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BŘEZINA, T., KREJSA, J., KRATOCHVÍL, C.
Original Title
ACTIVE MAGNETIC BEARING CONTROL THROUGH Q-LEARNING
English Title
Type
conference paper
Language
Czech
Original Abstract
The paper is focused on the control of active magnetic bearing using improved version of Q-learning. The improvement subsists in separating the Q-learning into two phases – efficient prelearning phase, which uses mathematical model of real system, and tutorage phase working with the real system and used for further improvement. Q-learning based controller is compared with PID controller and shows better results regarding the percentage of successful trials. When tutorage is applied the Q-learning based controllers show better results also in terms of control quality criterion. The policy found by learning express high robustness against errors of system variables observations.
English abstract
Keywords
Q-learning, control, active magnetic bearing
Key words in English
Authors
RIV year
2003
Released
11. 2. 2003
Publisher
Ústav termomechaniky AV ČR
Location
Praha
ISBN
80-85918-81-1
Book
Dynamics of Machines 2003
Edition number
1
Pages from
15
Pages to
22
Pages count
8
BibTex
@inproceedings{BUT9747, author="Tomáš {Březina} and Jiří {Krejsa} and Ctirad {Kratochvíl}", title="ACTIVE MAGNETIC BEARING CONTROL THROUGH Q-LEARNING", booktitle="Dynamics of Machines 2003", year="2003", number="1", pages="8", publisher="Ústav termomechaniky AV ČR", address="Praha", isbn="80-85918-81-1" }