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Model predictive control of multiple induction machines fed from single inverter

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F49777513%3A23220%2F17%3A43932840" target="_blank" >RIV/49777513:23220/17:43932840 - isvavai.cz</a>

  • Result on the web

    <a href="http://ieeexplore.ieee.org/document/8217102/" target="_blank" >http://ieeexplore.ieee.org/document/8217102/</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1109/IECON.2017.8217102" target="_blank" >10.1109/IECON.2017.8217102</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Model predictive control of multiple induction machines fed from single inverter

  • Original language description

    Finite control set model predictive control (FCS-MPC) has become very popular form of predictive control among the technical society. Thank to its flexibility and well understood and simple structure, it is well suited for control of ac drives. It represents very interesting alternative for conventional control schemes based on cascade structures with PI controllers. The substantial advantage of MPC based approaches, is the ability of control so called MIMO (Multiple Input Multiple Output) systems in a simple way. This paper deals with the design of FCS-MPC for control of multiple induction machine fed from single inverter. Such drive configuration can offer significant cost and installation space reduction. However the complexity of a control design significantly increases. In multi - motor drives, the condition on each electric machine can vary. Typically, this is a case of traction drives, where the load on each electric machine can vary due to the inhomogeneous friction conditions on the railway track. We propose to use FCS-MPC algorithm as a simple alternative to conventional cascade control approaches. In order to verify the performance of proposed algorithm, we have tested the control technique in simulations and experiments on laboratory prototype of rated power 4.5 kW.

  • 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/LO1607" target="_blank" >LO1607: RICE - New technologies and concepts for smart industrial system</a><br>

  • Continuities

    P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)<br>S - Specificky vyzkum na vysokych skolach

Others

  • Publication year

    2017

  • 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 2017 : 43rd Annual Conference of the IEEE Industrial Electronics Society

  • ISBN

    978-1-5386-1127-2

  • ISSN

  • e-ISSN

    neuvedeno

  • Number of pages

    6

  • Pages from-to

    6330-6335

  • Publisher name

    IEEE

  • Place of publication

    Piscataway

  • Event location

    Beijing, China

  • Event date

    Oct 29, 2017

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article