Complex-Valued Model Reference Adaptive Systems for Speed Estimation of Induction Motor

Küçük Resim Yok

Tarih

2019

Dergi Başlığı

Dergi ISSN

Cilt Başlığı

Yayıncı

IEEE

Erişim Hakkı

info:eu-repo/semantics/closedAccess

Özet

In this study, two novel complex-valued model reference adaptive systems (MRASs) based on rotor flux and stator current are performed for speed-sensorless control of squirrel cage induction motor (SCIM) and tested under different operating conditions for a wide speed range. Nowadays, the complex-valued methods have become popular and provided significant advantages in some important applications where the signal or system can be defined in the complex domain. The reasons why these MRAS types are selected are that these structures are suitable to be defined in the complex domain, do not require external flux estimator, and are two of the most popular MRAS types. Finally, satisfactory estimation performances for both novel complex-valued MRAS algorithms have been obtained under simulations.

Açıklama

1st Global Power, Energy and Communication Conference (IEEE GPECOM) -- JUN 12-15, 2019 -- Nevsehir, TURKEY

Anahtar Kelimeler

Complex-valued least mean square, Induction motor, Model reference adaptive system, Speed-sensorless control

Kaynak

2019 Ieee 1st Global Power, Energy and Communication Conference (Gpecom2019)

WoS Q Değeri

N/A

Scopus Q Değeri

N/A

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