The application of bp neural predictive fuzzy control in cement grate cooler system

Author

Li Shengwang ; Liu Zhen ; Kang Xu

Author_Institution

Dept. of Inf. Sci. & Eng., Hebei Univ. Of Sci. & Technol., Shijiazhuang, China

fYear

2013

fDate

20-22 Dec. 2013

Firstpage

181

Lastpage

184

Abstract

This paper analyzes the working principle of grate cooler system and the main factors that affect the efficiency of grate cooler system. By applying the improved BP(back propagation) algorithm in neural network modeling, make the neural network predicts the grate chamber pressure, then modify the grate speed value that obtained by the fuzzy controller to control the grate chamber pressure. The field application shows that the proposed control algorithm is superior to traditional PID control algorithm.

Keywords

backpropagation; cements (building materials); control system synthesis; cooling; fuzzy control; neurocontrollers; pressure control; velocity control; BP neural predictive fuzzy control; PID control algorithm; backpropagation; cement grate cooler system; fuzzy controller; grate chamber pressure control; grate speed value; neural network modeling; proportional-integral-derivative control; Biological neural networks; Fuzzy control; Niobium; Prediction algorithms; Predictive control; Production; BP neural network; fuzzy control; grate cooler; predictive control;

fLanguage

English

Publisher

ieee

Conference_Titel

Mechatronic Sciences, Electric Engineering and Computer (MEC), Proceedings 2013 International Conference on

Conference_Location

Shengyang

Print_ISBN

978-1-4799-2564-3

Type

conf

DOI

10.1109/MEC.2013.6885069

Filename

6885069