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Fuzzy Logic-Based Pulse Density Modulation Scheme for Mitigating Uncertainties in AC–AC Resonant Converter Aided Induction Heating System.

Authors :
Vishnuram, Pradeep
Ramasamy, Sridhar
Source :
Journal of Circuits, Systems & Computers. Feb2019, Vol. 28 Issue 2, pN.PAG-N.PAG. 26p.
Publication Year :
2019

Abstract

Induction heating (IH) applications aided by power electronic control system have become very attractive in the recent past. The power electronics circuits succumb to severe switching loss, lower power density if proper switching methodology is not adhered. A state of uncertainty is indispensable in IH application as the power required by the load varies depending upon the nature of work piece. This uncertain issue makes the selection of the control algorithm and controller very vital. The mundane controllers may not be compatible to combat the uncertainties and leads to exhibit dynamic problems say transients, peak overshoot and poor response. Henceforth, the IH system requires a superlative converter topology and control scheme in order to have reduced switching loss and to improve the system performance there by negating the uncertainties. Here, in this work, a direct AC–AC boost resonant converter fed by pulse density modulation (PDM) is realized in a single stage mode. A fuzzy logic-based PDM control technique improves the efficiency and provides the versatile power control with reduced time domain specifications for dynamic changes in load. The proposed system has been studied using MATLAB/SIMULINK and validated using a hardware prototype employing dsPIC30F4011 microcontroller. The results reveal that efficient control over power can be accomplished by varying the density of the switching pulses, and thereby the efficiency is enhanced even with reduced component count. Also, the single-stage conversion is effective than its two-stage counterpart. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
02181266
Volume :
28
Issue :
2
Database :
Academic Search Index
Journal :
Journal of Circuits, Systems & Computers
Publication Type :
Academic Journal
Accession number :
132939389
Full Text :
https://doi.org/10.1142/S0218126619500300