Title :
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
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;
Conference_Titel :
Machine Learning and Cybernetics, 2005. Proceedings of 2005 International Conference on
Conference_Location :
Guangzhou, China
Print_ISBN :
0-7803-9091-1
DOI :
10.1109/ICMLC.2005.1527124
