Identification of a flexible aircraft using neural network

  • Authors:

  • Mahendra Kumar Samal;Sreenatha Anavatti;Matthew Garratt

  • Affiliations:

  • University of New South Wales (UNSW@ADFA), Canberra, Australia;University of New South Wales (UNSW@ADFA), Canberra, Australia;University of New South Wales (UNSW@ADFA), Canberra, Australia

  • Venue:
  • MIC '08 Proceedings of the 27th IASTED International Conference on Modelling, Identification and Control
  • Year:
  • 2008

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Abstract

The comparison of two identification methods based on Artificial Neural Network (ANN) for a flexible aircraft is provided in this paper. The Delta method uses the ANN to calculate the stability and control parameters from which the response is calculated. The other technique employs the function mapping property of ANNs as a Block Box to identify the dynamics of the aircraft. Numerical simulation results and the root mean square errors are provided to compare these techniques.