TITLE

Predictive DTC-ISVM for Doubly-Fed Induction Machine System Fed by Indirect Matrix Converter

AUTHOR(S)
Aghasi, Majid; Faraji, Vahid; Behnia, Hamid; Khaburi, Davood Arab; Banadaki, Ali Dehghan
PUB. DATE
April 2012
SOURCE
International Review on Modelling & Simulations;Apr2012, Vol. 5 Issue 2, p854
SOURCE TYPE
Academic Journal
DOC. TYPE
Article
ABSTRACT
This paper presents a novel predictive Direct Torque Control (DTC) based on Indirect Space Vector Modulation (ISVM) technique for Doubly-Fed Induction Machine (DFIM) using Indirect Matrix Converter (IMC), which is characterized by a simple structure, minimal torque ripple and constant switching frequency. In Conventional DTC technique, good transient and steady-state performances were obtained but it presents non constant switching frequency behavior. In this paper, using predictive DTC strategy not only the fixed switching frequency is obtained but also the good tracking behavior with reduced torque and flux ripple for both motoring and generating modes are achieved. The DFIM is connected to the grid by the stator and the rotor is fed by an indirect matrix converter. To improve the motor drive system performance and reduce losses caused by snubber circuits, the rectifier four-step commutation method in rectifier-bridge is used. In the inverter stage, the predictive DTC method is employed. By suitable selecting switching pattern in IMC, the achievement to constant frequency and reduced electromagnetic torque ripple is possible. Despite of increasing complexity, its superior feature make this control system suitable for wide area of applications such as wind power generation. The simulation results of predictive DTC-ISVM system based on IMC confirms its effectiveness and accuracy.
ACCESSION #
78044947

 

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