碳酸氢钠喷雾干燥过程的仿真研究  被引量:3

Simulation study on spray drying process of sodium bicarbonate

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作  者:邓益平 张雷[1] DENG Yi-ping;ZHANG Lei(College of Chemistry & Chemical Engineering,Southwest Petroleum University,Chengdu 610500,China)

机构地区:[1]西南石油大学化学化工学院

出  处:《现代化工》2019年第6期210-214,共5页Modern Chemical Industry

摘  要:以碳酸氢钠浆料的喷雾干燥过程为研究对象,应用Aspen Plus进行模拟计算,经喷雾干燥塔干燥后,所得苏打粉产品符合工业生产要求。通过灵敏度分析得出干燥空气的进口温度变化是影响喷雾干燥过程的主要因素。在此基础上,提出了在Matlab中建立以排风温度为主被控量、进风温度为副被控量的控制策略。并通过将单纯串级PID控制、复合模糊PID控制和带Smith预估器的复合模糊双回路串级控制的控制结果进行对比,得出带Smith预估器的复合模糊双回路串级控制系统超调小,进入稳定过程较快,控制品质好,是实现喷雾干燥温度控制的一种有效方法,适用于工业生产。Taking the spray drying process of sodium bicarbonate slurry as the research object, Aspen Plus is used for the simulation calculation.After drying by the spray drying tower,the obtained sodium bicarbonate powder product can meet the industrial production requirements. Through sensitivity analysis, it is concluded that the change of inlet temperature of dry air is the main factor affecting the spray drying process.On this basis, a control strategy is established in Matlab with the exhaust air temperature as the main controlled quantity and the inlet air temperature as the secondary controlled quantity. By comparing the control results of simple cascade PID control, composite fuzzy PID control and compound fuzzy dual-loop cascade control with Smith predictor, it is shown that the composite fuzzy double-loop cascade control system with Smith predictor exhibits smaller adjustment, faster entry into the stabilization process and better control quality, which is an effective method to achieve spray drying temperature control and suitable for industrial production.

关 键 词:碳酸氢钠 喷雾干燥 模拟 模糊控制 PID控制 

分 类 号:TQ028[化学工程]

 

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