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

Result description

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 controllersdepend highly on the Q-function table grid properties. The paper is focused on finding the optimal division of grid.

Keywords

Asynchronous electromotorQ-learningControlPID

The result's identifiers

Alternative languages

  • Result language

    čeština

  • Original language name

    Stanovení optimálního rastru Q-funkce pro řízení asynchronního elektromotoru

  • Original language description

    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 controllersdepend highly on the Q-function table grid properties. The paper is focused on finding the optimal division of grid.

  • Czech name

    Stanovení optimálního rastru Q-funkce pro řízení asynchronního elektromotoru

  • Czech description

    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 controllersdepend highly on the Q-function table grid properties. The paper is focused on finding the optimal division of grid.

Classification

  • Type

    D - Article in proceedings

  • CEP classification

    JD - Use of computers, robotics and its application

  • OECD FORD branch

Result continuities

  • Project

  • Continuities

    V - Vyzkumna aktivita podporovana z jinych verejnych zdroju

Others

  • Publication year

    2004

  • Confidentiality

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

Data specific for result type

  • Article name in the collection

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

  • ISBN

    80-227-2064-X

  • ISSN

  • e-ISSN

  • Number of pages

    5

  • Pages from-to

  • Publisher name

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

  • Place of publication

    Bratislav, SK

  • Event location

    Bratislava

  • Event date

    May 24, 2004

  • Type of event by nationality

    EUR - Evropská akce

  • UT code for WoS article

Basic information

Result type

D - Article in proceedings

D

CEP

JD - Use of computers, robotics and its application

Year of implementation

2004