ACTIVE MAGNETIC BEARING CONTROL THROUGH Q-LEARNING

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26210%2F03%3APU34278" target="_blank" >RIV/00216305:26210/03:PU34278 - isvavai.cz</a>

Result on the web

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DOI - Digital Object Identifier

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Result language

čeština

Original language name

ACTIVE MAGNETIC BEARING CONTROL THROUGH Q-LEARNING

Original language description

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 basedcontrollers show better results also in terms of control quality criterion. The policy found by learning express high robustness against errors of system variables observations.

Czech name

ACTIVE MAGNETIC BEARING CONTROL THROUGH Q-LEARNING

Czech description

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Type

D - Article in proceedings

CEP classification

JD - Use of computers, robotics and its application

OECD FORD branch

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Project

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Continuities

Z - Vyzkumny zamer (s odkazem do CEZ)

Publication year

2003

Confidentiality

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Article name in the collection

Dynamics of Machines 2003

ISBN

80-85918-81-1

ISSN

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e-ISSN

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Number of pages

8

Pages from-to

15-22

Publisher name

Ústav termomechaniky AV ČR

Place of publication

Praha

Event location

Praha

Event date

Feb 11, 2003

Type of event by nationality

EUR - Evropská akce

UT code for WoS article

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