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Pso algorithm for planetary atmosphere entry vehicles multidisciplinary guidance design

Lavagna, M, Parigini, C and Armellin, R (2006) Pso algorithm for planetary atmosphere entry vehicles multidisciplinary guidance design In: AIAA/AAS Astrodynamics Specialist Conference and Exhibit, 2012, 2012-08-21 - 2012-08-24, Keystone, U.S.A..

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Abstract

The paper presents a possible approach to define - within the same global optimization the guidance history and the configuration of each different flight regime an atmospheric Entry-Descent-Landing (EDL) vehicle has to deal with. Precision landing constraints as well as inertial and thermal loads containment are considered. The optimization is focused on detecting a set of possible preliminary solutions to be further investigated by a local finer optimizer. A partially revisited Particle Swarm Optimization technique has been here successfully applied to deal with both a multiobjective and distributed optimization architecture specifically thought to cope with the complexity of the proposed problem. The proposed approach turned out to be powerful in identifying, quite rapidly, a set of feasible good solutions both from the guidance and the configuration point of view for each of the aerodynamics phases the probe goes through.

Item Type: Conference or Workshop Item (Conference Paper)
Subjects : Electronic Engineering
Divisions : Faculty of Engineering and Physical Sciences > Electronic Engineering
Authors :
NameEmailORCID
Lavagna, MUNSPECIFIEDUNSPECIFIED
Parigini, CUNSPECIFIEDUNSPECIFIED
Armellin, RUNSPECIFIEDUNSPECIFIED
Date : 1 December 2006
Identification Number : 10.2514/6.2006-6027
Copyright Disclaimer : Copyright © 2006 by the American Institute of Aeronautics and Astronautics, Inc. All rights reserved.
Contributors :
ContributionNameEmailORCID
http://www.loc.gov/loc.terms/relators/PBLAmerican Institute of Aeronautics and Astronautics, UNSPECIFIEDUNSPECIFIED
Depositing User : Symplectic Elements
Date Deposited : 12 Dec 2016 14:08
Last Modified : 31 Oct 2017 19:00
URI: http://epubs.surrey.ac.uk/id/eprint/813099

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