Offset-free state-space nonlinear predictive control for Wiener systems
Authors:
- Maciej Ławryńczuk,
- Piotr Tatjewski
Abstract
This work is concerned with state space Multiple-Input Multiple-Output (MIMO) Wiener systems which consist of a linear dynamic block connected in series with a nonlinear steady-state (static) one. Model Predictive Control (MPC) algorithms with successive on-line model or trajectory linearisation for dynamic processes described by such Wiener systems are discussed. Advantages of the presented MPC algorithms are: (a) computational efficiency since quadratic optimisation problems are only solved on-line, nonlinear optimisation is not necessary, (b) very good quality of control, (c) offset-free control (no steady-state error in presence of disturbances) assured by a novel approach to disturbance modelling and state estimation, resulting in a simple design and a simple control structure. All features of the discussed algorithms are demonstrated and their performance is compared with that of the MPC algorithm with nonlinear optimisation as well as with the traditional offset-free state-space MPC approach. Previous article in issue
- Record ID
- WUTadf0721551374d72b4c6378e06d938fa
- Author
- Journal series
- Information Sciences, ISSN 0020-0255, e-ISSN 1872-6291
- Issue year
- 2020
- Vol
- 511
- Pages
- 127-151
- Publication size in sheets
- 1.20
- Keywords in English
- Process control Model predictive control State-space Wiener systems Offset-free control Optimisation
- ASJC Classification
- ; ; ; ; ;
- DOI
- DOI:10.1016/j.ins.2019.09.042 Opening in a new tab
- URL
- https://www.sciencedirect.com/science/article/pii/S0020025519308916 Opening in a new tab
- Language
- (en) English
- File
-
- File: 1
- LAwrynczuk Tatjewski IS 2020.pdf
-
- Score (nominal)
- 200
- Score source
- journalList
- Score
- = 200.0, 18-05-2022, ArticleFromJournal
- Publication indicators
- = 5; = 15; = 15; : 2018 = 2.636; : 2020 (2 years) = 6.795 - 2020 (5 years) =6.524
- Citation count
- 16
- Uniform Resource Identifier
- https://repo.pw.edu.pl/info/article/WUTadf0721551374d72b4c6378e06d938fa/
- URN
urn:pw-repo:WUTadf0721551374d72b4c6378e06d938fa
* 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.