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MYNÁŘ, Z. VÁCLAVEK, P. BLAHA, P.
Originální název
Synchronous Reluctance Motor Parameter and State Estimation Using Extended Kalman Filter and Current Derivative Measurement
Typ
článek v časopise ve Web of Science, Jimp
Jazyk
angličtina
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.
Klíčová slova
current derivative, extended Kalman filter, EKF, online adaptive observer, PWM excitation, sensorless control, synchronous reluctance motor, SynRM
Autoři
MYNÁŘ, Z.; VÁCLAVEK, P.; BLAHA, P.
Vydáno
1. 3. 2021
Nakladatel
IEEE
ISSN
0278-0046
Periodikum
IEEE Transactions on Industrial Electronics
Ročník
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" }