Non-linear modelling of a one-degree-of-freedom twin-rotor multi-input system using radial basis function networks
Non-linear modelling of a one-degree-of-freedom twin-rotor multi-input system using radial basis function networks
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.
helicopter, non-linear system identification, radial basis function networks, twin rotor mimo system
197-208
Ahmad, S.M.
676dbe06-3934-463c-8ba4-e44a98bf0d43
Shaheed, M.H.
bcdd0100-ca9e-4099-8055-fa2f8eaa1ce2
Chipperfield, A.J.
524269cd-5f30-4356-92d4-891c14c09340
Tokhi, M.O.
e5d7c236-781f-4aa6-9fab-c3db3154149b
2002
Ahmad, S.M.
676dbe06-3934-463c-8ba4-e44a98bf0d43
Shaheed, M.H.
bcdd0100-ca9e-4099-8055-fa2f8eaa1ce2
Chipperfield, A.J.
524269cd-5f30-4356-92d4-891c14c09340
Tokhi, M.O.
e5d7c236-781f-4aa6-9fab-c3db3154149b
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), .
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.
Text
ahma_02.pdf
- Accepted Manuscript
More information
Published date: 2002
Keywords:
helicopter, non-linear system identification, radial basis function networks, twin rotor mimo system
Identifiers
Local EPrints ID: 22251
URI: http://eprints.soton.ac.uk/id/eprint/22251
PURE UUID: 04253537-d593-4d21-ac73-5564ac8d10fb
Catalogue record
Date deposited: 20 Mar 2006
Last modified: 16 Mar 2024 03:31
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Contributors
Author:
S.M. Ahmad
Author:
M.H. Shaheed
Author:
M.O. Tokhi
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