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Disturbance rejection in autotuners: an assessment method and a rule proposal

Leva, Alberto and Papadopoulos, Alessandro Vittorio LU (2015) American Control Conference, 2015 In [Host publication title missing]
Abstract
Disturbance rejection is a primary objective in many industrial control loops, thus a relevant goal for autotuning controllers. Nonetheless, autotuning has invariantly to cope with a reduced amount of process information. As a consequence, with the standard single-loop structure typically adopted in the addressed context, effective disturbance rejection calls for strong feedback, and therefore the solutions available to date fall sometimes short of perfection. This paper discusses the matter basically from a methodological standpoint, evidencing some structural reasons for the observed shortcomings. The result is a synthesis approach improving rejection performance with respect to existing and well established tuning rules, on a rigorously... (More)
Disturbance rejection is a primary objective in many industrial control loops, thus a relevant goal for autotuning controllers. Nonetheless, autotuning has invariantly to cope with a reduced amount of process information. As a consequence, with the standard single-loop structure typically adopted in the addressed context, effective disturbance rejection calls for strong feedback, and therefore the solutions available to date fall sometimes short of perfection. This paper discusses the matter basically from a methodological standpoint, evidencing some structural reasons for the observed shortcomings. The result is a synthesis approach improving rejection performance with respect to existing and well established tuning rules, on a rigorously sound basis. Simulation examples are presented to support the proposal. (Less)
Please use this url to cite or link to this publication:
author
organization
publishing date
type
Chapter in Book/Report/Conference proceeding
publication status
in press
subject
in
[Host publication title missing]
pages
6 pages
publisher
IEEE--Institute of Electrical and Electronics Engineers Inc.
conference name
American Control Conference, 2015
external identifiers
  • Scopus:84940916530
DOI
10.1109/ACC.2015.7171171
project
EIT_VR CLOUD Cloud Control
language
English
LU publication?
yes
id
bb2349a5-524d-4c8b-8826-b40c5410e496 (old id 5152961)
date added to LUP
2015-03-16 09:27:41
date last changed
2016-10-13 04:48:51
@misc{bb2349a5-524d-4c8b-8826-b40c5410e496,
  abstract     = {Disturbance rejection is a primary objective in many industrial control loops, thus a relevant goal for autotuning controllers. Nonetheless, autotuning has invariantly to cope with a reduced amount of process information. As a consequence, with the standard single-loop structure typically adopted in the addressed context, effective disturbance rejection calls for strong feedback, and therefore the solutions available to date fall sometimes short of perfection. This paper discusses the matter basically from a methodological standpoint, evidencing some structural reasons for the observed shortcomings. The result is a synthesis approach improving rejection performance with respect to existing and well established tuning rules, on a rigorously sound basis. Simulation examples are presented to support the proposal.},
  author       = {Leva, Alberto and Papadopoulos, Alessandro Vittorio},
  language     = {eng},
  pages        = {6},
  publisher    = {ARRAY(0xc1080d8)},
  series       = {[Host publication title missing]},
  title        = {Disturbance rejection in autotuners: an assessment method and a rule proposal},
  url          = {http://dx.doi.org/10.1109/ACC.2015.7171171},
  year         = {2015},
}