Non-linear modelling of a one-degree-of-freedom twin-rotor multi-input system using radial basis function networks
Ahmad, S.M., Shaheed, M.H., Chipperfield, A.J. and Tokhi, M.O. (2002) Non-linear modelling of a one-degree-of-freedom twin-rotor multi-input system using radial basis function networks. Proceedings of the Institution of Mechanical Engineers, Part G: Journal of Aerospace Engineering, 216, (4), 197-208.
- Post print
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.
|Keywords:||helicopter, non-linear system identification, radial basis function networks, twin rotor mimo system|
|Subjects:||T Technology > TJ Mechanical engineering and machinery
Q Science > QA Mathematics
T Technology > TL Motor vehicles. Aeronautics. Astronautics
|Divisions:||University Structure - Pre August 2011 > School of Engineering Sciences
|Date Deposited:||20 Mar 2006|
|Last Modified:||27 Mar 2014 18:11|
|RDF:||RDF+N-Triples, RDF+N3, RDF+XML, Browse.|
Actions (login required)