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Publication detail
Turek, M., Březina, T., Pulchart, J.
Original Title
SOME NOTES ON CONTROL OF ASYNCHRONOUS ELECTROMOTOR BY IMPROVED CARLA METHOD
Type
conference paper
Language
English
Original Abstract
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.
Key words in English
active magnetic bearing, control, CARLA
Authors
RIV year
2005
Released
9. 5. 2005
Location
Academy of Sciences of the Czech Republic, Prague
ISBN
80-85918-93-5
Book
Book of extended abstracts
Pages from
315
Pages to
316
Pages count
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" }