Process Control

Predictive Control Using Self-Tuning Model Predictive Controllers Library

P. Chalupa
Tomas Bata University in Zlin

Abstract

The paper is focused on a library of adaptive controllers which use model predictive control design. The Self-Tuning Model Predictive Controllers Library (STuMPCoL) has been designed in the MATLAB / Simulink environment and contains a framework for design and testing of Model predictive control approach combined with on-line identification of controlled process (self-tuning control). The paper presents techniques incorporated into the STuMPCoL and describes structure of self-tunig model predictive controllers. Moreover, the contribution includes some results obtained by simulation and real-time verification of the library.

Full paper

094.pdf

Session

Model Predictive Control (Poster)

Reference

Chalupa, P.: Predictive Control Using Self-Tuning Model Predictive Controllers Library. Editors: Fikar, M., Kvasnica, M., In Proceedings of the 17th International Conference on Process Control ’09, Štrbské Pleso, Slovakia, 419–425, 2009

BibTeX
@inProceedings{pc09-094,
author = {Chalupa, P.},
title = {Predictive Control Using Self-Tuning Model Predictive Controllers Library},
booktitle = {Proceedings of the 17th International Conference on Process Control '09},
year = {2009},
pages = {419-425},
editor = {Fikar, M. and Kvasnica, M.},
address = {Štrbské Pleso, Slovakia},
publisher = {Slovak University of Technology in Bratislava},
url = {http://www.kirp.chtf.stuba.sk/pc09/data/papers/094.pdf}}
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