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Publication detail
MIKŠÁNEK, V.
Original Title
Generalized Predictive Control with Nonlinear Model
Type
conference paper
Language
English
Original Abstract
This paper deals with Model Predictive Control (MPC) - a control algorithm which optimizes control action and output error within a time horizon. A nonlinear model is obtained by using Neural Network and has to be linearized in each operating point. A model is used to predict the future behaviour. First, the control algorithm was implemented in MATLAB/Simulink and tested on mathematical models. After that it was implemented in the Programmable Logical Controller (PLC) B&R and tested on a physical model.
Keywords
Generalized Predictive Control, Nonlinear Model, Neural Networks
Authors
RIV year
2007
Released
1. 1. 2007
Publisher
Ing. Zdeněk Novotný, CSc.
ISBN
978-80-214-3409-7
Book
PROCEEDINGS OF THE 13th CONFERENCE STUDENT EEICT 2007
Pages from
87
Pages to
91
Pages count
5
BibTex
@inproceedings{BUT22962, author="Vojtěch {Mikšánek}", title="Generalized Predictive Control with Nonlinear Model", booktitle="PROCEEDINGS OF THE 13th CONFERENCE STUDENT EEICT 2007", year="2007", pages="5", publisher="Ing. Zdeněk Novotný, CSc.", isbn="978-80-214-3409-7" }