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

  • Beihang University
  • Moscow State Aviation Institute

科研成果: 书/报告/会议事项章节会议稿件同行评审

摘要

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.

源语言英语
主期刊名2014 2nd International Conference on Systems and Informatics, ICSAI 2014
出版商Institute of Electrical and Electronics Engineers Inc.
258-263
页数6
ISBN(电子版)9781479954582
DOI
出版状态已出版 - 13 1月 2015
活动2014 2nd International Conference on Systems and Informatics, ICSAI 2014 - Shanghai, 中国
期限: 15 11月 201417 11月 2014

出版系列

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

会议

会议2014 2nd International Conference on Systems and Informatics, ICSAI 2014
国家/地区中国
Shanghai
时期15/11/1417/11/14

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