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基于分数阶混沌的反激变换器辐射EMI主动抑制

吴键澄 杨汝 张宇帆 钟振业 刘佐濂

电源学报2024,Vol.22Issue(2):438-444,446-447,9.
电源学报2024,Vol.22Issue(2):438-444,446-447,9.DOI:10.13234/j.issn.2095-2805.2024.2.438

基于分数阶混沌的反激变换器辐射EMI主动抑制

Active Suppression of Radiated EMI in Flyback Converter Based on Fractional-order Chaos

吴键澄 1杨汝 2张宇帆 3钟振业 3刘佐濂4

作者信息

  • 1. 广州大学电子与通信工程学院,广州 510006
  • 2. 广州大学电子与通信工程学院,广州 510006||广州大学机械与电气工程学院,广州 510006
  • 3. 广州大学机械与电气工程学院,广州 510006
  • 4. 广州大学物理与材料科学学院,广州 510006
  • 折叠

摘要

Abstract

The fast on-off switching signal is the main cause of electromagnetic interference(EMI).At present,the re-search on EMI suppression by chaos mainly focuses on the suppression of conducted EMI by integer-order chaos.On this basis,the suppression by fractional-order chaos on radiated EMI and the selection of optimal order are studied in this paper.First,through the analysis of spectrum characteristics of fractional-order Lorenz and Lyapunov exponent spectrum,1.8-order Lorenz signal is selected as the best spread spectrum series.Second,based on the principle of EMI suppression technology with variable switching frequency,Lorenz chaotic spread spectrum PWM signals with fixed fre-quency,integer-order,2.7-order and l.8-order are implemented in an STM32 single chip microcomputer.A near-field radiation experiment was carried out on a 5 W flyback converter,which proved that the l.8-order Lorenz signal had the strongest suppression effect on the near-field magnetic field radiation.Finally,experimental results showed that the pro-totype's overall efficiency was about 2%different when it was under the fractional-order Lorenz Chaos PWM control and constant-frequency PWM control,respectively,which verified the superiority of the fractional-order chaotic PWM in radiated EMI suppression performance.

关键词

反激变换器/分数阶混沌/近场辐射/电磁干扰

Key words

Flyback converter/fractional-order chaos/near-field radiation/electromagnetic interference(EMI)

分类

信息技术与安全科学

引用本文复制引用

吴键澄,杨汝,张宇帆,钟振业,刘佐濂..基于分数阶混沌的反激变换器辐射EMI主动抑制[J].电源学报,2024,22(2):438-444,446-447,9.

基金项目

广东省自然科学基金团队资助项目(2017B030312001) (2017B030312001)

广州大学国家级大学生创新训练资助项目(201911078029)This work is supported by Guangdong Natural Science Foun-dation Team Project under the grant 2017B030312001 (201911078029)

Na-tional Innovation Training Program of Guangzhou University under the grant 201911078029 ()

电源学报

OA北大核心

2095-2805

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