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A moving least-square approach for current slope estimation in an inverter fed IPMSM using field programmable gateway arrays

  • In this work a method for the estimation of current slopes induced by inverters operating interior permanent magnet synchronous machines is presented. After the derivation of the estimation algorithm, the requirements for a suitable sensor setup in terms of accuracy, dynamic and electromagnetic interference are discussed. The boundary conditions for the estimation algorithm are presented withIn this work a method for the estimation of current slopes induced by inverters operating interior permanent magnet synchronous machines is presented. After the derivation of the estimation algorithm, the requirements for a suitable sensor setup in terms of accuracy, dynamic and electromagnetic interference are discussed. The boundary conditions for the estimation algorithm are presented with respect to application within high power traction systems. The estimation algorithm is implemented on a field programmable gateway array. This moving least-square algorithm offers the advantage that it is not dependent on vectors and therefore not every measured value has to be stored. The summation of all measured values leads to a significant reduction of the required storage units and thus decreases the hardware requirements. The algorithm is designed to be calculated within the dead time of the inverter. Appropriate countermeasures for disturbances and hardware restrictions are implemented. The results are discussed afterwards.show moreshow less

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Author:Jan Philipp Degel, Stefan Hähnlein, Christian KlöfferGND, Martin Doppelbauer
Creating Corporation:IEEE
Place of publication:New York
Year of Publication:2020
Pagenumber:8
ISBN:978-1-7281-9945-0 (Online)
ISBN:978-1-7281-9946-7 (Print on Demand)
Language:English
Tag:AC machines; Current Control; Parameter Estimation; Predictive Models
DDC classes:600 Technik, Medizin, angewandte Wissenschaften / 620 Ingenieurwissenschaften und Maschinenbau
Parent Title (English):Proceedings : 2020 International Conference on Electrical Machines (ICEM)
ISSN:2381-4802
First Page:1033
Last Page:1039
Document Type:Conference Proceeding
Institutes:Bibliografie
Acces Right:Zugriffsbeschränkt
Release Date:2021/01/13
Licence (German):License LogoEs gilt das UrhG
Note:
Konferenz: 2020 International Conference on Electrical Machines (ICEM), 23 - 26 August 2020, Gothenburg, Sweden (Virtual conference)
DOI:https://doi.org/10.1109/ICEM49940.2020.9270920