Title :
A rule-based cement kiln control system using neural networks
Author :
Bo, Yang ; Yi, Li ; Shouning, Qu
Author_Institution :
Dept. of Inf. & Control Eng., Shandong Univ. of Building Mater., Jinan, China
Abstract :
The application of knowledge based systems in process control is now growing apparently, especially in the control of complicated systems. A rule based cement kiln control system using neural networks is presented. A description method of the control rules for cement kiln is first introduced. Then, an implementation scheme making use of object oriented programming is discussed. Based on this method, the hardware and software architecture of the cement kiln control system are presented. The system presents a combination of traditional PID control and knowledge based supervisory control, and has been successfully used for the control of several cement kilns
Keywords :
cement industry; furnaces; intelligent control; neurocontrollers; object-oriented programming; process control; three-term control; control rules; implementation scheme; knowledge based supervisory control; knowledge based systems; neural networks; object oriented programming; process control; rule based cement kiln control system; software architecture; traditional PID control; Control systems; Hardware; Kilns; Knowledge based systems; Neural networks; Object oriented programming; Process control; Software architecture; Supervisory control; Three-term control;
Conference_Titel :
Intelligent Processing Systems, 1997. ICIPS '97. 1997 IEEE International Conference on
Conference_Location :
Beijing
Print_ISBN :
0-7803-4253-4
DOI :
10.1109/ICIPS.1997.672831
