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A method for predicting aircraft flying qualities using neural networks pilot model

  • Beihang University
  • Moscow State Aviation Institute

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

This paper proposes a method for predicting aircraft flying qualities according to Cooper-Harper rating scale, where neural networks model is used to describe the nonlinear characteristics of pilot control based on experimental data. The relationship between the Cooper-Harper pilot rating and characteristics of a closed-loop aircraft-pilot system is investigated according to the parameters of pilot control error of closed-loop systems and pilot model phase lag. A large number of simulation results have been used to derive a numerical method that will effectively predict the aircraft flying qualities, and the new method has been validated independently using five different aircraft configurations.

Original languageEnglish
Title of host publication2014 2nd International Conference on Systems and Informatics, ICSAI 2014
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages258-263
Number of pages6
ISBN (Electronic)9781479954582
DOIs
StatePublished - 13 Jan 2015
Event2014 2nd International Conference on Systems and Informatics, ICSAI 2014 - Shanghai, China
Duration: 15 Nov 201417 Nov 2014

Publication series

Name2014 2nd International Conference on Systems and Informatics, ICSAI 2014

Conference

Conference2014 2nd International Conference on Systems and Informatics, ICSAI 2014
Country/TerritoryChina
CityShanghai
Period15/11/1417/11/14

Keywords

  • aircraft pilot coupling
  • flying qualities
  • neural networks
  • pilot model

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