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 hdl:20.500.11880/30499 http://dx.doi.org/10.22028/D291-32991 |
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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File | Description | Size | Format | |
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Improvement of Position Estimation of PMSMs Using an Iterative Vector Decoupling Algorithm.pdf | 13,84 MB | Adobe PDF | View/Open |
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