文献类型：期刊文献

中文题名：混合调制LLC谐振变换器的效率优化控制策略

英文题名：Efficiency-optimized control strategy for hybrid-modulated LLC resonant converters

作者：常雨芳[1];张振[1];蒋煊焱[1];黄文聪[1];严怀成[2]

机构：[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

年份：2026

卷号：54

期号：1

起止页码：50

中文期刊名：电力系统保护与控制

外文期刊名：Power System Protection and Control

收录：;EI(收录号：20260319935819);北大核心:【北大核心2023】；

基金：国家自然科学基金项目资助(62473133)。

语种：中文

中文关键词：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

外文关键词：LLC resonant converter;hybrid modulation;efficiency optimization;improved active disturbance rejection control;mountain gazelle optimization algorithm

摘要：针对LLC谐振变换器宽范围运行与高效率难以兼顾,以及采用传统控制器进行环路设计时动态性能不佳、抗扰性能较差的问题,提出了一种混合调制LLC谐振变换器的效率优化控制策略。首先,分析变换器在变频控制和移相控制下的增益与软开关特性,设计了混合调制的控制方式。其次,提出了一种基于低通滤波器的改进自抗扰控制器,降低了扩张状态观测器的测量噪声,提高了系统的抗扰性能。然后,对变换器各部分的损耗进行分析,构建了效率优化模型,提出了一种基于山瞪羚算法的效率优化方法,实现了混合调制的效率最大化。通过对最优调制参数进行曲线拟合,降低了设计控制环路的复杂度。最后,搭建了实验平台进行理论验证,实验结果验证了所提效率优化方法和控制策略的有效性和可行性。
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.