Detail publikačního výsledku

Synchronous Reluctance Motor Parameter and State Estimation Using Extended Kalman Filter and Current Derivative Measurement

MYNÁŘ, Z.; VÁCLAVEK, P.; BLAHA, P.

Originální název

Synchronous Reluctance Motor Parameter and State Estimation Using Extended Kalman Filter and Current Derivative Measurement

Anglický název

Synchronous Reluctance Motor Parameter and State Estimation Using Extended Kalman Filter and Current Derivative Measurement

Druh

Článek WoS

Originální abstrakt

The synchronous reluctance motor is becoming a very attractive alternative to the AC induction machine. This is due to the lack of rare-earth metals in their construction and a higher efficiency, which was brought about by recent progress in rotor design. However, in order to achieve an efficient and low-cost operation of the synchronous reluctance motor drive, an adaptive sensorless algorithm should be utilized to cope with machine non-linearities. This paper describes an adaptive observer, which can provide an estimation of rotor position and speed, as well as core loss and inductance parameters. A modified PWM switching scheme and a current derivative measurement method are proposed, together with an extended Kalman Filter design. Experimental results are shown to demonstrate method performance and feasibility.

Anglický abstrakt

The synchronous reluctance motor is becoming a very attractive alternative to the AC induction machine. This is due to the lack of rare-earth metals in their construction and a higher efficiency, which was brought about by recent progress in rotor design. However, in order to achieve an efficient and low-cost operation of the synchronous reluctance motor drive, an adaptive sensorless algorithm should be utilized to cope with machine non-linearities. This paper describes an adaptive observer, which can provide an estimation of rotor position and speed, as well as core loss and inductance parameters. A modified PWM switching scheme and a current derivative measurement method are proposed, together with an extended Kalman Filter design. Experimental results are shown to demonstrate method performance and feasibility.

Klíčová slova

current derivative, extended Kalman filter, EKF, online adaptive observer, PWM excitation, sensorless control, synchronous reluctance motor, SynRM

Klíčová slova v angličtině

current derivative, extended Kalman filter, EKF, online adaptive observer, PWM excitation, sensorless control, synchronous reluctance motor, SynRM

Autoři

MYNÁŘ, Z.; VÁCLAVEK, P.; BLAHA, P.

Rok RIV

2021

Vydáno

01.03.2021

Nakladatel

IEEE

ISSN

0278-0046

Periodikum

IEEE Transactions on Industrial Electronics

Svazek

68

Číslo

3

Stát

Spojené státy americké

Strany od

1972

Strany do

1981

Strany počet

9

URL

https://ieeexplore.ieee.org/document/9011744

Plný text v Digitální knihovně

http://hdl.handle.net/11012/196694

BibTex

@article{BUT161674,
  author="Zbyněk {Mynář} and Pavel {Václavek} and Petr {Blaha}",
  title="Synchronous Reluctance Motor Parameter and State Estimation Using Extended Kalman Filter and Current Derivative Measurement",
  journal="IEEE Transactions on Industrial Electronics",
  year="2021",
  volume="68",
  number="3",
  pages="1972--1981",
  doi="10.1109/TIE.2020.2973897",
  issn="0278-0046",
  url="https://ieeexplore.ieee.org/document/9011744"
}

Dokumenty

09011744
161674_SynRM_merge