摘要
由于外部扰动和内部摄动的作用,城轨车辆在行驶过程中无法绝对精准地按照ATO行车曲线运动,不可避免地会出现行驶误差。综合车辆行驶误差的特点,建立时间序列自回归模型,以ATO作为载体,通过数据分析对车辆的行驶误差进行预测。最后对样本数据进行仿真并与实际值对比,验证了所建预测模型的可行性和有效性。
Due to the external disturbance and the internal perturbation,the urban rail vehicles will not be operated according to the ATO curve movement during the driving process absolutely accurately.The emergence of travel error is inevitable.In this paper,based on the characteristic of vehicle travel errors,the time series autoregressive model is established,the travel error of the vehicle is forecasted through analysis of data with ATO being used as the carrier.
出处
《工业控制计算机》
2018年第3期1-3,6,共4页
Industrial Control Computer
基金
国家自然科学基金资助项目(61563027)
关键词
城轨车辆
行驶误差
时间序列
自回归
预测模型
urban rail vehicle
travel error
time series
auto regression
prediction model