Intelligent Modeling and Predictive Control of Pre-grinding System

摘要：

Stably controlling the pre-grinding process is paramount important for improving the operational efficiency and significantly reducing production costs in cement plants． Recognizing the complexity in both structure and operation of the pre-grinding process，this paper proposed a fuzzy and model predictive control system to stabilize and optimize the pre-grinding process．Based on the available techniques and system analysis,it is divided into two different subsystems． One is handled by Fuzzy Logic Control (FLC)．and the other is implemented by Linear Matrix Inequality(LMI)-based Model Predictive Control(MPC) based on the modeL achieved by Least Square Support Vector Machine(LS-SVM) regression． With this approach,the control parameters can be obtained online by the use of aforementioned algorithms and applied to the pre-grinding system by using OLE for Process Control (OPC) and relevant software．The trail system has been deployed in the field and its operation clearly demonstrates the effectiveness and feasibility of this control system in practice．

关键词： Pre-grinding system FLC LS-SVM LMI MPC

作者: Zhipeng Liu Qiang Yang Wenjun Yah

作者单位: College of Electrical Engineering Zhejiang University,Hangzhou,310027,P.R.China

会议类型: 国际会议

会议名称: 2011 International Conference on Manufacturing and Industrial Engineering(ICMIE 2011)(2011年制造及工业工程国际会议)

会议地点: 海口

会议语种:英文

页码: 303-307

在线出版日期: 2011-02-22（万方平台首次上网日期，不代表论文的发表时间）