Model-plant mismatch detection using the plant-model ratio : the influence of multivariable systems containing both fast and slow dynamics
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Date
Authors
Mittermaier, Heinz Karl
Le Roux, Johan Derik
Craig, Ian Keith
Journal Title
Journal ISSN
Volume Title
Publisher
Elsevier
Abstract
The plant-model ratio, developed to diagnose model-plant mismatch present in
model-based controllers, inherits the same limitations from the frequency-based analysis that
the method is based on. Nonetheless, the plant-model ratio shows the capacity to counteract the
effect of non-linear dynamics within processes due to the ability to diagnose parametric model-plant mismatches for first-order plus time delay models. The plant-model ratio is developed
before being validated on the Wood-Berry distillation column. One of the prominent limitations
of frequency analysis, the filtering effects of time constant differences, is investigated and
quantified for the Wood-Berry distillation column, showing the effect of time constant differences
on each parametric model-plant mismatch diagnosis.
Description
Keywords
Controller performance monitoring, Grinding mill circuit, Model predictive control, Model-plant mismatch, Process performance monitoring, SDG-09: Industry, innovation and infrastructure, SDG-12: Responsible consumption and production
Sustainable Development Goals
SDG-09: Industry, innovation and infrastructure
SDG-12:Responsible consumption and production
SDG-12:Responsible consumption and production
Citation
Mittermaier, H.K., Le Roux, J.D., Craig, I.K. 2024,'Model-plant mismatch detection using the plant-model ratio : the influence of multivariable systems containing both fast and slow dynamics', IFAC-PapersOnLine, vol. 58, no. 25, Pg. 55-60,
ISSN 2405-8963, https://doi.org/10.1016/j.ifacol.2024.10.