Using Neural Networks for Aerodynamic Parameter Modeling

Gerald E. Peterson; William E. Bond; Roger Germann; Barry Streeter; James Urnes

doi:10.1109/ACC.1995.520972

Using Neural Networks for Aerodynamic Parameter Modeling

Gerald E. Peterson
, William E. Bond
, Roger Germann
, Barry Streeter
, James Urnes

Missouri University of Science and Technology

Research output: Contribution to journal › Article › peer-review

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

Original language	American English
Journal	Proceedings of the 1995 American Control Conference
DOIs	https://doi.org/10.1109/ACC.1995.520972
State	Published - Jan 1 1995

Keywords

Advanced Flight Control Systems
Aerodynamic Parameter Modeling
Aerodynamics
Aircraft Aerodynamics
Aircraft Control
Flight Control Development Cost Reduction
McDonnell Douglas Corporation
Modelling
Neural Networks
Neurocontrollers

Disciplines

Computer Sciences

Access to Document

10.1109/ACC.1995.520972License: Unspecified

Using Neural Networks for Aerodynamic Parameter ModelingFinal published version, 279 KBLicense: Unspecified

Cite this

@article{921bc068f3c34d98ab7d3381a1e8309f,

title = "Using Neural Networks for Aerodynamic Parameter Modeling",

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",

keywords = "Advanced Flight Control Systems, Aerodynamic Parameter Modeling, Aerodynamics, Aircraft Aerodynamics, Aircraft Control, Flight Control Development Cost Reduction, McDonnell Douglas Corporation, Modelling, Neural Networks, Neurocontrollers",

author = "Peterson, \{Gerald E.\} and Bond, \{William E.\} and Roger Germann and Barry Streeter and James Urnes",

year = "1995",

month = jan,

day = "1",

doi = "10.1109/ACC.1995.520972",

language = "American English",

journal = "Proceedings of the 1995 American Control Conference",

}

TY - JOUR

T1 - Using Neural Networks for Aerodynamic Parameter Modeling

AU - Peterson, Gerald E.

AU - Bond, William E.

AU - Germann, Roger

AU - Streeter, Barry

AU - Urnes, James

PY - 1995/1/1

Y1 - 1995/1/1

N2 - 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

AB - 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

KW - Advanced Flight Control Systems

KW - Aerodynamic Parameter Modeling

KW - Aerodynamics

KW - Aircraft Aerodynamics

KW - Aircraft Control

KW - Flight Control Development Cost Reduction

KW - McDonnell Douglas Corporation

KW - Modelling

KW - Neural Networks

KW - Neurocontrollers

UR - https://scholarsmine.mst.edu/comsci_facwork/285

U2 - 10.1109/ACC.1995.520972

DO - 10.1109/ACC.1995.520972

M3 - Article

JO - Proceedings of the 1995 American Control Conference

JF - Proceedings of the 1995 American Control Conference

ER -

Using Neural Networks for Aerodynamic Parameter Modeling

Abstract

Keywords

Disciplines

Access to Document

Other files and links

Fingerprint

Cite this