中低速磁悬浮列车测速定位中的滤波方法研究

Research on filtering methods of speed measurement for medium and low speed maglev train

磁悬浮作为一种轨道交通方式,其测速定位系统的精度显得越发重要。目前国内外采用的磁悬浮测速定位的滤波方法均基于传统的测速定位方法,不适用于当前国内应用于磁悬浮上的最新测速定位技术——组合导航系统。首次提出将自适应卡尔曼滤波方法应用于磁悬浮测速定位系统中,并通过分析自适应卡尔曼滤波与经典卡尔曼滤波方法的区别,通过仿真实验进行对比,得出自适应卡尔曼滤波具有更好的滤波性与适用性,且便于在工程实践中应用。

Magnetic levitation as a mode of rail transit, its accuracy of the speed positioning system is playing a more important role. At present, the filtering methods used in China and other countries are based on the traditional method of velocity location, not suitable for the latest speed measurement and location technology, while the new technology is an integrated navigation system applicable to the magnetic levitation in China. This paper presents for the first time that adaptive Kalman filter method applicable to magnetic levitation speed positioning system. And by analyzing the difference between adaptive Kalman filtering and classical Kalman filtering methods, the simulation results show that adaptive Kalman filtering has better filtering capability and applicability, and is easy to be used in engineering practice.