Nonlinear Augmented Proportional Navigation for Midrange Rendezvous Guidance and Performance Assessment

Guidance systems are important to autonomous rendezvous with uncooperative targets such as an active debris removal (ADR) mission. A novel guidance frame is established in rotating line-of-sight (LOS) coordinates, which resolves the coupling effect between pitch and yaw planes in a general 3D scenar...

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Main Authors: Weilin Wang, Xumin Song
Format: Article
Language:English
Published: Hindawi Limited 2019-01-01
Series:International Journal of Aerospace Engineering
Online Access:http://dx.doi.org/10.1155/2019/1725629
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spelling doaj-7df71221dfc04da0bf8d35482842c2812020-11-25T01:39:02ZengHindawi LimitedInternational Journal of Aerospace Engineering1687-59661687-59742019-01-01201910.1155/2019/17256291725629Nonlinear Augmented Proportional Navigation for Midrange Rendezvous Guidance and Performance AssessmentWeilin Wang0Xumin Song1Space Engineering University, Beijing 100014, ChinaSpace Engineering University, Beijing 100014, ChinaGuidance systems are important to autonomous rendezvous with uncooperative targets such as an active debris removal (ADR) mission. A novel guidance frame is established in rotating line-of-sight (LOS) coordinates, which resolves the coupling effect between pitch and yaw planes in a general 3D scenario. The guidance law is named augmented proportional navigation (APN) by applying nonlinear control along LOS and classical proportional navigation normal to LOS. As saving time is a critical factor in space rescue and on-orbit service, the finite time convergence APN (FTCAPN) is further proposed which proves to possess convergence and high robustness. This paper builds on previous efforts in polynomial chaos expansion (PCE) to develop an efficient analysis technique for guidance algorithms. A large scope of uncertainty sources are considered to make state evaluation trustworthy and provide precise prediction of trajectory bias. The simulation results show that the accuracy of the proposed method is compatible with Monte Carlo simulation which requires extensive computational effort.http://dx.doi.org/10.1155/2019/1725629
collection DOAJ
language English
format Article
sources DOAJ
author Weilin Wang
Xumin Song
spellingShingle Weilin Wang
Xumin Song
Nonlinear Augmented Proportional Navigation for Midrange Rendezvous Guidance and Performance Assessment
International Journal of Aerospace Engineering
author_facet Weilin Wang
Xumin Song
author_sort Weilin Wang
title Nonlinear Augmented Proportional Navigation for Midrange Rendezvous Guidance and Performance Assessment
title_short Nonlinear Augmented Proportional Navigation for Midrange Rendezvous Guidance and Performance Assessment
title_full Nonlinear Augmented Proportional Navigation for Midrange Rendezvous Guidance and Performance Assessment
title_fullStr Nonlinear Augmented Proportional Navigation for Midrange Rendezvous Guidance and Performance Assessment
title_full_unstemmed Nonlinear Augmented Proportional Navigation for Midrange Rendezvous Guidance and Performance Assessment
title_sort nonlinear augmented proportional navigation for midrange rendezvous guidance and performance assessment
publisher Hindawi Limited
series International Journal of Aerospace Engineering
issn 1687-5966
1687-5974
publishDate 2019-01-01
description Guidance systems are important to autonomous rendezvous with uncooperative targets such as an active debris removal (ADR) mission. A novel guidance frame is established in rotating line-of-sight (LOS) coordinates, which resolves the coupling effect between pitch and yaw planes in a general 3D scenario. The guidance law is named augmented proportional navigation (APN) by applying nonlinear control along LOS and classical proportional navigation normal to LOS. As saving time is a critical factor in space rescue and on-orbit service, the finite time convergence APN (FTCAPN) is further proposed which proves to possess convergence and high robustness. This paper builds on previous efforts in polynomial chaos expansion (PCE) to develop an efficient analysis technique for guidance algorithms. A large scope of uncertainty sources are considered to make state evaluation trustworthy and provide precise prediction of trajectory bias. The simulation results show that the accuracy of the proposed method is compatible with Monte Carlo simulation which requires extensive computational effort.
url http://dx.doi.org/10.1155/2019/1725629
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AT xuminsong nonlinearaugmentedproportionalnavigationformidrangerendezvousguidanceandperformanceassessment
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