摘要
针对磨矿过程的关键工艺指标——磨矿粒度难以用现有控制方法进行有效控制的难题,提出一种由模糊监督器、磨矿控制回路预设定模型和磨矿粒度预报器组成的磨矿过程多变量模糊监督控制(MFSC)方法.MFSC方法用于对磨矿过程进行监督,根据工况变化对回路控制器设定值进行调整.通过控制回路跟踪调整后的设定值,可将磨矿粒度控制在期望目标范围内.工业试验表明了所提出方法的有效性.
Grinding particle size is a key technical index in mineral grinding process, which is so difficult to control effectively with existing conventional control strategies. A multivariable fuzzy supervisory control （MFSC） approach for grinding circuit is proposed. This approach consists of a fuzzy supervisor, a grinding control loop presetting model and a particle size predictor, which is used to supervise the grinding system and then auto-adjust the setpoints of lower level controllers in response to the changes in operational conditions. The outputs of lower level control system track their renewed setpoints, which maks the grinding particel size within the desired range. Industrial experiments show the effectiveness of the proposed MFSC approach.
出处
《控制与决策》
EI
CSCD
北大核心
2008年第6期685-688,共4页
Control and Decision
基金
国家自然科学基金重点项目(60534010)
国家创新研究群体科学基金项目(60521003)
国家973计划项目(2002CB312201)
国家863计划项目(2006AA04Z179,2007AA041405)
新世纪优秀人才支持计划项目(NCET-05-0294)
关键词
多变量模糊监督控制
磨矿过程
磨矿粒度
Multivariable fuzzy supervisory control （MFSC）
Mineral ginding process~ Grinding particel size
