Detail publikace

Process Control with Neural Networks in PC-B&R Environment

SCHMIDT, M.

Originální název

Process Control with Neural Networks in PC-B&R Environment

Typ

článek ve sborníku ve WoS nebo Scopus

Jazyk

angličtina

Originální abstrakt

This paper shows the possibilities of using Matlab for developing control algorithms. The algorithms are implemented as S-functions in ANSI C. After their testing on simulation models in Simulink they are trivially connected to a B&R PLC and tested with physical models. Because the B&R PLCs are programmable in ANSI C, this method allows the algorithms to be later easily ported to the PLC completely. This development method is used for implementation of control algorithms with neural networks. The implemented algorithms are: Direct inverse controller, Takahashi controller with constants set by neural network, Takahashi controller with neural identification of the process.

Klíčová slova v angličtině

neural networks, control, Matlab, S-function, PLC, ANSI C

Autoři

SCHMIDT, M.

Rok RIV

2004

Vydáno

1. 1. 2004

Nakladatel

Ing. Zdeněk Novotný CSc.

Místo

Brno

ISBN

80-214-2634-9

Kniha

Proceedings of the 10th Conference Student EEICT 2004 - Volume 1

Strany od

67

Strany do

69

Strany počet

3

BibTex

@inproceedings{BUT12627,
  author="Michal {Schmidt}",
  title="Process Control with Neural Networks in PC-B&R Environment",
  booktitle="Proceedings of the 10th Conference Student EEICT 2004 - Volume 1",
  year="2004",
  pages="3",
  publisher="Ing. Zdeněk Novotný CSc.",
  address="Brno",
  isbn="80-214-2634-9"
}