New Paper Details SysML for Aerospace Systems

Model-Based Systems Engineering (MBSE) is supplanting traditional document-centric approaches in aerospace to manage increasing system complexity. This methodology utilizes a central digital model, often built with Systems Modeling Language (SysML), to enhance collaboration, ensure consistency, and reduce reliance on cumbersome documentation, which is critical for multinational and geographically dispersed teams. The transition to MBSE aims to create a single, authoritative source of truth for a project. This digital thread improves traceability and simplifies the management of different design variants. Companies like Boeing and Airbus have been adopting MBSE with SysML to streamline the design of complex systems, from aircraft to satellites, by integrating mechanical, electronic, and software domains. For safety-critical aerospace software, adherence to standards like DO-178C is mandatory. Model-based design, as supported by toolchains from companies like MathWorks and Ansys, can streamline the certification process. These tools help generate the necessary artifacts to demonstrate compliance with DO-178C and its model-based supplement, DO-331. The recent release of SysML v2 is a significant evolution aimed at increasing the adoption and effectiveness of MBSE. SysML v2 introduces a standardized API, improved precision, and better integration capabilities, which are crucial for complex aerospace projects. This new version is expected to become the primary language for most modeling projects in the coming years. Model-Based Product Line Engineering (MBPLE) extends MBSE to manage variability across a family of similar products. By modeling a product line's variation points and dependencies, engineers can systematically reuse assets and more efficiently create different product variants. This approach is particularly beneficial in the aerospace industry, where customizing systems for different customers and missions is common. The integration of formal methods with SysML is an area of ongoing research to enhance design consistency. By embedding SysML within a formal logic, engineers can use automated reasoning to detect inconsistencies early in the design process, which helps to minimize costly rework. This is especially important for large-scale aerospace systems where maintaining consistency is a major challenge. Looking ahead, the combination of Artificial Intelligence (AI) with SysML v2 is poised to further revolutionize aerospace systems engineering. AI can be leveraged to improve workflows, enhance analysis, and manage the increasing complexity of AI-enabled systems being integrated into aircraft and spacecraft. Major aerospace and defense companies are actively implementing MBSE to improve their development processes. Collins Aerospace uses MBSE for end-to-end engineering activities, including hardware, software, and AI-enabled systems. Northrop Grumman and Boeing have also demonstrated the use of SysML to connect design workflows, verify requirements, and accelerate decision-making.