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A closed-loop cross-correlation method for detecting model mismatch in MIMO model-based controllers
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DOI：10.1016/j.isatra.2008.06.003.png)
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Correlation between a dithering, signal and the prediction error has been used tor detecting model mismatch in univariate model based control systems. This paper extends that approach to MIMO control systems. A closed-loop cross-correlation method is presented to detect which specific input-output pairings of a model-based controller are mismatched. This method may be used in screening the complete set of models and ill selecting, candidate models for re-identification. The method first finds the rows and columns of the transfer function matrix that contain mismatch, and then the candidates are found by the intersection of the said rows and columns. Placing the system under partial control. whereby one or more of the manipulated variables are held constant, can be used to further reduce the set of candidate models. (C) 2008 ISA. Published by Elsevier Ltd. All rights reserved.
Keyword:
Model mismatch
Model-based controllers
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6.5
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