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Neurofuzzy Identification and Control of a Gas Turbine Jet Engine

Record type: Conference or Workshop Item (Other)

In this paper the neurofuzzy network identification and control of an aero gas turbine jet engine is described. The system dynamics belong to a specific class of nonlinear systems whose linear parameters are unknown nonlinear functions of some measurable operating points of the system. A neurofuzzy unit is used to identify each nonlinear function; each unit contains a set of linguistic rules whose inputs are the measurable operating points of the system over the operating space and whose outputs are estimated values of the nonlinear parameters. The estimated values are then used in the design of controllers at critical points in the flight envelope which are then synthesised by gain scheduling against the operating point. Convergence and stability results for the modelling algorithm can be proven.

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Citation

Bridgett, N.A. and Harris, C.J. (1994) Neurofuzzy Identification and Control of a Gas Turbine Jet Engine At Int. Symp. on Signal Processing, Robotics And Neural Networks.

More information

Published date: 1994
Additional Information: Organisation: IMACS Address: Lille, France
Venue - Dates: Int. Symp. on Signal Processing, Robotics And Neural Networks, 1994-01-01
Organisations: Southampton Wireless Group

Identifiers

Local EPrints ID: 250237
URI: http://eprints.soton.ac.uk/id/eprint/250237
PURE UUID: 8eb1ea1e-a286-48d7-9e27-71fcefa5676c

Catalogue record

Date deposited: 04 May 1999
Last modified: 18 Jul 2017 10:43

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Contributors

Author: N.A. Bridgett
Author: C.J. Harris

University divisions


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