摘要
为了满足城市轨道交通对安全、高效、舒适日益增长的需求,研究能有效提升列车运行的安全性、追踪性、准点性、停车精确性、旅客的舒适性和节能性等性能指标的列车自动驾驶技术。首先针对列车自动驾驶的6个性能指标建立对应的模糊隶属度函数,然后总结城轨列车的人工驾驶策略,在此基础上,建立相应的模糊控制规则。以基于惰行节能优化算法生成的优化曲线为跟踪目标,采用模糊预测控制算法能够有效跟踪目标速度,实现城轨列车的自动驾驶。
In order to meet the increasing demand for safety, high-efficiency and comfortability of urban public transportation system, studies the Automatic Train Operation （ATO） technology, which can remarkably improve safe and punctual operation, accuracy of stop, traceability of target curve, comfortability and energy-saving. Firstly, establishes six main performance indexes of ATO, corresponding fuzzy membership functions, then based on summaries of manual operation strategies of metro train, concludes the corresponding fuzzy control rules, proposes an algorithm of energy-saving optimization based on coasting control, and an energy-saving optimization curve of train can be generated. Through applying predictive fuzzy control algorithm, the actual speed curve can match the target curve closely and eventually realizes the Automatic Train Operation purpose.
作者
何坤
肖壮
朱宇清
毛畅海
HE Kun;XIAO Zhuang;ZHU Yu-qing;MAO Chang-hai(School of Electrical Engineering, Southwest Jiaotong University, Chengdu 610097)
关键词
城轨列车
自动驾驶系统ATO
模糊预测控制
隶属度函数
Metro Train
Automatic Train Operation （ATO）
Predictive Fuzzy Control Algorithm
Fuzzy Membership Functions
