Improvement of Position Estimation of PMSMs Using an Iterative Vector Decoupling Algorithm

Stefano Fabbri, Klaus Schuhmacher, Matthias Nienhaus and Emanuele Grasso
Additional contact information
Stefano Fabbri: Laboratory of Actuation Technology, Saarland University, 66123 Saarbrücken, Germany
Klaus Schuhmacher: Laboratory of Actuation Technology, Saarland University, 66123 Saarbrücken, Germany
Matthias Nienhaus: Laboratory of Actuation Technology, Saarland University, 66123 Saarbrücken, Germany
Emanuele Grasso: Laboratory of Actuation Technology, Saarland University, 66123 Saarbrücken, Germany

Energies, 2021, vol. 14, issue 1, 1-23

Abstract: This paper presents an improvement of sensorless techniques based on anisotropy for the estimation of the electrical angular position of synchronous machines by means of an iterative algorithm. The presented method reduces the effect of the fourth saliency harmonics on the measured signals avoiding the use of an observer or filter, thus, no additional dynamics are introduced on the system. Instead, a static algorithm based on iterative steps is proposed, minimizing the angular position error. The algorithm is presented and applied using the DFC (Direct Flux Control) technique but it is not limited to this choice. The advantages and limitations of this method are presented within this paper. The proof of the algorithm convergence is given. Simulations and experimental tests are performed in order to prove the effectiveness of the proposed algorithm.

Keywords: AC machines; sensorless control; sensorless drive; synchronous machines (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2021
References: View references in EconPapers View complete reference list from CitEc
Citations:

Downloads: (external link)
https://www.mdpi.com/1996-1073/14/1/245/pdf (application/pdf)
https://www.mdpi.com/1996-1073/14/1/245/ (text/html)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:gam:jeners:v:14:y:2021:i:1:p:245-:d:474976

Access Statistics for this article

Energies is currently edited by Ms. Agatha Cao

More articles in Energies from MDPI
Bibliographic data for series maintained by MDPI Indexing Manager ().