共 41 条
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
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页码:1654 / 1671
页数:18
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