@inproceedings{4939f403020c4f838e0551ca7aee2fee,
title = "Multidisciplinary Design Optimization of Air and Space Aircraft Based on 3D CST Approach",
abstract = "A multidisciplinary design optimization (MDO) framework is established with the objective of minimizing the takeoff weight of an X-37B-like vehicle in an air and space aircraft. Considering the design variables and constraints such as geometric, aerodynamic, trajectory, thermal, structure, and mass, the 3D CST method is used to establish a parametric model of the structure, and a simulated annealing algorithm is used to complete the design optimization based on the MDF method in the given design variable space. The reliability of the optimization framework and the effectiveness of the optimization method are verified through the analysis of the optimization results. The results of the study can provide a reference for the overall parameter selection in the preliminary design stage of the air and space aircraft.",
keywords = "Air and space aircraft, CST method, MDF, MDO, Simulated annealing algorithm",
author = "Hua Su and Qi Liu and Songyu Liu and Chunlin Gong",
note = "Publisher Copyright: {\textcopyright} The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2025.; International Conference on Guidance, Navigation and Control, ICGNC 2024 ; Conference date: 09-08-2024 Through 11-08-2024",
year = "2025",
doi = "10.1007/978-981-96-2240-5_53",
language = "英语",
isbn = "9789819622399",
series = "Lecture Notes in Electrical Engineering",
publisher = "Springer Science and Business Media Deutschland GmbH",
pages = "542--553",
editor = "Liang Yan and Haibin Duan and Yimin Deng",
booktitle = "Advances in Guidance, Navigation and Control - Proceedings of 2024 International Conference on Guidance, Navigation and Control Volume 11",
}