Relative motion modeling and control in a perturbed orbit

In this paper, the dynamics of the relative motion problem in a perturbed orbital environment are exploited based on Gauss’ and Cowell’s variational equations. The inertial coordinate frame and relative coordinate frame (Hill frame) are studied to describe the relative motion. A linear high fidelit...

Full description

Bibliographic Details
Main Authors:	Okasha, Mohamed Elsayed Aly Abd Elaziz, Newman, Brett
Format:	Conference or Workshop Item
Language:	English English
Published:	Univelt, Incorporated 2011
Subjects:	TL Motor vehicles. Aeronautics. Astronautics
Online Access:	http://irep.iium.edu.my/38708/ http://irep.iium.edu.my/38708/ http://irep.iium.edu.my/38708/1/AAS_11-211.pdf http://irep.iium.edu.my/38708/4/Final_Program.pdf

id	iium-38708
recordtype	eprints
spelling	iium-387082014-10-23T07:51:18Z http://irep.iium.edu.my/38708/ Relative motion modeling and control in a perturbed orbit Okasha, Mohamed Elsayed Aly Abd Elaziz Newman, Brett TL Motor vehicles. Aeronautics. Astronautics In this paper, the dynamics of the relative motion problem in a perturbed orbital environment are exploited based on Gauss’ and Cowell’s variational equations. The inertial coordinate frame and relative coordinate frame (Hill frame) are studied to describe the relative motion. A linear high fidelity model is developed to describe the relative motion. This model takes into account primary gravitational and atmospheric drag perturbations. In addition, this model is used in the design of a control, guidance, and navigation system of a chaser vehicle to approach towards and to depart form a target vehicle in proximity operations. Relative navigation uses an extended Kalman filter based on this relative model to estimate the relative position and velocity of the chaser vehicle with respect to the target vehicle. This filter uses the range and angle measurements of the target relative to the chaser from a simulated LIDAR system. The corresponding measurement models, process noise matrix, and other filter parameters are provided. Numerical simulations are performed to assess the precision of this model with respect to the full nonlinear model. The analyses include the navigation errors and trajectory dispersions. Univelt, Incorporated 2011-02 Conference or Workshop Item PeerReviewed application/pdf en http://irep.iium.edu.my/38708/1/AAS_11-211.pdf application/pdf en http://irep.iium.edu.my/38708/4/Final_Program.pdf Okasha, Mohamed Elsayed Aly Abd Elaziz and Newman, Brett (2011) Relative motion modeling and control in a perturbed orbit. In: 21st AAS/AIAA Space Flight Mechanics Meeting, 13–17 February 2011, New Orleans, Louisiana. http://www.univelt.com/book=2596
repository_type	Digital Repository
institution_category	Local University
institution	International Islamic University Malaysia
building	IIUM Repository
collection	Online Access
language	English English
topic	TL Motor vehicles. Aeronautics. Astronautics
spellingShingle	TL Motor vehicles. Aeronautics. Astronautics Okasha, Mohamed Elsayed Aly Abd Elaziz Newman, Brett Relative motion modeling and control in a perturbed orbit
description	In this paper, the dynamics of the relative motion problem in a perturbed orbital environment are exploited based on Gauss’ and Cowell’s variational equations. The inertial coordinate frame and relative coordinate frame (Hill frame) are studied to describe the relative motion. A linear high fidelity model is developed to describe the relative motion. This model takes into account primary gravitational and atmospheric drag perturbations. In addition, this model is used in the design of a control, guidance, and navigation system of a chaser vehicle to approach towards and to depart form a target vehicle in proximity operations. Relative navigation uses an extended Kalman filter based on this relative model to estimate the relative position and velocity of the chaser vehicle with respect to the target vehicle. This filter uses the range and angle measurements of the target relative to the chaser from a simulated LIDAR system. The corresponding measurement models, process noise matrix, and other filter parameters are provided. Numerical simulations are performed to assess the precision of this model with respect to the full nonlinear model. The analyses include the navigation errors and trajectory dispersions.
format	Conference or Workshop Item
author	Okasha, Mohamed Elsayed Aly Abd Elaziz Newman, Brett
author_facet	Okasha, Mohamed Elsayed Aly Abd Elaziz Newman, Brett
author_sort	Okasha, Mohamed Elsayed Aly Abd Elaziz
title	Relative motion modeling and control in a perturbed orbit
title_short	Relative motion modeling and control in a perturbed orbit
title_full	Relative motion modeling and control in a perturbed orbit
title_fullStr	Relative motion modeling and control in a perturbed orbit
title_full_unstemmed	Relative motion modeling and control in a perturbed orbit
title_sort	relative motion modeling and control in a perturbed orbit
publisher	Univelt, Incorporated
publishDate	2011
url	http://irep.iium.edu.my/38708/ http://irep.iium.edu.my/38708/ http://irep.iium.edu.my/38708/1/AAS_11-211.pdf http://irep.iium.edu.my/38708/4/Final_Program.pdf
first_indexed	2023-09-18T20:55:38Z
last_indexed	2023-09-18T20:55:38Z
_version_	1777410285281214464

Relative motion modeling and control in a perturbed orbit

Similar Items