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Improving simulation specification with MBSE for better simulation validation and reuse
Systems Engineering ( IF 1.6 ) Pub Date : 2021-08-06 , DOI: 10.1002/sys.21594
Henri Sohier 1 , Pascal Lamothe 2 , Sahar Guermazi 3 , Mouadh Yagoubi 1 , Pascal Menegazzi 4 , Aldo Maddaloni 5
Affiliation  

A simulation can be a complex architecture of simulation models, simulation tools, and computing hardware. However, its development often relies on informal procedures and can begin without a clear, complete, and formal definition of the simulation needs. Simulation traceability is then compromised, which prevents from easily validating whether a simulation meets the needs, or understanding the purpose of a simulation model that can be reused. This paper proposes an approach to improve the definition of simulation needs using Model-Based Systems Engineering. Based on the semi-automatic processing of a system architecture, it presents a new method to formulate a so-called “simulation request” which covers (1) the part of the system to be simulated; (2) the objective of the simulation; (3) the simulation quality, cost, and delivery; (4) the test scenarios; (5) the data for simulation calibration and validation; and (6) the verification and validation of the simulation. All the tooling required for the formulation of the simulation request were prototyped in a SysML editor, with machine learning capabilities for the choice of test scenarios. The method and tooling were tested for the case of an autonomous car passing under traffic lights.

中文翻译:

使用 MBSE 改进仿真规范,以实现更好的仿真验证和重用

仿真可以是仿真模型、仿真工具和计算硬件的复杂架构。然而,它的开发通常依赖于非正式的程序,并且可以在没有对模拟需求的清晰、完整和正式定义的情况下开始。仿真可追溯性会受到影响,这会妨碍轻松验证仿真是否满足需求,或了解可重复使用的仿真模型的目的。本文提出了一种使用基于模型的系统工程改进仿真需求定义的方法。基于对系统架构的半自动处理,提出了一种新的方法来制定所谓的“仿真请求”,它涵盖(1)系统被仿真的部分;(2) 模拟的目的;(3) 仿真质量、成本和交付;(4) 测试场景;(5) 模拟校准和验证的数据;(6) 模拟的验证和确认。制定模拟请求所需的所有工具都在 SysML 编辑器中进行了原型设计,具有用于选择测试场景的机器学习功能。该方法和工具针对自动驾驶汽车在红绿灯下通过的情况进行了测试。
更新日期:2021-08-06
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