Publication detail

Selflearning controller of active magnetic bearing

TUREK, M. BŘEZINA, T. PULCHART, J.

Original Title

Selflearning controller of active magnetic bearing

Type

conference paper

Language

English

Original Abstract

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.

Keywords

Active Magnetic Bearing, Continuous Action Reinforcement Learning Automata

Authors

TUREK, M.; BŘEZINA, T.; PULCHART, J.

RIV year

2006

Released

15. 5. 2006

Pages from

392

Pages to

393

Pages count

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"
}