Robust design of a reentry unmanned space vehicle by multifidelity evolution control

Minisci, Edmondo and Vasile, Massimiliano (2013) Robust design of a reentry unmanned space vehicle by multifidelity evolution control. AIAA Journal, 51 (6). pp. 1284-1295. ISSN 0001-1452

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    Abstract

    This paper addresses the preliminary robust design of a small-medium scale re-entry unmanned space vehicle. A hybrid optimization technique is proposed that couples an evolutionary multi-objective algorithm with a direct transcription method for optimal control problems. Uncertainties on the aerodynamic forces and vehicle mass are integrated in the design process and the hybrid algorithm searches for geometries that a) minimize the mean value of the maximum heat flux, b) maximize the mean value of the maximum achievable distance, and c) minimize the variance of the maximum heat flux. The evolutionary part handles the system design parameters of the vehicle and the uncertain functions, while the direct transcription method generates optimal control profiles for the re-entry trajectory of each individual of the population. During the optimization process, artificial neural networks are used to approximate the aerodynamic forces required by the direct transcription method. The artificial neural networks are trained and updated by means of a multi-fidelity, evolution control approach.

    Creators(s): Minisci, Edmondo ORCID logoORCID: https://orcid.org/0000-0001-9951-8528 and Vasile, Massimiliano ORCID logoORCID: https://orcid.org/0000-0001-8302-6465;
    Item type:Article
    ID code:43206
    Notes:(c) All rights reserved.
    Keywords:robust design, multifidelity, surrogate models, re-entry vehicles, evolutionary control, waverider aerodynamics, 2-stage-to-orbit missions, Mechanical engineering and machinery, Motor vehicles. Aeronautics. Astronautics, Mechanical Engineering, Aerospace Engineering, Control and Systems Engineering, Computational Mechanics, Computer Graphics and Computer-Aided Design
    Subjects:Technology > Mechanical engineering and machinery
    Technology > Motor vehicles. Aeronautics. Astronautics
    Department:Faculty of Engineering > Mechanical and Aerospace Engineering
    Technology and Innovation Centre > Advanced Engineering and Manufacturing
    Depositing user: Pure Administrator
    Date deposited:15 Mar 2013 10:15
    Last modified:01 Jul 2020 00:55
    Related URLs:
    URI:https://strathprints.strath.ac.uk/id/eprint/43206
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