Autotuning of an In-Line pH Control System
Mercader, Pedro ; Soltesz, Kristian LU
and Baños, Alfonso
(2016)
21st IEEE International Conference on Emerging Technologies and Factory Automation, ETFA 2016
- Abstract
A novel autotuning procedure is presented through application to an industrial in-line pH control system. The procedure has three advantages over classical relay auto-tuners: experiment duration is very short (no need for limit-cycle convergence); all data is used for identification (instead of only peaks and switch instances); a parameter uncertainty model is identified and utilized for robust controller synthesis.
Please use this url to cite or link to this publication:
https://lup.lub.lu.se/record/e8c68224-1566-4525-9c96-59c2036a7465
- author
- Mercader, Pedro
; Soltesz, Kristian
LU
and Baños, Alfonso
- organization
- publishing date
- 2016-11-03
- type
- Chapter in Book/Report/Conference proceeding
- publication status
- published
- subject
- host publication
- 2016 IEEE 21st Conference on Emerging Technologies and Factory Automation (ETFA 2016)
- pages
- 4 pages
- publisher
- IEEE - Institute of Electrical and Electronics Engineers Inc.
- conference name
- 21st IEEE International Conference on Emerging Technologies and Factory Automation, ETFA 2016
- conference location
- Berlin, Germany
- conference dates
- 2016-09-06 - 2016-09-09
- external identifiers
-
- scopus:84996553930
- ISBN
- 9781509013142
- DOI
- 10.1109/ETFA.2016.7733588
- project
- Automatic Tuning
- PID Control
- language
- English
- LU publication?
- yes
- id
- e8c68224-1566-4525-9c96-59c2036a7465
- date added to LUP
- 2016-08-18 17:55:45
- date last changed
- 2025-04-04 14:13:03
@inproceedings{e8c68224-1566-4525-9c96-59c2036a7465,
abstract = {{<p>A novel autotuning procedure is presented through application to an industrial in-line pH control system. The procedure has three advantages over classical relay auto-tuners: experiment duration is very short (no need for limit-cycle convergence); all data is used for identification (instead of only peaks and switch instances); a parameter uncertainty model is identified and utilized for robust controller synthesis.</p>}},
author = {{Mercader, Pedro and Soltesz, Kristian and Baños, Alfonso}},
booktitle = {{2016 IEEE 21st Conference on Emerging Technologies and Factory Automation (ETFA 2016)}},
isbn = {{9781509013142}},
language = {{eng}},
month = {{11}},
publisher = {{IEEE - Institute of Electrical and Electronics Engineers Inc.}},
title = {{Autotuning of an In-Line pH Control System}},
url = {{https://lup.lub.lu.se/search/files/20021936/ETFA2016.pdf}},
doi = {{10.1109/ETFA.2016.7733588}},
year = {{2016}},
}