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Open AccessArticle

Tuning of Multivariable Model Predictive Control for Industrial Tasks

Faculty of Electronics and Information Technology, Institute of Control and Computation Engineering, Warsaw University of Technology, ul. Nowowiejska 15/19, 00-665 Warsaw, Poland
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Received: 1 December 2020 / Revised: 29 December 2020 / Accepted: 30 December 2020 / Published: 3 January 2021
(This article belongs to the Special Issue Model Predictive Control: Algorithms and Applications)
This work is concerned with the tuning of the parameters of Model Predictive Control (MPC) algorithms when used for industrial tasks, i.e., compensation of disturbances that affect the process (process uncontrolled inputs and measurement noises). The discussed simulation optimisation tuning procedure is quite computationally simple since the consecutive parameters are optimised separately, and it requires only a very limited number of simulations. It makes it possible to perform a multicriteria control assessment as a few control quality measures may be taken into account. The effectiveness of the tuning method is demonstrated for a multivariable distillation column. Two cases are considered: a perfect model case and a more practical case in which the model is characterised by some error. It is shown that the discussed tuning approach makes it possible to obtain very good control quality, much better than in the most common case in which all tuning parameters are constant. View Full-Text
Keywords: model predictive control; tuning of parameters; distillation column model predictive control; tuning of parameters; distillation column
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MDPI and ACS Style

Nebeluk, R.; Ławryńczuk, M. Tuning of Multivariable Model Predictive Control for Industrial Tasks. Algorithms 2021, 14, 10. https://0-doi-org.brum.beds.ac.uk/10.3390/a14010010

AMA Style

Nebeluk R, Ławryńczuk M. Tuning of Multivariable Model Predictive Control for Industrial Tasks. Algorithms. 2021; 14(1):10. https://0-doi-org.brum.beds.ac.uk/10.3390/a14010010

Chicago/Turabian Style

Nebeluk, Robert; Ławryńczuk, Maciej. 2021. "Tuning of Multivariable Model Predictive Control for Industrial Tasks" Algorithms 14, no. 1: 10. https://0-doi-org.brum.beds.ac.uk/10.3390/a14010010

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