Publication detail
Selflearning controller of active magnetic bearing
TUREK, M. BŘEZINA, T. PULCHART, J.
English title
Selflearning controller of active magnetic bearing
Type
Paper in proceedings (conference paper)
Language
en
Original abstract
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.
Keywords in English
Active Magnetic Bearing, Continuous Action Reinforcement Learning Automata
Released
2006-05-15
Book
Book of extended abstracts
Pages from–to
392–393
Pages count
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"
}