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Sequential control performance diagnosis of steel processes

Recalde Camacho, Luis and Katebi, Reza and Yue, Hong (2014) Sequential control performance diagnosis of steel processes. In: IFAC World Congress 2014, 2014-08-24 - 2014-08-29.

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Abstract

A sequential method for Control Performance Diagnosis using a classication tree to predict possible root-causes of poor performance is presented. The classication tree methodology is used to combine process pre-assessment (nonlinearities detection, delays estimation and controller assessment), Control Performance Assessment (CPA) and ANalysis Of VAriance (ANOVA) into an integrated framework. A initial process data set is analysed and the results are used as decision thresholds for the classication tree. The methodology is capable to identify root-causes such as:poor tuning, inadequate control structure, nonlinearities, process mismatch and disturbance changes. The proposed methodology is applied to individual loops of a tandem cold rolling mill.