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Temperature control of vacuum dividing wall column-case study on oleochemical fatty acid fractionation

机译:吸尘器水分柱柱案例研究 - 油化学脂肪酸分馏

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Analysis of oleochemical compositions in distillation column often have large process delays.Inferential control is commonly used by means of stage temperature as the measured variable which provide more responsive in composition control.This work aims to evaluate the performance of temperature control in vacuum dividing wall column(VDWC)for fatty acid oleochemical fractionation.Product purity at 99% used as inferred parameter to determine the temperature.Sensitivity analysis was used to determine the relationship between stage and temperature difference for changes in the manipulated variables.The most sensitive tray was selected and implemented to a Distillate-Side Stream-Boilup(DSV)control configuration in Aspen Dynamics following the work by Othman(2019b).Controller adopted with PI and PID settings using Ziegler-Nichols(ZN)and Internal Model Control(IMC)tuning calculation method.Both methods were compared based on the settling time and overshoot.The best setting was then fine-tuned before tested to set point tracking without any disturbances.From the sensitive analysis,temperature at stage 6,29 and 34 were selected used as controlled variable which inferred distillate,middle and bottom product purity at 99% respectively.PID controller setting based on ZN method provide the best setup with fastest settling time and smallest overshoot and provide good performance for set point tracking.
机译:蒸馏塔中的油化学组合物的分析通常具有大的过程延迟。通过阶段温度通常用作测量变量的阶段温度,提供更响应于组合物控制的变量。该工作旨在评估真空分割壁柱温度控制的性能(VDWC)对于脂肪酸油化学分馏。99%的产量纯度用作推断参数以确定温度。敏感度分析用于确定阶段与温度差之间的关系,以进行操纵变量的变化。选择最敏感的托盘和在Othman(2019B)的工作之后,在Aspen Dynemics中实现为馏分侧流蒸发器(DSV)控制配置。使用Ziegler-Nichols(Zn)和内部模型控制(IMC)调谐计算方法使用PI和PID设置采用PI和PID设置的控制器基于沉降时间和过冲来比较。比较方法。然后是微调的最佳设置在测试之前,在没有任何干扰的情况下设定点跟踪。从敏感性分析,选择阶段6,29和34的温度,用作控制变量,其分别在99%以99%推断出馏分,中间和底层纯度。基于Zn方法的控制器设置.pid控制器设置提供最佳建立时间和最小过冲的最佳设置,并为设定点跟踪提供良好的性能。

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