Detail publikačního výsledku

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

LAŽEK, T.; PAZDERA, I.; TOMAN, M.

Originální název

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

Anglický název

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

Druh

Stať ve sborníku v databázi WoS či Scopus

Originální abstrakt

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.

Anglický abstrakt

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.

Klíčová slova

energy efficiency, field-oriented control, induction motor, iron loss resistance, loss minimization algorithms

Klíčová slova v angličtině

energy efficiency, field-oriented control, induction motor, iron loss resistance, loss minimization algorithms

Autoři

LAŽEK, T.; PAZDERA, I.; TOMAN, M.

Rok RIV

2023

Vydáno

01.12.2022

Nakladatel

Transilvania University of Brasov, Romania

Místo

Brasov, Romania

ISBN

978-1-6654-9681-0

Kniha

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

Strany od

216

Strany do

222

Strany počet

7

URL

https://ieeexplore.ieee.org/document/9962920

BibTex

@inproceedings{BUT179724,
  author="Tomáš {Lažek} and Ivo {Pazdera} and Marek {Toman}",
  title="Comparison and Simulation of Two Loss Minimization Algorithms for Field-oriented Control of Induction Motor",
  booktitle="2022 IEEE 20th International Power Electronics and Motion Control Conference (PEMC)",
  year="2022",
  pages="216--222",
  publisher="Transilvania University of Brasov, Romania",
  address="Brasov, Romania",
  doi="10.1109/PEMC51159.2022.9962920",
  isbn="978-1-6654-9681-0",
  url="https://ieeexplore.ieee.org/document/9962920"
}