Title :
Fuzzy-neural decoupling control system based on PLC for ball mill of power plant
Author :
Hong, Zhou ; Zhibin, Li ; Disha, Zhou
Author_Institution :
Dept. of Autom., Wuhan Univ., China
Abstract :
Based on PLC, and aiming at the operating characteristics of a ball mill, a new kind of fuzzy-neural decoupled control system is presented. The control system, which is simple, is easily implemented and is fit for the control of complex multivariable systems like ball mills. Simulation results show that the control system has good performance and more robustness. In practical control engineering, it can improve the reliability of tube mills and decrease their power consumption.
Keywords :
control system synthesis; fuzzy control; fuzzy neural nets; machining; materials preparation; multivariable control systems; neurocontrollers; power stations; process control; programmable controllers; robust control; PLCs; complex multivariable systems; fuzzy-neural decoupling control system; operating characteristic; power plant ball mill; robustness; Ball milling; Control engineering; Control system synthesis; Control systems; MIMO; Milling machines; Power generation; Power system reliability; Programmable control; Robust control;
Conference_Titel :
Power System Technology, 2002. Proceedings. PowerCon 2002. International Conference on
Print_ISBN :
0-7803-7459-2
DOI :
10.1109/ICPST.2002.1047203
