电子科技 ›› 2022, Vol. 35 ›› Issue (11): 29-35.doi: 10.16180/j.cnki.issn1007-7820.2022.11.005

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基于蚁狮优化算法的直流变换器分数阶PIλDμ控制

肖海飞,曾国辉,杜涛,黄勃,刘瑾   

  1. 上海工程技术大学 电子电气工程学院,上海 201620
  • 收稿日期:2021-04-21 出版日期:2022-11-15 发布日期:2022-11-11
  • 作者简介:肖海飞(1996-),男,硕士研究生。研究方向:智能控制。|曾国辉(1975-),男,博士,副教授。研究方向:智能控制、电力电子系统及其控制。
  • 基金资助:
    国家自然科学基金(61603242);国家自然科学基金(61701296)

Fractional Order PIλDμ Control of DC Converter Based on Ant Lion Optimization Algorithm

XIAO Haifei,ZENG Guohui,DU Tao,HUANG Bo,LIU Jin   

  1. School of Electronic and Electrical Engineering,Shanghai University of Engineering Science, Shanghai 201620,China
  • Received:2021-04-21 Online:2022-11-15 Published:2022-11-11
  • Supported by:
    National Natural Science Foundation of China(61603242);National Natural Science Foundation of China(61701296)

摘要:

为提高直流变换器输出电压的响应速度和稳定性,文中提出了一种采用蚁狮优化算法改进双有源桥型直流变换器分数阶PIλDμ控制器的方法。将待优化的参数看作是蚁狮个体所处的空间位置,并以双有源桥型直流变换器误差性能指标ITAE作为目标函数,采用蚁狮优化算法搜索待求分数阶PIλDμ控制器参数的全局最优解,进而实现对输出电压的控制优化。对传统工程经验整定整数阶PID、粒子群算法整定分数阶PIλDμ和蚁狮优化算法整定分数阶PIλDμ的双有源桥直流变换器输出电压性能进行仿真和实验对比。结果表明,文中所提方法可缩短调节时间,提高响应速度,增强系统抗干扰能力,证明了优化方法的有效性和可行性。

关键词: 直流变换器, 分数阶PIλDμ控制, 蚁狮优化算法, 参数整定, 控制优化, ITAE

Abstract:

In order to improve the response speed and stability of the output voltage of the DC converter, a method using ALO algorithm to improve the fractional order PIλDμ controller of the dual active bridge DC converter is proposed in this study. The parameter to be optimized is regarded as the spatial position of the individual ant lion, and the error performance index ITAE of the double active bridge DC converter is used as the objective function. The ALO algorithm is used to search for the global optimal solution of the parameters of the fractional-order PIλDμ controller, and then the control optimization of the output voltage is realized. The output voltage performance of dual active bridge DC converters with traditional engineering experience setting integer-order PID, particle swarm algorithm setting fractional PIλDμ, and ALO algorithm setting fractional-order PIλDμ are simulated and experimentally compared. The results show that the proposed method can shorten the adjustment time, improve the response speed, and enhance the anti-interference ability of the system, which proves the effectiveness and feasibility of the optimization method.

Key words: DC converter, fractional order PIλDμ control, ant lion optimization algorithm, parameter tuning, control optimization, ITAE

中图分类号: 

  • TN86
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