Moving-horizon method for integrating scheduling and control

Yunfei Chu; Fengqi You

doi:10.1109/ACC.2014.6858594

Moving-horizon method for integrating scheduling and control

Yunfei Chu, Fengqi You^*

^*Corresponding author for this work

Chemical and Biological Engineering

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

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.

Original language	English (US)
Title of host publication	2014 American Control Conference, ACC 2014
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	2948-2953
Number of pages	6
ISBN (Print)	9781479932726
DOIs	https://doi.org/10.1109/ACC.2014.6858594
State	Published - Jan 1 2014
Event	2014 American Control Conference, ACC 2014 - Portland, OR, United States Duration: Jun 4 2014 → Jun 6 2014

Publication series

Name	Proceedings of the American Control Conference
ISSN (Print)	0743-1619

Other

Other	2014 American Control Conference, ACC 2014
Country/Territory	United States
City	Portland, OR
Period	6/4/14 → 6/6/14

Keywords

Manufacturing systems
Optimal control
Optimization

ASJC Scopus subject areas

Electrical and Electronic Engineering

Access to Document

10.1109/ACC.2014.6858594

Cite this

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title = "Moving-horizon method for integrating scheduling and control",

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.",

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author = "Yunfei Chu and Fengqi You",

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doi = "10.1109/ACC.2014.6858594",

language = "English (US)",

isbn = "9781479932726",

series = "Proceedings of the American Control Conference",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

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booktitle = "2014 American Control Conference, ACC 2014",

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note = "2014 American Control Conference, ACC 2014 ; Conference date: 04-06-2014 Through 06-06-2014",

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Chu, Y & You, F 2014, Moving-horizon method for integrating scheduling and control. in 2014 American Control Conference, ACC 2014., 6858594, Proceedings of the American Control Conference, Institute of Electrical and Electronics Engineers Inc., pp. 2948-2953, 2014 American Control Conference, ACC 2014, Portland, OR, United States, 6/4/14. https://doi.org/10.1109/ACC.2014.6858594

TY - GEN

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AU - Chu, Yunfei

AU - You, Fengqi

PY - 2014/1/1

Y1 - 2014/1/1

N2 - 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.

AB - 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.

KW - Manufacturing systems

KW - Optimal control

KW - Optimization

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U2 - 10.1109/ACC.2014.6858594

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M3 - Conference contribution

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T3 - Proceedings of the American Control Conference

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EP - 2953

BT - 2014 American Control Conference, ACC 2014

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 2014 American Control Conference, ACC 2014

Y2 - 4 June 2014 through 6 June 2014

ER -

Moving-horizon method for integrating scheduling and control

Abstract

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Keywords

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