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Modeling for Optimal PID Design

Garpinger, Olof LU and Hägglund, Tore LU (2014) 19th IFAC World Congress, 2014
Abstract
Even though PID controllers have been around for a long time, few industrial controllers use derivative action and the remaining PI controllers are often designed with formula-based tuning rules rather than through computer-based optimization. This paper will delve into some of the reasons behind these choices and show potential benefits of instead using software-based PID tuning. Three commonly used tuning rules are compared to software tuning with respect to performance and robustness over a large process batch. The study shows the importance of combining a fast, accurate modeling tool with the software design method and gives guidelines for future modeling tools with regards to desired process information. With moderate process... (More)
Even though PID controllers have been around for a long time, few industrial controllers use derivative action and the remaining PI controllers are often designed with formula-based tuning rules rather than through computer-based optimization. This paper will delve into some of the reasons behind these choices and show potential benefits of instead using software-based PID tuning. Three commonly used tuning rules are compared to software tuning with respect to performance and robustness over a large process batch. The study shows the importance of combining a fast, accurate modeling tool with the software design method and gives guidelines for future modeling tools with regards to desired process information. With moderate process knowledge it is possible to design controllers that are much closer to optimal than the three tuning rules, with significant performance improvements as a result. (Less)
Please use this url to cite or link to this publication:
author
and
organization
publishing date
type
Contribution to conference
publication status
in press
subject
keywords
PID control, optimization, computer software, modeling, process control
pages
6 pages
conference name
19th IFAC World Congress, 2014
conference location
Cape Town, South Africa
conference dates
2014-08-24 - 2014-08-29
language
English
LU publication?
yes
id
7170316e-0e58-4b34-b73e-38001eb7c852 (old id 4378398)
date added to LUP
2016-04-04 13:09:14
date last changed
2018-11-21 21:12:27
@misc{7170316e-0e58-4b34-b73e-38001eb7c852,
  abstract     = {{Even though PID controllers have been around for a long time, few industrial controllers use derivative action and the remaining PI controllers are often designed with formula-based tuning rules rather than through computer-based optimization. This paper will delve into some of the reasons behind these choices and show potential benefits of instead using software-based PID tuning. Three commonly used tuning rules are compared to software tuning with respect to performance and robustness over a large process batch. The study shows the importance of combining a fast, accurate modeling tool with the software design method and gives guidelines for future modeling tools with regards to desired process information. With moderate process knowledge it is possible to design controllers that are much closer to optimal than the three tuning rules, with significant performance improvements as a result.}},
  author       = {{Garpinger, Olof and Hägglund, Tore}},
  keywords     = {{PID control; optimization; computer software; modeling; process control}},
  language     = {{eng}},
  title        = {{Modeling for Optimal PID Design}},
  url          = {{https://lup.lub.lu.se/search/files/6061690/4378400.pdf}},
  year         = {{2014}},
}