Towards Automatic Decentralized Control Structure Selection

Research output: Contribution to journalJournal articleResearchpeer-review

Abstract

A subtask in integration of design and control of chemical processes is the selection of a control structure. Automating the selection of the control structure enables sequential integration of process and control design. As soon as the process is specified or computed, a structure for decentralized control is determined automatically, and the resulting decentralized control structure is automatically tuned using standard techniques. Dynamic simulation of the resulting process system gives immediate feedback to the process design engineer regarding practical operability of the process. The control structure selection problem is formulated as a special MILP employing cost coefficients which are computed using Parseval's theorem combined with RGA and IMC concepts. This approach enables selection and tuning of large-scale plant-wide decentralized controllers through efficient combination of model formulation and mathematical programming. (C) 2000 Elsevier Science Ltd. All rights reserved.
Original languageEnglish
JournalComputers & Chemical Engineering
Volume24
Issue number2-7
Pages (from-to)841-846
ISSN0098-1354
DOIs
Publication statusPublished - 2000

Cite this

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title = "Towards Automatic Decentralized Control Structure Selection",
abstract = "A subtask in integration of design and control of chemical processes is the selection of a control structure. Automating the selection of the control structure enables sequential integration of process and control design. As soon as the process is specified or computed, a structure for decentralized control is determined automatically, and the resulting decentralized control structure is automatically tuned using standard techniques. Dynamic simulation of the resulting process system gives immediate feedback to the process design engineer regarding practical operability of the process. The control structure selection problem is formulated as a special MILP employing cost coefficients which are computed using Parseval's theorem combined with RGA and IMC concepts. This approach enables selection and tuning of large-scale plant-wide decentralized controllers through efficient combination of model formulation and mathematical programming. (C) 2000 Elsevier Science Ltd. All rights reserved.",
author = "J{\o}rgensen, {John Bagterp} and J{\o}rgensen, {Sten Bay}",
year = "2000",
doi = "10.1016/S0098-1354(00)00337-9",
language = "English",
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pages = "841--846",
journal = "Computers & Chemical Engineering",
issn = "0098-1354",
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Towards Automatic Decentralized Control Structure Selection. / Jørgensen, John Bagterp; Jørgensen, Sten Bay.

In: Computers & Chemical Engineering, Vol. 24, No. 2-7, 2000, p. 841-846.

Research output: Contribution to journalJournal articleResearchpeer-review

TY - JOUR

T1 - Towards Automatic Decentralized Control Structure Selection

AU - Jørgensen, John Bagterp

AU - Jørgensen, Sten Bay

PY - 2000

Y1 - 2000

N2 - A subtask in integration of design and control of chemical processes is the selection of a control structure. Automating the selection of the control structure enables sequential integration of process and control design. As soon as the process is specified or computed, a structure for decentralized control is determined automatically, and the resulting decentralized control structure is automatically tuned using standard techniques. Dynamic simulation of the resulting process system gives immediate feedback to the process design engineer regarding practical operability of the process. The control structure selection problem is formulated as a special MILP employing cost coefficients which are computed using Parseval's theorem combined with RGA and IMC concepts. This approach enables selection and tuning of large-scale plant-wide decentralized controllers through efficient combination of model formulation and mathematical programming. (C) 2000 Elsevier Science Ltd. All rights reserved.

AB - A subtask in integration of design and control of chemical processes is the selection of a control structure. Automating the selection of the control structure enables sequential integration of process and control design. As soon as the process is specified or computed, a structure for decentralized control is determined automatically, and the resulting decentralized control structure is automatically tuned using standard techniques. Dynamic simulation of the resulting process system gives immediate feedback to the process design engineer regarding practical operability of the process. The control structure selection problem is formulated as a special MILP employing cost coefficients which are computed using Parseval's theorem combined with RGA and IMC concepts. This approach enables selection and tuning of large-scale plant-wide decentralized controllers through efficient combination of model formulation and mathematical programming. (C) 2000 Elsevier Science Ltd. All rights reserved.

U2 - 10.1016/S0098-1354(00)00337-9

DO - 10.1016/S0098-1354(00)00337-9

M3 - Journal article

VL - 24

SP - 841

EP - 846

JO - Computers & Chemical Engineering

JF - Computers & Chemical Engineering

SN - 0098-1354

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ER -