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...

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Main Authors: Okasha, Mohamed Elsayed Aly Abd Elaziz, Newman, Brett
Format: Conference or Workshop Item
Language:English
English
Published: Univelt, Incorporated 2011
Subjects:
Online Access:http://irep.iium.edu.my/38708/1/AAS_11-211.pdf
http://irep.iium.edu.my/38708/4/Final_Program.pdf
http://irep.iium.edu.my/38708/
http://www.univelt.com/book=2596
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spelling my.iium.irep.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 REM 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
institution Universiti Islam Antarabangsa Malaysia
building IIUM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider International Islamic University Malaysia
content_source IIUM Repository (IREP)
url_provider http://irep.iium.edu.my/
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/38708/1/AAS_11-211.pdf
http://irep.iium.edu.my/38708/4/Final_Program.pdf
http://irep.iium.edu.my/38708/
http://www.univelt.com/book=2596
_version_ 1643611484747464704
score 13.160551