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Detection of model-plant mismatch in MPC applications

DSpace at IIT Bombay

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Title Detection of model-plant mismatch in MPC applications
 
Creator BADWE, AS
GUDI, RD
PATWARDHAN, RS
SHAH, SL
PATWARDHAN, SC
 
Subject predictive control
performance
identification
internal model control
model predictive control
model-plant mismatch
controller performance monitoring
partial correlation analysis
 
Description In model predictive control of processes. the process model plays an important role. The performance of the controller depends on the quality of the model and hence on the model-plant mismatch. Although model-plant mismatch is inevitable, it is highly desirable to minimize it. For processes with large number of inputs and outputs, re-identification of the model is a costly exercise as keeping a large number of inputs in a perturbed or excited state for a long time means loss of normal production time. Hence, it would be highly desirable to detect the precise location of the mismatch so that only a few inputs would have to be perturbed and only the degraded portion of the model updated. In this work, a methodology is proposed for the detection of mismatch from closed-loop operating data. The proposed methodology is based on the analysis of partial correlations between the model residuals and the manipulated variables. Since partial correlation analysis aids in spotting spurious as well as hidden correlations, the proposed technique is able to accurately resolve mismatch due to model inaccuracies and disturbances. The efficacy of the proposed mismatch detection technique is demonstrated on two simulation case studies and its application to data from an industrial process. (C) 2009
 
Publisher ELSEVIER SCI LTD
 
Date 2011-07-22T00:10:19Z
2011-12-26T12:52:13Z
2011-12-27T05:39:17Z
2011-07-22T00:10:19Z
2011-12-26T12:52:13Z
2011-12-27T05:39:17Z
2009
 
Type Article
 
Identifier JOURNAL OF PROCESS CONTROL, 19(8), 1305-1313
0959-1524
http://dx.doi.org/10.1016/j.jprocont.2009.04.007
http://dspace.library.iitb.ac.in/xmlui/handle/10054/6041
http://hdl.handle.net/10054/6041
 
Language en