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Detection and diagnosis of model-plant mismatch in MIMO systems using plant-model ratio
Suraj Yerramilli,
Published in Elsevier B.V.
2016
Volume: 49
   
Issue: 1
Pages: 266 - 271
Abstract
The performance of any model-based controller depends on the quality of the model and hence on the model-plant mismatch (MPM). Model maintenance and correction is necessary to achieve desired performance. However, a complete re-identification of the model is usually a costly exercise. Therefore, it would be highly desirable to detect the precise location of the mismatch and update only those parts. The recently introduced plant-model ratio (PMR) was found to be effective in detecting and diagnosing MPM from closed loop operation data for SISO systems. The PMR facilitates a unique identification of the source of mismatch - namely gain, dynamics and delay mismatches. However, direct application of PMR to MIMO systems is a challenge due to the presence of interactions between the various input-output channels. In this paper, the PMR approach is extended to MIMO control systems. It is assumed that the control loop is driven through broadband excitation in the set-points. The key step in the proposed methodology involves decoupling interactions using partial cross-spectral density. The proposed methodology is able to detect the input-output channels with significant mismatch as well as identify the source of mismatch within these channels. The efficacy of this method is demonstrated through two simulation case studies. © 2016, IFAC (International Federation of Automatic Control) Hosting by Elsevier Ltd. All rights reserved.
About the journal
JournalData powered by TypesetIFAC-PapersOnLine
PublisherData powered by TypesetElsevier B.V.
ISSN24058963
Open AccessYes
Concepts (11)
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    Frequency domain analysis
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    Spectral density
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    CLOSED-LOOP OPERATION
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    CROSS SPECTRAL DENSITIES
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    DETECTION AND DIAGNOSIS
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    Frequency domains
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    MODEL BASED CONTROLS
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    MODEL-BASED CONTROLLER
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    Plant model
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    Unique identifications
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    Mimo systems