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Constrained LQR control of dual induction motor single inverter drive

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F49777513%3A23220%2F21%3A43959113" target="_blank" >RIV/49777513:23220/21:43959113 - isvavai.cz</a>

  • Result on the web

    <a href="https://ieeexplore.ieee.org/document/9097448" target="_blank" >https://ieeexplore.ieee.org/document/9097448</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1109/TIE.2020.2994885" target="_blank" >10.1109/TIE.2020.2994885</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Constrained LQR control of dual induction motor single inverter drive

  • Original language description

    Control of dual induction motor fed by a single voltage source inverter is a challenging task especially during unbalanced load conditions on each motor. Such drive configurations are common for example in traction. Conventional control algorithms solve the control of each motor in a separate control loop and the overall control action is a case, the control performance strongly relies on the specific design of weighting coefficients, which should be state dependent and time varying value in majority of cases. In this contribution, we formulate the control problem as an optimization task and investigate the use of SDRE and predictive control concepts. We show that it is sufficient to consider a simple LQR controller with rule based predictive controller for current limitation. The proposed control algorithm naturally weights contribution of tracking error of each drive. Moreover, due to high level of symmetry in the system, only two parameters are tuned manually. Experimental testing is used to validate the control algorithm on a laboratory prototype of dual induction motor drive of rated power 2 x 4.5kW.

  • Czech name

  • Czech description

Classification

  • Type

    J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database

  • CEP classification

  • OECD FORD branch

    20201 - Electrical and electronic engineering

Result continuities

  • Project

    <a href="/en/project/EF18_069%2F0009855" target="_blank" >EF18_069/0009855: Electrical Engineering Technologies with High-Level of Embedded Intelligence</a><br>

  • Continuities

    P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)<br>I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Others

  • Publication year

    2021

  • Confidentiality

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

Data specific for result type

  • Name of the periodical

    IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS

  • ISSN

    0278-0046

  • e-ISSN

  • Volume of the periodical

    68

  • Issue of the periodical within the volume

    7

  • Country of publishing house

    US - UNITED STATES

  • Number of pages

    11

  • Pages from-to

    5548-5558

  • UT code for WoS article

    000633442800008

  • EID of the result in the Scopus database

    2-s2.0-85085771243