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

Nonlinear modelling of a twin rotor MIMO system using radial basis function networks
Nonlinear modelling of a twin rotor MIMO system using radial basis function networks
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
313-320
IEEE
Ahmad, S.M.
dfae94d3-5041-4570-8ab9-ec89580d2036
Shaheed, M.H.
bcdd0100-ca9e-4099-8055-fa2f8eaa1ce2
Chipperfield, A.J.
524269cd-5f30-4356-92d4-891c14c09340
Tokhi, M.O.
afa8826e-1d37-4979-86b2-f3751e05873e
Ahmad, S.M.
dfae94d3-5041-4570-8ab9-ec89580d2036
Shaheed, M.H.
bcdd0100-ca9e-4099-8055-fa2f8eaa1ce2
Chipperfield, A.J.
524269cd-5f30-4356-92d4-891c14c09340
Tokhi, M.O.
afa8826e-1d37-4979-86b2-f3751e05873e

Ahmad, S.M., Shaheed, M.H., Chipperfield, A.J. and Tokhi, M.O. (2002) Nonlinear modelling of a twin rotor MIMO system using radial basis function networks. In National Aerospace and Electronics Conference, Proceedings of the IEEE: Engineering Tomorrow (Cat. No.00CH37093). IEEE. pp. 313-320 . (doi:10.1109/NAECON.2000.894926).

Record type: Conference or Workshop Item (Paper)

Abstract

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

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More information

Published date: 6 August 2002
Venue - Dates: National Aerospace and Electronics Conference (NAECON 2000): Proceedings of the IEEE 2000, , Dayton, OH, United States, 2000-10-10 - 2000-10-12

Identifiers

Local EPrints ID: 470210
URI: http://eprints.soton.ac.uk/id/eprint/470210
PURE UUID: 36e45605-0d1f-4f9d-8fcc-b035f5120fe3
ORCID for A.J. Chipperfield: ORCID iD orcid.org/0000-0002-3026-9890

Catalogue record

Date deposited: 04 Oct 2022 16:49
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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