Mittermaier, Heinz KarlLe Roux, DerikCraig, Ian Keith2025-03-192025-03-192024Mittermaier, 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.2024.09.285.2405-8963 (online)10.1016/j.ifacol.2024.09.285http://hdl.handle.net/2263/101599The 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.en© 2024 The Authors. This is an Open Access article under the CC BY-NC-ND license (https://creativecommons.org/licenses/by-nc-nd/4.0/).Controller performance monitoringModel predictive controlModel-plant mismatchProcess performance monitoringSurge tankSDG-09: Industry, innovation and infrastructurePlant-model ratio (PMR)Model-plant mismatch (MPM)Article