Using Neural Networks for Aerodynamic Parameter Modeling

Gerald E. Peterson
William E. Bond, Missouri University of Science and Technology
Roger Germann
Barry Streeter
James Urnes

This document has been relocated to http://scholarsmine.mst.edu/comsci_facwork/285

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Abstract

Neural networks are being developed at McDonnell Douglas Corporation to provide an onboard model of an aircraft's aerodynamics to support advanced flight control systems. These flight control systems, constructed using neural networks and advanced controllers, have the potential to reduce flight control development costs and to improve inflight performance. Neural networks are useful in this situation because they can compactly represent the data and operate in real-time