电气传动2026，Vol.56Issue(5)：19-27,9.DOI:10.19457/j.1001-2095.dqcd26125
参数匹配下的城轨列车ATO控制研究
Parameter-matched ATO Control Study of Urban Trains
摘要
Abstract
The technological core of the automatic train operation(ATO)for urban trains lies in the high-precision control of traction motors,which requires online identification and correction of the motor closed-loop parameters.In order to satisfy the high-precision requirement that the ATO operation and stopping accuracy of urban trains must be controlled within±15 cm,a model reference adaptive system(MRAS)online identification method was proposed for optimizing the rotor chain observer,carrying out identification parameter matching,and combined with an improved positional ATO algorithm to verify the practical application effect of control optimization.Through simulation analysis and experimental verification,this method can accurately identify the motor parameters,and the deviation from the actual value is less than 0.1,which improves the control performance of the train traction motor,and further optimizes the ATO control of the train within the range of train stopping accuracy can be controlled±10 cm.关键词
城轨交通/自动驾驶/参数辨识/转子磁链Key words
urban rail transit/automatic train operation(ATO)/parameter identification/rotor magnetic chain分类
信息技术与安全科学引用本文复制引用
成实,赵鲁,迟宇航,罗宇昂,依克沙·哈力木拉提..参数匹配下的城轨列车ATO控制研究[J].电气传动,2026,56(5):19-27,9.基金项目
国家重点研发项目(2023YFB4302102-2) （2023YFB4302102-2）
