Envelope Impedance Modeling of Line Frequency Rectifiers

IF 7.2 1区 工程技术 Q1 AUTOMATION & CONTROL SYSTEMS IEEE Transactions on Industrial Electronics Pub Date : 2025-01-17 DOI:10.1109/TIE.2024.3525111
Eric A. Ponce;Steven B. Leeb
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Abstract

This article examines a powerful way to analyze the interactions between ac-side and dc-side impedances interfaced by a rectifier: envelope impedance. Envelope impedance has allowed for the application of traditional stability analysis techniques to industrially-relevant power electronic systems, such as power-factor-corrected constant-power-loads, where complex nonlinear dynamics prevent the use of other common methods like small-signal approximations. Questions persist regarding when envelope impedance should be used for stability analysis as opposed to traditional single-frequency perturbation methods. This article provides a comprehensive analytical formula for mapping the dc-side impedance of a rectified load to the ac-side input envelope impedance of the rectifier. This formula is validated against the predictions of time-domain simulations and experimental measurements. A practical and measurable definition of envelope impedance and justification for its use over traditional single-frequency small-signal approaches in stability analysis are provided.
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线频整流器的包络阻抗建模
本文探讨了一种分析由整流器连接的交流侧和直流侧阻抗之间相互作用的有效方法:包络阻抗。包络阻抗允许将传统的稳定性分析技术应用于工业相关的电力电子系统,例如功率因数校正的恒功率负载,其中复杂的非线性动力学阻止了其他常用方法(如小信号近似)的使用。与传统的单频摄动方法相反,包络阻抗何时用于稳定性分析的问题仍然存在。本文提供了一个综合的解析公式,用于将整流负载的直流侧阻抗映射到整流器的交流侧输入包络阻抗。根据时域模拟和实验测量的预测,验证了该公式的正确性。给出了包络阻抗的一个实用的、可测量的定义,以及在稳定性分析中使用包络阻抗优于传统单频小信号方法的理由。
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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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