The Operation States Awareness of High-speed Train Based on Consensus Filtering

This paper studies the operation states awareness for high-speed train and proposes the awareness strategy based on consensus filtering method. Firstly, according to the structure of the on-board sensor nodes network and the dynamic characteristics of the high-speed train, a consensus filter is designed with communication time-delay and the filtering error system model of the sensor nodes network is obtained. Then, a sufficient condition of the filtering error system stability with H-infinity performance level is given by applying Lyapunov method. Finally, a method for obtaining consensus filtering parameters is proposed. The effectiveness of the consensus filtering method is illustrated by simulation results.