%0 Journal Article
%T Intelligent monitoring and control of mill load for grinding processes<br>磨矿过程磨机负荷的智能监测与控制
%A ZHOU Ping
%A CHAI Tian-you
%A <br>周 平
%A 柴天佑
%J 控制理论与应用
%D 2008
%I 
%X Overload in mill is a work-situation fault that commonly occurred in grinding processes. This work-situation fault may cause the deterioration of the product quality and even a total collapse of the grinding production, if it is not detected and controlled in time. We propose an innovative approach for intelligent monitoring and control of the mill load(ML) using rule-based reasoning(RBR) and statistical process control(SPC) techniques. In this approach, we employ a SPC unit, a RBR-based ML monitoring module and an RBR-based supervisory controller to detect the imminent overload situation and automatically adjust the set-points of the control loops. The outputs of the controlled system track the modified set-points, making the ML deviate from the overload-situation gradually. The industrial application shows that this approach guarantees the grinding production of reliable and stable operations with less operational breakdowns.
%K mill load(ML)
%K intelligent monitoring
%K supervisory control
%K rules-based reasoning(RBR)
%K statistical process control(SPC)<br>磨机负荷(ML)
%K 智能监测
%K 监督控制
%K 规则推理(RBR)
%K 统计过程控制(SPC)
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=970898A57DFC021F93AB51667BAED7F7&aid=53AFF4BB42327A52AD0E33BFB70C8565&yid=67289AFF6305E306&vid=C5154311167311FE&iid=B31275AF3241DB2D&sid=4814830A427BF9BC&eid=4759DE41370E2E7A&journal_id=1000-8152&journal_name=控制理论与应用&referenced_num=4&reference_num=8