摘要
冶金工业赤铁矿强磁选过程具有强非线性、不确定性且难以用数学模型描述。采用常规控制方法,难以将其工艺指标精矿品位与尾矿品位的实际值控制在目标值范围内。为此结合案例推理、规则推理等智能技术,开发了强磁选过程智能优化设定控制系统,并应用于国内某赤铁矿选矿厂强磁选过程,实现了强磁选过程的精矿品位、尾矿品位的智能优化控制。
Hematite high intensity magnetic separating process of metallurgy industry has the complexity of nonlinearity, uncertainty and it is difficult to describe with accurate mathematical models. It’s difficult to control the concentrate grade and tailing grade in the areas of target values by general control method. So the optimization setting control system was developed, combining with the intelligence technology of RBR, CBR. The system was applied to the high intensity magnetic separating process in some hematite concentrate plant, and the optimization control of concentrate grade and tailing grade was realized.
出处
《系统仿真学报》
EI
CAS
CSCD
北大核心
2008年第22期6242-6247,共6页
Journal of System Simulation
基金
国家重点基础研究发展计划(973)项目(2002CB312201)
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)
长江学者和创新团队发展计划资助(IRT0421).
关键词
强磁选过程
智能控制
案例推理
规则推理
优化设定
high intensity magnetic separating process,intelligent control,case-based reasoning （CBR）,rule-based reasoning （RBR）,optimization setting
