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
相关论文
共 41 条
[1]   A Multiobjective Optimization Approach for the Simultaneous Single Line Scheduling and Control of CSTRs [J].
Angel Gutierrez-Limon, Miguel ;
Flores-Tlacuahuac, Antonio ;
Grossmann, Ignacio E. .
INDUSTRIAL & ENGINEERING CHEMISTRY RESEARCH, 2012, 51 (17) :5881-5890
[2]   Executing production schedules in the face of uncertainties: A review and some future directions [J].
Aytug, H ;
Lawley, MA ;
McKay, K ;
Mohan, S ;
Uzsoy, R .
EUROPEAN JOURNAL OF OPERATIONAL RESEARCH, 2005, 161 (01) :86-110
[3]   Dynamic optimization in a discontinuous world [J].
Barton, PI ;
Allgor, RJ ;
Feehery, WF ;
Galan, S .
INDUSTRIAL & ENGINEERING CHEMISTRY RESEARCH, 1998, 37 (03) :966-981
[4]   Rolling-horizon and fix-and-relax heuristics for the parallel machine lot-sizing and scheduling problem with sequence-dependent set-up costs [J].
Beraldi, Patrizia ;
Ghiani, Gianpaolo ;
Grieco, Antonio ;
Guerriero, Emanuela .
COMPUTERS & OPERATIONS RESEARCH, 2008, 35 (11) :3644-3656
[5]   Improved Short-Term Batch Scheduling Flexibility Using Variable Recipes [J].
Capon-Garcia, Elisabet ;
Moreno-Benito, Marta ;
Espuna, Antonio .
INDUSTRIAL & ENGINEERING CHEMISTRY RESEARCH, 2011, 50 (09) :4983-4992
[6]   Global mixed-integer dynamic optimization [J].
Chachuat, B ;
Singer, AB ;
Barton, PI .
AICHE JOURNAL, 2005, 51 (08) :2235-2253
[7]   Hybrid method integrating agent-based modeling and heuristic tree search for scheduling of complex batch processes [J].
Chu, Yunfei ;
You, Fengqi ;
Wassick, John M. .
COMPUTERS & CHEMICAL ENGINEERING, 2014, 60 :277-296
[8]   Integration of Scheduling and Dynamic Optimization of Batch Processes under Uncertainty: Two-Stage Stochastic Programming Approach and Enhanced Generalized Benders Decomposition Algorithm [J].
Chu, Yunfei ;
You, Fengqi .
INDUSTRIAL & ENGINEERING CHEMISTRY RESEARCH, 2013, 52 (47) :16851-16869
[9]   Integration of production scheduling and dynamic optimization for multi-product CSTRs: Generalized Benders decomposition coupled with global mixed-integer fractional programming [J].
Chu, Yunfei ;
You, Fengqi .
COMPUTERS & CHEMICAL ENGINEERING, 2013, 58 :315-333
[10]   Integrated Scheduling and Dynamic Optimization of Complex Batch Processes with General Network Structure Using a Generalized Benders Decomposition Approach [J].
Chu, Yunfei ;
You, Fengqi .
INDUSTRIAL & ENGINEERING CHEMISTRY RESEARCH, 2013, 52 (23) :7867-7885