Decentralized State Estimation Algorithm of Centralized Equivalent Precision for Formation Flying Spacecrafts Based on Junction Tree

As centralized state estimation algorithms for formation flying spacecraft would suffer from high computational burdens when the scale of the formation increases, it is necessary to develop decentralized algorithms. To the state of the art, most decentralized algorithms for formation flying are deri...

Full description

Saved in:
Bibliographic Details
Main Authors: Mengyuan Dai, Hua Mu, Meiping Wu, Zhiwen Xian
Format: Article
Language:English
Published: Wiley 2015-01-01
Series:International Journal of Aerospace Engineering
Online Access:http://dx.doi.org/10.1155/2015/714302
Tags: Add Tag
No Tags, Be the first to tag this record!
_version_ 1832562142774034432
author Mengyuan Dai
Hua Mu
Meiping Wu
Zhiwen Xian
author_facet Mengyuan Dai
Hua Mu
Meiping Wu
Zhiwen Xian
author_sort Mengyuan Dai
collection DOAJ
description As centralized state estimation algorithms for formation flying spacecraft would suffer from high computational burdens when the scale of the formation increases, it is necessary to develop decentralized algorithms. To the state of the art, most decentralized algorithms for formation flying are derived from centralized EKF by simplification and decoupling, rendering suboptimal estimations. In this paper, typical decentralized state estimation algorithms are reviewed, and a new scheme for decentralized algorithms is proposed. In the new solution, the system is modeled as a dynamic Bayesian network (DBN). A probabilistic graphical method named junction tree (JT) is used to analyze the hidden distributed structure of the DBNs. Inference on JT is a decentralized form of centralized Bayesian estimation (BE), which is a modularized three-step procedure of receiving messages, collecting evidences, and generating messages. As KF is a special case of BE, the new solution based on JT is equivalent in precision to centralized KF in theory. A cooperative navigation example of a three-satellite formation is used to test the decentralized algorithms. Simulation results indicate that JT has the best precision among all current decentralized algorithms.
format Article
id doaj-art-f5b7e12145234b9488cfaae6c3422b50
institution Kabale University
issn 1687-5966
1687-5974
language English
publishDate 2015-01-01
publisher Wiley
record_format Article
series International Journal of Aerospace Engineering
spelling doaj-art-f5b7e12145234b9488cfaae6c3422b502025-02-03T01:23:25ZengWileyInternational Journal of Aerospace Engineering1687-59661687-59742015-01-01201510.1155/2015/714302714302Decentralized State Estimation Algorithm of Centralized Equivalent Precision for Formation Flying Spacecrafts Based on Junction TreeMengyuan Dai0Hua Mu1Meiping Wu2Zhiwen Xian3College of Mechatronics Engineering and Automation, National University of Defense Technology, No. 109, Deya Street, Changsha, Hunan 410073, ChinaCollege of Mechatronics Engineering and Automation, National University of Defense Technology, No. 109, Deya Street, Changsha, Hunan 410073, ChinaCollege of Mechatronics Engineering and Automation, National University of Defense Technology, No. 109, Deya Street, Changsha, Hunan 410073, ChinaCollege of Mechatronics Engineering and Automation, National University of Defense Technology, No. 109, Deya Street, Changsha, Hunan 410073, ChinaAs centralized state estimation algorithms for formation flying spacecraft would suffer from high computational burdens when the scale of the formation increases, it is necessary to develop decentralized algorithms. To the state of the art, most decentralized algorithms for formation flying are derived from centralized EKF by simplification and decoupling, rendering suboptimal estimations. In this paper, typical decentralized state estimation algorithms are reviewed, and a new scheme for decentralized algorithms is proposed. In the new solution, the system is modeled as a dynamic Bayesian network (DBN). A probabilistic graphical method named junction tree (JT) is used to analyze the hidden distributed structure of the DBNs. Inference on JT is a decentralized form of centralized Bayesian estimation (BE), which is a modularized three-step procedure of receiving messages, collecting evidences, and generating messages. As KF is a special case of BE, the new solution based on JT is equivalent in precision to centralized KF in theory. A cooperative navigation example of a three-satellite formation is used to test the decentralized algorithms. Simulation results indicate that JT has the best precision among all current decentralized algorithms.http://dx.doi.org/10.1155/2015/714302
spellingShingle Mengyuan Dai
Hua Mu
Meiping Wu
Zhiwen Xian
Decentralized State Estimation Algorithm of Centralized Equivalent Precision for Formation Flying Spacecrafts Based on Junction Tree
International Journal of Aerospace Engineering
title Decentralized State Estimation Algorithm of Centralized Equivalent Precision for Formation Flying Spacecrafts Based on Junction Tree
title_full Decentralized State Estimation Algorithm of Centralized Equivalent Precision for Formation Flying Spacecrafts Based on Junction Tree
title_fullStr Decentralized State Estimation Algorithm of Centralized Equivalent Precision for Formation Flying Spacecrafts Based on Junction Tree
title_full_unstemmed Decentralized State Estimation Algorithm of Centralized Equivalent Precision for Formation Flying Spacecrafts Based on Junction Tree
title_short Decentralized State Estimation Algorithm of Centralized Equivalent Precision for Formation Flying Spacecrafts Based on Junction Tree
title_sort decentralized state estimation algorithm of centralized equivalent precision for formation flying spacecrafts based on junction tree
url http://dx.doi.org/10.1155/2015/714302
work_keys_str_mv AT mengyuandai decentralizedstateestimationalgorithmofcentralizedequivalentprecisionforformationflyingspacecraftsbasedonjunctiontree
AT huamu decentralizedstateestimationalgorithmofcentralizedequivalentprecisionforformationflyingspacecraftsbasedonjunctiontree
AT meipingwu decentralizedstateestimationalgorithmofcentralizedequivalentprecisionforformationflyingspacecraftsbasedonjunctiontree
AT zhiwenxian decentralizedstateestimationalgorithmofcentralizedequivalentprecisionforformationflyingspacecraftsbasedonjunctiontree