基于奇异值分解强跟踪滤波的机车黏着系数估计

提出一种基于奇异值分解的改进强跟踪滤波算法,并将其用于机车黏着系数的在线估计。针对传统的强跟踪滤波算法由于引入了渐消矩阵,在递推更新预测误差方差阵时变成不对称,可能导致滤波发散的现象,研究了基于奇异值分解的更新算法,保证其收敛性。利用改进算法在线估计机车运行过程中的干扰转矩,进而估计黏着系数。仿真试验表明,该方法能有效在线估计机车黏着系数并具有较好的鲁棒性。

Locomotive Adhesion Coefficient Estimation Based on SVD Strong Track Filter

A modified strong track filter based on singular value decomposition is proposed,and it is used in locomotive adhesion coefficient estimation online.Due to introduction of fading matrix in traditional STF,the covariance of estimation uncertainty becomes asymmetric in recursive update which may cause the phenomenon filtering divergence.In order to solve this problem,the updating algorithms based singular value decomposition is used to ensure convergence.Through estimating disturbance torque online,adhesion c...