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New Methodology for the Calculation of Aerodynamic Coefficients on ATR-42 Scaled Model With Neural Network – EGD Method

[+] Author Affiliations
A. B. Mosbah, R. Botez, T. M. Dao

École de Technologie Supérieure, Montreal, QC, Canada

Paper No. IMECE2014-38865, pp. V001T01A040; 18 pages
doi:10.1115/IMECE2014-38865
From:
  • ASME 2014 International Mechanical Engineering Congress and Exposition
  • Volume 1: Advances in Aerospace Technology
  • Montreal, Quebec, Canada, November 14–20, 2014
  • Conference Sponsors: ASME
  • ISBN: 978-0-7918-4642-1
  • Copyright © 2014 by ASME

abstract

The determination of aerodynamic coefficients such as pressure distributions and aerodynamic coefficients (lift, drag and moment) from the known parameters (angle of attack, Mach number …) in real time is still not achievable easily by methods of numerical analysis in aerodynamics and aeroelasticity domains. For this reason, we propose a flight parameters control system. This approach is based on new optimization methodologies with neural networks (NN) and extended great deluge (EGD). The validation of this new method is realized by experimental tests using a model installed in the wind tunnel to determine the pressure distribution. For lift, drag and moment coefficient, the results of our approach are compared to the XFoil results for different angles of attack and Mach number. The main purpose of this control system is to improve the aircraft aerodynamic performance.

Copyright © 2014 by ASME

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