ePrints@IIScePrints@IISc Home | About | Browse | Latest Additions | Advanced Search | Contact | Help

Small Signal Audio Susceptibility Model for Series Resonant Converter

Joshi, Subhash T G and John, Vinod (2017) Small Signal Audio Susceptibility Model for Series Resonant Converter. In: 2016 IEEE INTERNATIONAL CONFERENCE ON POWER ELECTRONICS, DRIVES AND ENERGY SYSTEMS (PEDES) , DEC 14-17, 2016, Trivandrum, INDIA.

[img] PDF
IEEE_Int_Con_Pow_Ele_Dri_Ene_Sys_2017.pdf - Published Version
Restricted to Registered users only

Download (1MB) | Request a copy
Official URL: http://doi.org/10.1109/PEDES.2016.7914463


Applications that demand stringent conditions on output dc voltage ripple require models that can accurately predict the magnitude of ripple at the output voltage. The paper analyses the impact of dc input ripple on the output ripple for Series Resonant Converter (SRC) using discrete domain sampled data modelling method. The paper presents a novel discrete state space and small signal model for SRC. This small signal model is then simplified using practical assumptions. Analysis of the model indicates that a resonant peak can occur in the audio susceptibility transfer function for certain range of SRC circuit parameters. Small signal transfer function between input and output is analytically derived and validated with simulation by comparing audio susceptibility gain response plot and the resonant frequency. The paper also proposes a SRC parameter design region where the audio susceptibility gain of SRC to any input ripple frequency is less than unity. This can aid the selection of resonant tank parameters L-gamma and C-gamma of the SRC to ensure low output ripple.

Item Type: Conference Proceedings
Publisher: IEEE, 345 E 47TH ST, NEW YORK, NY 10017 USA
Additional Information: Copy right for this article belongs to the IEEE International Conference on Power Electronics, Drives and Energy Systems (PEDES), Trivandrum, INDIA, DEC 14-17, 2016
Department/Centre: Division of Electrical Sciences > Electrical Engineering
Date Deposited: 23 Sep 2017 04:57
Last Modified: 23 Sep 2017 04:57
URI: http://eprints.iisc.ac.in/id/eprint/57893

Actions (login required)

View Item View Item