Detail publikace

ACTIVE MAGNETIC BEARING CONTROL THROUGH Q-LEARNING

BŘEZINA, T. KREJSA, J. KRATOCHVÍL, C.

Český název

ACTIVE MAGNETIC BEARING CONTROL THROUGH Q-LEARNING

Anglický název

ACTIVE MAGNETIC BEARING CONTROL THROUGH Q-LEARNING

Typ

článek ve sborníku ve WoS nebo Scopus

Jazyk

cs

Originální abstrakt

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.

Český abstrakt

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.

Anglický abstrakt

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.

Klíčová slova česky

Q-learning, control, active magnetic bearing

Klíčová slova anglicky

Q-learning, control, active magnetic bearing

Rok RIV

2003

Vydáno

11.02.2003

Nakladatel

Ústav termomechaniky AV ČR

Místo

Praha

ISBN

80-85918-81-1

Kniha

Dynamics of Machines 2003

Číslo edice

1

Počet stran

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",
  month="February",
  publisher="Ústav termomechaniky AV ČR",
  address="Praha",
  isbn="80-85918-81-1"
}