Title :
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
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;
Conference_Titel :
Mechatronic Sciences, Electric Engineering and Computer (MEC), Proceedings 2013 International Conference on
Conference_Location :
Shengyang
Print_ISBN :
978-1-4799-2564-3
DOI :
10.1109/MEC.2013.6885069
