A comparison of two feedforward control structure assessment methods
(2003) In International Journal of Adaptive Control and Signal Processing 17(7--9). p.609-624- Abstract
- The most common loop in an industrial plant is a SISO-loop with a PI(D)controller. If the loop is affected by disturbances,these can be handled by adding a feedforward control action. In an industrial control system there are many measured signals, apart from those of the loop, available. The question we address in this article is how to select the feedforward variable out of the available measurements. A comparison is made of two methods for feedforward control structure assessment. The first is a method based on comparing the actual variance with the minimum achievable variance,and thus the contribution to the overall variance. The second is a method for evaluating deterministic additive disturbances and estimate where they enter in the... (More)
- The most common loop in an industrial plant is a SISO-loop with a PI(D)controller. If the loop is affected by disturbances,these can be handled by adding a feedforward control action. In an industrial control system there are many measured signals, apart from those of the loop, available. The question we address in this article is how to select the feedforward variable out of the available measurements. A comparison is made of two methods for feedforward control structure assessment. The first is a method based on comparing the actual variance with the minimum achievable variance,and thus the contribution to the overall variance. The second is a method for evaluating deterministic additive disturbances and estimate where they enter in the process. The methods complement each other and show that assessmentmethods should be handled with care, since they are mostly designed fordifferent control objectives. (Less)
Please use this url to cite or link to this publication:
https://lup.lub.lu.se/record/161690
- author
- Petersson, Mikael ; Årzén, Karl-Erik LU and Hägglund, Tore LU
- organization
- publishing date
- 2003
- type
- Contribution to journal
- publication status
- published
- subject
- in
- International Journal of Adaptive Control and Signal Processing
- volume
- 17
- issue
- 7--9
- pages
- 609 - 624
- publisher
- John Wiley & Sons Inc.
- external identifiers
-
- wos:000185485100006
- scopus:0141526363
- ISSN
- 0890-6327
- DOI
- 10.1002/acs.768
- language
- English
- LU publication?
- yes
- id
- 4cabccc7-fc0e-41ae-94da-5b50110c92f4 (old id 161690)
- date added to LUP
- 2016-04-01 12:35:23
- date last changed
- 2022-01-27 07:11:46
@article{4cabccc7-fc0e-41ae-94da-5b50110c92f4, abstract = {{The most common loop in an industrial plant is a SISO-loop with a PI(D)controller. If the loop is affected by disturbances,these can be handled by adding a feedforward control action. In an industrial control system there are many measured signals, apart from those of the loop, available. The question we address in this article is how to select the feedforward variable out of the available measurements. A comparison is made of two methods for feedforward control structure assessment. The first is a method based on comparing the actual variance with the minimum achievable variance,and thus the contribution to the overall variance. The second is a method for evaluating deterministic additive disturbances and estimate where they enter in the process. The methods complement each other and show that assessmentmethods should be handled with care, since they are mostly designed fordifferent control objectives.}}, author = {{Petersson, Mikael and Årzén, Karl-Erik and Hägglund, Tore}}, issn = {{0890-6327}}, language = {{eng}}, number = {{7--9}}, pages = {{609--624}}, publisher = {{John Wiley & Sons Inc.}}, series = {{International Journal of Adaptive Control and Signal Processing}}, title = {{A comparison of two feedforward control structure assessment methods}}, url = {{https://lup.lub.lu.se/search/files/2985316/8866327.pdf}}, doi = {{10.1002/acs.768}}, volume = {{17}}, year = {{2003}}, }