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.

1.
Athans
M.
,
Kapasouris
P.
,
Kappos
E.
, and
Spang
H. A.
,
1986
, “
Linear-Quadratic Gaussian with Loop Transfer Recovery Methodology for the F-100 Engine
.”
Journal of Guidance, Control, and Dynamics
, Vol.
9
, No.
1
, pp.
45
52
.
2.
Binns, J., and North, M., 1991, “The Design of Multivariable Controller for Gas Turbine,” Proceedings of Control 91, Edinburgh, U.K.
3.
Grimble
M. J.
,
1990
, “
Design Procedure for Combined H, and LQG Cost Problem
,”
Int. J. System
, Vol.
21
, No.
1
, pp.
93
127
.
4.
Narendra
K. S.
, and
Parthasarathy
K.
,
1990
, “
Identification and Control of Dynamical Systems Using Neural Networks
,”
IEEE Trans.
, NN-1, No.
1
, pp.
4
27
.
5.
Psalties, D., Sideris, A. and Yamamura, A. A., 1988, “A Multilayered Neural Network Controller,” IEEE Control System Magazine, pp. 17–21.
6.
Rao, S. V., Moellenhoff, D., and Jaeger, J. A., 1988, “Linear State Variable Dynamic Model and Estimator Design for Allison T406 Gas Turbine Engine,” ASME Gas Turbine and Aeroengine Congress, Amsterdam, The Netherlands.
7.
Song
Q.
,
Wilkie
J.
, and
Grimble
M. J.
,
1993
, “
Robust Controller for Gas Turbines Based Upon LQG/LTR Design With Self-Tuning Features
,”
ASME JOURNAL OF DYNAMIC SYSTEMS, MEASUREMENT, AND CONTROL
, Vol.
115
, pp.
569
571
.
8.
Song, Q., and Grimble, M. J., 1995, “Design of a Multivariable Neural Controller and Its Application to Gas Turbines,” Proceedings of American Control Conference, Seattle, WA.
9.
Wu, Q. H., Hogg, B. W., and Irwin, G. W., 1992, “A Neural Network Regulator for Turbogenerators,” IEEE Trans. on Neural Networks, Vol. 3, No. 1.
This content is only available via PDF.
You do not currently have access to this content.