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2020 (Engelska)Konferensbidrag, Publicerat paper (Refereegranskat)
Abstract [en]
System-of-Systems Engineering (SoSE) has become a constantly growing field within product development for complex systems. Systems are becoming more and more connected with other systems and the operational environment in general. This takes the development process to new levels of complexity where high degrees of uncertainties are expected due to ever occurring changes in the operational environment, and other external factors such as politics, economy, and technology. This creates a need of being able to understand the influence of changes early in the development process and to facilitate the systems? perseverance. The focus of the development shifts from fulfilling specific requirements, to being able to meet needs and deliver capabilities over time. Additionally, modeling and simulation for complex systems and System-of-Systems (SoS) becomes a valued alternative to the economically prohibited and almost impossible prototype testing. In consideration of this problem, the presented work introduces a method for both modeling and simulation of a SoS. The method uses ontology with description logic reasoning to derive and narrow down a SoS design space which is further analyzed using Agent Based Simulation (ABS). A Search and Rescue (SAR) scenario is used as a case study to test the method. Measures of Effectiveness (MoE), based on the time it takes to find a rescue subject and the cost of doing so, are used to evaluate the SoS performances. The presented method is envisioned to be used early in the development of complex systems and SoS to increase the overall understanding of them.
Ort, förlag, år, upplaga, sidor
American Institute of Aeronautics and Astronautics, 2020
Nyckelord
Model Based System Engineering, Unified Modeling Language, Web Ontology Language, Extensible Markup Language, Ocean Currents, Helicopters, Air Vehicle, Probability Density Functions, Cyber Physical System
Nationell ämneskategori
Rymd- och flygteknik
Identifikatorer
urn:nbn:se:liu:diva-175763 (URN)10.2514/6.2020-0455 (DOI)
Konferens
AIAA Scitech 2020 Forum
2021-05-192021-05-192023-11-02Bibliografiskt granskad