总谐波失真
功率因数
控制理论(社会学)
电压
等效阻抗变换
输出阻抗
整流器(神经网络)
最大功率原理
谐振逆变器
电子工程
逆变器
计算机科学
工程类
电气工程
控制(管理)
机器学习
循环神经网络
人工智能
随机神经网络
人工神经网络
作者
Kyung-Wook Heo,Juil Jin,Jee‐Hoon Jung
标识
DOI:10.1109/tie.2022.3225853
摘要
A boost power factor correction (PFC) circuit has replaced the diode rectifier to improve its poor power factor performance, low efficiency, and output power limitation for conventional induction heating (IH) applications. Accordingly, many studies have been conducted, but they considered only the efficiency of the boost PFC rather than the entire IH system, or their control and design were complicated. In this article, an algorithm tracking the maximum voltage gain of the resonant network is proposed to improve the entire efficiency of the two-stage IH system based on an exact online resonant frequency estimation. It can make the resonant network operate at the maximum voltage gain point which can improve the efficiency of the series-resonant inverter (SRI) included in the IH system with low circulating current, the minimum switching frequency, and zero voltage switching capability. The proposed algorithm also induces the minimum output voltage of the boost PFC, which can reduce its switching losses and total harmonic distortion. The validity of the proposed algorithm is experimentally verified using a 2.4-kW prototype IH system, including the boost PFC and the IH-SRI controlled by a digital signal processor.
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