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Enhanced Discrete Time Model for AC Induction Machine Model Predictive Control

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26220%2F12%3APU100263" target="_blank" >RIV/00216305:26220/12:PU100263 - isvavai.cz</a>

  • Result on the web

  • DOI - Digital Object Identifier

Alternative languages

  • Result language

    angličtina

  • Original language name

    Enhanced Discrete Time Model for AC Induction Machine Model Predictive Control

  • Original language description

    AC induction motors became very popular for motion control applications due to their simple and reliable construction. Control of drives based on AC induction motors is a quite complex task. In most high-performance applications classical vector control is currently used. While this control method is usually reliable it has some limitations especially in controllers tuning and constraints handling. New control methods like Model Predictive Control become feasible in connection with increasing computational power of controller hardware. The paper deals with enhanced discrete time AC induction machine model which can be used for efficient predictive control implementation. The other objective of the paper is discussion of prediction horizon length on the drive control performance.

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

    JB - Sensors, detecting elements, measurement and regulation

  • OECD FORD branch

Result continuities

  • Project

    Result was created during the realization of more than one project. More information in the Projects tab.

  • Continuities

    P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Others

  • Publication year

    2012

  • 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 IECON 2012 - 38th Annual Conference on IEEE Industrial Electronics Society

  • ISBN

    978-1-4673-2420-5

  • ISSN

  • e-ISSN

  • Number of pages

    6

  • Pages from-to

    5025-5030

  • Publisher name

    IEEE

  • Place of publication

    Kanada

  • Event location

    Montreal

  • Event date

    Oct 25, 2012

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article