粉煤灰自动分选仿真模型研究  

Research on emulational model for auto-seperating coal ash

作　　者：琚春华[1] 刘东升[1] 

机构地区：[1]浙江工商大学计算机与信息工程学院,杭州310035

出　　处：《仪器仪表学报》2006年第z3期2504-2505,共2页Chinese Journal of Scientific Instrument

基　　金：教育部高等学校博士点专项基金(20050353003)

摘　　要：针对目前粉煤灰分选系统自动化程度不高、细灰质量波动大等问题,根据随机辨识以及气固两相流理论,对现有分选设备以及粉煤灰分布特性进行研究,建立关于粉煤灰特性(主要是细度)与原灰、分选设备设计参数、控制变量之间的软测量模型,并以此模型在线估计细度及分布特性,实现闭环控制,达到实时调节粉煤灰细度自动调节和优化的目的。At present, the automatism of coal powder selection system is not high and the quality of coal powder fluctuates greatly. So we study the selection equipment in existence and powder distribution characteristic, and build up a soft-measuring model about the coal powder (mainly granule degree), original coal ash, selection equipment and control parameters based on the theory of random discrimination and the bi-flow between gas and solid. Thus the granule degree and distributing characteristic can be evaluated online by this model, and the granule degree can also be adjusted and optimized automatically with the closed loop control.

关 键 词：软测量 粉煤灰 分选 闭环控制 

分 类 号：TH7-55[机械工程—仪器科学与技术]