Application based on neural network of the boiler optimal control in power station

Author

Li, Hui ; Zhang, De-jiang ; Lin, Jun ; Li, Wen-Xue

Author_Institution

Sch. of Electr. & Electron. Eng., Changchun Univ. of Technol., China

Volume

2

fYear

2005

fDate

18-21 Aug. 2005

Firstpage

1192

Abstract

The paper studies optimal boiler control based on artificial neural networks. The method below is a combinative arithmetic including RBF (radial basis function), BP (back propagation) and PID (proportional integral differential) control algorithm, which is efficient to adapt the nonlinear boiler burning system. Simulation result shows that this method has got the adaptive characters, and it can satisfy the anticipated demand.

Keywords

adaptive control; backpropagation; boilers; nonlinear control systems; optimal control; power generation control; radial basis function networks; thermal power stations; three-term control; back propagation; boiler optimal control; neural network; nonlinear boiler burning system; power station; proportional integral differential control algorithm; radial basis function; Arithmetic; Artificial neural networks; Boilers; Neural networks; Nonlinear control systems; Optimal control; Pi control; Power generation; Proportional control; Three-term control; Artificial neural networks; PID control; boiler burning Control;

fLanguage

English

Publisher

ieee

Conference_Titel

Machine Learning and Cybernetics, 2005. Proceedings of 2005 International Conference on

Conference_Location

Guangzhou, China

Print_ISBN

0-7803-9091-1

Type

conf

DOI

10.1109/ICMLC.2005.1527124

Filename

1527124