Tuning of Multivariable Model Predictive Control for Industrial Tasks
Authors:
- Robert Nebeluk,
- Maciej Ławryńczuk
Abstract
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.
- Record ID
- WUT482ad73066c94e928d1889f1135869a8
- Author
- Journal series
- Algorithms, ISSN 1999-4893
- Issue year
- 2021
- Vol
- 14
- No
- 1
- Pages
- 1-10
- Publication size in sheets
- 0.50
- Keywords in English
- model predictive control; tuning of parameters; distillation column
- ASJC Classification
- ; ; ;
- DOI
- DOI:10.3390/a14010010 Opening in a new tab
- URL
- https://www.mdpi.com/1999-4893/14/1/10 Opening in a new tab
- Language
- (en) English
- License
- File
-
- File: 1
- Tuning of Multivariable Model Predictive Control for Industrial Tasks, File WUT482ad73066c94e928d1889f1135869a8.pdf / 1 MB
- WUT482ad73066c94e928d1889f1135869a8.pdf
- publication date: 08-06-2021
- Tuning of Multivariable Model Predictive Control for Industrial Tasks, File WUT482ad73066c94e928d1889f1135869a8.pdf / 1 MB
-
- Score (nominal)
- 40
- Score source
- journalList
- Score
- = 40.0, 18-05-2022, ArticleFromJournal
- Publication indicators
- = 3; = 6; = 6; : 2018 = 0.687
- Citation count
- 6
- Uniform Resource Identifier
- https://repo.pw.edu.pl/info/article/WUT482ad73066c94e928d1889f1135869a8/
- URN
urn:pw-repo:WUT482ad73066c94e928d1889f1135869a8
* presented citation count is obtained through Internet information analysis and it is close to the number calculated by the Publish or PerishOpening in a new tab system.