The effect of disturbances on plant-model mismatch detection using the plant-model ratio : a surge tank case study

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Authors

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

Journal Title

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Volume Title

Publisher

Elsevier

Abstract

The surge tank in a bulk tailings treatment plant aims to reject flow and density disturbances. However, for large disturbances, there may be an inversion in the gain between the water inflow and tank slurry density for a linearized model of the plant. The plant-model ratio (PMR) is a method to diagnose model-plant mismatch (MPM), such as gain-inversion, in the absence of disturbances. This article evaluates the influence of disturbances on the ability of the PMR to diagnose MPM for the surge tank. If the disturbance is measured, as in the case of the surge tank, the PMR is able to detect MPM such as gain-inversion. A controller can be adapted according to the MPM information from the PMR diagnosis.

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Keywords

Controller performance monitoring, Model predictive control, Model-plant mismatch, Process performance monitoring, Surge tank, SDG-09: Industry, innovation and infrastructure, Plant-model ratio (PMR), Model-plant mismatch (MPM)

Sustainable Development Goals

SDG-09: Industry, innovation and infrastructure

Citation

Mittermaier, H.K., Le Roux, J.D., Craig, I.K. 2024, 'The effect of disturbances on plant-model mismatch detection using the plant-model ratio: a surge tank case study', IFAC-PapersOnLine, vol. 58, no. 22, pp. 24-29, doi: 10.1016/j.ifacol.2024.09.285.