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ŠVANCARA, K., PIVOŇKA, P.
Original Title
The Issue of Quantization Effect in Direct Implementation of Adaptive LQ Controller with NN Identification into PLC
Type
conference paper
Language
English
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.
Keywords
Real time communication, Neural networks identification, Adaptive LQ controller, ANSI C
Authors
RIV year
2003
Released
20. 9. 2003
Location
Zittau
ISBN
3-9808089-4-7
Book
Third EUSFLAT Proceedings
Edition
Neuveden
Edition number
1
Pages from
361
Pages to
366
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" }