Research on System Architecture Modelling Method for Civil Rotorcraft Using SysML V2

  • HE, Xiongwei (AVIC Information Technology Co., Ltd)
  • TAO, Fuxing (AVIC Information Technology Co., Ltd)
  • XIE, Fang (AVIC Information Technology Co., Ltd)
  • BAI, Wen (Chinese Aeronautical Establishment)

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Model-Based Systems Engineering (MBSE) serves as the primary paradigm to address challenges of increasing complexity in aerospace industry, and the Systems Modelling Language (SysML) is a key technology for implementing MBSE. The next-generation modelling language - SysML V2, with a novel language kernel and architecture, provides effective ways to tackle the major challenges encountered in MBSE application. Taking the system architecture modelling of a typical civil rotorcraft as the context, the problems encountered using SysML V1 are examined, including insufficient semantic precision, poor model computability, and difficulties in modelling & simulation tools integration. Targetedly, some specific new features of SysML V2 - precise formal semantics, built-in model validation rules and standardized programmatic interfaces - are introduced. The proposed procedure to realize the RFLP process then follows up. For the Requirements (R) level, SysML V2 requirement elements are used to create more precise and parameterized requirements models as the foundation for requirement verification and validation. For the Functional (F) level, SysML V2 behavior elements are used to define formalized and computable functional models, enabling unambiguous allocation and traceability to lower-level logical components. For the Logical (L) level, conceptual structures are constructed using SysML V2 structural elements. For the Physical (P) level, detailed representation of physical components is modelled through SysML V2 structural elements and mathematical expressions, enhancing the integration and interoperability between the physical architecture and multi-disciplinary models. The proposed system architecture modelling method using SysML V2 effectively improves the accuracy, computability, and interoperability of system architecture models.