Řízení asynchroního elektromotoru pomocí metody CARLA

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26210%2F05%3APU55351" target="_blank" >RIV/00216305:26210/05:PU55351 - isvavai.cz</a>

Výsledek na webu

—

DOI - Digital Object Identifier

—

Jazyk výsledku

angličtina

Název v původním jazyce

SOME NOTES ON CONTROL OF ASYNCHRONOUS ELECTROMOTOR BY IMPROVED CARLA METHOD

Popis výsledku v původním jazyce

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 probabilitydensities. 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 variancce 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 basi

Název v anglickém jazyce

SOME NOTES ON CONTROL OF ASYNCHRONOUS ELECTROMOTOR BY IMPROVED CARLA METHOD

Popis výsledku anglicky

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 probabilitydensities. 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 variancce 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 basi

Druh

D - Stať ve sborníku

CEP obor

JD - Využití počítačů, robotika a její aplikace

OECD FORD obor

—

Projekt

—

Návaznosti

Z - Vyzkumny zamer (s odkazem do CEZ)

Rok uplatnění

2005

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název statě ve sborníku

Book of extended abstracts

ISBN

80-85918-93-5

ISSN

—

e-ISSN

—

Počet stran výsledku

2

Strana od-do

315-316

Název nakladatele

—

Místo vydání

Academy of Sciences of the Czech Republic, Pragu

Místo konání akce

Svratka

Datum konání akce

9. 5. 2005

Typ akce podle státní příslušnosti

CST - Celostátní akce

Kód UT WoS článku

—