Detail publikace

MRAS identification of permanent magnet synchronous motor parameters

Originální název

MRAS identification of permanent magnet synchronous motor parameters

Anglický název

MRAS identification of permanent magnet synchronous motor parameters

Jazyk

en

Originální abstrakt

This article deals with the identification of synchronous motor parameters with permanent magnets using the model-reference adaptive system (MRAS). This method can effectively identify two parameters. These parameters are the stator resistance and the BEMF, under certain conditions as well as the direct inductance. MRAS method is based on two different models. One of these is in our case a real motor and the other is a simulated model based on the identified parameter. This identification was verified in simulations and then applied to a real motor.

Anglický abstrakt

This article deals with the identification of synchronous motor parameters with permanent magnets using the model-reference adaptive system (MRAS). This method can effectively identify two parameters. These parameters are the stator resistance and the BEMF, under certain conditions as well as the direct inductance. MRAS method is based on two different models. One of these is in our case a real motor and the other is a simulated model based on the identified parameter. This identification was verified in simulations and then applied to a real motor.

BibTex


@inproceedings{BUT148341,
  author="Ivo {Veselý} and Zdeněk {Bradáč} and Libor {Veselý}",
  title="MRAS identification of permanent magnet synchronous motor parameters",
  annote="This article deals with the identification of synchronous motor parameters with permanent magnets using the model-reference adaptive system (MRAS). This method can effectively identify two parameters. These parameters are the stator resistance and the BEMF, under certain conditions as well as the direct inductance. MRAS method is based on two different models. One of these is in our case a real motor and the other is a simulated model based on the identified parameter. This identification was verified in simulations and then applied to a real motor.",
  booktitle="15th IFAC Conference on Programmable Devices and Embedded Systems - PDeS 2018",
  chapter="148341",
  doi="10.1016/j.ifacol.2018.07.162",
  howpublished="online",
  number="15",
  year="2018",
  month="may",
  pages="1--6",
  type="conference paper"
}