Publication result detail

Generalized Predictive Control with Nonlinear Model

MIKŠÁNEK, V.

Original Title

Generalized Predictive Control with Nonlinear Model

English Title

Generalized Predictive Control with Nonlinear Model

Type

Paper in proceedings (conference paper)

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.

English 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

Key words in English

Generalized Predictive Control, Nonlinear Model, Neural Networks

Authors

MIKŠÁNEK, V.

Released

01.01.2007

Publisher

Ing. Zdeněk Novotný, CSc.

ISBN

978-80-214-3409-7

Book

PROCEEDINGS OF THE 13th CONFERENCE STUDENT EEICT 2007

Pages from

87

Pages 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"
}