|
|
Digital
Library of the European Council for Modelling and Simulation |
|
Title: |
Predictive
Control Of Three-Tank-System Utilizing Both State-Space And Input-Output
Models |
|
Authors: |
Marek
Kubalcik, Vladimir Bobal |
|
Published in:
|
(2016).ECMS 2016 Proceedings edited
by: Thorsen Claus, Frank Herrmann, Michael Manitz, Oliver Rose, European Council for Modeling and
Simulation. doi:10.7148/2016 ISBN:
978-0-9932440-2-5 30th
European Conference on Modelling and Simulation, Regensburg Germany, May 31st
– June 3rd, 2016 |
|
Citation
format: |
Marek
Kubalcik, Vladimir Bobal
(2016). Predictive Control Of Three-Tank-System Utilizing Both State-Space
And Input-Output Models, ECMS 2016 Proceedings edited by: Thorsten Claus,
Frank Herrmann, Michael Manitz, Oliver Rose European
Council for Modeling and Simulation. doi:10.7148/2016-0347 |
|
DOI: |
http://dx.doi.org/10.7148/2016-0347 |
|
Abstract: |
The paper introduces a controller which integrates a predictive control synthesis
based on a multivariable state-space model of a controlled system and an
on-line identification of an ARX model corresponding to the state-space
model. The used approach then combines both the state-space and input-output
models. The model parameters are recursively estimated using the recursive
least squares method. The control algorithm is based on the Generalised Predictive Control (GPC) method. The
optimization was realized by minimization of a quadratic objective function.
The controller was applied for simulation control of a model of a threetank- system. The objective simulation model is a
two input-two output (TITO) nonlinear system. Results of simulations are also
included. |
|
Full
text: |
|
