摘要
基于对列车自动驾驶(ATO)系统算法的分析,首先针对ATO系统停车阶段采取的一级调速制动过程,利用模糊PID软切换控制算法对ATO系统进行研究;然后利用模糊规则实现模糊控制与PID控制之间的切换;最后通过对系统的仿真表明,该算法不仅能够实现ATO系统调速控制的平滑过渡,而且使列车能够平稳运行,节约能源,同时提高了乘坐的舒适性和停车精度.
Control algorithms of automatic train operation（ATO） system are studied in this paper.The characteristics of the train traction and the single phase of speed adjustment during the train braking are introduced.A fuzzy-PID soft switching control algorithm is then proposed to the ATO system,where fuzzy rules are used to realize the switching between fuzzy and PID controllers.Simulation results show that,the speed control algorithm is efficiency,which improves many functions during the operation of train,such as efficiency,punctuality,energy-economizing,stop precision,riding comfort and so on.
出处
《控制与决策》
EI
CSCD
北大核心
2010年第5期794-796,800,共4页
Control and Decision
基金
国家自然科学基金项目(60870013
60736047
60834001)
关键词
列车自动驾驶
调速制动
模糊PID软切换
舒适性
Automatic train operation（ATO）
Speed adjustment
Fuzzy-PID soft switch
Riding comfort
