Model-plant mismatch detection using the plant-model ratio : the influence of multivariable systems containing both fast and slow dynamics

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Authors

Mittermaier, Heinz Karl
Le Roux, Johan Derik
Craig, Ian Keith

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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

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.