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
![]() |
PDF
Minisci_E_Vasile_M_Pure_Robust_design_of_a_re_entry_unmanned_space_vehicle_by_multi_fidelity_evolution_control_Mar_2013.pdf Preprint Download (762kB) |
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 ![]() ![]() | 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 Jan 2021 10:34 |
Related URLs: | |
URI: | https://strathprints.strath.ac.uk/id/eprint/43206 |
Export data: |