Detail publikace

Selflearning controller of active magnetic bearing

TUREK, M. BŘEZINA, T. PULCHART, J.

Originální název

Selflearning controller of active magnetic bearing

Typ

článek ve sborníku ve WoS nebo Scopus

Jazyk

angličtina

Originální abstrakt

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.

Klíčová slova

Active Magnetic Bearing, Continuous Action Reinforcement Learning Automata

Autoři

TUREK, M.; BŘEZINA, T.; PULCHART, J.

Rok RIV

2006

Vydáno

15. 5. 2006

Strany od

392

Strany do

393

Strany počet

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"
}