Integrated vehicle and mission design using convex optimization
Name
1191819250-MIT.pdf
Size
3.41 MB
Format
Adobe PDF
Checksum (MD5)
733a9f5bab3595ebafb5e0411d2010cb
Author(s)
Lin, Beldon Chi.
Advisor(s)
Olivier de Weck and Michele Carpenter.
Date Issued
2020
Publisher
Massachusetts Institute of Technology
Abstract
Convex optimization is used to solve the simultaneous vehicle and mission design problem. The objective of this work is to develop convex optimization architectures that allow both the vehicle and mission to be designed together. They allow the problem to be solved very quickly while maintaining similar fidelity to comparable methods. Multiple architectures are formulated, and the architectures are implemented and evaluated for a sounding rocket design problem and a hydrogen aircraft design problem. The methodology proves successful in designing the sounding rocket while taking into account the optimal trajectory and control strategy and extended to a multi-mission design case. The hydrogen aircraft was successfully designed, allowing for both the cryogenic tank design to be chosen in conjunction with the mission prole. For the rocket design problem, the integrated vehicle and mission problem can only be combined into alternating and integrated approach, and the integrated architecture for convergence to solution in 50% computation time while reaching similar solution. For the hydrogen aircraft case, a 50+% decrease in fuel burn was able to be achieved compared to regular kerosene with an integrated optimization approach. Future work includes studying the convergence properties as well as increasing the robustness of the architectures.
Description
Thesis: S.M., Massachusetts Institute of Technology, Department of Aeronautics and Astronautics, May, 2020
Cataloged from the official PDF of thesis.
Includes bibliographical references (pages 177-183).
Subjects
Aeronautics and Astronautics.
MIT Department
Massachusetts Institute of Technology. Department of Aeronautics and Astronautics
Terms of Use
MIT theses may be protected by copyright. Please reuse MIT thesis content according to the MIT Libraries Permissions Policy, which is available through the URL provided.
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