Implementing Pseudo-Random Control in Boost Converter: An Effective Approach for Mitigating Conducted Electromagnetic Emissions

Q3 Mathematics
Zakaria M'barki, Youssef Mejdoub, Kaoutar Senhaji Rhazi, Khalid Sabhi
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引用次数: 0

Abstract

Currently, pulse width modulation (PWM) is a prevalent technique in the field of DC-DC converter control. Its primary objectives encompass maintaining the regulation of the converter's output voltage and improving the load's performance by mitigating the adverse effects caused by harmonic distortions. Unfortunately, the utilization of PWM is associated with significant levels of residual harmonics, characterized by notable amplitudes and frequencies, which have the potential to induce mechanical vibrations, acoustic disturbances, and electromagnetic interference (EMI).To address this challenge, a method known as pseudo-random modulation (PRM) has been developed. In comparison to traditional PWM, PRM offers ease of implementation and high efficacy in EMI mitigation. PRM achieves this by distributing harmonic power across a broader frequency range, thereby reducing the prominence of high-amplitude harmonics at specific frequencies. Within the context of Spread Spectrum Modulation (SSM), this study extensively explores diverse converter topologies and proposes an innovative hardware implementation using the cost-effective Atmega328p microcontroller. Furthermore, the study scrutinizes the consequences of implementing this randomized control strategy to reduce electromagnetic emissions from a Boost converter, a well-recognized source of significant interference in its operational environment. Ultimately, the aim is to evaluate the effectiveness of these applied methodologies in achieving the maximum dispersion of the power spectrum, thereby enhancing overall electromagnetic compatibility.
在升压变换器中实现伪随机控制:一种减轻传导电磁发射的有效方法
目前,脉宽调制(PWM)是DC-DC变换器控制领域的一种流行技术。其主要目标包括维持变流器输出电压的调节,并通过减轻谐波畸变引起的不利影响来改善负载的性能。不幸的是,PWM的使用与显著的残余谐波水平相关,其特征是显著的幅度和频率,有可能诱发机械振动、声学干扰和电磁干扰(EMI)。为了解决这一挑战,人们开发了一种称为伪随机调制(PRM)的方法。与传统的PWM相比,PRM具有易于实现和高效的EMI抑制功能。PRM通过在更宽的频率范围内分配谐波功率来实现这一点,从而减少了特定频率上高振幅谐波的突出。在扩频调制(SSM)的背景下,本研究广泛探索了各种转换器拓扑结构,并提出了一种使用具有成本效益的Atmega328p微控制器的创新硬件实现。此外,该研究还仔细研究了实施这种随机控制策略的后果,以减少Boost转换器的电磁发射,这是其运行环境中公认的重大干扰源。最终,目的是评估这些应用方法在实现功率谱最大色散方面的有效性,从而增强整体电磁兼容性。
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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来源期刊
Indonesian Journal of Electrical Engineering and Informatics
Indonesian Journal of Electrical Engineering and Informatics Computer Science-Computer Science (miscellaneous)
CiteScore
1.50
自引率
0.00%
发文量
56
期刊介绍: The journal publishes original papers in the field of electrical, computer and informatics engineering which covers, but not limited to, the following scope: Electronics: Electronic Materials, Microelectronic System, Design and Implementation of Application Specific Integrated Circuits (ASIC), VLSI Design, System-on-a-Chip (SoC) and Electronic Instrumentation Using CAD Tools, digital signal & data Processing, , Biomedical Transducers and instrumentation. Electrical: Electrical Engineering Materials, Electric Power Generation, Transmission and Distribution, Power Electronics, Power Quality, Power Economic, FACTS, Renewable Energy, Electric Traction. Telecommunication: Modulation and Signal Processing for Telecommunication, Information Theory and Coding, Antenna and Wave Propagation, Wireless and Mobile Communications, Radio Communication, Communication Electronics and Microwave, Radar Imaging. Control: Optimal, Robust and Adaptive Controls, Non Linear and Stochastic Controls, Modeling and Identification, Robotics, Image Based Control, Hybrid and Switching Control, Process Optimization and Scheduling, Control and Intelligent Systems. Computer and Informatics: Computer Architecture, Parallel and Distributed Computer, Pervasive Computing, Computer Network, Embedded System, Human—Computer Interaction, Virtual/Augmented Reality, Computer Security, Software Engineering (Software: Lifecycle, Management, Engineering Process, Engineering Tools and Methods), Programming (Programming Methodology and Paradigm), Data Engineering (Data and Knowledge level Modeling, Information Management (DB) practices, Knowledge Based Management System, Knowledge Discovery in Data).
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