Comparison of IPMSM parameter estimation methods for motor efficiency
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F49777513%3A23220%2F20%3A43959762" target="_blank" >RIV/49777513:23220/20:43959762 - isvavai.cz</a>
Result on the web
<a href="https://ieeexplore.ieee.org/document/9254465" target="_blank" >https://ieeexplore.ieee.org/document/9254465</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1109/IECON43393.2020.9254465" target="_blank" >10.1109/IECON43393.2020.9254465</a>
Alternative languages
Result language
angličtina
Original language name
Comparison of IPMSM parameter estimation methods for motor efficiency
Original language description
Efficiency of an IPMSM motor is influenced by the operating point (OP) of the machine. The optimal operating point can be found by using either direct search methods or model-based methods. Model-based methods are sensitive to parameter uncertainties of the equivalent circuit of the drive. In this paper, the impact of various parameter estimation methods on the motor efficiency is compared. Studied methods are Recursive Least Squares (RLS), frequency domain identification at standstill, and the flux linkage map method. Results are compared to direct search methods, where the efficiency is evaluated using the power consumption measurement and direct measurement of the torque. Comparison is performed on a grid of various setpoints (currents and speed). The RLS is tested in two versions of linearization of the flux: one using only the inductances, the second estimating also their offset. Each method is able to obtain good results for some OPs and bad results for other OPs. Overall, good performance was obtained for direct search, offline identified parameters and flux linkage map and RLS with flux offset. RLS without the flux offset does not yield consistent results which implies significantly lower efficiency.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
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OECD FORD branch
20201 - Electrical and electronic engineering
Result continuities
Project
<a href="/en/project/EF18_069%2F0009855" target="_blank" >EF18_069/0009855: Electrical Engineering Technologies with High-Level of Embedded Intelligence</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)<br>S - Specificky vyzkum na vysokych skolach<br>I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace
Others
Publication year
2020
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Proceedings : IECON 2020 : 46th Annual Conference of the IEEE Industrial Electronics Society
ISBN
978-1-72815-414-5
ISSN
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e-ISSN
2577-1647
Number of pages
6
Pages from-to
895-900
Publisher name
IEEE
Place of publication
Piscataway
Event location
online, Singapore
Event date
Oct 19, 2020
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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