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混合调制LLC谐振变换器的效率优化控制策略

常雨芳 张振 蒋煊焱 黄文聪 严怀成

电力系统保护与控制2026,Vol.54Issue(1):50-59,10.
电力系统保护与控制2026,Vol.54Issue(1):50-59,10.DOI:10.19783/j.cnki.pspc.250239

混合调制LLC谐振变换器的效率优化控制策略

Efficiency-optimized control strategy for hybrid-modulated LLC resonant converters

常雨芳 1张振 1蒋煊焱 1黄文聪 1严怀成2

作者信息

  • 1. 太阳能高效利用及储能运行控制湖北省重点实验室(湖北工业大学),湖北 武汉 430068
  • 2. 华东理工大学信息科学与工程学院,上海 200237
  • 折叠

摘要

Abstract

To address the difficulty of simultaneously achieving wide operating range and high efficiency in LLC resonant converters,as well as the poor dynamic performance and weak disturbance rejection associated with conventional controller-based loop design,an efficiency-optimized control strategy for hybrid-modulated LLC resonant converters is proposed.First,the gain and soft-switching characteristics of the converter under frequency and phase-shift control are analyzed,and a hybrid modulation control scheme is designed.Second,an improved self-disturbance rejection controller based on a low-pass filter is proposed to reduce measurement noise in the extended state observer and enhance the system's disturbance rejection capability.Then,the losses of each component of the converter are analyzed to construct an efficiency optimization model,and an efficiency optimization method based on the mountain gazelle optimization algorithm is proposed to achieve efficiency maximization under hybrid modulation.By curve fitting of the optimal modulation parameters,the complexity of control loop design is reduced.Finally,an experimental platform is built to validate the theoretical analysis,and experimental results confirm the effectiveness and feasibility of the proposed efficiency optimization method and control strategy.

关键词

LLC谐振变换器/混合调制/效率优化/改进自抗扰控制/山瞪羚优化算法

Key words

LLC resonant converter/hybrid modulation/efficiency optimization/improved active disturbance rejection control/mountain gazelle optimization algorithm

引用本文复制引用

常雨芳,张振,蒋煊焱,黄文聪,严怀成..混合调制LLC谐振变换器的效率优化控制策略[J].电力系统保护与控制,2026,54(1):50-59,10.

基金项目

This work is supported by the National Natural Science Foundation of China(No.62473133). 国家自然科学基金项目资助(62473133) (No.62473133)

电力系统保护与控制

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