Detail publikace

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

BŘEZINA, T. TUREK, M. PULCHART, J.

Anglický název

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

Typ

Článek recenzovaný mimo WoS a Scopus

Jazyk

en

Originální abstrakt

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.

Klíčová slova anglicky

control, active magnetic bearing, reinforcement learning

Vydáno

2007-01-01

ISSN

0032-4140

Ročník

2007

Číslo

1

Strany od–do

6–9

Počet stran

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"
}