Fuzzy logic based on-line efficiency optimization control of a ball mill grinding circuit

被引:9
|
作者
Chen, Xisong [1 ]
Zhai, Junyong [1 ]
Li, Qi [1 ]
Fei, Shumin [1 ]
机构
[1] Southeast Univ, Sch Automat, Nanjing, Peoples R China
来源
FOURTH INTERNATIONAL CONFERENCE ON FUZZY SYSTEMS AND KNOWLEDGE DISCOVERY, VOL 2, PROCEEDINGS | 2007年
关键词
D O I
10.1109/FSKD.2007.329
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
Grinding circuit must provide stable particle size distribution and should also operate in a way to maximize mill efficiency. Fuzzy logic based on-line optimization control integrated in an expert system was developed to control product particle size while enhancing mill efficiency in a ball mill grinding circuit. In the supervisory level, fuzzy logic control determined the optimum set-points for the controllers in the regulatory level. The whole system not only ensured a long-term stableness of particle size even ore hardness has changed but also increased the mill efficiency more than 8 percent in practical application compared with conventional control. More than half a year's industrial operation demonstrates the practicality, reliability and effectiveness of the suggested control strategy.
引用
收藏
页码:575 / +
页数:2
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