Simulation and Comparison of a Loss Minimization Algorithm with Conventional Efficiency Improvement Methods for Field-Oriented Control of an Induction Machine
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26220%2F23%3APU148842" target="_blank" >RIV/00216305:26220/23:PU148842 - isvavai.cz</a>
Result on the web
<a href="https://ieeexplore-ieee-org.ezproxy.lib.vutbr.cz/document/10194662" target="_blank" >https://ieeexplore-ieee-org.ezproxy.lib.vutbr.cz/document/10194662</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1109/EEEIC/ICPSEurope57605.2023.10194662" target="_blank" >10.1109/EEEIC/ICPSEurope57605.2023.10194662</a>
Alternative languages
Result language
angličtina
Original language name
Simulation and Comparison of a Loss Minimization Algorithm with Conventional Efficiency Improvement Methods for Field-Oriented Control of an Induction Machine
Original language description
This paper presents a comparison of commonly used induction machine control methods for loss minimization (maximum torque per ampere, maximum torque per ampere with iron loss consideration and search algorithm) with the presented loss minimization algorithm. The efficiency is compared by simulation in Matlab/Simulink environment on an induction machine model with real parameters for different speed and torque. The results show that the proposed loss minimization algorithm achieves very good efficiency over a wide speed and torque range compared to the other methods.
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
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Continuities
S - Specificky vyzkum na vysokych skolach
Others
Publication year
2023
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
2023 IEEE International Conference on Environment and Electrical Engineering and 2023 IEEE Industrial and Commercial Power Systems Europe (EEEIC / I&CPS Europe)
ISBN
979-8-3503-4742-5
ISSN
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e-ISSN
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Number of pages
6
Pages from-to
1434-1439
Publisher name
University Carlos III of Madrid, Spain
Place of publication
Madrid, Spain
Event location
Madrid
Event date
Jun 6, 2023
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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