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基于混合策略麻雀搜索算法优化的DC-DC变换器自抗扰稳压策略

Active disturbance rejection voltage stablization strategy for DC-DC convertor based on hybrid sparrow search algorithm
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摘要 为抑制城轨列车频繁启停引起的牵引网电压剧烈波动,在车载储能DC-DC变换器中设计一种基于改进麻雀搜索算法的自抗扰控制器。首先,建立DC-DC变换器的一阶自抗扰控制器进行稳压控制;然后,为提高系统快速性和抗扰性,引入麻雀搜索算法进行控制器参数寻优;之后针对麻雀搜索算法易陷入局部最优的缺点,引入Tent混沌序列和多样化变异处理,并提出基于樽海鞘算法的新型改进算子对麻雀搜索算法进行改进;最后,根据列车的速度曲线进行仿真验证。通过实验对比,自抗扰控制器在启动加速阶段的电压调节时间相较于PI控制、传统自抗扰和麻雀搜索自抗扰分别减小0.012、0.006、0.003 s,在制动减速阶段分别减小0.0054、0.0025、0.0015 s,结果表明所设计的控制器的可行性和有效性。 In order to suppress the voltage fluctuation of traction network caused by frequent start and stop of urban rail trains,an active disturbance rejection controller based on improved sparrow search algorithm is designed for on-board energy storage DC-DC converter.Firstly,the first order active disturbance rejection controller of the DC-DC converter is established for voltage control.Then,in order to improve the rapidity and immunity of the system,sparrow search algorithm is introduced to optimize the controller parameters.Then,aiming at the shortcomings of sparrow search algorithm that is easy to fall into local optimal,Tent chaotic sequence and diversified mutation processing are introduced,and a new improved operator based on salp swarm algorithm is proposed to improve sparrow search algorithm.Finally,the speed curve of the train is simulated and verified.Compared with PI control,traditional active disturbance rejection and Sparrow search active disturbance rejection,the voltage adjustment time of the proposed active disturbance rejection controller is reduced by 0.012,0.006 and 0.003 s respectively in the start-up acceleration stage,and by 0.0054,0.0025 and 0.0015 s in the braking deceleration stage,respectively.The results show that the designed controller is feasible and effective.
作者 王晨 周雪松 马幼捷 赵明 王鸿斌 赵家欣 Wang Chen;Zhou Xuesong;Ma Youjie;Zhao Ming;Wang Hongbin;Zhao Jiaxin(Tianjin Key Laboratory of New Energy Power Conversion,Transmission and Intelligent Control,Tianjin University of Technology,Tianjin 300384,China;Chengde DianZhishang Energy Saving Technology Co.,Ltd.,Chengde 067000,China;Tianjin Anjie iot Technology Co.,Ltd.,Tianjin 300392,China;Tianjin Ruiyuan Electric Co.,Ltd.,Tianjin 300308,China)
出处 《国外电子测量技术》 2024年第7期46-56,共11页 Foreign Electronic Measurement Technology
基金 国家自然科学基金(51877152) 天津市科技特派员项目(22YDTPJC00340) 天津市研究生科研创新项目(2022SKY180) 天津理工大学校级研究生科研创新实践项目(YJ2225)资助。
关键词 车载储能系统 自抗扰控制 混合策略麻雀搜索算法 DC-DC变换器 Tent混沌 vehicle energy storage system active disturbance rejection control sparrow search algorithm DC-DC converter Tent chaos
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