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ŠVANCARA, K., PIVOŇKA, P.
Original Title
Quantization Effect Influences Identification in Adaptive LQ Controller
Type
conference paper
Language
English
Original Abstract
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.
Key words in English
Adaptive controller, optimal controller, ARMA model, LD-FIL decomposition, Matlab
Authors
RIV year
2003
Released
18. 6. 2003
Publisher
Kostas J. Kyriakopoulos, National Technical University of Athens, Greece
Location
Rhodos, Řecko
ISBN
960-87706-0-2
Book
The 11th Mediterranean Conference on Control and Automation
Pages from
77
Pages to
82
Pages count
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" }