吉林大学学报(信息科学版) ›› 2026, Vol. 44 ›› Issue (1): 24-35.

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基于改进灰狼算法的 DC-DC 分数阶移相全桥变换器

曹 雪1 , 罗继江1 , 李泽洋2 , 白丽丽3   

  1. 1. 东北石油大学 电气信息工程学院, 黑龙江 大庆 163318; 2. 哈尔滨理工大学 威海校区, 威海 264200; 3. 上海电子信息职业技术学院 机械与能源工程学院, 上海 201411) 摘要: 为改善移相全桥(PSFB: Phase-Shifting Full Bridge
  • 收稿日期:2024-11-01 出版日期:2026-01-31 发布日期:2026-02-02
  • 作者简介:曹雪(1984— ), 女, 黑龙江大庆人, 东北石油大学讲师, 硕士生导师, 主要从事电力电子与电力传动研究, ( Tel)86- 18504591551(E-mail)179834559@ qq. com
  • 基金资助:
    黑龙江省自然科学基金资助项目(LH2022E024) 

Full-Bridge Converter of DC-DC Fractional Phase-Shifting Based on Improved Grey Wolf Algorithm

CAO Xue 1 , LUO Jijiang 1 , LI Zeyang 2 , BAI Lili 3   

  1. 1. School of Electrical and Information Engineering, Northeast Petroleum University, Daqing 163318, China; 2. Weihai Campus, Harbin University of Science and Technology, Weihai 264200, China; 3. School of Mechanical and Energy Engineering, Shanghai Vocational College of Electronic Information, Shanghai 201411, China
  • Received:2024-11-01 Online:2026-01-31 Published:2026-02-02

摘要: 为改善移相全桥(PSFB: Phase-Shifting Full Bridge)变换器的控制方案得到更好的控制指标, 提出了基于 改进灰狼算法( IGWO: Improved Grey Wolf Algorithm) 优化的模糊比例积分微分( PID: Proportional-Integral- Derivative controll)控制方法。 PSFB 变换器电路中的分抗元件具有非整数阶特性, 利用分数阶微积分理论和状 态空间平均法, 对分数阶移相全桥变换器进行建模与优化控制分析。 应用自适应惯性权重和欧氏距离法优化 GWO(Grey Wolf Algorithm)的全局特性和收敛性, 计算模糊控制器的量化因子优化控制效果。 对 PSFB 变换器 使用 IGWO 优化模糊 PID 控制方案与传统的两种方案进行对比仿真研究, 并设计了一台 50 W 的样机验证控制 策略的有效性。 仿真结果表明, IGWO 优化的模糊 PID 控制相较于传统的两种 PID 控制方式在节时间、 超调 量、 稳态误差分别下降 98. 18% 、99. 63% 、44. 44% 和 66. 67% 、33. 33% 、89. 13% 。 基于 TMS320F28034 硬件 IGWO 优化的模糊比例积分(PI: Proportional-Integral)控制仿真验证的实验结果, 相对于模糊 PID 具有更优的 控制精度与收敛速度更强的抗干扰能力。

关键词: 灰狼优化算法, 分数阶移相全桥变换器, 模糊控制, 欧氏距离法

Abstract: In order to improve the control scheme of PSFB ( Phase-Shifting Full Bridge) converter and obtain better control indicators, a fuzzy PID( Proportional Integral Derivative) control method is proposed based on IGWO ( Improved Grey Wolf Algorithm) optimization. The fractional impedance components in the PSFB converter circuit have non integer order characteristics. Using fractional calculus theory and state space averaging method, the fractional order phase-shifting full bridge converter is modeled and optimized for control analysis. Adaptive inertia weight and Euclidean distance method are used to optimize the global characteristics and convergence of GWO, and then the quantization factor of the fuzzy controller calculated to optimize the control effect. The IGWO optimized fuzzy PID control scheme is used in PSFB converters to compare with two traditional schemes, and a 50 W prototype is designed to verify the effectiveness of the control strategy. The simulation results show that the fuzzy PID control optimized by IGWO reduces the time savings, overshoot, and steady-state error 98. 18% , 99. 63% and 44. 44% , and 66. 67% , 33. 33% , and 89. 13% , respectively, compared to the traditional two PID control methods. The experimental results of fuzzy PI ( Proportional Integral ) control simulation verification based on hardware IGWO optimization of TMS320F28034 show that it has better control accuracy and stronger anti-interference ability compared to fuzzy PID.

Key words: grey wolf optimization algorithm, fractional phase-shifting full-bridge converter, fuzzy contro, euclidean distance method

中图分类号: 

  • TP14