Abstract
Although the minimum variance control (MVC) benchmark is popular for control performance monitoring, the requirement of a general interactor for multivariable processes is equivalent to knowing the Markov parameters, which is inconvenient in practice. To reduce the model requirement of a general interactor, a right diagonal interactor matrix is first used for a class of MIMO processes. Then a solution to the MIMO MVC benchmark is developed using the right diagonal interactor. Next, both the left and right diagonal interactors are integrated to characterize the complex time-delay structure of an extended class of multivariate processes. The factorization of the combined left/right diagonal interactors and the corresponding MVC benchmark estimation are also presented. The advantages of the new approach lie in the reduced a priori process knowledge and the simplified numerical procedures. A number of simulated examples are provided to illustrate the validity and effectiveness of the proposed performance monitoring approach. © 2009 Elsevier Ltd. All rights reserved.
Original language | English |
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Pages (from-to) | 1267-1276 |
Number of pages | 10 |
Journal | Journal of Process Control |
Volume | 19 |
Issue number | 8 |
Early online date | 5 Apr 2009 |
DOIs | |
Publication status | Published - Sept 2009 |
Externally published | Yes |
Funding
Financial support for this work from the National Science Foundation under DMI-0432433 and Weyerhaeuser Company through sponsorship of the Texas-Wisconsin Modeling and Control Consortium is gratefully acknowledged.
Keywords
- Control performance monitoring
- Left/right diagonal interactors
- Minimum variance control
- Multivariable time-delay structure