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Control performance assessment for nonlinear systems

โœ Scribed by W. Yu; D.I. Wilson; B.R. Young


Publisher
Elsevier Science
Year
2010
Tongue
English
Weight
297 KB
Volume
20
Category
Article
ISSN
0959-1524

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โœฆ Synopsis


Assessing the quality of existing industrial control loops, or comparing between two alternative controller designs is becoming an important routine auditing task for the control engineer. While most of the research and commercial activity in CPA has been applied to linear systems to date, those researchers investigating nonlinear systems fall into one of two groups. The first group focussed on the diagnosis of a common specific nonlinearity, namely valve stiction [1-3], while the second group tried to establish the minimum variance performance lower bound (MVPLB) [4][5][6][7][8]. In this paper we will propose a new CPA performance index for general nonlinear models based on an ANOVA-like variance decomposition method. The results of two simulation examples illustrate that the proposed methodology is efficient and accurate.


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Performance assessment of constrained mo
โœ Byung-Su Ko; Thomas F. Edgar ๐Ÿ“‚ Article ๐Ÿ“… 2001 ๐Ÿ› American Institute of Chemical Engineers ๐ŸŒ English โš– 163 KB ๐Ÿ‘ 2 views

## Abstract A constrained minimum variance controller is derived based on a moving horizon approach that explicitly accounts for hard constraints on process variables. A procedure for the performance assessment of constrained model predictive control systems is then developed based on the constrain