Publication result detail

The Issue of Quantization Effect in Direct Implementation of Adaptive LQ Controller with NN Identification into PLC

ŠVANCARA, K., PIVOŇKA, P.

Original Title

The Issue of Quantization Effect in Direct Implementation of Adaptive LQ Controller with NN Identification into PLC

English Title

The Issue of Quantization Effect in Direct Implementation of Adaptive LQ Controller with NN Identification into PLC

Type

Paper in proceedings (conference paper)

Original Abstract

The direct implementation of the control algorithm from the simulation environment to the industrial process controller is the aim of many current papers. The sequence of direct implementation usually consists of three steps: simple simulation experiment, real time communication with the real process and monitoring of the control algorithm after implementation. The direct implementation enables us to describe the quantization effect. The issue of quantization effect disturbance given by A/D and D/A converters is often forgotten. This paper shows the second and the third implementation step where the first one was described in the 10th Zittau Fuzzy Colloquium. The advantage of identification based on neural networks in adaptive LQ controller that overcomes presented problem is introduced below.

English abstract

The direct implementation of the control algorithm from the simulation environment to the industrial process controller is the aim of many current papers. The sequence of direct implementation usually consists of three steps: simple simulation experiment, real time communication with the real process and monitoring of the control algorithm after implementation. The direct implementation enables us to describe the quantization effect. The issue of quantization effect disturbance given by A/D and D/A converters is often forgotten. This paper shows the second and the third implementation step where the first one was described in the 10th Zittau Fuzzy Colloquium. The advantage of identification based on neural networks in adaptive LQ controller that overcomes presented problem is introduced below.

Keywords

Real time communication, Neural networks identification, Adaptive LQ controller, ANSI C

Key words in English

Real time communication, Neural networks identification, Adaptive LQ controller, ANSI C

Authors

ŠVANCARA, K., PIVOŇKA, P.

RIV year

2011

Released

20.09.2003

Location

Zittau

ISBN

3-9808089-4-7

Book

Third EUSFLAT Proceedings

Edition

Neuveden

Volume

Neuveden

Pages from

361

Pages count

6

BibTex

@inproceedings{BUT8169,
  author="Kamil {Švancara} and Petr {Pivoňka}",
  title="The Issue of Quantization Effect in Direct Implementation of Adaptive LQ Controller with NN Identification into PLC",
  booktitle="Third EUSFLAT Proceedings",
  year="2003",
  series="Neuveden",
  volume="Neuveden",
  number="1",
  pages="6",
  address="Zittau",
  isbn="3-9808089-4-7"
}