Next generation relay autotuners—analysis and implementation
(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:
https://lup.lub.lu.se/record/fc819d00-dde9-4de0-ad06-5c9fc5d3e71e
- author
- Hansson, Jonas LU ; Svensson, Magnus LU ; Theorin, Alfred ; Tegling, Emma LU ; Soltesz, Kristian LU ; Hägglund, Tore LU and Åström, Karl Johan LU
- organization
- publishing date
- 2021
- 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}}, }