Comparative analysis of control methods with predictive models of six-phase permanent magnet synchronous motor

This article presents a comparison of the performance of the sixphase permanent magnet motor (PMSM) based on two control methods: continuous control set model predictive control (CCSMPC) and a finite control set model predictive control (FCSMPC). The basic concepts and principles of control systems...

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Main Authors: A. A. R. Rahim, S. N. Kladiev, S. Saeidi
Format: Article
Language:English
Published: Omsk State Technical University, Federal State Autonoumos Educational Institution of Higher Education 2020-06-01
Series:Омский научный вестник
Subjects:
Online Access:https://www.omgtu.ru/general_information/media_omgtu/journal_of_omsk_research_journal/files/arhiv/2020/3%20(171)/51-56%20%D0%A0%D0%B0%D1%85%D0%B8%D0%BC%20%D0%90.%20%D0%90.%20%D0%A0.,%20%D0%9A%D0%BB%D0%B0%D0%B4%D0%B8%D0%B5%D0%B2%20%D0%A1.%20%D0%9D.,%20%D0%A1%D0%B0%D0%B8%D0%B4%D0%B8%20%D0%A1..pdf
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author A. A. R. Rahim
S. N. Kladiev
S. Saeidi
author_facet A. A. R. Rahim
S. N. Kladiev
S. Saeidi
author_sort A. A. R. Rahim
collection DOAJ
description This article presents a comparison of the performance of the sixphase permanent magnet motor (PMSM) based on two control methods: continuous control set model predictive control (CCSMPC) and a finite control set model predictive control (FCSMPC). The basic concepts and principles of control systems for synchronous motors with permanent magnets are examined, their behaviors are studied to compare the effectiveness of these methods. The CCS-MPC method is studied on a simulation model of dual three-phase PMSM for the first time, unlike the previously used FCS-MPC control method. The simulation results are presented in the form of graphical dependencies. Analysis of the results shows that when using the CCS-MPC method, the state variables accuracy controlling of the drive is higher, dynamic errors are less, although the speed of the FCS-MPC method is higher.
format Article
id doaj-art-300cbbcbfa524f8b8185f96a1149a7de
institution Kabale University
issn 1813-8225
2541-7541
language English
publishDate 2020-06-01
publisher Omsk State Technical University, Federal State Autonoumos Educational Institution of Higher Education
record_format Article
series Омский научный вестник
spelling doaj-art-300cbbcbfa524f8b8185f96a1149a7de2025-02-02T09:58:04ZengOmsk State Technical University, Federal State Autonoumos Educational Institution of Higher EducationОмский научный вестник1813-82252541-75412020-06-013 (171)515610.25206/1813-8225-2020-171-51-56Comparative analysis of control methods with predictive models of six-phase permanent magnet synchronous motorA. A. R. Rahim0https://orcid.org/0000-0003-2429-3293S. N. Kladiev1https://orcid.org/0000-0001-9432-0176S. Saeidi2Tomsk Polytechnic UniversityTomsk Polytechnic UniversitySOBEK Drives GmbHThis article presents a comparison of the performance of the sixphase permanent magnet motor (PMSM) based on two control methods: continuous control set model predictive control (CCSMPC) and a finite control set model predictive control (FCSMPC). The basic concepts and principles of control systems for synchronous motors with permanent magnets are examined, their behaviors are studied to compare the effectiveness of these methods. The CCS-MPC method is studied on a simulation model of dual three-phase PMSM for the first time, unlike the previously used FCS-MPC control method. The simulation results are presented in the form of graphical dependencies. Analysis of the results shows that when using the CCS-MPC method, the state variables accuracy controlling of the drive is higher, dynamic errors are less, although the speed of the FCS-MPC method is higher.https://www.omgtu.ru/general_information/media_omgtu/journal_of_omsk_research_journal/files/arhiv/2020/3%20(171)/51-56%20%D0%A0%D0%B0%D1%85%D0%B8%D0%BC%20%D0%90.%20%D0%90.%20%D0%A0.,%20%D0%9A%D0%BB%D0%B0%D0%B4%D0%B8%D0%B5%D0%B2%20%D0%A1.%20%D0%9D.,%20%D0%A1%D0%B0%D0%B8%D0%B4%D0%B8%20%D0%A1..pdfmodel predictive controldual three-phase synchronous machinevoltage source invertertransient characteristics
spellingShingle A. A. R. Rahim
S. N. Kladiev
S. Saeidi
Comparative analysis of control methods with predictive models of six-phase permanent magnet synchronous motor
Омский научный вестник
model predictive control
dual three-phase synchronous machine
voltage source inverter
transient characteristics
title Comparative analysis of control methods with predictive models of six-phase permanent magnet synchronous motor
title_full Comparative analysis of control methods with predictive models of six-phase permanent magnet synchronous motor
title_fullStr Comparative analysis of control methods with predictive models of six-phase permanent magnet synchronous motor
title_full_unstemmed Comparative analysis of control methods with predictive models of six-phase permanent magnet synchronous motor
title_short Comparative analysis of control methods with predictive models of six-phase permanent magnet synchronous motor
title_sort comparative analysis of control methods with predictive models of six phase permanent magnet synchronous motor
topic model predictive control
dual three-phase synchronous machine
voltage source inverter
transient characteristics
url https://www.omgtu.ru/general_information/media_omgtu/journal_of_omsk_research_journal/files/arhiv/2020/3%20(171)/51-56%20%D0%A0%D0%B0%D1%85%D0%B8%D0%BC%20%D0%90.%20%D0%90.%20%D0%A0.,%20%D0%9A%D0%BB%D0%B0%D0%B4%D0%B8%D0%B5%D0%B2%20%D0%A1.%20%D0%9D.,%20%D0%A1%D0%B0%D0%B8%D0%B4%D0%B8%20%D0%A1..pdf
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AT ssaeidi comparativeanalysisofcontrolmethodswithpredictivemodelsofsixphasepermanentmagnetsynchronousmotor