Model-based design and multidisciplinary optimization of complex system architectures in the aircraft cabin

被引:0
|
作者
Ghanjaoui Y. [1 ]
Fuchs M. [1 ]
Biedermann J. [1 ]
Nagel B. [1 ]
机构
[1] Institute of System Architectures in Aeronautics, German Aerospace Center (DLR), Hein-Saß-Weg 22, Hamburg
关键词
Aircraft cabin; Digital thread; MBSE; Multi-objective optimization;
D O I
10.1007/s13272-023-00683-w
中图分类号
学科分类号
摘要
The aviation industry is currently facing major challenges due to environmental and socio-economic trends toward sustainable and digitalized aviation. Revolutionary, more powerful and efficient technologies must be rapidly integrated into aircraft, while aircraft manufacturers must demonstrate the required safety. To support the implementation of new concepts, the DLR Institute of System Architectures in Aeronautics is researching methods for end-to-end digitalization from the preliminary design phase to assembly and production. In this context, Model-Based Systems Engineering (MBSE) and Multidisciplinary Design Optimization are important approaches for the development of complex systems. This paper presents a method for the end-to-end use of digital models for multidisciplinary optimization of system architectures. The Systems Modeling Language (SysML) is used to represent the system architecture. The focus is on the cabin and cabin systems, since they are highly coupled to other aircraft systems and have dynamic, customer-specific configuration requirements. The system architecture in SysML is instantiated and configured by the interface to the aircraft fuselage and cabin design parameter sets in the Common Parametric Configuration Schema. The subsequent coupling of the generated system architecture model with the cabin system design model developed in Matlab allows a multidisciplinary optimization of the system properties. A sensitivity analysis is performed using the Passenger Service Unit as an example. The effects of different cabin configurations on the system architecture are investigated and interdisciplinary synergies are identified and analyzed. The results of this analysis are discussed in this paper. © 2023, The Author(s).
引用
收藏
页码:895 / 911
页数:16
相关论文
共 50 条
  • [41] Design on Model-based Visualization System for Civil Aircraft Airborne Equipment Identification Test
    ZHANG Juan
    MA Xiaojun
    A Dina
    International Journal of Plant Engineering and Management, 2024, 29 (03) : 167 - 184
  • [42] Model-based design of a starting control system with an LC filter for an aircraft start generator
    Li, Hejie
    Chen, Zhihui
    Li, Jincai
    Zhang, Zhuoran
    JOURNAL OF ENGINEERING-JOE, 2018, (13): : 534 - 540
  • [43] Multidisciplinary design optimization based on advanced model of satellite attitude control system
    Wang, Xiao-Feng
    Huang, Hai
    Hangkong Dongli Xuebao/Journal of Aerospace Power, 2007, 22 (11): : 1958 - 1962
  • [44] Model-Based Design of Correct Controllers for Dynamically Reconfigurable Architectures
    An, Xin
    Rutten, Eric
    Diguet, Jean-Philippe
    Gamatie, Abdoulaye
    ACM TRANSACTIONS ON EMBEDDED COMPUTING SYSTEMS, 2016, 15 (03)
  • [45] Enabling Cross-Domain Modeling of Complex Autonomous Vehicles in System-of-Systems Architectures: A Model-Based System Specification for the Development of Complex Automotive Architectures
    Brankovic, Boris
    Binder, Christoph
    Neureiter, Christian
    SAE INTERNATIONAL JOURNAL OF CONNECTED AND AUTOMATED VEHICLES, 2024, 6 (02): : 221 - 240
  • [46] Model-Based Design and Optimization of Electric Vehicles
    Skarka, Wojciech
    TRANSDISCIPLINARY ENGINEERING METHODS FOR SOCIAL INNOVATION OF INDUSTRY 4.0, 2018, 7 : 566 - 575
  • [47] Model-based design analysis and yield optimization
    Pfingsten, Tobias
    Herrmann, Daniel J. L.
    Rasmussen, Carl Edward
    IEEE TRANSACTIONS ON SEMICONDUCTOR MANUFACTURING, 2006, 19 (04) : 475 - 486
  • [48] Aircraft cabin lighting design method based on DIALux
    Fu J.
    Chen D.
    Zhang X.
    Xie N.
    Xibei Gongye Daxue Xuebao/Journal of Northwestern Polytechnical University, 2024, 42 (01): : 53 - 61
  • [49] Model-based safety assessment for conceptual aircraft systems design
    Gradel S.
    Aigner B.
    Stumpf E.
    CEAS Aeronautical Journal, 2022, 13 (01) : 281 - 294
  • [50] Computational toolkits for model-based design and optimization
    Agi, Damian
    Jones, Kyla
    Watson, Madelynn J.
    Lynch, Hailey G.
    Dougher, Molly
    Chen, Xinhe
    Carlozo, Montana N.
    Dowling, Alexander W.
    CURRENT OPINION IN CHEMICAL ENGINEERING, 2024, 43