%0 Journal Article
%T Optimal control for continuous bauxite grinding process in ball-mill<br>铝土矿连续磨矿过程球磨机优化控制
%A MA Tian-yu
%A GUI Wei-hua
%A <br>马天雨
%A 桂卫华
%J 控制理论与应用
%D 2012
%I 
%X Considering the reduction of power consumption of ball-mill, we propose a multi-objective multi-model predictive control for the continuous grinding process of bauxite with bauxite ores coming from different mine sources and with different qualities. In this method, we first build the state-space concentration-predictive model and the finenessprediction model based on the weighted multi-model of size-mass balance; and then, we develop an optimal multi-model predictive control scheme for optimizing multiple objectives including the interval control of concentration and fineness of the discharged ore pulp from the ball-mill, along with economic indices. The local optimal control law of the controller is obtained by minimizing a multiplier penalty function. The simulation and the field test results show the effectiveness of this method.
%K mineral grinding process
%K multiple model predictive control
%K multiple objective optimization
%K interval control
%K multiplier penalty function<br>磨矿过程
%K 多模型预测控制
%K 多目标优化
%K 区间控制
%K 乘子罚函数
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=970898A57DFC021F93AB51667BAED7F7&aid=704C627F8D202D5913EB29182292BF57&yid=99E9153A83D4CB11&vid=771469D9D58C34FF&iid=F3090AE9B60B7ED1&sid=59D5B0EDB2D8DABC&eid=AFB21040E5F48417&journal_id=1000-8152&journal_name=控制理论与应用&referenced_num=0&reference_num=0