Good, bad or optimal? Performance assessment of multivariable processes

This paper is concerned with the estimation of a suitable explicit expression for the feedback controller-invariant term of the closed-loop MIMO process from routine operating data. The feedback controller-invariant or the minimum-variance term is subsequently used as a benchmark standard for the ev...

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Bibliographic Details
Published in:Automatica (Oxford) 1997, Vol.33 (6), p.1175-1183
Main Authors: Huang, B., Shah, S.L., Kwok, E.K.
Format: Article
Language:English
Subjects:
Absorption, stripping
Applied sciences
Chemical engineering
Computer science
control theory
systems
Control system analysis
Control system synthesis
Control theory. Systems
Exact sciences and technology
interactor matrices
minimum-variance control
Performance monitoring
time-series analysis
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Summary:This paper is concerned with the estimation of a suitable explicit expression for the feedback controller-invariant term of the closed-loop MIMO process from routine operating data. The feedback controller-invariant or the minimum-variance term is subsequently used as a benchmark standard for the evaluation of control performance of MIMO processes. This new approach, towards control-loop performance analysis of closed-loop MIMO processes, is based on filtering and correlation (FCOR) analysis of the process output and filtered data. The FCOR algorithm is intuitively simple and computationally efficient. However, it does require a priori knowledge or estimation of the time-delay or interactor matrix of the MIMO process. The proposed algorithm is evaluated by application to simulated and industrial processes.
ISSN:0005-1098
1873-2836
DOI:10.1016/S0005-1098(97)00017-4