Detail publikace

Simulation and Comparison of a Loss Minimization Algorithm with Conventional Efficiency Improvement Methods for Field-Oriented Control of an Induction Machine

LAŽEK, T. PAZDERA, I. TOMAN, M.

Originální název

Simulation and Comparison of a Loss Minimization Algorithm with Conventional Efficiency Improvement Methods for Field-Oriented Control of an Induction Machine

Typ

článek ve sborníku ve WoS nebo Scopus

Jazyk

angličtina

Originální abstrakt

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.

Klíčová slova

energy efficiency, induction motor, iron losses, loss minimization, maximum torque per ampere, search controller

Autoři

LAŽEK, T.; PAZDERA, I.; TOMAN, M.

Vydáno

3. 8. 2023

Nakladatel

University Carlos III of Madrid, Spain

Místo

Madrid, Spain

ISBN

979-8-3503-4742-5

Kniha

2023 IEEE International Conference on Environment and Electrical Engineering and 2023 IEEE Industrial and Commercial Power Systems Europe (EEEIC / I&CPS Europe)

Strany od

1434

Strany do

1439

Strany počet

6

URL

https://ieeexplore-ieee-org.ezproxy.lib.vutbr.cz/document/10194662

BibTex

@inproceedings{BUT184424,
  author="Tomáš {Lažek} and Ivo {Pazdera} and Marek {Toman}",
  title="Simulation and Comparison of a Loss Minimization Algorithm with Conventional Efficiency Improvement Methods for Field-Oriented Control of an Induction Machine",
  booktitle="2023 IEEE International Conference on Environment and Electrical Engineering and 2023 IEEE Industrial and Commercial Power Systems Europe (EEEIC / I&CPS Europe)",
  year="2023",
  pages="1434--1439",
  publisher="University Carlos III of Madrid, Spain",
  address="Madrid, Spain",
  doi="10.1109/EEEIC/ICPSEurope57605.2023.10194662",
  isbn="979-8-3503-4742-5",
  url="https://ieeexplore-ieee-org.ezproxy.lib.vutbr.cz/document/10194662"
}