Full text
![]() |
PDF
- Users in campus UPM only
- Requires a PDF viewer, such as GSview, Xpdf or Adobe Acrobat Reader
Download (358kB) |
Bombardelli, Claudio and Garcia-Pelayo Novo, Ricardo Angel and Hernando Ayuso, Javier (2014). Collision avoidance maneuver optimization. In: "SpaceFlight Mechanics 2014", 26-30 Ene 2014, Santa Fe, New Mexico (EEUU). ISBN 978-0-87703-611-1. pp. 1857-1870.
Title: | Collision avoidance maneuver optimization |
---|---|
Author/s: |
|
Item Type: | Presentation at Congress or Conference (Article) |
Event Title: | SpaceFlight Mechanics 2014 |
Event Dates: | 26-30 Ene 2014 |
Event Location: | Santa Fe, New Mexico (EEUU) |
Title of Book: | SpaceFlight Mechanics 2014 |
Date: | 2014 |
ISBN: | 978-0-87703-611-1 |
Subjects: | |
Faculty: | E.T.S.I. Aeronáuticos (UPM) |
Department: | Física Aplicada a la Ingeniería Aeronáutica [hasta 2014] |
Creative Commons Licenses: | Recognition - No derivative works - Non commercial |
![]() |
PDF
- Users in campus UPM only
- Requires a PDF viewer, such as GSview, Xpdf or Adobe Acrobat Reader
Download (358kB) |
The paper presents a high accuracy fully analytical formulation to compute the miss distance and collision probability of two approaching objects following an impulsive collision avoidance maneuver. The formulation hinges on a linear relation between the applied impulse and the objects relative motion in the b-plane, which allows to formulate the maneuver optimization problem as an eigenvalue problem. The optimization criterion consists of minimizing the maneuver cost in terms of delta-V magnitude in order to either maximize collision miss distance or to minimize Gaussian collision probability. The algorithm, whose accuracy is verified in representative mission scenarios, can be employed for collision avoidance maneuver planning with reduced computational cost when compared to fully numerical algorithms.
Item ID: | 36911 |
---|---|
DC Identifier: | http://oa.upm.es/36911/ |
OAI Identifier: | oai:oa.upm.es:36911 |
Deposited by: | Memoria Investigacion |
Deposited on: | 27 Jan 2016 11:50 |
Last Modified: | 06 Jun 2016 11:50 |