Publication detail

Self-learning controller of active magnetic bearing based on CARLA method

BŘEZINA, T. TUREK, M. PULCHART, J.

English title

Self-learning controller of active magnetic bearing based on CARLA method

Type

Peer-reviewed article not indexed in WoS or Scopus

Language

en

Original abstract

The active magnetic bearing control through analytically designed linear PD regulator, with parallel nonlinear compensation represented by automatic approximator is described in this contribution. Coefficient (parameter) values come from actions of Continuous Action Reinformcement Learning Automata (CARLAs). Influence of CARLAs parameters to learning is discussed. Parameters influence is proved by simulation study. It is shown that learning improvement can be reached by selecting appropriate parameters of learning.

Keywords in English

control, active magnetic bearing, reinforcement learning

Released

2007-01-01

ISSN

0032-4140

Volume

2007

Number

1

Pages from–to

6–9

Pages count

4

BIBTEX


@article{BUT44001,
  author="Tomáš {Březina} and Milan {Turek} and Jaroslav {Pulchart}",
  title="Self-learning controller of active magnetic bearing based on CARLA method",
  journal="Pomiary Automatyka Kontrola",
  year="2007",
  volume="2007",
  number="1",
  pages="6--9",
  issn="0032-4140"
}