Model optimization for autotuners in industrial control systems

Magnus Lundh; Alfred Theorin; Tore Hägglund; Jonas Hansson; Magnus Svensson; Karl Johan Åström; Kristian Soltesz

doi:10.1109/ETFA45728.2021.9613187

Model optimization for autotuners in industrial control systems

Magnus Lundh, Alfred Theorin, Tore Hägglund, Jonas Hansson, Magnus Svensson, Karl Johan Åström, Kristian Soltesz

Forskningsoutput: Kapitel i bok/rapport/Conference proceeding › Konferenspaper i proceeding › Peer review

94 Nedladdningar (Pure)

Sammanfattning

Automatic tuning of PID controllers using relay feedback experiments has received attention on and off since it was first proposed and industrially implemented in a control system in the 1980s. While optimal experiment design and modern system identification easily outperform the original automatic tuner, they rely on computational resources that are not always available in industrial control systems. Here we present a combination of experiment and subsequent output-error identification of continuoustime first-order time-delayed (FOTD) system models, that requires very little in terms of computations and memory. The method has been extensively evaluated in simulation, and a prototype has been implemented for the ABB AC 800M controller family.

Originalspråk	engelska
Titel på värdpublikation	Proceedings of the 26th International Conference on Emerging Technologies and Factory Automation (ETFA)
Förlag	IEEE - Institute of Electrical and Electronics Engineers Inc.
ISBN (elektroniskt)	978-1-7281-2989-1
DOI	https://doi.org/10.1109/ETFA45728.2021.9613187
Status	Published - 2021
Evenemang	26th IEEE International Conference on Emerging Technologies and Factory Automation (ETFA) - Västerås, Sverige Varaktighet: 2021 sep. 7 → 2021 sep. 10 https://2021.ieee-etfa.org

Konferens

Konferens	26th IEEE International Conference on Emerging Technologies and Factory Automation (ETFA)
Förkortad titel	ETFA 2021
Land/Territorium	Sverige
Ort	Västerås
Period	2021/09/07 → 2021/09/10
Internetadress	https://2021.ieee-etfa.org

Ämnesklassifikation (UKÄ)

Reglerteknik

Tillgång till dokument

10.1109/ETFA45728.2021.9613187

soltesz21gAccepterat manuskript från författare, 544 KB

1 Avslutade
1 Aktiva

Automatic Tuning
Berner, J., Soltesz, K., Hägglund, T. & Åström, K. J.
2016/01/01 → 2022/12/31
Projekt: Forskning
PID Control
Robertsson, A., THEORIN, A., Bernhardsson, B., Berner, J., Åström, K. J., Hast, M., Garpinger, O., Larsson, P., Hägglund, T., Romero Segovia, V. & Soltesz, K.
1900/01/01 → 2022/05/01
Projekt: Forskning

Factory automation best WiP paper award
Lundh, M. (Mottagare), Theorin, A. (Mottagare), Hägglund, Tore (Mottagare), Hansson, Jonas (Mottagare), Svensson, Magnus (Mottagare), Åström, Karl Johan (Mottagare) & Soltesz, Kristian (Mottagare), 2021
Pris: Pris (inklusive medaljer och utmärkelser)

Citera det här

Lundh, M., Theorin, A., Hägglund, T., Hansson, J., Svensson, M., Åström, K. J., & Soltesz, K. (2021). Model optimization for autotuners in industrial control systems. I Proceedings of the 26th International Conference on Emerging Technologies and Factory Automation (ETFA) IEEE - Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ETFA45728.2021.9613187

Lundh, Magnus ; Theorin, Alfred ; Hägglund, Tore ; Hansson, Jonas ; Svensson, Magnus ; Åström, Karl Johan ; Soltesz, Kristian. / Model optimization for autotuners in industrial control systems. Proceedings of the 26th International Conference on Emerging Technologies and Factory Automation (ETFA). IEEE - Institute of Electrical and Electronics Engineers Inc., 2021.

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title = "Model optimization for autotuners in industrial control systems",

abstract = "Automatic tuning of PID controllers using relay feedback experiments has received attention on and off since it was first proposed and industrially implemented in a control system in the 1980s. While optimal experiment design and modern system identification easily outperform the original automatic tuner, they rely on computational resources that are not always available in industrial control systems. Here we present a combination of experiment and subsequent output-error identification of continuoustime first-order time-delayed (FOTD) system models, that requires very little in terms of computations and memory. The method has been extensively evaluated in simulation, and a prototype has been implemented for the ABB AC 800M controller family.",

author = "Magnus Lundh and Alfred Theorin and Tore H{\"a}gglund and Jonas Hansson and Magnus Svensson and {\AA}str{\"o}m, {Karl Johan} and Kristian Soltesz",

year = "2021",

doi = "10.1109/ETFA45728.2021.9613187",

language = "English",

booktitle = "Proceedings of the 26th International Conference on Emerging Technologies and Factory Automation (ETFA)",

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

address = "United States",

note = "26th IEEE International Conference on Emerging Technologies and Factory Automation (ETFA), ETFA 2021 ; Conference date: 07-09-2021 Through 10-09-2021",

url = "https://2021.ieee-etfa.org",

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Lundh, M, Theorin, A, Hägglund, T , Hansson, J , Svensson, M , Åström, KJ & Soltesz, K 2021, Model optimization for autotuners in industrial control systems. i Proceedings of the 26th International Conference on Emerging Technologies and Factory Automation (ETFA). IEEE - Institute of Electrical and Electronics Engineers Inc., 26th IEEE International Conference on Emerging Technologies and Factory Automation (ETFA), Västerås, Sverige, 2021/09/07. https://doi.org/10.1109/ETFA45728.2021.9613187

Model optimization for autotuners in industrial control systems. / Lundh, Magnus; Theorin, Alfred; Hägglund, Tore ; Hansson, Jonas ; Svensson, Magnus ; Åström, Karl Johan ; Soltesz, Kristian.

Proceedings of the 26th International Conference on Emerging Technologies and Factory Automation (ETFA). IEEE - Institute of Electrical and Electronics Engineers Inc., 2021.

Forskningsoutput: Kapitel i bok/rapport/Conference proceeding › Konferenspaper i proceeding › Peer review

TY - GEN

T1 - Model optimization for autotuners in industrial control systems

AU - Lundh, Magnus

AU - Theorin, Alfred

AU - Hägglund, Tore

AU - Hansson, Jonas

AU - Svensson, Magnus

AU - Åström, Karl Johan

AU - Soltesz, Kristian

PY - 2021

Y1 - 2021

N2 - Automatic tuning of PID controllers using relay feedback experiments has received attention on and off since it was first proposed and industrially implemented in a control system in the 1980s. While optimal experiment design and modern system identification easily outperform the original automatic tuner, they rely on computational resources that are not always available in industrial control systems. Here we present a combination of experiment and subsequent output-error identification of continuoustime first-order time-delayed (FOTD) system models, that requires very little in terms of computations and memory. The method has been extensively evaluated in simulation, and a prototype has been implemented for the ABB AC 800M controller family.

AB - Automatic tuning of PID controllers using relay feedback experiments has received attention on and off since it was first proposed and industrially implemented in a control system in the 1980s. While optimal experiment design and modern system identification easily outperform the original automatic tuner, they rely on computational resources that are not always available in industrial control systems. Here we present a combination of experiment and subsequent output-error identification of continuoustime first-order time-delayed (FOTD) system models, that requires very little in terms of computations and memory. The method has been extensively evaluated in simulation, and a prototype has been implemented for the ABB AC 800M controller family.

U2 - 10.1109/ETFA45728.2021.9613187

DO - 10.1109/ETFA45728.2021.9613187

M3 - Paper in conference proceeding

BT - Proceedings of the 26th International Conference on Emerging Technologies and Factory Automation (ETFA)

PB - IEEE - Institute of Electrical and Electronics Engineers Inc.

T2 - 26th IEEE International Conference on Emerging Technologies and Factory Automation (ETFA)

Y2 - 7 September 2021 through 10 September 2021

ER -

Model optimization for autotuners in industrial control systems

Sammanfattning

Konferens

Ämnesklassifikation (UKÄ)

Tillgång till dokument

Fingeravtryck

Projekt

Automatic Tuning

PID Control

Priser

Factory automation best WiP paper award

Citera det här