一种便携式自适应迟滞DC-DC降压变换器

IF 1.2 4区计算机科学 Q4 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE

Turkish Journal of Electrical Engineering and Computer Sciences Pub Date : 2019-04-01 DOI:10.3906/ELK-1809-45

S. Park, Ju Sang Lee, Sang-Dae Yu

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引用次数: 1

摘要

本文提出了一种根据电压型电路引起的负载电流变化来调整磁滞窗的新技术，以减少电压和电流的波动。此外，采用紧凑的电流传感电路提供精确的传感信号，实现了快速的迟滞窗调节。此外，还提出了零电流检测电路，以消除轻载时的反向电流。结果表明，在负载电流为500 mA时，该技术将电压纹波降低到8.08 mVpp以下，电流纹波降低到93.98 mApp以下。采用0.18 μm CMOS工艺参数进行电路仿真。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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A novel adaptive hysteresis DC-DC buck converter for portable devices

This paper presents a new technique that adjusts the hysteresis window depending on the variations in load current caused by a voltage-mode circuit to reduce the voltage and current ripples. Moreover, a compact current-sensing circuit is used to provide an accurate sensing signal for achieving fast hysteresis window adjustment. In addition, a zero-current detection circuit is also proposed to eliminate the reverse current at light loads. As a result, this technique reduces the voltage ripple below 8.08 mVpp and the current ripple below 93.98 mApp for a load current of 500 mA. Circuit simulation is performed using 0.18 μm CMOS process parameters.

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来源期刊

Turkish Journal of Electrical Engineering and Computer Sciences COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE-ENGINEERING, ELECTRICAL & ELECTRONIC

CiteScore

2.90

自引率

9.10%

发文量

审稿时长

6.9 months

期刊介绍： The Turkish Journal of Electrical Engineering & Computer Sciences is published electronically 6 times a year by the Scientific and Technological Research Council of Turkey (TÜBİTAK) Accepts English-language manuscripts in the areas of power and energy, environmental sustainability and energy efficiency, electronics, industry applications, control systems, information and systems, applied electromagnetics, communications, signal and image processing, tomographic image reconstruction, face recognition, biometrics, speech processing, video processing and analysis, object recognition, classification, feature extraction, parallel and distributed computing, cognitive systems, interaction, robotics, digital libraries and content, personalized healthcare, ICT for mobility, sensors, and artificial intelligence. Contribution is open to researchers of all nationalities.