Title :
Optimal operation mode switching of dividing wall distillation based on model-predictive control
Author :
Hao Pan ; Haibin Yu ; Mingzhe Yuan
Author_Institution :
Shenyang Inst. of Autom., Shenyang, China
Abstract :
Dividing wall distillation(DWC) column is becoming a new standard of separating and purifying multivariate mixed liquid, because of DWC represents that forced operation will play a role in separation technology, which have high energy efficiency and compact structure. DWC is composed of a lot of equipments of diversified configurations, so it is complicated to operate process and requirements for specific or advanced control system technology. When operation objectives of DWC need to be online conversion, operation will be not smooth, etc. In order to solve these problems, we used two-layer control structure. The bottom layer was basic control layer(PID) and model-predictive control(MPC), and the top layer was predictive functional control(PFC) or fast model-predictive control(FMPC) which can realize operation optimizing function. The main objective is to achieve a smooth transition between the optimal mode switching and to ensure optimum goal can be realized. By implementation of proposed operating strategy in a four-component mixture Kaible column, the simulation results showed that this new method was feasible and concise.
Keywords :
distillation; distillation equipment; predictive control; purification; separation; three-term control; DWC column; PFC; PID control layer; dividing wall distillation column; energy efficiency; four-component mixture Kaible column; model predictive control; multivariate mixed liquid purification; multivariate mixed liquid separation; optimal operation mode switching; predictive functional control; proportional-integral-derivative control; Distillation equipment; Liquids; Mathematical model; Poles and towers; Process control; Switches; Dividing Wall Distillation; Fractionating Column; Model-Predictive Control; Optimal Operation; Process Control;
Conference_Titel :
Control and Decision Conference (CCDC), 2015 27th Chinese
Conference_Location :
Qingdao
Print_ISBN :
978-1-4799-7016-2
DOI :
10.1109/CCDC.2015.7161713