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Model Predictive Control of a High-Purity Internal Thermally Coupled Distillation Column
Chemical Engineering & Technology ( IF 1.8 ) Pub Date : 2021-05-06 , DOI: 10.1002/ceat.202000617
Ja'afar Sulaiman Zangina 1 , Wenhai Wang 1 , Weizhong Qin 2 , Weihua Gui 3 , Zeyin Zhang 1 , Shenghu Xu 2 , Chunhua Yang 3 , Yalin Wang 3 , Xinggao Liu 1
Affiliation  

The energy-saving potential of the internal thermally coupled air separation column (ITCASC) is well-established, but distinct dynamic characteristics and control loop interactions make it inflexible to control. To take care of high-purity ITCASC control complications, a state-space model predictive control (MPC) was formulated. A direct finite-horizon control approach was exploited to align the dynamic states with the model predictions. MPC-I and MPC-II were developed, and further compared to a previous adaptive multivariable generalized prediction control (AM-GPC). The results obtained show that the control performance of the proposed MPC-II is superior to that of MPC-I and AM-GPC.

中文翻译:

高纯内热耦合精馏塔的模型预测控制

内部热耦合空气分离塔 (ITCASC) 的节能潜力已经确立,但独特的动态特性和控制回路相互作用使其控制不灵活。为了处理高纯度 ITCASC 控制并发症,制定了状态空间模型预测控制 (MPC)。直接有限水平控制方法被用来使动态状态与模型预测保持一致。开发了 MPC-I 和 MPC-II,并进一步与以前的自适应多变量广义预测控制 (AM-GPC) 进行了比较。获得的结果表明,所提出的 MPC-II 的控制性能优于 MPC-I 和 AM-GPC。
更新日期:2021-06-18
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