OpenSim - An Open Architecture for Aircraft Simulation Integration and Monitoring Methods Using the HLA Standard

近几十年来，航空电子工业在硬件和硬件方面都有了重要的发展 适用于许多不同应用程序的软件，如飞机控制、雷达和防撞以及飞行支持 系统。在地面上部署了类似的技术，用于模拟飞行员培训的航空电子系统 以及系统设计。现代仿真系统由多个单独运行的仿真器组成 同时运行在不同的计算平台上。通过这种方式，模拟将分布在较小的 计算机，减少了对功能强大的单台计算机的需求。 该项目的主要目标是开发以体系结构为中心的方法来集成Marinvent模拟器 到使用高级体系结构(HLA)标准的更大的网络模拟器中。从长远来看，要延长 该架构支持其他模拟器，包括ERAU(安布里-里德尔航空大学)和 美国宇航局的模拟器。由此产生的模拟网络将使Marinvent及其加拿大和美国的 合作伙伴进行合作研发，预计将产生进一步的技术进步。 该项目将为未来的许多其他研究项目提供坚实的基础工作，如连接 将模拟器应用于其他(和不同种类的)模拟器。预计将在以下领域进行更多研究 模拟器网络的性能分析。这对于航空电子系统来说尤其重要，这些系统 受制于硬实时约束。此外，模拟器网络在以下方面提供了新的研究机会 多个领域，包括对大型仿真场景的跟踪和监控、调试 网络和异常检测。 最后，我们相信，这个项目和后续项目将为许多优秀的学生提供培训 航空航天领域，重点是模拟系统、软件体系结构和性能分析 航空航天系统。

In recent decades, the avionics industry has seen important development both in terms of hardware and software for many different applications like airplane control, radar and collision avoidance, and flight support systems. Similar technologies are deployed on the ground for simulating avionics systems for pilot training as well as system design. Modern simulation systems are composed of multiple individual simulators that run concurrently on disparate computing platforms. This way, the simulation is distributed across smaller computers, reducing the need for a powerful single computer. The main goal of this project is to develop architecture-centric methods for integrating Marinvent simulators into a larger network simulator using the High-Level Architecture (HLA) standard. The long term is to extend this architecture to support other simulators including the ERAU (Embry-Riddle Aeronautic University) and NASA simulators. The resulting simulation network will enable Marinvent and its Canadian and U.S.based partners to conduct collaborative R&D that is expected to yield further technological advancements. This project will provide solid ground work for many other future research projects such as the connection of Marinvent simulators to other (and heterogeneous) simulators. Additional research is expected in the area of performance analysis of network of simulators. This is particularly important for avionic systems, which are subject to hard real-time constraints. Moreover, network of simulators provide new research opportunities in numerous areas including tracing and monitoring, debugging of simulation scenarios on large simulation networks, and anomaly detection. Finally, we believe that this project and subsequent projects will provide training to many excellent students in the area of aerospace with a focus on simulation systems, software architecture, and performance analysis of aerospace systems.