Hub moment limit protection using neural network prediction

Nilesh A. Sahani, Joseph F. Horn, Geoffrey J.J. Jeram, J. V.R. Prasad

Research output: Contribution to journalArticle

10 Scopus citations

Abstract

A main rotor hub moment limit protection system is proposed and evaluated in a real-time piloted simulation. The system is designed to allow aggressive maneuvering while reducing the likelihood of "worst case" hub loads. The system has three major components: limit parameter response prediction, control margin calculation, and pilot cueing. A method for predicting the future response of transient limit parameters using measured aircraft states has been suggested. The algorithm uses non-linear time response functions that are represented with neural networks. Stick constraints were calculated using the predicted response and the peak value of the limit parameter to a unit step control input. The stick constraints were conveyed to the pilot using softstop cues. The system was evaluated in simulation and results showed that the prediction algorithms were effective. A formal handling qualities evaluation was not conducted, but pilot comments indicated some objectionable characteristics in the soft stop cueing. Further research on new methods of tactile cueing is warranted.

Original languageEnglish (US)
Pages (from-to)331-340
Number of pages10
JournalJournal of the American Helicopter Society
Volume51
Issue number4
DOIs
StatePublished - Oct 2006

All Science Journal Classification (ASJC) codes

  • Materials Science(all)
  • Aerospace Engineering
  • Mechanics of Materials
  • Mechanical Engineering

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