Real-Time Autonomous Spacecraft Proximity Maneuvers and Docking Using an Adaptive Artificial Potential Field Approach
In an effort to pursue more advanced missions in space, improved on-board trajectory optimization and path (re)planning capabilities are necessary. Over the past decades, numerous missions have pushed the state of the art in autonomous rendezvous and proximity operations (RPOs). Regardless of the mi...
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| Published in | IEEE transactions on control systems technology Vol. 27; no. 6; pp. 2598 - 2605 |
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| Main Authors | , , , |
| Format | Journal Article |
| Language | English |
| Published |
New York
IEEE
01.11.2019
The Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subjects | |
| Online Access | Get full text |
| ISSN | 1063-6536 1558-0865 |
| DOI | 10.1109/TCST.2018.2866963 |
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| Abstract | In an effort to pursue more advanced missions in space, improved on-board trajectory optimization and path (re)planning capabilities are necessary. Over the past decades, numerous missions have pushed the state of the art in autonomous rendezvous and proximity operations (RPOs). Regardless of the mission, any RPO guidance algorithm must be able to react to a dynamic environment while generating a fuel-efficient trajectory. An adaptive artificial potential function (AAPF) guidance exhibiting these properties has been experimentally evaluated on a spacecraft air-bearing test bed and its performance compared to traditional APF and other real-time guidance methods. |
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| AbstractList | In an effort to pursue more advanced missions in space, improved on-board trajectory optimization and path (re)planning capabilities are necessary. Over the past decades, numerous missions have pushed the state of the art in autonomous rendezvous and proximity operations (RPOs). Regardless of the mission, any RPO guidance algorithm must be able to react to a dynamic environment while generating a fuel-efficient trajectory. An adaptive artificial potential function (AAPF) guidance exhibiting these properties has been experimentally evaluated on a spacecraft air-bearing test bed and its performance compared to traditional APF and other real-time guidance methods. |
| Author | Park, Hyeongjun Romano, Marcello Virgili-Llop, Josep Zappulla, Richard |
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| Cites_doi | 10.1016/j.actaastro.2010.08.012 10.2514/1.49449 10.2514/1.58436 10.1109/TMECH.2015.2494607 10.2514/1.G000525 10.2514/1.22092 10.1007/s12567-017-0155-7 10.1016/j.conengprac.2012.03.009 10.1016/j.ast.2007.02.009 10.2514/1.G001631 10.2514/1.G002986 10.1016/j.actaastro.2015.12.018 10.1177/027836498600500106 10.2514/6.2016-5273 10.2514/8.8704 10.2514/3.21375 10.1504/IJMA.2013.055612 10.1109/TASE.2009.2039010 10.1002/rnc.2827 10.2514/1.43563 10.1109/TIE.2016.2609399 10.2514/1.A33769 |
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| References | ref13 zappulla (ref31) 2016 ref12 ref15 zappulla (ref21) 2017 ref14 ref30 henshaw (ref26) 2005 ref33 ref11 ref17 ref16 ref19 ref18 (ref2) 2015 (ref1) 2011 kirk (ref32) 2004 ref23 fields (ref10) 2014 ref25 ref22 muñoz (ref4) 2010 ref28 ref27 ref29 ref8 zagaris (ref24) 2015 ref7 muñoz (ref5) 2011 ref9 ref3 ref6 zappulla (ref20) 2017 |
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| SubjectTerms | Adaptive artificial potential function (AAPF) Adaptive systems Algorithms APF Navigation Potential fields Real time real-time control Real-time systems Rendezvous guidance Space missions Space vehicles Spacecraft docking Spacecraft guidance spacecraft guidance and control Spacecraft maneuvers Trajectory Trajectory optimization Vehicle dynamics |
| Title | Real-Time Autonomous Spacecraft Proximity Maneuvers and Docking Using an Adaptive Artificial Potential Field Approach |
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