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NATO STO Research Task Group AVT-351 on Enhanced Computational Performance and Stability and Control Prediction for NATO Military Vehicles

Stradtner, Mario and Drazen, David A. and van Rooij, Michel P.C. (2026) NATO STO Research Task Group AVT-351 on Enhanced Computational Performance and Stability and Control Prediction for NATO Military Vehicles. NATO STO - Science and Technology Organisation. [Other]

Full text not available from this repository.

Official URL: https://www.sto.nato.int/document/enhanced-computational-performance-and-stability-and-control-prediction-for-nato-military-vehicles

Abstract

Numerical simulations are a principal tool across the lifecycle of NATO military air and sea vehicles. Over last two decades an extensive evaluation and validation of computational prediction capabilities of stability and control characteristics took place within the NATO/STO AVT community. However, high-fidelity numerical tools such as Computational Fluid Dynamics (CFD) are expensive from both a time and cost perspective. The Research Task Group (RTG) AVT-351 focused on the development and assessment of Reduced-Order Modeling (ROM) techniques to overcome these limitations of CFD in terms of providing data in a fraction of time supporting military vehicle design and early decision making. Over a four-year period, the RTG developed and evaluated various different ROM approaches, collected data, and shared ideas among 12 participating nations. The RTG demonstrated the applicability of multiple ROM techniques for accurate prediction of performance characteristics with low computational cost in both air and sea domains. Use cases included a generic fighter aircraft, a high-aspect glider aircraft, a generic SSK class submarine, and a naval surface combatant. Additional work is required to understand the extent of cost reduction achievable with these approaches. Open questions remain on combining data sets with different fidelity levels or quantifying uncertainty in models.

Item URL in elib:https://elib.dlr.de/223084/
Document Type:Other
Title:NATO STO Research Task Group AVT-351 on Enhanced Computational Performance and Stability and Control Prediction for NATO Military Vehicles
Authors:
AuthorsInstitution or Email of AuthorsAuthor's ORCID iDORCID Put Code
Stradtner, Mariomario.stradtner (at) dlr.dehttps://orcid.org/0000-0001-8038-9420UNSPECIFIED
Drazen, David A.Naval Surface Warfare Center - Caderock DivisionUNSPECIFIEDUNSPECIFIED
van Rooij, Michel P.C.Netherlands Aerospace CentreUNSPECIFIEDUNSPECIFIED
Date:24 February 2026
Journal or Publication Title:NATO STO Technical Report, STO-AVT-TR-351 on "Enhanced Computational Performance and Stability and Control Prediction for NATO Military Vehicles"
Refereed publication:No
Open Access:No
DOI:10.14339/STO-TR-AVT-351
Page Range:pp. 1-618
Publisher:NATO STO - Science and Technology Organisation
Series Name:NATO STO Technical Report
ISBN:978-92-837-2583-1
Status:Published
Keywords:5415M, BB 2, Control system design, Design of experiment, Diana 2, Flight dynamics, fluid dynamics, Forecasting, Future fighter demonstrator, Input signal design, machine learning, Maneuvering, Neural network, Reduced-order modeling, Stability and control, Surrogate modeling, System identification, Wind tunnel testing
HGF - Research field:other
HGF - Program:other
HGF - Program Themes:other
DLR - Research area:Aeronautics
DLR - Program:L DT - Defense Technology
DLR - Research theme (Project):L - Effect
Location: Braunschweig , Göttingen
Institutes and Institutions:Institute for Aerodynamics and Flow Technology
Deposited By: Stradtner, Mario
Deposited On:09 Mar 2026 10:52
Last Modified:09 Mar 2026 10:52

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