A PWM Plus Voltage-Second Balance Control for ZVS Four-Switch Flyback Converter

IF 7.2 1区 工程技术 Q1 AUTOMATION & CONTROL SYSTEMS IEEE Transactions on Industrial Electronics Pub Date : 2024-08-19 DOI:10.1109/TIE.2024.3436567
Kuang Wang;Xinbo Ruan;Tao Fu;Fei Liu;Lingxuan Xiao
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Abstract

The four-switch flyback (FSF) converter features low voltage stress of the power switches and zero-voltage-switching (ZVS). In this article, the clamp capacitance is properly designed to avoid multiple meeting points of the leakage inductance current and magnetizing current. Then, a pulse width modulation (PWM) plus voltage-second balance (VSB) control is proposed to turn off the clamp switch to guarantee the negative magnetizing current for realizing ZVS, and the secondary rectifier current sensor is not necessary anymore. The principle of the FSF converter is analyzed, the design considerations are provided, and the implementation of the proposed PWM plus VSB control is given. Finally, a 60-W prototype operating at 500 kHz using GaN devices is built and tested in the lab. The experimental results are provided to verify the effectiveness of the proposed control scheme.
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用于 ZVS 四开关反激式转换器的 PWM 加压秒平衡控制装置
四开关反激变换器具有功率开关电压应力小、零电压开关的特点。本文对钳位电容进行了合理的设计,避免了漏感电流和磁化电流的多个交汇点。然后,提出了一种脉宽调制(PWM)加电压秒平衡(VSB)控制,关闭钳位开关以保证负磁化电流,从而实现ZVS,不再需要二次整流电流传感器。分析了FSF变换器的工作原理,提出了设计注意事项,并给出了PWM + VSB控制的实现方法。最后,使用GaN器件构建了一个工作在500 kHz的60 w原型,并在实验室中进行了测试。实验结果验证了所提控制方案的有效性。
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来源期刊
IEEE Transactions on Industrial Electronics
IEEE Transactions on Industrial Electronics 工程技术-工程:电子与电气
CiteScore
16.80
自引率
9.10%
发文量
1396
审稿时长
6.3 months
期刊介绍: Journal Name: IEEE Transactions on Industrial Electronics Publication Frequency: Monthly Scope: The scope of IEEE Transactions on Industrial Electronics encompasses the following areas: Applications of electronics, controls, and communications in industrial and manufacturing systems and processes. Power electronics and drive control techniques. System control and signal processing. Fault detection and diagnosis. Power systems. Instrumentation, measurement, and testing. Modeling and simulation. Motion control. Robotics. Sensors and actuators. Implementation of neural networks, fuzzy logic, and artificial intelligence in industrial systems. Factory automation. Communication and computer networks.
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