Comparison and Simulation of Two Loss Minimization Algorithms for Field-oriented Control of Induction Motor

Kód výsledku v 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>

Výsledek na webu

<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>

Jazyk výsledku

angličtina

Název v původním jazyce

Comparison and Simulation of Two Loss Minimization Algorithms for Field-oriented Control of Induction Motor

Popis výsledku v původním jazyce

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.

Název v anglickém jazyce

Comparison and Simulation of Two Loss Minimization Algorithms for Field-oriented Control of Induction Motor

Popis výsledku anglicky

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.

Druh

D - Stať ve sborníku

CEP obor

—

OECD FORD obor

20201 - Electrical and electronic engineering

Projekt

—

Návaznosti

S - Specificky vyzkum na vysokych skolach

Rok uplatnění

2022

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název statě ve sborníku

2022 IEEE 20th International Power Electronics and Motion Control Conference (PEMC)

ISBN

978-1-6654-9681-0

ISSN

—

e-ISSN

—

Počet stran výsledku

7

Strana od-do

216-222

Název nakladatele

Transilvania University of Brasov, Romania

Místo vydání

Brasov, Romania

Místo konání akce

Brašov

Datum konání akce

25. 9. 2022

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

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