Moving horizon approach of integrating scheduling and control for sequential batch processes

被引:46
|
作者
Chu, Yunfei [1 ]
You, Fengqi [1 ]
机构
[1] Northwestern Univ, Dept Chem & Biol Engn, Evanston, IL 60208 USA
关键词
scheduling; advanced manufacturing; mixed-integer dynamic optimization; model predictive control; batch processes; ENTERPRISE-WIDE OPTIMIZATION; CLOSED-LOOP IMPLEMENTATION; DYNAMIC OPTIMIZATION; MIXED-INTEGER; ROLLING-HORIZON; MINLP MODELS; UNCERTAINTY; ALGORITHM; HEURISTICS; NETWORKS;
D O I
10.1002/aic.14359
中图分类号
TQ [化学工业];
学科分类号
0817 ;
摘要
Online integration of scheduling and control is crucial to cope with process uncertainties. We propose a new online integrated method for sequential batch processes, where the integrated problem is solved to determine controller references rather than process inputs. Under a two-level feedback loop structure, the integrated problem is solved in a frequency lower than that of the control loops. To achieve the goal of computational efficiency and rescheduling stability, a moving horizon approach is developed. A reduced integrated problem in a resolving horizon is formulated, which can be solved efficiently online. Solving the reduced problem only changes a small part of the initial solution, guaranteeing rescheduling stability. The integrated method is demonstrated in a simulated case study. Under uncertainties of the control system disruption and the processing unit breakdown, the integrated method prevents a large loss in the production profit compared with the simple shifted rescheduling solution. (c) 2014 American Institute of Chemical Engineers AIChE J, 60: 1654-1671, 2014
引用
收藏
页码:1654 / 1671
页数:18
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