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

Non-linear modelling of a one-degree-of-freedom twin-rotor multi-input multi-output system using radial basis function networks
Non-linear modelling of a one-degree-of-freedom twin-rotor multi-input multi-output 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
non-linear system identification, twin rotor MIMO system, radial basis function networks, helicopter
2041-3025
197-208
Ahmad, S.M.
33fccc9f-07f4-4466-9140-fa00a1db9079
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.
33fccc9f-07f4-4466-9140-fa00a1db9079
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 multi-output system using radial basis function networks. Proceedings of the Institution of Mechanical Engineers, Part G: Journal of Aerospace Engineering, 216 (4), 197-208. (doi:10.1243/09544100260369731).

Record type: Article

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

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More information

Published date: 1 April 2002
Keywords: non-linear system identification, twin rotor MIMO system, radial basis function networks, helicopter

Identifiers

Local EPrints ID: 470190
URI: http://eprints.soton.ac.uk/id/eprint/470190
ISSN: 2041-3025
PURE UUID: 64dec535-9b62-49d2-8aea-3e6a7ff0da64
ORCID for A.J. Chipperfield: ORCID iD orcid.org/0000-0002-3026-9890

Catalogue record

Date deposited: 04 Oct 2022 16:46
Last modified: 17 Mar 2024 02:56

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Contributors

Author: S.M. Ahmad
Author: M.H. Shaheed
Author: M.O. Tokhi

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