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作 者:欧志新[1] 李继侠 邓春兰 OU Zhixin;LI Jixia;DENG Chunlan(Department of Urban Rail Transit and Information Engineering,Anhui Communications Vocational&Technical College,Hefei 230051,Anhui,China)
机构地区:[1]安徽交通职业技术学院城市轨道交通与信息工程系,安徽合肥230051
出 处:《电气传动》2023年第12期55-61,共7页Electric Drive
基 金:2022年高校学科(专业)拔尖人才学术资助项目(GXBJZD2022150);2022年安徽省高校自然科学研究重点项目(2022AH052447)。
摘 要:电网电能传输的可靠性和稳定性是行车安全的保障,由于外部干扰波动和电流电弧对电网结构的影响,其参数获取和动态建模变得困难。首先,分析电网结构失真度和模型结构变化的特点,采用基于理论集的模糊控制分析电网动态电能传输的特点。其次,对于采样电流的多变模型进行数据融合,结合自适应控制的策略,在线修正误差超调和抑制波动,并寻求模糊控制约束保持其局部最小的误差均方值稳定。最后,通过实验参数建立Simulink模糊仿真模型验证了自适应数据融合技术能有效地修正误差和波动,保证良好的行车电能传输。The reliability and stability of electric energy transmission in the power grid are the guarantee of driving safety,due to the impact of external interference fluctuations and current arcs on the power grid structure,its parameter acquisition and dynamic modeling become difficult.Firstly,the characteristics of grid structure distortion and model structure changes were analyzed,fuzzy control based on theory sets was used to analyze the characteristics of dynamic electric energy transmission in power systems.Secondly,data fusion was performed for multivariate models of sampled currents,combined with adaptive control strategies to online correct error overshoot and suppress fluctuations,and to seek fuzzy control constraints to maintain the stability of its local minimum error mean square value.Finally,a Simulink fuzzy simulation model was established through experimental parameters to verify that adaptive data fusion technology can effectively correct errors and fluctuations,ensure good driving power transmission.
分 类 号:TB273[一般工业技术—工程设计测绘]
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