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Digital
Library of the European Council for Modelling
and Simulation |
Title: |
Optimal Control With Disturbance Estimation |
Authors: |
Frantisek
Dusek, Daniel Honc, Rahul Sharma K. |
Published in: |
(2017).ECMS 2017 Proceedings
Edited by: Zita Zoltay Paprika, Péter Horák, Kata Váradi, Péter Tamás
Zwierczyk, Ágnes Vidovics-Dancs, János Péter Rádics European Council for Modeling and Simulation. doi:10.7148/2017 ISBN:
978-0-9932440-4-9/ ISBN:
978-0-9932440-5-6 (CD) 31st European Conference on Modelling and
Simulation, Budapest, Hungary, May 23rd
– May 26th, 2017 |
Citation
format: |
Frantisek
Dusek, Daniel Honc, Rahul Sharma K. (2017). Optimal Control With Disturbance
Estimation, ECMS 2017 Proceedings Edited by: Zita Zoltay Paprika, Péter
Horák, Kata Váradi, Péter Tamás Zwierczyk, Ágnes Vidovics-Dancs, János
Péter Rádics European Council for Modeling and Simulation. doi: 10.7148/2017-0362 |
DOI: |
https://doi.org/10.7148/2017-0362 |
Abstract: |
The
paper deals with a very common situation in many control systems and this is
the fact that, for zero control action, the controlled variable is nonzero.
This is often caused by the existence of another process input
which is uncontrolled. Classic controllers do not take into account
the second input, so deviation variables are considered or some feedforward
controller is used to compensate the variable. The authors propose a
solution, that the process is considered as a system with two inputs and
single output (TISO). Here, the uncontrolled input is estimated with the
state observer and the controller is designed as the multivariable
controller. A Linear-quadratic (LQ) state-feedback control and model
predictive control (MPC) of simple thermal process simulations are provided
to demonstrate the proposed control strategy. |
Full
text: |