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基于PSO-PID模型的城市轨道交通精确停车设计

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随着我国城市轨道交通的快速发展,全自动驾驶已成为该领域的重要发展方向,精确停车技术作为衡量全自动驾驶性能的重要指标之一,其重要性日益凸显.为深入探索并提升列车的精确停车能力,文章基于列车动力学模型,结合MATLAB仿真软件中的SIMULINK模块,构建列车运行仿真环境,以获取并分析列车运行仿真曲线,并搭建基于PID控制和基于PSO-PID控制2种不同的控制仿真模型进行对比分析.实验结果表明,相较于传统的PID控制方法,基于PSO-PID控制可将停车精度由偏差1.02 m优化至偏差0.26 m,这一显著改进充分证明PSO-PID控制可更加有效的提升列车停车精度.
Precisive parking design of urban rail transit based on PSO-PID model
With the rapid development of urban rail transit in China,fully automatic has become an important development direction in this field.As one of the important indicators to measure the performance of fully automatic driving,the importance of precise parking technology has become increasingly prominent.To further explore and improve the accurate stopping ability of trains,this article establishes a train operation simulation environment based on the train dynamics model and SIMULINK module in MATLAB simulation software to obtain and analyze the train operation simulation curve,and to establish two different control simulation models based on PID control and PSO-PID control for comparative analysis.The experimental results show that compared with the traditional PID control method,PSO-PID control could optimize the parking accuracy from 1.02m to 0.26m.This significant improvement has fully proved that PSO-PID control could improve the parking accuracy of trains more effectively.

urban rail transitprecisive parkingMATLABPSO-PID

夏从东、王笑天、渠军

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苏州市轨道交通集团有限公司,江苏苏州 215000

南京恩瑞特实业有限公司,江苏南京 211100

城市轨道交通 精确停车 MATLAB PSO-PID

2024

现代城市轨道交通
中国铁道科学研究院

现代城市轨道交通

影响因子:0.301
ISSN:1672-7533
年,卷(期):2024.(9)
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