基于仿真数据的列车运动模型辨识  

Train Motion Model Identification Based on Simulation Data

作　　者：刘志盼[1] 陈祥献[1] 黄海[1] 段会龙[1] 

机构地区：[1]浙江大学生物医学工程与仪器科学学院,杭州310027

出　　处：《计算机工程》2012年第17期254-257,共4页Computer Engineering

摘　　要：提出一种基于地铁列车的运行仿真数据来辨识列车传递函数的新思路。通过对列车运动模型的分析建立列车运行仿真中涉及到的多质点受力模型,用于计算不同车型混编的地铁列车的受力情况。以该受力模型为基础对列车的运行情况进行仿真实现,基于仿真软件生成的牵引力和速度随时间变化的数据,通过最小二乘法辨识出列车的传递函数。实验结果表明,辨识出的列车运动模型是有效的。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 

分 类 号：N945[自然科学总论—系统科学]