计算机工程2012，Vol.38Issue(17)：254-257,4.DOI:10.3969/j.issn.1000-3428.2012.17.068
基于仿真数据的列车运动模型辨识
Train Motion Model Identification Based on Simulation Data
刘志盼 1陈祥献 1黄海 1段会龙1
作者信息
- 1. 浙江大学生物医学工程与仪器科学学院,杭州310027
- 折叠
摘要
Abstract
Based on the simulation data of subway trains, a new idea to identify the transfer function of trains is proposed. Multi-particle bearing models which are needed in train operation simulation are established by analyzing the force situation of subway trains. The models can be used for studying and computing the force situation of mixed marshalling subway trains. The operation of trains is simulated based on these bearing models. The transfer function of trains is identified applying the least-squares method. Test results show that the obtained motion model of trains is valid.
关键词
多质点/受力模型/列车运行仿真/最小二乘法/列车运动模型Key words
multi-particle/ bearing model/ train operation simulation/ least-squares method/ train motion model分类
自科综合引用本文复制引用
刘志盼,陈祥献,黄海,段会龙..基于仿真数据的列车运动模型辨识[J].计算机工程,2012,38(17):254-257,4.
