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Integration of Multi-Fidelity Models with Agent-Based Simulation for System of Systems
Linköping University, Department of Management and Engineering, Fluid and Mechatronic Systems. Linköping University, Faculty of Science & Engineering.ORCID iD: 0000-0002-3383-279X
Saab Aeronautics, Linköping, Sweden.
Saab Aeronautics, Linköping, Sweden.
Saab Aeronautics, Linköping, Sweden.
2021 (English)In: Proceedings of the AIAA Aviation 2021 Forum, Virtual Event, 2nd - 6th August, 2021., American Institute of Aeronautics and Astronautics , 2021Conference paper, Published paper (Other academic)
Abstract [en]

System of Systems (SoS) are everywhere, either created and directed by an organization or simply emerging to fulfill a need. SoS consist of many independent Constituent Systems (CS) with their own life cycles and behavior. One of the big challenges with studying SoS is building models to support the analysis of these large complex systems. For existent SoS, it may be tempting to use available models from subsequent levels and connect them in a common framework, rather than creating new models tailored for the SoS analysis. Typically, the already existing models often have a high level of fidelity and have been created from a certain point of view to best fit its purpose. This paper shows that a framework with higher fidelity models on Sub-Systems (SS) level will impact the performance on SoS level but also take longer time to converge and thus need more simulations in order for the results to be trusted. With an holistic approach to the development of SoS, we use hierarchical integration of CS and SS models to provide inputs to the simulation on SoS level. Using maritime Search and Rescue (SAR) as a case study, the mission performance of two aircraft searching for a lost life raft through Agent Based Simulation (ABS). Two cases are compared where one of them has a higher fidelity representation of the sensor model. Through the case study it is possible to investigate the impact of model fidelity on the SS level to the simulation results on SoS level. The two cases simulate the same scenario but still show a difference in mission performance. A convergence analysis show that with the the High Fidelity Models (HFM) the simulation takes slightly longer to converge. This paper is the beginning of a multi-fidelity model library that will be used to explore the impact of model fidelity on all the levels of SoS and from that find general methods for choosing model fidelity when analyzing SoS.

Place, publisher, year, edition, pages
American Institute of Aeronautics and Astronautics , 2021.
National Category
Aerospace Engineering
Identifiers
URN: urn:nbn:se:liu:diva-198920DOI: 10.2514/6.2021-2996OAI: oai:DiVA.org:liu-198920DiVA, id: diva2:1808996
Conference
AIAA AVIATION 2021 FORUM August 2-6, 2021
Available from: 2023-11-01 Created: 2023-11-01 Last updated: 2023-11-02
In thesis
1. Model Fidelity in Mission Scenario Simulations for Systems of Systems: A Case Study of Maritime Search and Rescue
Open this publication in new window or tab >>Model Fidelity in Mission Scenario Simulations for Systems of Systems: A Case Study of Maritime Search and Rescue
2023 (English)Licentiate thesis, comprehensive summary (Other academic)
Abstract [en]

Systems of Systems (SoS) represent a view where individual, independent systems named Constituent System (CS) collaborate to achieve overarching capabilities not attainable by a single CS alone. In cyberphysical systems, CS can be engineered entities like boats or aircraft, when they collaborate in an environment it can be viewed as an SoS. There is a large interest in modeling and simulation of phenomena present at different scales of SoS, which requires choosing appropriate model fidelity and resolution for the study. This thesis delves into the intricacies of modeling and simulation of mission scenarios within SoS, with a keen focus on engineered CS operating in physical environments. At the heart of the thesis lies the concept of model fidelity, examined through philosophical, scientific, and engineering perspectives.

A maritime search and rescue scenario by airborne search assets serves as case study, using Agent Based Simulation (ABS) to explore the Measures of Effectiveness (MoE) of the mission. Through a hierarchical viewpoint it is studied how the model fidelity on Sub-System (SS) level affects its performance and how it aggregates up to performance on the CS level and at last the MoE on SoS level. In the scenarios, manned assets utilize traditional search patterns that is used in present search and rescue operations. Concurrently, autonomous assets employ a belief map search strategy where the map is based on probability density functions underpinned by a Bayesian modeling approach to new observations as the search progresses.

The study shows that increasing the model fidelity at the SS level, particularly by refining the representation of the search sensor, can impact the MoE of the mission at the SoS level. However, this influence shows to be notably scenario-dependent, emphasizing the intricate relationship between model fidelity and system performance. The findings indicate that the relevance of model fidelity is tied to how measures of performance at lower levels aggregate to influence overarching mission outcomes. The thesis concludes by discussing validation and verification of the case study and ties encountered modeling difficulties to resolution and model fidelity aspects. Future work is suggested to be a deeper dive into mission engineering, where the mission itself is viewed as the system of interest, and how it could be combined with modeling and simulation in product development.

Place, publisher, year, edition, pages
Linköping: Linköping University Electronic Press, 2023. p. 85
Series
Linköping Studies in Science and Technology. Licentiate Thesis, ISSN 0280-7971 ; 1975
National Category
Aerospace Engineering
Identifiers
urn:nbn:se:liu:diva-198925 (URN)10.3384/9789180753944 (DOI)9789180753937 (ISBN)9789180753944 (ISBN)
Presentation
2023-11-17, ACAS, A-building and online via Zoom (contact sofia.schon@liu.se), Campus Valla, Linköping, 10:15 (English)
Opponent
Supervisors
Funder
Vinnova, NFFP7/ 2017-04839
Available from: 2023-11-02 Created: 2023-11-02 Last updated: 2023-11-06Bibliographically approved

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Schön, SofiaMarcus, CarinaAmadori, KristianJouannet, Christopher

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