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Validation of FEM-Based Parameter Estimation for Variable Phase-Pole Induction Machines
Addis Ababa Institute of Technology, Addis Ababa University, Ethiopia.ORCID iD: 0000-0003-0904-6091
KTH, School of Electrical Engineering and Computer Science (EECS), Electrical Engineering, Electric Power and Energy Systems.ORCID iD: 0000-0001-6042-2975
KTH, School of Electrical Engineering and Computer Science (EECS), Electrical Engineering, Electric Power and Energy Systems.ORCID iD: 0000-0001-6831-3474
Addis Ababa Institute of Technology, Addis Ababa University, Ethiopia.
2023 (English)In: IEEE transactions on energy conversion, ISSN 0885-8969, E-ISSN 1558-0059, Vol. 38, no 4, p. 2310-2317Article in journal (Refereed) Published
Abstract [en]

In multiphase electric machines, high-performance control strategies require suitable electrical parameter estimation. This aspect is particularly true for the class of multiphase machines known as variable phase-pole induction machines. This work analyzes, calculates, and experimentally validates different parameter estimation methods for a wound independently-controlled stator coil induction machine, which can dynamically change the phase-pole configuration during real-time operation. The parameter estimation methods are a conventional finite-element analysis-based stator impedance calculation and an implementation of the harmonic plane decomposition theory. Experimental verification illustrates the proposed estimation technique in different machine configurations. Comparing the two analyzed methods, the estimation of all machine parameters based on the harmonic plane decomposition theory well agrees with the practical results. The results indicate that using the proposed method as the initial parameter estimate in a commissioning process for a variable phase-pole drive is possible and beneficial for the reduced computing time.

Place, publisher, year, edition, pages
Institute of Electrical and Electronics Engineers (IEEE) , 2023. Vol. 38, no 4, p. 2310-2317
Keywords [en]
Parameter estimation, multiphase electric machine, variable phase-pole induction machine
National Category
Other Electrical Engineering, Electronic Engineering, Information Engineering
Research subject
Electrical Engineering
Identifiers
URN: urn:nbn:se:kth:diva-327894DOI: 10.1109/tec.2023.3272950ISI: 001142609200051Scopus ID: 2-s2.0-85159814513OAI: oai:DiVA.org:kth-327894DiVA, id: diva2:1761464
Note

QC 20240212

Available from: 2023-06-01 Created: 2023-06-01 Last updated: 2024-02-12Bibliographically approved

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Falk Olson, GustafPeretti, Luca

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