All

What are you looking for?

All
Projects
Results
Organizations

Quick search

  • Projects supported by TA ČR
  • Excellent projects
  • Projects with the highest public support
  • Current projects

Smart search

  • That is how I find a specific +word
  • That is how I leave the -word out of the results
  • “That is how I can find the whole phrase”

Comparison of IPMSM parameter estimation methods for motor efficiency

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F49777513%3A23220%2F20%3A43959762" target="_blank" >RIV/49777513:23220/20:43959762 - isvavai.cz</a>

  • Result on the web

    <a href="https://ieeexplore.ieee.org/document/9254465" target="_blank" >https://ieeexplore.ieee.org/document/9254465</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1109/IECON43393.2020.9254465" target="_blank" >10.1109/IECON43393.2020.9254465</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Comparison of IPMSM parameter estimation methods for motor efficiency

  • Original language description

    Efficiency of an IPMSM motor is influenced by the operating point (OP) of the machine. The optimal operating point can be found by using either direct search methods or model-based methods. Model-based methods are sensitive to parameter uncertainties of the equivalent circuit of the drive. In this paper, the impact of various parameter estimation methods on the motor efficiency is compared. Studied methods are Recursive Least Squares (RLS), frequency domain identification at standstill, and the flux linkage map method. Results are compared to direct search methods, where the efficiency is evaluated using the power consumption measurement and direct measurement of the torque. Comparison is performed on a grid of various setpoints (currents and speed). The RLS is tested in two versions of linearization of the flux: one using only the inductances, the second estimating also their offset. Each method is able to obtain good results for some OPs and bad results for other OPs. Overall, good performance was obtained for direct search, offline identified parameters and flux linkage map and RLS with flux offset. RLS without the flux offset does not yield consistent results which implies significantly lower efficiency.

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

  • OECD FORD branch

    20201 - Electrical and electronic engineering

Result continuities

  • Project

    <a href="/en/project/EF18_069%2F0009855" target="_blank" >EF18_069/0009855: Electrical Engineering Technologies with High-Level of Embedded Intelligence</a><br>

  • Continuities

    P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)<br>S - Specificky vyzkum na vysokych skolach<br>I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Others

  • Publication year

    2020

  • Confidentiality

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

Data specific for result type

  • Article name in the collection

    Proceedings : IECON 2020 : 46th Annual Conference of the IEEE Industrial Electronics Society

  • ISBN

    978-1-72815-414-5

  • ISSN

  • e-ISSN

    2577-1647

  • Number of pages

    6

  • Pages from-to

    895-900

  • Publisher name

    IEEE

  • Place of publication

    Piscataway

  • Event location

    online, Singapore

  • Event date

    Oct 19, 2020

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article