Detail publikace
SOME NOTES ON CONTROL OF ASYNCHRONOUS ELECTROMOTOR BY IMPROVED CARLA METHOD
Turek, M. Březina, T. Pulchart, J.
Anglický název
SOME NOTES ON CONTROL OF ASYNCHRONOUS ELECTROMOTOR BY IMPROVED CARLA METHOD
Typ
Stať ve sborníku v databázi WoS či Scopus
Jazyk
en
Originální abstrakt
Modifications of reinforcement learning algorithm, so called continuous action reinforcement learning automaton (CARLA), are presented in this contribution. Automaton learning algorithm is based on rewarding that gradually evolves the set of probability densities. This set is consequently used for action set determination. Modifications consist of improving learning parameters based on learned values. Thereby higher values of probability density near the best action are reached and therefore the variance of chosen actions is lower than original. The influence of modifications is proved by simulation study describing learning and behavior of asynchronous electromotor scalar control. Standard PSD controller is used whose parameter values represent actions of three independent automata. The goal of on line learning process is to minimize the mean square of control error. Here described modifications of algorithm allow the improvement of quality of revolutions control with preserving basic algorithm characteristics.
Vydáno
2005-05-09
Místo
Academy of Sciences of the Czech Republic, Prague
ISBN
80-85918-93-5
Kniha
Book of extended abstracts
Strany od–do
315–316
Počet stran
2
BIBTEX
@inproceedings{BUT20505,
author="Milan {Turek} and Tomáš {Březina} and Jaroslav {Pulchart}",
title="SOME NOTES ON CONTROL OF ASYNCHRONOUS ELECTROMOTOR BY IMPROVED CARLA METHOD",
booktitle="Book of extended abstracts",
year="2005",
pages="315--316",
address="Academy of Sciences of the Czech Republic, Prague",
isbn="80-85918-93-5"
}