闪速熔炼气流干燥优化控制系统的设计与实现

Design and Implementation of the Optimal Control System for Pneumatic Conveying Drying in Flash Smelting

针对气流干燥过程水分难以稳定的问题,设计了一个由水分软测量模型和氮气专家控制器组成的双反馈控制系统.通过智能协调得到软测量的输出,结合约束条件,采用遗传算法搜索燃油量的最优值;由氮气专家控制器来调节氮气量,从而改变回转窑窑头含氧率,使精矿不着火.通过这两个反馈调节,使得耗氮量和燃油量同时达到最小.工业数据验证表明,累计平均耗氮量和燃油量分别下降了1.4%和0.3%.*

For the problem that moisture in pneumatic conveying drying is difficult to be stabilized, a dual-feedback control system composed of a soft-sensing model for moisture and an expert controller for nitrogen gas is put forward. The output of the soft-sensing model is obtained by an intelligent coordinator. The optimal value of fuel is searched using genetic algorithm based on the constraints, and the oxygen content in front of rotary-kiln is adjusted with the expert controller for nitrogen gas in order to ensure the ore concentrate not to eombust. The least value of fuel and nitrogen gas is obtained simultaneously by the dual-feedback control. The scheme is tested by industrial data, and its average value of the fuel and nitrogen gas is decreased by 1.4% and 0.3% respectively.