基于改进鲸鱼算法优化模糊控制的开关电源
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1.江南大学物联网工程学院 无锡 214122; 2.北京邮电大学网络与交换技术全国重点实验室 北京 100876

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TP273.2

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网络与交换技术全国重点实验室(北京邮电大学)开放课题项目(SKLNST-2023-1-13)资助


Optimization of fuzzy control for switching power supply based on improved whale algorithm
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1.School of Internet of Things Engineering, Jiangnan University,Wuxi 214122, China; 2.State key Laboratory of Networking and Switching Technology, Beijing University of Posts and Telecommunications,Beijing 100876, China

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    摘要:

    针对反激式开关电源的控制策略问题,传统的模糊PID控制下的电源输出稳定性低,同时出现负载突变时的控制效果较差。利用鲸鱼优化算法对模糊PID控制系统进行优化,并且使用Tent映射对鲸鱼算法中初始种群进行混沌化,通过混沌鲸鱼优化算法对模糊PID控制系统中的论域进行优化,使得该控制系统下的反激式开关电源输出稳定度和抗干扰能力得到提升。基于Matlab软件完成反激式开关电源建模进行仿真研究。仿真结果表明,CWOA-FPID下的反激式开关电源的稳定性优于鲸鱼算法和粒子群算法优化下的控制器,当负载从10 Ω变到5 Ω时,本文下的控制策略相比较其它两个算法在电压恢复时间和电压输出突变都有显著优势。验证了改进鲸鱼算法优化的模糊PID控制器能够更好的满足反激式开关电源的控制要求。

    Abstract:

    Aiming at the control strategy of flyback switching power supply,the traditional fuzzy PID control algorithm is difficult to achieve good control effect. The whale optimization algorithm is used to optimize the fuzzy PID control system, the initial population in the whale algorithm is chaotic by Tent mapping, and the discussion domain in the fuzzy PID control system is optimized by chaotic whale optimization algorithm. The output stability and anti-interference ability of flyback switching power supply under this control system are improved. Based on Matlab software, modeling of flyback switching power supply is completed for simulation research. The simulation results show that the stability of flyback switching power supply under CWOA-FPID is better than that under WOA and particle swarm optimization. When the load changes from 10 Ω to 5 Ω, the control strategy proposed in this paper has significant advantages in voltage recovery time and voltage output mutation compared with the other two algorithms. It is proved that the fuzzy PID controller optimized by the improved whale algorithm can better meet the control requirements of flyback switching power supply.

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张家刘,李正权.基于改进鲸鱼算法优化模糊控制的开关电源[J].电子测量技术,2024,47(1):87-92

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  • 在线发布日期: 2024-04-24
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