改进的灰度预测在列车轮径校正中的研究

Research on Train Wheel Diameter Calibration with Improved Gray Prediction

列车测速定位是列控系统中的三大关键技术之一,精确的列车定位将会提高列车运行控制的安全性,缩短列车追踪间隔和提高行车效率。针对目前地铁中主流的脉冲速度传感器和应答器的组合定位技术中存在的轮径损耗问题,提出将改进的灰度预测算法应用于轮径校正中。根据列车通过定位应答器推算出的前面若干组列车轮径值,滚动预测列车下一走行区间定位计算中的轮径值,以此提高列车的定位精度,具有一定的实践意义。

Train velocity measurement and positioning is one of the three key technologies in train control system,and precise train positioning will improve the safety of train operation,shorten inter-train tracking interval and raise traffic efficiency. To address wheel diameter loss resulted from the combination positioning by means of the mainstream technology of pulse speed sensor and balise in subway,the paper proposes a wheel diameter correction method using improved gray prediction algorithm. Wheel diameters in the next train traveling section are predicted in rolling according to some sets ofwheel diameters when the train passes the positioning balise such that the train positioning accuracy is improved practically.