城市轨道交通列车运行节能策略研究
张赟昀
Research on Energy-saving Strategy for Urban Rail Transit Train Operation
ZHANG Yunyun
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作者信息:深圳地铁建设集团有限公司, 518035， 深圳
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Affiliation:Shenzhen Metro Construction Group Co., Ltd., 518035, Shenzhen, China
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关键词:
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Key words:
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DOI:10.16037/j.1007-869x.2019.08.015
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中图分类号/CLCN:TK01+8：U231
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栏目/Col:研究报告
摘要:
建立了列车动力学模型，选择采用多种群遗传算法和PID（比例积分微分）跟踪策略研究城市轨道交通列车运行节能策略。分析了不同遗传算子对多种群遗传算法的影响，确定了各遗传算子选取的原则及最优取值范围，给出了基于多种群遗传算法的列车节能策略。建立了基于MATLAB软件的仿真系统，并采用实际线路数据进行了仿真，验证了所提出的列车节能策略的有效性。
Abstracts:
Firstly, by establishing a train dynamics model, the multi-population genetic algorithm and the PID tracking strategy are used to study the energy-saving strategy of urban rail transit train operation. Then, the influence of different genetic operators on multi-population genetic algorithm is analyzed. The principle and the optimal range of each genetic operator are determined. Thus a train energy-saving strategy based on multi-population genetic algorithm is presented. Finally, a simulation system based on MATLAB programming is set up and simulate by the actual guideway data to verify the effectiveness of the algorithm.
引文 / Ref:
张赟昀.城市轨道交通列车运行节能策略研究[J].城市轨道交通研究，2019，22(08):67.
ZHANG Yunyun.Research on energy-saving strategy for urban rail transit train operation[J].Urban Mass Transit，2019，22(08)：67.
ZHANG Yunyun.Research on energy-saving strategy for urban rail transit train operation[J].Urban Mass Transit，2019，22(08)：67.
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