A high-order fully actuated predictive control approach for spacecraft flying-around

Da-Wei Zhang and Guo-Ping Liu

International Journal of Systems Science, 2024, vol. 55, issue 12, 2556-2569

Abstract: Under the framework of high-order fully actuated (HOFA) system theory, this study investigates a spacecraft flying-around problem in a sight coordinate system. In this sight coordinate system, a nonlinear HOFA system model is applied to establish the relative dynamics of spacecraft flying-around, such that the presented flying-around mission can be transformed into a tracking control problem of nonlinear HOFA systems. A HOFA predictive control approach is correspondingly proposed to deal with this problem. Concretely, the nonlinearities can be eliminated to construct a linear HOFA system by utilising full actuation characteristic, and then a linear incremental HOFA (LIHOFA) prediction model is constructed by applying a Diophantine equation to replace a reduced-order prediction model. Based on this LIHOFA prediction model, multi-step ahead predictions are developed to optimise the tracking control performance, so that the realisation of the presented flying-around mission can be guaranteed. A sufficient and necessary condition is derived in the in-depth discussion to maintain the stability and tracking control performance of closed-loop systems. Furthermore, numerical simulation and comparison about spacecraft flying-around in circular and elliptical orbits are provided to verify the feasibility of the HOFA predictive control approach. To highlight its practicability, an experimental verification via air-bearing spacecraft (ABS) simulator is shown for the implementation of flying-around mission.

Date: 2024
References: Add references at CitEc
Citations:

Downloads: (external link)
http://hdl.handle.net/10.1080/00207721.2024.2315223 (text/html)
Access to full text is restricted to subscribers.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:taf:tsysxx:v:55:y:2024:i:12:p:2556-2569

Ordering information: This journal article can be ordered from
http://www.tandfonline.com/pricing/journal/TSYS20

DOI: 10.1080/00207721.2024.2315223

Access Statistics for this article

International Journal of Systems Science is currently edited by Visakan Kadirkamanathan

More articles in International Journal of Systems Science from Taylor & Francis Journals
Bibliographic data for series maintained by Chris Longhurst ().