Enhanced Computational Performance and Stability & Control Prediction for NATO Military Vehicles

Abstract

The NATO Science & Technology Organisation Research Task Group Applied Vehicle Technology (AVT)-351 of the Applied Vehicle Technology panel worked on the development of enhanced numerical methods to efficiently generate comprehensive performance, stability and control data sets at feasible cost for air and sea vehicles based on computational fluid dynamic and experiment data. Currently the use of computational fluid dynamics and experiments for military vehicle design is limited by the tremendous cost and timescales necessary for providing comprehensive data sets. A feasible means to overcome these limitations are reduced-order modeling techniques by making efficient use of a limited amount of highly accurate experimental and computational data points. Reduced-order models that are capable of time-dependent maneuver prediction and data set population are investigated and applied on four different air and sea vehicle use cases. This paper presents a summary of the research task group, use cases, methods and results of various reduced-order models and provides an extension to a previously published introduction to this research task group.