Please use this identifier to cite or link to this item: doi:10.22028/D291-32991
Title: Improvement of Position Estimation of PMSMs Using an Iterative Vector Decoupling Algorithm
Author(s): Fabbri, Stefano
Schuhmacher, Klaus
Nienhaus, Matthias
Grasso, Emanuele
Language: English
Title: Energies
Volume: 14
Issue: 1
Publisher/Platform: MDPI
Year of Publication: 2021
Free key words: AC machines
sensorless control
sensorless drive
synchronous machines
DDC notations: 620 Engineering and machine engineering
621.3 Electrical engineering, electronics
Publikation type: Journal Article
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.
DOI of the first publication: 10.3390/en14010245
Link to this record: urn:nbn:de:bsz:291--ds-329914
ISSN: 1996-1073
Date of registration: 29-Jan-2021
Faculty: NT - Naturwissenschaftlich- Technische Fakultät
Department: NT - Systems Engineering
Professorship: NT - Prof. Dr. Matthias Nienhaus
Collections:SciDok - Der Wissenschaftsserver der Universität des Saarlandes

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