|
|
Digital
Library of the European Council for Modelling and Simulation |
|
Title: |
Multimodel Approach In State-Space Predictive Control |
|
Authors: |
Lukas
Rusar, 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: |
Lukas
Rusar, Vladimir Bobal
(2018). Multimodel Approach In State-Space
Predictive Control, ECMS 2018 Proceedings
Edited by: Lars Nolle, Alexandra Burger, Christoph Tholen, Jens Werner,
Jens Wellhausen European Council for Modeling and
Simulation. doi:
10.7148/2018-0232 |
|
DOI: |
https://doi.org/10.7148/2018-0232 |
|
Abstract: |
This paper presents a multimodel approach to control nonlinear systems. The
system of the inverted pendulum which has one control input
and two measured outputs was chosen as an exemplar process. This
system is an example of the nonlinear process with a sampling period in order
of milliseconds. The state-space predictive control of the system described
by CARIMA model was chosen as a control method. This paper presents a
description of the inverted pendulum nonlinear mathematical model, its
linearization and the control signal calculation using predictor-corrector
method. The results compare three methods of linearized
model combination. All of the simulations were done in Matlab. |
|
Full
text: |
|
