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Simplified model predictive current control without mechanical sensors for variable-speed wind energy conversion systems

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Abstract
This paper proposes a simplified finite-controlset model predictive current control (FCS-MPCC) without mechanical sensors for permanent-magnet synchronous generators (PMSGs) in variable-speed wind energy conversion systems. The procedure of selecting the best switching vector is optimized by computing the reference voltage vector (VV) directly from the reference current. Subsequently, the
sector where this reference VV is located is determined from its angle. Finally, the cost function is evaluated only for three times to obtain the optimal switching vector. Therefore, the necessity to test all feasible VVs will be avoided, which reduces the calculation burden of the traditional finitecontrol- set model predictive control method. Moreover, an extended Kalman filter, which is a robust state observer, is
proposed to estimate rotor speed, rotor position, and stator inductance of the PMSG. The estimated (filtered) stator currents, instead of the measured currents, are fed back to the prediction model, and therefore, a lower current total harmonic distortion and better noise rejection are realized. Estimation and control performance of the proposed simplified FCS-MPCC method are illustrated by the simulation
results for all operation conditions

Keywords Predictive control · PMSG · Wind turbine systems · EKF · Sensorless control

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Informasi Detail

Judul Seri

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No. Panggil

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Penerbit

: Springer-Verlag Berlin Heidelberg., 2017

Deskripsi Fisik

Electr Eng (2017) 99:367–377

Bahasa

English

ISBN/ISSN

1432-0487

Klasifikasi

NONE

Tipe Isi

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Tipe Media

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Tipe Pembawa

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Edisi

Electronical engineering ; Volume 99, Issue 1, Mar

Subjek

TEKNIK ELEKTRO
ELECTRICAL ENGINEERING

Info Detail Spesifik

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Pernyataan Tanggungjawab

ety

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