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Optimal selection of control structure using a steady-state inversely controlled process model

Sharifzadeh, M; Thornhill, NF; (2012) Optimal selection of control structure using a steady-state inversely controlled process model. Computers & Chemical Engineering , 38 pp. 126-138. 10.1016/j.compchemeng.2011.12.007. Green open access

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Abstract

The profitability of chemical processes strongly depends on their control systems. The design of a control system involves selection of controlled and manipulated variables, known as control structure selection. Systematic generation and screening alternative control structures requires optimization. However, the size of such an optimization problem is much larger when candidate controllers and their parameters are included and it rapidly becomes intractable. This paper presents a novel optimization framework using the notion of perfect control, which disentangles the complexities of the controllers. This framework reduces the complexity of the problem while ensuring controllability. In addition, the optimization framework has a goal-driven multi-objective function and requires only a steady-state inverse process model. Since dynamic degrees of freedom do not appear in a steady-state analysis, engineering insights are employed for developing the inventory control systems. The proposed optimization framework was demonstrated in a case study of an industrial distillation train.

Type: Article
Title: Optimal selection of control structure using a steady-state inversely controlled process model
Open access status: An open access version is available from UCL Discovery
DOI: 10.1016/j.compchemeng.2011.12.007
Publisher version: http://dx.doi.org/10.1016/j.compchemeng.2011.12.00...
Language: English
Additional information: This version is the author accepted manuscript. For information on re-use, please refer to the publisher’s terms and conditions.
Keywords: Control structure selection, Multi-objective optimization, Inversely controlled process model, Perfect control, CONTROL DESIGN, OPTIMIZATION, CONTROLLABILITY, TECHNOLOGY, CHALLENGES, OPERATIONS
UCL classification: UCL
UCL > Provost and Vice Provost Offices > UCL BEAMS
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science
URI: https://discovery.ucl.ac.uk/id/eprint/10023915
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