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Wheel Slip Determination Capability of Locomotive Driven by 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%3A00322750" target="_blank" >RIV/68407700:21230/18:00322750 - isvavai.cz</a>

  • Result on the web

  • DOI - Digital Object Identifier

Alternative languages

  • Result language

    angličtina

  • Original language name

    Wheel Slip Determination Capability of Locomotive Driven by Model Predictive Control

  • Original language description

    Most of the railway traction vehicles are moved thanks to the transfer of traction, braking force by small contact area between wheels and rail (steal to steal contact). The ability of force transfer by contact area or also the sum of the contact area physical properties is called adhesion. In order to utilize maximum transferable force, a slip controller has to be added into drive control structure. The paper studies possibility of the Model Predictive Control (MPC) strategy application to support the slip controller function. The considered slip controller is based on the speed and current response of the torque reference signal injection. Therefore, the controller requires high torque control accuracy. Results of MPC are compared with the Direct Torque Control (DTC) strategy that is often used for control of high power drives with induction motor (IM).

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

  • OECD FORD branch

    20201 - Electrical and electronic engineering

Result continuities

  • Project

  • Continuities

    S - Specificky vyzkum na vysokych skolach

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

    2018 IEEE 18th International Power Electronics and Motion Control Conference (PEMC)

  • ISBN

    9781538641996

  • ISSN

  • e-ISSN

  • Number of pages

    6

  • Pages from-to

  • Publisher name

    IEEE (Institute of Electrical and Electronics Engineers)

  • Place of publication

  • Event location

    Budapest

  • Event date

    Aug 26, 2018

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article