Multidisciplinary Optimization of Aerocapture Maneuvers

Armellin, R and Lavagna, M (2008) Multidisciplinary Optimization of Aerocapture Maneuvers Journal of Artificial Evolution and Applications, 2008.

Preview	Text Multidisciplinary Optimization of Aerocapture Maneuvers.pdf - Version of Record Available under License Creative Commons Attribution. Download (2MB) | Preview
Preview	Text (licence) SRI_deposit_agreement.pdf Available under License : See the attached licence file. Download (33kB) | Preview

Abstract

A multidisciplinary-multiobjective optimization of aerocapture maneuvers is presented. The proposed approach allows a detailed analysis of the coupling among vehicle's shape, trajectory control, and thermal protection system design. A set of simplified models are developed to address this analysis and a multiobjective particle swarm optimizer is adopted to obtain the set of Pareto optimal solutions. In order to deal with an unconstrained multiobjective optimization, a two-point boundary value problem is formulated to implicitly satisfy the constraints on the atmospheric exit conditions. The trajectories of the most promising solutions are further optimized in a more refined dynamical system by solving an optimal control problem using a direct multiple shooting transcription method. Furthermore, a more complete vehicle control is considered. All the simulations presented consider an aerocapture at Mars with a polar orbit of 200 km of altitude as target orbit.

Item Type:	Article
Subjects :	Electronic Engineering
Divisions :	Faculty of Engineering and Physical Sciences > Electronic Engineering
Authors :	Armellin, R and Lavagna, M
Date :	2008
DOI :	10.1155/2008/248798
Copyright Disclaimer :	Copyright © 2008 R. Armellin and M. Lavagna. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Depositing User :	Symplectic Elements
Date Deposited :	05 Jan 2017 09:45
Last Modified :	06 Jul 2019 05:16
URI:	http://epubs.surrey.ac.uk/id/eprint/813201

Actions (login required)

View Item

Downloads