Publication detail
Q-learned Controller Performance of Asynchronous electromotor
MARADA, T. BŘEZINA, T.
Czech title
Q-learned controller performance of asynchronous electromotor
English title
Q-learned Controller Performance of Asynchronous electromotor
Type
journal article - other
Language
en
Original abstract
The contribution is focused on the application of Q-learning on asynchronous electromotor (AE) control. The learning process was divided into two phases – prelearning stage and tutorage stage. Tutorage stage uses conventional Q-learning procedure applied on Q function created during the prelearning stage. Tutorage is expected to be processed on real AE plant and its use for controller adaptation on possible system parameters changes is not excluded. Based on the tests the best grids of Q-function table for 2-D state and 3-D state were selected and obtained policies performance was compared with the performance of AE controlled by PID, which was tuned through Ziegler-Nichols methodology.
Czech abstract
The contribution is focused on the application of Q-learning on asynchronous electromotor (AE) control. The learning process was divided into two phases – prelearning stage and tutorage stage. Tutorage stage uses conventional Q-learning procedure applied on Q function created during the prelearning stage. Tutorage is expected to be processed on real AE plant and its use for controller adaptation on possible system parameters changes is not excluded. Based on the tests the best grids of Q-function table for 2-D state and 3-D state were selected and obtained policies performance was compared with the performance of AE controlled by PID, which was tuned through Ziegler-Nichols methodology.
English abstract
The contribution is focused on the application of Q-learning on asynchronous electromotor (AE) control. The learning process was divided into two phases – prelearning stage and tutorage stage. Tutorage stage uses conventional Q-learning procedure applied on Q function created during the prelearning stage. Tutorage is expected to be processed on real AE plant and its use for controller adaptation on possible system parameters changes is not excluded. Based on the tests the best grids of Q-function table for 2-D state and 3-D state were selected and obtained policies performance was compared with the performance of AE controlled by PID, which was tuned through Ziegler-Nichols methodology.
Keywords in English
Asynchronous electromotor, Q-learning, Control
RIV year
2004
Released
23.09.2004
Location
Warsaw, Poland
ISSN
0033-2089
Journal
Elektronika
Volume
2004
Number
8-9
Pages count
5
BIBTEX
@article{BUT45412,
author="Tomáš {Marada} and Tomáš {Březina},
title="Q-learned Controller Performance of Asynchronous electromotor",
journal="Elektronika",
year="2004",
volume="2004",
number="8-9",
month="September",
address="Warsaw, Poland",
issn="0033-2089"
}