Publication detail

Determination of Q-function Optimum Grid for Control Task of Asynchronous Electric Motor

MARADA, T. BŘEZINA, T. SINGULE, V.

Czech title

Stanovení optimálního rastru Q-funkce pro řízení asynchronního elektromotoru

English title

Determination of Q-function Optimum Grid for Control Task of Asynchronous Electric Motor

Type

conference paper

Language

cs

Original abstract

Asynchronous electric motor control task can be successfully solved using reinforcement learning based method called Q-learning. The main problem to solve is the convergence speed. Two-phase Q-learning can be used to speed up the learning process. Efficient prelearning phase uses mathematical model and next phase using for tutorage real system. This method can increase learning speed significantly. When the table is used as Q-function approximation, the learning speed and precision of found controllers depend highly on the Q-function table grid properties. The paper is focused on finding the optimal division of grid.

Czech abstract

Asynchronous electric motor control task can be successfully solved using reinforcement learning based method called Q-learning. The main problem to solve is the convergence speed. Two-phase Q-learning can be used to speed up the learning process. Efficient prelearning phase uses mathematical model and next phase using for tutorage real system. This method can increase learning speed significantly. When the table is used as Q-function approximation, the learning speed and precision of found controllers depend highly on the Q-function table grid properties. The paper is focused on finding the optimal division of grid.

English abstract

Asynchronous electric motor control task can be successfully solved using reinforcement learning based method called Q-learning. The main problem to solve is the convergence speed. Two-phase Q-learning can be used to speed up the learning process. Efficient prelearning phase uses mathematical model and next phase using for tutorage real system. This method can increase learning speed significantly. When the table is used as Q-function approximation, the learning speed and precision of found controllers depend highly on the Q-function table grid properties. The paper is focused on finding the optimal division of grid.

Keywords in English

Asynchronous electromotor, Q-learning, Control, PID

RIV year

2004

Released

24.05.2004

Publisher

Slovak University of Technology Bratislava, Faculty of Mechanical Engineering CA MECHATRONICS

Location

Bratislav, SK

ISBN

80-227-2064-X

Book

Proceedings of the 7th International Symposium "Topical Questions of Teaching Mechatronics"

Journal

Nezařazené články

Pages count

5

BIBTEX


@inproceedings{BUT12316,
  author="Tomáš {Marada} and Tomáš {Březina} and Vladislav {Singule},
  title="Stanovení optimálního rastru Q-funkce pro řízení asynchronního elektromotoru",
  journal="Nezařazené články",
  booktitle="Proceedings of the 7th International Symposium "Topical Questions of Teaching Mechatronics"",
  year="2004",
  month="May",
  publisher="Slovak University of Technology Bratislava, Faculty of Mechanical Engineering CA MECHATRONICS",
  address="Bratislav, SK",
  isbn="80-227-2064-X"
}