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Detail publikace
ŠVANCARA, K., PIVOŇKA, P.
Originální název
Quantization Effect Influences Identification in Adaptive LQ Controller
Typ
článek ve sborníku ve WoS nebo Scopus
Jazyk
angličtina
Originální abstrakt
Many controlling algorithms were developed to satisfy designer’s assumption that controlled process is stable, optimal, adaptive etc. Only few of them should be used in the real-time, on-line adaptation or implemented into Programmable Logic Controller. Algorithms based on neural networks were successfully tested as for the process control as for the process identification. In simulation, quantization effect given by A/D and D/A converter is very often left out. Quantization effect influences identified process transfer function and controller possibilities. In this case, controller controls the process inaccurate and often with oscillations than without quantization. This paper shows a comparison between two identification methods. Online identification (in the real time) based on neural networks and a classical identification are implemented in adaptive LQ controller with three types of A/D and D/A converters at least be closer in simulation the real process controlling.
Klíčová slova v angličtině
Adaptive controller, optimal controller, ARMA model, LD-FIL decomposition, Matlab
Autoři
Rok RIV
2003
Vydáno
18. 6. 2003
Nakladatel
Kostas J. Kyriakopoulos, National Technical University of Athens, Greece
Místo
Rhodos, Řecko
ISBN
960-87706-0-2
Kniha
The 11th Mediterranean Conference on Control and Automation
Strany od
77
Strany do
82
Strany počet
6
BibTex
@inproceedings{BUT7879, author="Kamil {Švancara} and Petr {Pivoňka}", title="Quantization Effect Influences Identification in Adaptive LQ Controller", booktitle="The 11th Mediterranean Conference on Control and Automation", year="2003", pages="6", publisher="Kostas J. Kyriakopoulos, National Technical University of Athens, Greece", address="Rhodos, Řecko", isbn="960-87706-0-2" }