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TECHNICAL BRIEFS

Design of a Multivariable Neural Controller and Its Application to Gas Turbines

[+] Author and Article Information
Q. Song

School of Electrical and Electronic Engineering, Nanyang Technological University, Singapore 639798

M. J. Grimble

Industrial Control Centre, University of Strathclyde, Graham Hills Building, 50 George Street, Glasgow, UK, G1 1QE

J. Dyn. Sys., Meas., Control 119(3), 565-567 (Sep 01, 1997) (3 pages) doi:10.1115/1.2801295 History: Received September 20, 1994; Online December 03, 2007

Abstract

The algorithm for a multivariable controller using neural network is based on a discrete-time fixed controller and the neural network provides a compensation signal to suppress the nonlinearity. The multivariable neural controller is easy to train and applied to an aircraft gas turbine plant.

Copyright © 1997 by The American Society of Mechanical Engineers
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