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Optimal proportional–integral–derivative set-point weighting and tuning rules for proportional set-point weights

Hast, Martin LU and Hägglund, Tore LU (2015) In IET Control Theory and Applications 9(15). p.2266-2272
Abstract
In this study, design of low-order feedforward controllers from both reference signal and measurable disturbance for proportional–integral–derivative (PID) controllers is considered. The feedforward controllers from reference are equivalent to the use of a PID controller with set-point weighting. The design problem is formulated as a convex optimisation problem and then solved for a batch of process models. The optimal proportional set-point weights are then used to derive tuning rules that minimise the integrated absolute error. Examples illustrate the usefulness of the proposed method and tuning rules
Please use this url to cite or link to this publication:
author
and
organization
publishing date
type
Contribution to journal
publication status
published
subject
keywords
PID control Feedforward Set-point weighting Convex optimization
in
IET Control Theory and Applications
volume
9
issue
15
pages
2266 - 2272
publisher
Institution of Engineering and Technology
external identifiers
  • wos:000361761800009
  • scopus:84942540396
ISSN
1751-8652
DOI
10.1049/iet-cta.2015.0171
project
PID Control
PICLU
language
English
LU publication?
yes
id
1eceb81e-c5e6-49e4-9172-c4bcceed3dd9 (old id 7758221)
date added to LUP
2016-04-01 10:52:02
date last changed
2024-01-22 00:27:10
@article{1eceb81e-c5e6-49e4-9172-c4bcceed3dd9,
  abstract     = {{In this study, design of low-order feedforward controllers from both reference signal and measurable disturbance for proportional–integral–derivative (PID) controllers is considered. The feedforward controllers from reference are equivalent to the use of a PID controller with set-point weighting. The design problem is formulated as a convex optimisation problem and then solved for a batch of process models. The optimal proportional set-point weights are then used to derive tuning rules that minimise the integrated absolute error. Examples illustrate the usefulness of the proposed method and tuning rules}},
  author       = {{Hast, Martin and Hägglund, Tore}},
  issn         = {{1751-8652}},
  keywords     = {{PID control Feedforward Set-point weighting Convex optimization}},
  language     = {{eng}},
  number       = {{15}},
  pages        = {{2266--2272}},
  publisher    = {{Institution of Engineering and Technology}},
  series       = {{IET Control Theory and Applications}},
  title        = {{Optimal proportional–integral–derivative set-point weighting and tuning rules for proportional set-point weights}},
  url          = {{http://dx.doi.org/10.1049/iet-cta.2015.0171}},
  doi          = {{10.1049/iet-cta.2015.0171}},
  volume       = {{9}},
  year         = {{2015}},
}