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Next generation relay autotuners—analysis and implementation

Hansson, Jonas LU orcid ; Svensson, Magnus LU orcid ; Theorin, Alfred ; Tegling, Emma LU ; Soltesz, Kristian LU orcid ; Hägglund, Tore LU and Åström, Karl Johan LU (2021) IEEE Conference on Control Technologies and Applications p.1075-1982
Abstract
In order to produce models for automatic controller tuning, this paper proposes a method that combines a short experiment with a novel scheme for approximating processes using low-order time-delayed models. The method produces models aimed to tune PI and PID controllers, but they could also be used for other model-dependent controllers like MPC. The proposed method has been evaluated in simulations on benchmark processes. It has also been implemented in an industrial controller and tested experimentally on a water-tank process. It is shown that our method is successful in estimating models for a variety of processes such as lag-dominated, delay-dominated, balanced, and integrating processes. We also demonstrate that the experiment time is... (More)
In order to produce models for automatic controller tuning, this paper proposes a method that combines a short experiment with a novel scheme for approximating processes using low-order time-delayed models. The method produces models aimed to tune PI and PID controllers, but they could also be used for other model-dependent controllers like MPC. The proposed method has been evaluated in simulations on benchmark processes. It has also been implemented in an industrial controller and tested experimentally on a water-tank process. It is shown that our method is successful in estimating models for a variety of processes such as lag-dominated, delay-dominated, balanced, and integrating processes. We also demonstrate that the experiment time is both shorter and more predictable than currently used autotuners. (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 5th IEEE Conference on Control Technologies and Applications (CCTA) 2021
pages
1075 - 1982
conference name
IEEE Conference on Control Technologies and Applications
conference location
San Diego, United States
conference dates
2021-08-08 - 2021-08-11
external identifiers
  • scopus:85122928062
DOI
10.1109/CCTA48906.2021.9659234
project
PID Control
Automatic Tuning
language
English
LU publication?
yes
id
fc819d00-dde9-4de0-ad06-5c9fc5d3e71e
date added to LUP
2021-08-02 10:36:59
date last changed
2023-12-04 04:04:51
@inproceedings{fc819d00-dde9-4de0-ad06-5c9fc5d3e71e,
  abstract     = {{In order to produce models for automatic controller tuning, this paper proposes a method that combines a short experiment with a novel scheme for approximating processes using low-order time-delayed models. The method produces models aimed to tune PI and PID controllers, but they could also be used for other model-dependent controllers like MPC. The proposed method has been evaluated in simulations on benchmark processes. It has also been implemented in an industrial controller and tested experimentally on a water-tank process. It is shown that our method is successful in estimating models for a variety of processes such as lag-dominated, delay-dominated, balanced, and integrating processes. We also demonstrate that the experiment time is both shorter and more predictable than currently used autotuners.}},
  author       = {{Hansson, Jonas and Svensson, Magnus and Theorin, Alfred and Tegling, Emma and Soltesz, Kristian and Hägglund, Tore and Åström, Karl Johan}},
  booktitle    = {{Proceedings of the 5th IEEE Conference on Control Technologies and Applications (CCTA) 2021}},
  language     = {{eng}},
  pages        = {{1075--1982}},
  title        = {{Next generation relay autotuners—analysis and implementation}},
  url          = {{https://lup.lub.lu.se/search/files/100798758/soltesz21i.pdf}},
  doi          = {{10.1109/CCTA48906.2021.9659234}},
  year         = {{2021}},
}