基于双模糊逻辑控制的混合有轨电车能量管理策略研究

Mengmeng Sun, Jibin Yang, Anjin Peng, Pengyun Song, Jiye Zhang
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引用次数: 1

摘要

研究了以接触网-电池-超级电容器为动力的混合动力现代有轨电车。在分析混合动力系统结构和运行模式的基础上,分别设计了接触网区和无接触网区模糊控制器,并提出了基于双模糊控制的能量管理策略,以提高混合动力系统的燃油经济性。基于MATLAB/Simulink环境开发了混合现代有轨电车仿真系统,并对正在研究的混合现代有轨电车在规划线路上的运行进行了仿真,验证了混合现代有轨电车的性能。仿真结果表明,所提出的控制策略能够满足列车动态性能的要求,并实现各动力源之间的功率合理分配。与基于规则的控制策略相比,接触网牵引能耗降低12.3%,能量回收率提高9.3%。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Research on Energy Management Strategy of Hybrid Tramway Based on Double Fuzzy Logic Control
A catenary-battery-ultracapacitor powered hybrid modern tramway is studied. The fuzzy logic controller for the catenary zone and catenary-less zone is respectively designed by analyzing the structure and operation mode of the hybrid system, then an energy management strategy based on double fuzzy logic control is proposed to enhance the fuel economy. The hybrid modern tramway simulation system is developed based on MATLAB/Simulink environment, and operation of a researching hybrid modern tramway on a planned railway line is simulated to verify the performance of the hybrid modern tramway. The simulation results demonstrate that the proposed control strategy can satisfy the demand for train dynamic performance and achieve the power distribution reasonably between the power source. Compared with the rule-based control strategy, the energy consumption of catenary traction is reduced by 12.3% and the energy recovery rate is increased by 9.3%.
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