EKF based rotor and stator resistance estimations for direct torque control of induction motors

Küçük Resim Yok

Tarih

2017

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Cilt Başlığı

Yayıncı

Institute of Electrical and Electronics Engineers Inc.

Erişim Hakkı

info:eu-repo/semantics/closedAccess

Özet

This study presents the direct torque controlled induction motor (IM) drive utilizing a novel extended Kalman filter (EKF) that simultaneously estimates stator stationary axis components of stator currents and stator fluxes in addition to rotor and stator resistances with the assumption of available stator voltages/currents and rotor speed. Thus, it is desired to show that the on-line estimations of rotor and stator resistances are possible by using a single EKF algorithm in the case with speed-sensor. Performances of the proposed EKF are tested under challenging scenarios generated in simulations. The obtained results confirm very satisfying performances of the introduced EKF algorithm and thus the IM drive. © 2017 IEEE.

Açıklama

The Institute of Electrical Engineers of Japan; The Korean Institution of Power Electronics
2nd International Conference on Optimization of Electrical and Electronic Equipment, OPTIM 2017 and Intl Aegean Conference on Electrical Machines and Power Electronics, ACEMP 2017 -- 25 May 2017 through 27 May 2017 -- Brasov -- 129145

Anahtar Kelimeler

Electric machinery, Electronic equipment, Induction motors, Kalman filters, Optimization, Oscillators (electronic), Power electronics, Stators, Torque control, Direct torque, Direct torque control, On-line estimation, Rotor and stators, Rotor speed, Speed sensors, Stator currents, Stator voltages, Extended Kalman filters

Kaynak

Proceedings - 2017 International Conference on Optimization of Electrical and Electronic Equipment, OPTIM 2017 and 2017 Intl Aegean Conference on Electrical Machines and Power Electronics, ACEMP 2017

WoS Q Değeri

Scopus Q Değeri

N/A

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