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When is PID a good choice?

Soltesz, Kristian LU orcid and Cervin, Anton LU orcid (2018) 3rd IFAC Conference on Advances in Proportional-Integral-Derivative Control In IFAC-PapersOnLine 51(4). p.250-255
Abstract
A new and freely available model-based PID design tool for Matlab is introduced. It can be used to solve Maximal Integral Gain Optimization (MIGO) and (load) Integral Absolute Error (IAE) problems. Robustness is ensured through H-inf constraints on the closed-loop transfer functions. A Youla parameter (Q design) method for comparison with the optimal linear time-invariant (LTI) controller for the considered IAE optimization problem is presented. Several realistic design examples are provided, in which the tool is used to compare achievable PID and optimal LTI controller performance, to illustrate whether PID is a good choice for a given combination of process dynamics and closed-loop robustness requirements.
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author
and
organization
publishing date
type
Contribution to journal
publication status
published
subject
in
IFAC-PapersOnLine
volume
51
issue
4
pages
250 - 255
publisher
IFAC Secretariat
conference name
3rd IFAC Conference on Advances in Proportional-Integral-Derivative Control
conference location
Ghent, Belgium
conference dates
2018-05-10 - 2018-05-12
external identifiers
  • scopus:85048772203
ISSN
2405-8963
DOI
10.1016/j.ifacol.2018.06.074
project
PID Control
language
English
LU publication?
yes
id
acbadfac-c602-4e65-9d89-9002e938dc85
date added to LUP
2018-03-15 06:29:47
date last changed
2023-12-01 11:28:32
@article{acbadfac-c602-4e65-9d89-9002e938dc85,
  abstract     = {{A new and freely available model-based PID design tool for Matlab is introduced. It can be used to solve Maximal Integral Gain Optimization (MIGO) and (load) Integral Absolute Error (IAE) problems. Robustness is ensured through H-inf constraints on the closed-loop transfer functions. A Youla parameter (Q design) method for comparison with the optimal linear time-invariant (LTI) controller for the considered IAE optimization problem is presented. Several realistic design examples are provided, in which the tool is used to compare achievable PID and optimal LTI controller performance, to illustrate whether PID is a good choice for a given combination of process dynamics and closed-loop robustness requirements.}},
  author       = {{Soltesz, Kristian and Cervin, Anton}},
  issn         = {{2405-8963}},
  language     = {{eng}},
  number       = {{4}},
  pages        = {{250--255}},
  publisher    = {{IFAC Secretariat}},
  series       = {{IFAC-PapersOnLine}},
  title        = {{When is PID a good choice?}},
  url          = {{https://lup.lub.lu.se/search/files/40946549/paper.pdf}},
  doi          = {{10.1016/j.ifacol.2018.06.074}},
  volume       = {{51}},
  year         = {{2018}},
}