Dynamic Performance and Analysis of an Asynchronous Motor Drive with the Interface of Z-Source Isolated Bi-directional DC-DC Converter

This paper proposes a bi-directional dc-dc z-source converter. Z-source dc-dc converter has an impedance network which performs buck-boost operations. In this the input current is continuous and also the voltage stress across the switches is less. It can also boost the input voltage using reduced pa...

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Bibliographic Details
Published in2018 3rd IEEE International Conference on Recent Trends in Electronics, Information & Communication Technology (RTEICT) pp. 1403 - 1408
Main Authors Pakkiraiah, B., Dharani, P., Jaswanth, V., S. Durga Prasad, N. S., Agarwal, Anmol, Ravikiran, K.
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.05.2018
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Summary:This paper proposes a bi-directional dc-dc z-source converter. Z-source dc-dc converter has an impedance network which performs buck-boost operations. In this the input current is continuous and also the voltage stress across the switches is less. It can also boost the input voltage using reduced passive component with better reliability and decreased cost. Compared to the existing dc-dc converter circuits, they reduce in-rush and harmonic current. Therefore this paper aims at a soft switched quasi z-source converter. That the proposed converter has the better voltage profile with most reduction of voltage regulation. H-bridge dc-dc sources are preferably connected to the voltage sources and sometimes current sources. This is used to minimize the current stress as well as to improve the system efficiency. Z-source isolated bi-directional dc-dc converter boosts the dc voltage up to the 600 V, which is used to supply to the inverter. Inverter is being incorporated with space vector modulation technique for its driver circuit control. From this that the inverted output is supplied to the asynchronous motor drive to get the dynamic responses of the drive from its performance parameters like stator phasor current, torque and speed. Respective results are analyzed by using MATLAB software.
DOI:10.1109/RTEICT42901.2018.9012543