The invention provides a maglev train positioning method and device based on an adaptive Kalman filtering algorithm, and the method comprises the steps: obtaining the data information of a to-be-positioned maglev train through a multi-sensor fusion method, and enabling the data information to comprise at least one of the target latitude and longitude, the acceleration, the current speed and the current position; carrying out weight fusion on the data information through an automatic correction weight dynamic distribution method and introduction of attenuation memory molecules to obtain fusion data; and performing noise estimation on the fusion data through an adaptive Kalman filtering algorithm, and determining position information of the to-be-positioned maglev train according to the fusion data after noise estimation. Through the method, the effect of accurately positioning the maglev train can be achieved.
本申请提供了基于自适应卡尔曼滤波算法的磁悬浮列车定位方法和装置,该方法包括,通过多传感器融合方法,获取待定位磁悬浮列车的数据信息,其中,数据信息包括:目标经纬度、加速度、当前速度和当前位置中的至少一个;通过自动校正权值动态分配方法,并引入衰减记忆分子,对数据信息进行加权融合,得到融合数据;通过自适应卡尔曼滤波算法对融合数据进行噪声估计,并根据噪声估计后的融合数据,确定待定位磁悬浮列车的位置信息。通过该方法可以达到准确的定位磁悬浮列车的效果。
Maglev train positioning method and device based on adaptive Kalman filtering algorithm
基于自适应卡尔曼滤波算法的磁悬浮列车定位方法和装置
2024-08-27
Patent
Electronic Resource
Chinese
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