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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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Metadaten
Document Type:Conference Proceeding
Conference Type:Konferenzartikel
Zitierlink: https://opus.hs-offenburg.de/4345
Bibliografische Angaben
Title (English):A moving least-square approach for current slope estimation in an inverter fed IPMSM using field programmable gateway arrays
Conference:2020 International Conference on Electrical Machines (ICEM), 23 - 26 August 2020, Gothenburg, Sweden (Virtual conference)
Author:Jan Philipp DegelStaff MemberORCiDGND, Stefan HähnleinStaff MemberORCiD, Christian KlöfferStaff MemberGND, Martin Doppelbauer
Year of Publication:2020
Creating Corporation:IEEE
Place of publication:New York
Page Number:8
First Page:1033
Last Page:1039
Parent Title (English):Proceedings : 2020 International Conference on Electrical Machines (ICEM)
ISBN:978-1-7281-9945-0 (Online)
ISBN:978-1-7281-9946-7 (Print on Demand)
ISSN:2381-4802
DOI:https://doi.org/10.1109/ICEM49940.2020.9270920
Language:English
Inhaltliche Informationen
Institutes:Fakultät Elektrotechnik, Medizintechnik und Informatik (EMI) (ab 04/2019)
Institutes:Bibliografie
DDC classes:600 Technik, Medizin, angewandte Wissenschaften / 620 Ingenieurwissenschaften und Maschinenbau
Tag:AC machines; Current Control; Parameter Estimation; Predictive Models
Formale Angaben
Open Access: Closed Access 
Licence (German):License LogoUrheberrechtlich geschützt