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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OA

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

中文摘要英文摘要

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.

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.

曹雪;罗继江;李泽洋;白丽丽

东北石油大学电气信息工程学院,黑龙江大庆 163318东北石油大学电气信息工程学院,黑龙江大庆 163318哈尔滨理工大学威海校区,威海 264200上海电子信息职业技术学院机械与能源工程学院,上海 201411

信息技术与安全科学

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

grey wolf optimization algorithmfractional phase-shifting full-bridge converterfuzzy controeuclidean distance method

《吉林大学学报(信息科学版)》 2026 (1)

24-35,12

黑龙江省自然科学基金资助项目(LH2022E024)

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