orcid.org/0000-0002-6732-7732. Email: [email protected]
Professor, School of Automation, Northwestern Polytechnical Univ., Xi’an 710129, China. Email: [email protected]
Changqing Wang [email protected]
Professor, School of Automation, Northwestern Polytechnical Univ., Xi’an 710129, China. Email: [email protected]
Ph.D. Candidate, School of Automation, Northwestern Polytechnical Univ., Xi’an 710129, China. Email: [email protected]
Ph.D. Candidate, School of Automation, Northwestern Polytechnical Univ., Xi’an 710129, China. Email: [email protected]

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