|
Digital
Library of the European Council for Modelling and Simulation |
Title: |
MATLAB Toolbox For
Self-Tuning Predictive Control Of Time-Delayed Systems |
Authors: |
Radek Holis,
Vladimir Bobal |
Published in: |
(2018). ECMS 2018
Proceedings Edited by: Lars Nolle, Alexandra
Burger, Christoph Tholen,
Jens Werner, Jens Wellhausen European Council for
Modeling and Simulation. doi:
10.7148/2018-0005 ISSN:
2522-2422 (ONLINE) ISSN:
2522-2414 (PRINT) ISSN:
2522-2430 (CD-ROM) 32nd European Conference on Modelling and Simulation, Wilhelmshaven, Germany, May 22nd
– May 265h, 2018 |
Citation
format: |
Radek Holis, Vladimir Bobal (2018). MATLAB Toolbox For Self-Tuning Predictive
Control Of Time-Delayed Systems, ECMS 2018
Proceedings Edited by: Lars Nolle, Alexandra
Burger, Christoph Tholen,
Jens Werner, Jens Wellhausen European Council for
Modeling and Simulation. doi:
10.7148/2018-0205 |
DOI: |
https://doi.org/10.7148/2018-0205 |
Abstract: |
The designed MATLAB/SIMULINK Toolbox is
dedicated to develop and design predictive Self-Tuning Control (STC)
algorithm for the time-delayed systems. In practice, many processes can
exhibit time-delay in their dynamic behavior, which is mainly caused by a
time needed for transport of the energy, information, or mass. In lights of
these facts, it is necessary to develop suitable algorithm and verify its
correct dynamic behavior using simulation first, so this Toolbox can be used
in advantage. This paper deals with the basic principles of Model Predictive
Control (MPC), calculation of control law, design process of the predictive
controller and recursive identification of control process using Recursive
Least Squares Method (RLSM). There are also many cases when compensation of
measurable disturbance is required, so this Toolbox allows compensating of
this disturbance. |
Full
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