基于操纵动作预测的履带车辆载荷谱编制方法与流程

针对履带车辆载荷谱编制中任务关联样本量不足的问题，以载荷谱块和训练科目为基础，利用路径规划、行动规划算法预测车辆行动与操纵动作，提出基于操纵动作预测的履带车辆载荷谱编制方法。该方法以车辆任务和地理信息为输入，将预测的车辆状态和操纵动作作为索引查表获取载荷谱块，通过拼接载荷谱块形成载荷时历数据。验证试验结果表明，拼接生成的载荷数据样本能够正确地反映车辆工况，可用于关联任务车辆载荷数据样本的快速生成。

Generating Method and Process of Load Spectra for Tracked Vehicles Based on Prediction of Manipulating Action

A new generating method of load spectrum for tracked vehicles is proposed based on load spectrum blocks and training subjects to cope with the problem of insufficient sample size. Action of vehicles and driving behavior are predicted by using path planning algorithm and action planning algorithm. Training subjects and geographic information are used as input data, the predicted vehicle situation and driving behavior are taken as indexes to get load spectrum blocks, and the time domain load spectrum are generated by spliced load spectrum blocks. The verification test results show that the load data samples generated by splicing method can reflect the vehicle working conditions correctly, and it can be used to generate load samples rapidly.