Non-linear modelling of a one-degree-of-freedom twin-rotor multi-input multi-output system using radial basis function networks

S. M. Ahmad, M. H. Shaheed, A. J. Chipperfield, M. O. Tokhi*

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

21 Scopus citations

Abstract

Modelling of innovative aircraft such as unmanned air vehicles (UAVs). X-wing, tilt body and delta-wing aircraft is not easy. It is argued in this paper that non-linear system identification is suitable for modelling air vehicles of complex configuration. This approach is demonstrated through a laboratory test rig. Extensive time and frequency-domain model-validation tests are employed in order to instil confidence in the estimated model. The estimated model has a good predictive capability and can be utilized for non-linear flight simulation studies. Some aspects of the modelling approach presented may be relevant to flight mechanics modelling of new generations of air vehicle.

Original languageEnglish
Pages (from-to)197-208
Number of pages12
JournalProceedings of the Institution of Mechanical Engineers, Part G: Journal of Aerospace Engineering
Volume216
Issue number4
DOIs
StatePublished - 2002
Externally publishedYes

Keywords

  • Helicopter
  • Non-linear system identification
  • Radial basis function networks
  • Twin rotor MIMO system

ASJC Scopus subject areas

  • Aerospace Engineering
  • Mechanical Engineering

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