双模式集成框架及其在运载火箭敏捷反馈设计中的应用

IF 3.4 Q1 ENGINEERING, MECHANICAL
Wenfeng Zhang, Xiaoshuang Cai, Zhendong Liu, Shan Luo, Rendong Yu
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引用次数: 0

摘要

近几十年来,航空航天工业中运载火箭等复杂系统的设计给工程师们带来了超越系统复杂性的挑战。上市时间压力和错综复杂的工业流程等问题凸显了敏捷设计方法日益重要的意义。敏捷设计源于简化设计流程和加强跨领域数据传输与反馈。虽然基于模型的系统工程方法改善了系统架构设计的迭代时间,但跨领域数据传输方面的挑战依然存在。由于复杂系统模型和数据的多样性,单一模式的集成方法很难实现所有工具的数据链路构建。针对这一难题,本文提出了一种具有扩展性、通用性和成本效益的双模数据集成框架,充分利用了远程过程调用和中间交换模块的优势,解决了单模集成下跨域数据链路构建的难题。本研究选择了第一级和第二级分离系统的两个关键要求,即重量和最小分离间隙,用于数据反馈。在 MWorks 中开发了基于 Modelica 的多物理场仿真模型;在 CoppeliaSim 中实现了最小间隙的可视化和计算。为了弥合特定领域工具之间的差距,引入了 Matlab 和功能模拟单元模块作为中间件,以促进数据反馈连接。整个仿真过程使用 MagicDraw 工具中的活动图进行协调。研究深入探讨了关键设计参数,如分离的初始角速度和反冲火箭的推力,对最小分离间隙的影响。它分析了不确定运行条件下最小分离间隙的变化,并研究了设计余量。重要的是,论文强调了控制分离过程中的初始角速度和反火箭可靠性的重要性,为敏捷的系统设计过程提供了重要的决策支持和有价值的见解。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

A dual-mode integration framework and application to agile feedback design of launch vehicles

A dual-mode integration framework and application to agile feedback design of launch vehicles

In recent decades, the design of complex systems like launch vehicles in the aerospace industry has presented engineers with challenges that go beyond system complexity. Issues such as time-to-market pressures and intricate industrial processes have underscored the increasing significance of agile design methodologies. Agile design is derived from the simplification of the design process and enhancing cross-domain data transmission and feedback. While methods based on model-based system engineering have improved iteration times in system architecture design, challenges persist in cross-domain data transmission. Due to the diversity of complex system models and data, a single-mode integration method is difficult to realize the data link construction of all tools used. To address this challenge, this paper proposes a dual-mode data integration framework with expansibility, universality, and cost-efficiency which leverages the benefits of Remote Procedure Call and Intermediate Exchange Module, addressing the challenge of constructing cross-domain data links under single-mode integration. In this study, two critical requirements of the first- and second-stage separation systems, namely, weight and minimum separation gap, are selected for data feedback. A Modelica-based multiphysics simulation model is developed in MWorks; visualization and computation of the minimum gap are carried out in CoppeliaSim. To bridge the gap between domain-specific tools, Matlab and Functional Mock-up Unit modules are introduced as middleware, facilitating data feedback linkage. The entire simulation process is orchestrated using activity diagrams in the MagicDraw tool. The study delves into the influence of critical design parameters, such as the initial angular velocity of separation and the thrust of the retro rocket, on the minimum separation gap. It provides an analysis of minimum separation gap variations under uncertain operating conditions and examines design margins. Significantly, the paper highlights the significance of controlling the initial angular velocity during separation and the reliability of the retro rocket, providing essential decision supports and valuable insights to agile the process of system design.

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