Title :
Design of a multivariable neural controller and its application to gas turbines
Author :
Song, Q. ; Grimble, M.J.
Author_Institution :
Sch. of Electr. & Electron. Eng., Nanyang Technol. Univ., Singapore
Abstract :
The algorithm for a multivariable controller using neural network is described. It is based on a discrete-time fixed controller and the neural network provides a compensation signal to suppress the nonlinearities. The multivariable neural controller was applied to the aircraft gas turbine controller
Keywords :
aircraft control; compensation; discrete time systems; gas turbines; multivariable control systems; neural nets; neurocontrollers; nonlinear systems; aircraft engine; compensation signal; discrete-time fixed controller; gas turbines; multivariable neural controller; neural network; nonlinearity suppression; Artificial neural networks; Control systems; Delay effects; Electronic mail; Industrial control; Industrial electronics; Neural networks; Nonlinear dynamical systems; Turbines; Vectors;
Conference_Titel :
American Control Conference, Proceedings of the 1995
Conference_Location :
Seattle, WA
Print_ISBN :
0-7803-2445-5
DOI :
10.1109/ACC.1995.531381
