Modeling and Simulation of Automatic Train Operation System based on Self-regulating Fuzzy Algorithm

摘要：

Accurate velocity and position tracking are the main tasks of automatic train operation (ATO)systems,accompanied by other concerned issues,such as the comfort of passenger,energy saving,etc..A novel train dynamic model is established, which can mirror the dynamic characteristic better than that of single-mass model,and less computational amount than that of multi-mass model simultaneously.Following a fuzzy-logic controller incorporating self-regulating algorithm is designed and implemented.The effectiveness of the proposed algorithm is proved by numerical simulations.

作者: DONG Hai-Rong GAO Shi-Gen NING Bin LI Li

作者单位: School of Electronic and Information Engineering,Beijing Jiaotong University,Beijing 100044,P.R.Chin State Key Laboratory of Rail Traf fic Control and Safety,Beijing Jiaotong University,Beijing 100044, Beijing MTR Corporation Limited,Beijing 100068,P.R.China

会议类型: 国际会议

会议名称: The 30th Chinese Control Conference(第三十届中国控制会议)

会议地点: 烟台

会议语种:英文

页码: 1-4

在线出版日期: 2011-07-01（万方平台首次上网日期，不代表论文的发表时间）