Detail publikace

THE CONTROL OF ACTIVE MAGNETIC BEARING USING TWO-PHASE Q-LEARNING

BŘEZINA, T. KREJSA, J.

Český název

THE CONTROL OF ACTIVE MAGNETIC BEARING USING TWO-PHASE Q-LEARNING

Anglický název

THE CONTROL OF ACTIVE MAGNETIC BEARING USING TWO-PHASE Q-LEARNING

Typ

článek ve sborníku ve WoS nebo Scopus

Jazyk

cs

Originální abstrakt

Q-learning method proved to be usable in active magnetic bearing (AMB) control task, however the learning speed remains the main problem. Two-phase variant of the Q-learning speeds up the learning process by dividing the method into two stages – prelearning stage which uses mathematical model of AMB and is highly efficient and tutorage stage which uses conventional Q learning and is used for further fining of the Q-function. Comparison with PID controller is included to demonstrate algorithms control abilities. As table (step function) is used as Q-function implementation, the optimum configuration of the table (number and relative positions of node points) was also investigated.

Český abstrakt

Q-learning method proved to be usable in active magnetic bearing (AMB) control task, however the learning speed remains the main problem. Two-phase variant of the Q-learning speeds up the learning process by dividing the method into two stages – prelearning stage which uses mathematical model of AMB and is highly efficient and tutorage stage which uses conventional Q learning and is used for further fining of the Q-function. Comparison with PID controller is included to demonstrate algorithms control abilities. As table (step function) is used as Q-function implementation, the optimum configuration of the table (number and relative positions of node points) was also investigated.

Anglický abstrakt

Q-learning method proved to be usable in active magnetic bearing (AMB) control task, however the learning speed remains the main problem. Two-phase variant of the Q-learning speeds up the learning process by dividing the method into two stages – prelearning stage which uses mathematical model of AMB and is highly efficient and tutorage stage which uses conventional Q learning and is used for further fining of the Q-function. Comparison with PID controller is included to demonstrate algorithms control abilities. As table (step function) is used as Q-function implementation, the optimum configuration of the table (number and relative positions of node points) was also investigated.

Klíčová slova anglicky

Q-learning, active magnetic bearing (AMB), control

Rok RIV

2003

Vydáno

12.05.2003

Nakladatel

Institute of Theoretical and Applied Mechanics, Academy of Sciences of the Czech Republic, Prague

Místo

Praha

ISBN

80-86246-18-3

Kniha

Engeneering Mechanics 2003

Číslo edice

1

Počet stran

2

BIBTEX


@inproceedings{BUT7625,
  author="Tomáš {Březina} and Jiří {Krejsa},
  title="THE CONTROL OF ACTIVE MAGNETIC BEARING USING TWO-PHASE Q-LEARNING",
  booktitle="Engeneering Mechanics 2003",
  year="2003",
  month="May",
  publisher="Institute of Theoretical and Applied Mechanics, Academy of Sciences of the Czech Republic, Prague",
  address="Praha",
  isbn="80-86246-18-3"
}