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Nonlinear modelling of a twin rotor MIMO system using radial basis function networks

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4 Author(s)
Ahmad, S.M. ; Dept. of Autom. Control & Syst. Eng., Sheffield Univ., UK ; Shaheed, M.H. ; Chipperfield, A.J. ; Tokhi, M.O.

Modelling of innovative aircraft such as UAVs, X-wing, tilt body and delta-wing is not easy. This paper presents a nonlinear system identification method for modelling air vehicles of complex configuration. This approach is demonstrated through a laboratory helicopter. Extensive time and frequency-domain model-validation tests are employed to instil confidence in the estimated model. The estimated model has a good predictive capability and can be utilized for nonlinear flight simulation studies. The approach presented is suitable for modelling new generation air vehicles

Published in:

National Aerospace and Electronics Conference, 2000. NAECON 2000. Proceedings of the IEEE 2000

Date of Conference:

2000