Comparison and Simulation of Two Loss Minimization Algorithms for Field-oriented Control of Induction Motor
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26220%2F22%3APU146017" target="_blank" >RIV/00216305:26220/22:PU146017 - isvavai.cz</a>
Result on the web
<a href="https://ieeexplore.ieee.org/document/9962920" target="_blank" >https://ieeexplore.ieee.org/document/9962920</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1109/PEMC51159.2022.9962920" target="_blank" >10.1109/PEMC51159.2022.9962920</a>
Alternative languages
Result language
angličtina
Original language name
Comparison and Simulation of Two Loss Minimization Algorithms for Field-oriented Control of Induction Motor
Original language description
In this paper, a comparison of two loss minimization algorithms for induction motor drives derived for the Gamma network and the inverse Gamma network is performed. The basic principle of the algorithm is to find the optimal flux at which the motor has the lowest power losses at the desired torque and speed. The optimal flux is then given as the desired flux to the flux controller in the d-axis. To validate the algorithms, motor models in a stationary frame were first built with non-constant magnetizing inductance and estimation of iron losses and mechanical losses. The proposed algorithms were verified by simulation in Matlab/Simulink environment with real motor parameters. The simulation results confirmed that both algorithms achieve the same efficiency. In terms of derivation complexity, the inverse Gamma network-derived model is simpler.
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
2022
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
2022 IEEE 20th International Power Electronics and Motion Control Conference (PEMC)
ISBN
978-1-6654-9681-0
ISSN
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e-ISSN
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Number of pages
7
Pages from-to
216-222
Publisher name
Transilvania University of Brasov, Romania
Place of publication
Brasov, Romania
Event location
Brašov
Event date
Sep 25, 2022
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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