Details
Originalsprache | Englisch |
---|---|
Seiten (von - bis) | 149-159 |
Seitenumfang | 11 |
Fachzeitschrift | IEEE Open Journal of Industry Applications |
Jahrgang | 4 |
Publikationsstatus | Veröffentlicht - 16 Mai 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.
ASJC Scopus Sachgebiete
- Ingenieurwesen (insg.)
- Steuerungs- und Systemtechnik
- Ingenieurwesen (insg.)
- Elektrotechnik und Elektronik
- Ingenieurwesen (insg.)
- Wirtschaftsingenieurwesen und Fertigungstechnik
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in: IEEE Open Journal of Industry Applications, Jahrgang 4, 16.05.2023, S. 149-159.
Publikation: Beitrag in Fachzeitschrift › Artikel › Forschung › Peer-Review
}
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 -