Analytical Design of Self-Sensing Control for PMSM Using Quasi-Direct Calculation

Research output: Contribution to journalArticleResearchpeer review

Authors

  • Niklas Himker
  • Axel Mertens
View graph of relations

Details

Original languageEnglish
Pages (from-to)149-159
Number of pages11
JournalIEEE Open Journal of Industry Applications
Volume4
Publication statusPublished - 16 May 2023

Abstract

The analytical description and parameterization of a self-sensing control (SSC) for an electrical machine is an important step toward easier commissioning of these systems. In this article, the advantages of high bandwidth position estimation via numerical optimization and the filtering characteristics of a phase-locked loop are combined in the quasi-direct (QD) calculation. The QD calculation uses two parameters for estimation. With the help of the maximum possible acceleration of the drive train, an interdependency between these two parameters is derived. The remaining degree of freedom is used to tune the dynamics of the estimation. Using the transfer function of the estimator, which is derived analytically, the parameters of the speed control are selected, and a specified phase-margin is implemented. With the help of the analytical parameterization, no empirical or numerical tuning needs to be done, which is unique for SSC. All results are experimentally validated.

Keywords

    Analytical parameterization, permanent magnet synchronous machine (PMSM), self-sensing control (SCC)

ASJC Scopus subject areas

Cite this

Analytical Design of Self-Sensing Control for PMSM Using Quasi-Direct Calculation. / Himker, Niklas; Mertens, Axel.
In: IEEE Open Journal of Industry Applications, Vol. 4, 16.05.2023, p. 149-159.

Research output: Contribution to journalArticleResearchpeer review

Himker, N & Mertens, A 2023, 'Analytical Design of Self-Sensing Control for PMSM Using Quasi-Direct Calculation', IEEE Open Journal of Industry Applications, vol. 4, pp. 149-159. https://doi.org/10.1109/OJIA.2023.3276820
Himker, N., & Mertens, A. (2023). Analytical Design of Self-Sensing Control for PMSM Using Quasi-Direct Calculation. IEEE Open Journal of Industry Applications, 4, 149-159. https://doi.org/10.1109/OJIA.2023.3276820
Himker N, Mertens A. Analytical Design of Self-Sensing Control for PMSM Using Quasi-Direct Calculation. IEEE Open Journal of Industry Applications. 2023 May 16;4:149-159. doi: 10.1109/OJIA.2023.3276820
Himker, Niklas ; Mertens, Axel. / Analytical Design of Self-Sensing Control for PMSM Using Quasi-Direct Calculation. In: IEEE Open Journal of Industry Applications. 2023 ; Vol. 4. pp. 149-159.
Download
@article{bfe211dabfc54f3398cc610173929cff,
title = "Analytical Design of Self-Sensing Control for PMSM Using Quasi-Direct Calculation",
abstract = "The analytical description and parameterization of a self-sensing control (SSC) for an electrical machine is an important step toward easier commissioning of these systems. In this article, the advantages of high bandwidth position estimation via numerical optimization and the filtering characteristics of a phase-locked loop are combined in the quasi-direct (QD) calculation. The QD calculation uses two parameters for estimation. With the help of the maximum possible acceleration of the drive train, an interdependency between these two parameters is derived. The remaining degree of freedom is used to tune the dynamics of the estimation. Using the transfer function of the estimator, which is derived analytically, the parameters of the speed control are selected, and a specified phase-margin is implemented. With the help of the analytical parameterization, no empirical or numerical tuning needs to be done, which is unique for SSC. All results are experimentally validated.",
keywords = "Analytical parameterization, permanent magnet synchronous machine (PMSM), self-sensing control (SCC)",
author = "Niklas Himker and Axel Mertens",
note = "Funding Information: This work was supported by the Deutsche Forschungsgemeinschaft (DFG, German Research Foundation) under project 424944120. The publication of this article was funded by the Open Access Fund of the Leibniz Universit t Hannover.",
year = "2023",
month = may,
day = "16",
doi = "10.1109/OJIA.2023.3276820",
language = "English",
volume = "4",
pages = "149--159",

}

Download

TY - JOUR

T1 - Analytical Design of Self-Sensing Control for PMSM Using Quasi-Direct Calculation

AU - Himker, Niklas

AU - Mertens, Axel

N1 - Funding Information: This work was supported by the Deutsche Forschungsgemeinschaft (DFG, German Research Foundation) under project 424944120. The publication of this article was funded by the Open Access Fund of the Leibniz Universit t Hannover.

PY - 2023/5/16

Y1 - 2023/5/16

N2 - The analytical description and parameterization of a self-sensing control (SSC) for an electrical machine is an important step toward easier commissioning of these systems. In this article, the advantages of high bandwidth position estimation via numerical optimization and the filtering characteristics of a phase-locked loop are combined in the quasi-direct (QD) calculation. The QD calculation uses two parameters for estimation. With the help of the maximum possible acceleration of the drive train, an interdependency between these two parameters is derived. The remaining degree of freedom is used to tune the dynamics of the estimation. Using the transfer function of the estimator, which is derived analytically, the parameters of the speed control are selected, and a specified phase-margin is implemented. With the help of the analytical parameterization, no empirical or numerical tuning needs to be done, which is unique for SSC. All results are experimentally validated.

AB - The analytical description and parameterization of a self-sensing control (SSC) for an electrical machine is an important step toward easier commissioning of these systems. In this article, the advantages of high bandwidth position estimation via numerical optimization and the filtering characteristics of a phase-locked loop are combined in the quasi-direct (QD) calculation. The QD calculation uses two parameters for estimation. With the help of the maximum possible acceleration of the drive train, an interdependency between these two parameters is derived. The remaining degree of freedom is used to tune the dynamics of the estimation. Using the transfer function of the estimator, which is derived analytically, the parameters of the speed control are selected, and a specified phase-margin is implemented. With the help of the analytical parameterization, no empirical or numerical tuning needs to be done, which is unique for SSC. All results are experimentally validated.

KW - Analytical parameterization

KW - permanent magnet synchronous machine (PMSM)

KW - self-sensing control (SCC)

UR - http://www.scopus.com/inward/record.url?scp=85164085280&partnerID=8YFLogxK

U2 - 10.1109/OJIA.2023.3276820

DO - 10.1109/OJIA.2023.3276820

M3 - Article

AN - SCOPUS:85164085280

VL - 4

SP - 149

EP - 159

JO - IEEE Open Journal of Industry Applications

JF - IEEE Open Journal of Industry Applications

ER -