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Measurement noise filtering for PID controllers

Romero Segovia, Vanessa LU ; Hägglund, Tore LU and Åström, Karl Johan LU (2014) In Journal of Process Control 24(4). p.299-313
Abstract
Measurement noise can generate undesired control activity resulting in wear of actuators and reduced performance. The effects of measurement noise can be alleviated by filtering the measurement signal.The design of the filter is then a trade-off; heavy filtering reduces the undesired control activity but performance is degraded. In this paper we discuss the trade-offs for PID control. Based on the insight gained we introduce two quantities that characterize the effect of measurement noise the SDU, which is a measure of noise activity analog to the IAE commonly used to characterize load disturbance response,and the noise gain kn, which tells how fluctuations in the filtered measurement signal are reflected in variations of the control... (More)
Measurement noise can generate undesired control activity resulting in wear of actuators and reduced performance. The effects of measurement noise can be alleviated by filtering the measurement signal.The design of the filter is then a trade-off; heavy filtering reduces the undesired control activity but performance is degraded. In this paper we discuss the trade-offs for PID control. Based on the insight gained we introduce two quantities that characterize the effect of measurement noise the SDU, which is a measure of noise activity analog to the IAE commonly used to characterize load disturbance response,and the noise gain kn, which tells how fluctuations in the filtered measurement signal are reflected in variations of the control signal. Simple rules for choosing the filter time constant for PI and PID controllers are also given. The results are illustrated by simulations and lab experiments. (Less)
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author
; and
organization
publishing date
type
Contribution to journal
publication status
published
subject
keywords
Measurement noise, Filtering, Trade-offs, Robustness, Performance, Noise gain, Sampling, PID control
in
Journal of Process Control
volume
24
issue
4
pages
299 - 313
publisher
Elsevier
external identifiers
  • wos:000337775600006
  • scopus:84896377557
ISSN
1873-2771
DOI
10.1016/j.jprocont.2014.01.017
project
PID Control
LCCC
PICLU
language
English
LU publication?
yes
id
ed14e22b-d167-491b-a19a-b43a423c4e05 (old id 4437729)
date added to LUP
2016-04-01 10:02:39
date last changed
2022-04-19 21:54:39
@article{ed14e22b-d167-491b-a19a-b43a423c4e05,
  abstract     = {{Measurement noise can generate undesired control activity resulting in wear of actuators and reduced performance. The effects of measurement noise can be alleviated by filtering the measurement signal.The design of the filter is then a trade-off; heavy filtering reduces the undesired control activity but performance is degraded. In this paper we discuss the trade-offs for PID control. Based on the insight gained we introduce two quantities that characterize the effect of measurement noise the SDU, which is a measure of noise activity analog to the IAE commonly used to characterize load disturbance response,and the noise gain kn, which tells how fluctuations in the filtered measurement signal are reflected in variations of the control signal. Simple rules for choosing the filter time constant for PI and PID controllers are also given. The results are illustrated by simulations and lab experiments.}},
  author       = {{Romero Segovia, Vanessa and Hägglund, Tore and Åström, Karl Johan}},
  issn         = {{1873-2771}},
  keywords     = {{Measurement noise; Filtering; Trade-offs; Robustness; Performance; Noise gain; Sampling; PID control}},
  language     = {{eng}},
  number       = {{4}},
  pages        = {{299--313}},
  publisher    = {{Elsevier}},
  series       = {{Journal of Process Control}},
  title        = {{Measurement noise filtering for PID controllers}},
  url          = {{http://dx.doi.org/10.1016/j.jprocont.2014.01.017}},
  doi          = {{10.1016/j.jprocont.2014.01.017}},
  volume       = {{24}},
  year         = {{2014}},
}