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Model optimization for autotuners in industrial control systems

Lundh, Magnus ; Theorin, Alfred ; Hägglund, Tore LU ; Hansson, Jonas LU orcid ; Svensson, Magnus LU orcid ; Åström, Karl Johan LU and Soltesz, Kristian LU orcid (2021) 26th IEEE International Conference on Emerging Technologies and Factory Automation (ETFA)
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... (More)
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. (Less)
Please use this url to cite or link to this publication:
author
; ; ; ; ; and
organization
publishing date
type
Chapter in Book/Report/Conference proceeding
publication status
published
subject
host publication
Proceedings of the 26th International Conference on Emerging Technologies and Factory Automation (ETFA)
publisher
IEEE - Institute of Electrical and Electronics Engineers Inc.
conference name
26th IEEE International Conference on Emerging Technologies and Factory Automation (ETFA)
conference location
Västerås, Sweden
conference dates
2021-09-07 - 2021-09-10
external identifiers
  • scopus:85122913729
ISBN
978-1-7281-2989-1
DOI
10.1109/ETFA45728.2021.9613187
project
Automatic Tuning
PID Control
language
English
LU publication?
yes
id
7df40fb1-0fa8-43b3-ac12-5c0588ff7044
date added to LUP
2021-07-27 09:56:34
date last changed
2022-05-17 08:42:26
@inproceedings{7df40fb1-0fa8-43b3-ac12-5c0588ff7044,
  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       = {{Lundh, Magnus and Theorin, Alfred and Hägglund, Tore and Hansson, Jonas and Svensson, Magnus and Åström, Karl Johan and Soltesz, Kristian}},
  booktitle    = {{Proceedings of the 26th International Conference on Emerging Technologies and Factory Automation (ETFA)}},
  isbn         = {{978-1-7281-2989-1}},
  language     = {{eng}},
  publisher    = {{IEEE - Institute of Electrical and Electronics Engineers Inc.}},
  title        = {{Model optimization for autotuners in industrial control systems}},
  url          = {{https://lup.lub.lu.se/search/files/100638783/soltesz21i.pdf}},
  doi          = {{10.1109/ETFA45728.2021.9613187}},
  year         = {{2021}},
}