Nonlinear Model Predictive Control for Thrust Tracking of a Gas Turbine

Author

Diwanji, Vivek ; Godbole, Amit ; Waghode, Nitesh

Author_Institution

EIS R&D, Mumbai

fYear

2006

fDate

15-17 Dec. 2006

Firstpage

3044

Lastpage

3048

Abstract

In this paper, we investigate application of Nonlinear Model Predictive Control (NMPC) for controlling thrust of a single spool gas turbine engine. We showcase the development of a nonlinear black-box model based on Weiner modeling approach. The model consists of linear dynamic block parameterized by Laguerre, orthonormal basis functions, followed by a static nonlinear block captured in Artificial Neural Network (ANN). This model is used to predict gas turbine performance and a closed-loop controller is realized using NMPC formulation.

Keywords

closed loop systems; engines; gas turbines; neurocontrollers; nonlinear control systems; predictive control; artificial neural network; closed-loop controller; nonlinear black-box model; nonlinear model predictive control; orthonormal basis functions; single spool gas turbine engine; static nonlinear block; thrust tracking; Control systems; Engines; Fuels; Nonlinear control systems; Open loop systems; Power system modeling; Predictive control; Predictive models; Research and development; Turbines;

fLanguage

English

Publisher

ieee

Conference_Titel

Industrial Technology, 2006. ICIT 2006. IEEE International Conference on

Conference_Location

Mumbai

Print_ISBN

1-4244-0726-5

Electronic_ISBN

1-4244-0726-5

Type

conf

DOI

10.1109/ICIT.2006.372716

Filename

4238038