当前位置: X-MOL 学术Isa Trans. › 论文详情
Our official English website, www.x-mol.net, welcomes your feedback! (Note: you will need to create a separate account there.)
Model predictive control of azeotropic dividing wall distillation column for separating furfural–water mixture
ISA Transactions ( IF 7.3 ) Pub Date : 2020-10-28 , DOI: 10.1016/j.isatra.2020.10.068
Xing Qian , Shengkun Jia , Kejin Huang , Haisheng Chen , Yang Yuan , Liang Zhang

Dividing wall distillation columns (DWDCs) are effective technologies for distillation process intensifications. Azeotropic DWDCs (ADWDCs) are effective process intensification technologies to further intensify distillation process through combination of azeotropic distillation (AD) with DWDC. Investigations on the controllability and operation ability of ADWDC are mainly employing the traditional proportional–integral (PI) control schemes. Because of the inherent complicated configuration of ADWDC, the PI control leads to relatively poor dynamic performances. So as to enhance the dynamic performances, composition control scheme employing the advanced model predictive control (MPC) for an ADWDC separating furfural and water is studied in this paper. Although there are several studies employing MPC for DWDC, few investigation has been done on using MPC for ADWDC which is more interactive than DWDC. The dynamic results obtained in this paper using MPC are compared with the corresponding PI control scheme. Although the steady-state deviations and numbers of oscillations are similar employing PI control and MPC, the settling time and maximum deviations are smaller using MPC. MPC can considerably suppress the maximum deviation in face of +20% feed flow rate disturbance from -1.449% to -0.013%, and the corresponding settling time is reduced from 4.28 h to 2.20 h. These prove that MPC is more suitable than PI control for ADWDC. This paper provides new effective control scheme for the complex and highly interactive ADWDC, and verifies that MPC is a promising method for ADWDC to provide better dynamic performances with reduced maximum deviations and shortened settling time.



中文翻译:

共沸分隔壁蒸馏塔分离糠醛-水混合物的模型预测控制

分隔壁蒸馏塔(DWDC)是强化蒸馏过程的有效技术。共沸DWDC(ADWDC)是有效的工艺强化技术,可通过将共沸蒸馏(AD)与DWDC结合来进一步强化蒸馏过程。对ADWDC的可控性和操作能力的研究主要采用传统的比例积分(PI)控制方案。由于ADWDC固有的复杂配置,PI控制导致相对较差的动态性能。为了提高动态性能,本文研究了采用先进模型预测控制(MPC)的糠醛和水分离ADWDC的成分控制方案。尽管有多项研究将MPC用于DWDC,关于将MPC用于ADWDC的研究很少,这比DWDC更具交互性。将本文使用MPC获得的动态结果与相应的PI控制方案进行比较。尽管使用PI控制和MPC时稳态偏差和振荡次数相似,但使用MPC时稳定时间和最大偏差更小。MPC可以将+ 20%进料流速扰动的最大端面偏差从-1.449%抑制到-0.013%,并且相应的沉降时间从4.28 h减少到2.20 h。这些证明MPC比PI控制更适合ADWDC。本文为复杂且高度互动的ADWDC提供了新的有效控制方案,

更新日期:2020-10-28
down
wechat
bug