Detail publikace
Selflearning controller of active magnetic bearing
TUREK, M. BŘEZINA, T. PULCHART, J.
Anglický název
Selflearning controller of active magnetic bearing
Typ
Stať ve sborníku v databázi WoS či Scopus
Jazyk
en
Originální abstrakt
The active magnetic bearing control through self learning controller is described in this contribution. controller's coefficient (parameter) values come from actions of Continuous Action Reinforcement Learning Automatas (CARLAs) whic continuously update the controller's coefficients according to behavior of the active magnetic bearing. The goal of this on-line training is formulated as achievement of minimum mean square of control error. It is shown that CARLA method is capable of learning better parameters than standard method of optimal control design called LQ (linear quadratic) design. Described concept of control is proved by control of the active magnetic bearing.
Klíčová slova anglicky
Active Magnetic Bearing, Continuous Action Reinforcement Learning Automata
Vydáno
2006-05-15
Kniha
Book of extended abstracts
Strany od–do
392–393
Počet stran
2
BIBTEX
@inproceedings{BUT19037,
author="Milan {Turek} and Tomáš {Březina} and Jaroslav {Pulchart}",
title="Selflearning controller of active magnetic bearing",
booktitle="Book of extended abstracts",
year="2006",
pages="392--393"
}