铁道标准设计2016，Vol.60Issue(7)：14-18,19,6.DOI:10.13238/j.issn.1004-2954.2016.07.004
基于扩展卡尔曼滤波的轨道垂向不平顺估计
Prediction of Vertical Track Irregularities Based on Extended Kalman Filter
摘要
Abstract
Track irregularities are main factors affecting stability and comfort of trains and it is important to understand the status of line to ensure safe operation of trains. Due the difficulties to detect different irregularities of different bands with a single inertial value, the method based on the observation of multi inertia values to predict vertical track irregularity is proposed. The optimal estimation principle of extended Kalman filter for nonlinear discrete systems is used to estimate track irregularities according to Recursive Jacobi matrix, the vehicle track coupling status-space equation and the optimal state estimation obtained with linear measurement equation. On Matlab platform, the simulation of actual track irregularities measured under stimulation is conducted. The simulation results show that this algorithm is accurate to estimate track irregularities.关键词
轨道不平顺/扩展卡尔曼滤波/最优估计Key words
Track irregularities/Extended Kalman Filter/Optimal estimation分类
交通工程引用本文复制引用
王贵,邢宗义,王晓浩,陈岳剑..基于扩展卡尔曼滤波的轨道垂向不平顺估计[J].铁道标准设计,2016,60(7):14-18,19,6.基金项目
中央高校基本科研业务费专项资金项目(30920130132002) （30920130132002）
