摘要
磨机过负荷是磨矿过程的常见故障工况,如果不及时、准确处理,就会造成磨矿产品质量变坏甚至磨矿生产的停顿.采用规则推理(RBR)和统计过程控制(SPC)技术,提出了由SPC机制、过负荷监测模块和监督控制器构成的磨机负荷智能监测与控制方法.该方法通过对磨机过负荷的智能监测与诊断,由监督控制器自动修改控制回路的设定值,通过控制回路的输出跟踪修改后的设定值,使磨机负荷逐渐远离过负荷状态.工业应用表明,该方法能够实现磨矿生产的安全、稳定和连续运行.
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.
出处
《控制理论与应用》
EI
CAS
CSCD
北大核心
2008年第6期1095-1098,共4页
Control Theory & Applications
基金
国家自然科学基金重点资助项目(60534010)
国家973计划项目(2002CB312201)
国家863计划项目(2006AA04Z179
2007AA041405)
国家创新研究群体科学基金资助项目(60521003)
新世纪优秀人才支持计划(NCET–05–0294).
