Application of barrier function based model predictive control to an edible oil refining process

A.G. Wills; W.P. Heath

doi:10.1016/j.jprocont.2004.05.004

Application of barrier function based model predictive control to an edible oil refining process

Research output: Contribution to journal › Article › peer-review

Abstract

We use multivariable feedback control to reduce variations in flow and back-pressure associated with two industrial separator units forming part of an edible oil refining line. This provides plant operators with a mechanism for increasing process yield without reducing product quality. Actuator limits are a natural consideration in the controller design since increased production rates require actuators to operate on or near their limits. We use recentred barrier function model predictive control in this application and obtain favourable results.

Original language	Unknown
Pages (from-to)	183-200
Number of pages	18
Journal	Journal of Process Control
Volume	15
Issue number	2
Early online date	23 Jul 2004
DOIs	https://doi.org/10.1016/j.jprocont.2004.05.004
Publication status	Published - 1 Mar 2005
Externally published	Yes

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10.1016/j.jprocont.2004.05.004

Cite this

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title = "Application of barrier function based model predictive control to an edible oil refining process",

abstract = "We use multivariable feedback control to reduce variations in flow and back-pressure associated with two industrial separator units forming part of an edible oil refining line. This provides plant operators with a mechanism for increasing process yield without reducing product quality. Actuator limits are a natural consideration in the controller design since increased production rates require actuators to operate on or near their limits. We use recentred barrier function model predictive control in this application and obtain favourable results.",

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