Architecture Preliminary Design and Trade-Off Optimization of Stratospheric Airship Based on MBSE

IF 2.1 3区工程技术 Q2 ENGINEERING, AEROSPACE Aerospace Pub Date : 2024-07-16 DOI:10.3390/aerospace11070582

Weihao Lyu, Yanchu Yang, Jinggang Miao, Shenghong Cao, Lingsen Kong

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Abstract

System architecture design is crucial for forward design in aerostat system engineering, yet a comprehensive research framework has been lacking. This paper presents a new method for stratospheric airship architecture preliminary design and optimization trade-off, grounded in Model-Based Systems Engineering (MBSE) theory. Firstly, a requirement analysis for a stratospheric airship is conducted using SysML, leading to the analysis and acquisition of the airship’s mission architecture design. Additionally, a multidisciplinary coupling simulation platform is developed with MATLAB, and the architecture preliminary design’s Pareto front is derived using the NSGA-II algorithm. Finally, based on the Pareto optimization set, the TOPSIS algorithm is applied to derive the optimal architecture preliminary design scheme for the airship. The optimization results validate the accuracy of the architecture preliminary design obtained from the requirement analysis, the reliability of the multidisciplinary coupling simulation platform, and the feasibility of the optimization algorithms. This comprehensive study spans the requirement analysis to the optimal architecture scheme, providing theoretical reference and design guidance for the forward design of airship systems engineering.

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基于 MBSE 的平流层飞艇架构初步设计与权衡优化

系统架构设计对于航空器系统工程的正向设计至关重要，但一直缺乏全面的研究框架。本文以基于模型的系统工程（MBSE）理论为基础，提出了一种平流层飞艇体系结构初步设计与优化权衡的新方法。首先，利用 SysML 对平流层飞艇进行需求分析，从而分析并获得飞艇的任务架构设计。此外，利用 MATLAB 开发了多学科耦合仿真平台，并利用 NSGA-II 算法得出了架构初步设计的帕累托前沿。最后，在帕累托优化集的基础上，应用 TOPSIS 算法得出飞艇的最优架构初步设计方案。优化结果验证了需求分析得出的结构初步设计方案的准确性、多学科耦合仿真平台的可靠性以及优化算法的可行性。该综合研究从需求分析到优化结构方案，为飞艇系统工程的前瞻性设计提供了理论参考和设计指导。

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来源期刊

Aerospace ENGINEERING, AEROSPACE-

CiteScore

3.40

自引率

23.10%

发文量

661

审稿时长

6 weeks

期刊介绍： Aerospace is a multidisciplinary science inviting submissions on, but not limited to, the following subject areas: aerodynamics computational fluid dynamics fluid-structure interaction flight mechanics plasmas research instrumentation test facilities environment material science structural analysis thermophysics and heat transfer thermal-structure interaction aeroacoustics optics electromagnetism and radar propulsion power generation and conversion fuels and propellants combustion multidisciplinary design optimization software engineering data analysis signal and image processing artificial intelligence aerospace vehicles'' operation, control and maintenance risk and reliability human factors human-automation interaction airline operations and management air traffic management airport design meteorology space exploration multi-physics interaction.