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