太赫兹科学与电子信息学报2025，Vol.23Issue(4)：393-402,10.DOI:10.11805/TKYDA2024533
基于改进PSO算法的高增益DC/DC变换器小信号模型辨识
Small signal model identification for high step-up DC/DC converter with improved PSO algorithm
摘要
Abstract
High-gain DC/DC converters have a promising application prospect in new energy generation and DC microgrids,and good dynamic characteristics are the foundation of their applications.Compared with traditional switching converters,high-gain converters face challenges such as high computational complexity and high model order in modeling.A new modeling method is proposed for high-gain converters based on system identification.It analyzes the working principle of the three-winding Boost‒Forward converter and establishes a small-signal model of the converter using the state-space method.The correctness of the established model is verified through simulation.The sources of modeling errors in the state-space method are analyzed.The small-signal model of the converter is initially extracted using the least squares method,with a system model accuracy of 91.43%.Subsequently,an improved Particle Swarm Optimization(PSO)algorithm is employed to accurately extract the small-signal model,achieving a system model identification accuracy of 94.62%.Numerical experimental results demonstrate the correctness of the proposed identification method.The results have high reference value for the modeling and control loop design of complex converters.关键词
高增益DC/DC变换器/频域辨识/最小二乘法/改进粒子群算法Key words
high step-up DC/DC converter/frequency domain identification/least squares method/improved particle swarm optimization algorithm分类
信息技术与安全科学引用本文复制引用
陈佳,郭玉祥,刘红霞,王佳豪,宋久旭..基于改进PSO算法的高增益DC/DC变换器小信号模型辨识[J].太赫兹科学与电子信息学报,2025,23(4):393-402,10.基金项目
陕西省重点研发计划资助项目(2022GY‒135) （2022GY‒135）
