DocumentCode :
183482
Title :
Moving-horizon method for integrating scheduling and control
Author :
Yunfei Chu ; Fengqi You
Author_Institution :
Dept. of Chem. & Biol. Eng., Northwestern Univ., Evanston, IL, USA
fYear :
2014
fDate :
4-6 June 2014
Firstpage :
2948
Lastpage :
2953
Abstract :
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. To achieve the goal of computational efficiency and rescheduling stability, a rolling horizon approach is developed. A reduced integrated problem in a re-solving 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.
Keywords :
integer programming; manufacturing processes; nonlinear programming; process control; scheduling; controller reference; moving-horizon method; online integrated method; process uncertainties; rescheduling stability; rolling horizon approach; scheduling-control integration; sequential batch process; Differential equations; Dynamic scheduling; Inductors; Mathematical model; Process control; Schedules; Uncertainty; Manufacturing systems; Optimal control; Optimization;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
American Control Conference (ACC), 2014
Conference_Location :
Portland, OR
ISSN :
0743-1619
Print_ISBN :
978-1-4799-3272-6
Type :
conf
DOI :
10.1109/ACC.2014.6858594
Filename :
6858594
Link To Document :
بازگشت