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Loss Reduction in Induction Motor Drive Using Model Predictive Control

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21230%2F18%3A00322273" target="_blank" >RIV/68407700:21230/18:00322273 - isvavai.cz</a>

  • Result on the web

  • DOI - Digital Object Identifier

Alternative languages

  • Result language

    angličtina

  • Original language name

    Loss Reduction in Induction Motor Drive Using Model Predictive Control

  • Original language description

    The induction motor drive with variable speed is a very common drive in many applications. To ensure the induction motor drive speed control, the sophisticated control methods must be utilized. In the paper, the Model Predictive Control (MPC) is employed. This method is usually used in order to control the induction motor flux amplitude and torque values. The induction motor is powered by the semiconductor voltage source inverter. Switching the semiconductor devices and current flow cause arise of losses in inverter. To decrease the losses, the modified MPC method is derived in the paper. In the Matlab Simulink environment reached simulation results show a reduction in losses at the newly modified control strategy compared to the conventional MPC method.

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

  • OECD FORD branch

    20201 - Electrical and electronic engineering

Result continuities

  • Project

    <a href="/en/project/TE02000103" target="_blank" >TE02000103: Center for Intelligent Drives and Advanced Machine Control (CIDAM)</a><br>

  • Continuities

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

Others

  • Publication year

    2018

  • 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 2018 10th International Conference on Electronics, Computers and Artifical Intelligence

  • ISBN

    978-1-5386-4900-8

  • ISSN

  • e-ISSN

  • Number of pages

    4

  • Pages from-to

  • Publisher name

    IEEE (Institute of Electrical and Electronics Engineers)

  • Place of publication

  • Event location

    Iasi

  • Event date

    Jun 28, 2018

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article