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

doi:10.3969/j.issn.1000-1093.2022.02.002

Abstract

Abstract: 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.

Key words: trackedvehicle, trainingsubject, loadspectrum, generatingmethod

CLC Number:

TJ810.2

XU Baorong, WANG Tao, LIANG Zi. Generating Method and Process of Load Spectra for Tracked Vehicles Based on Prediction of Manipulating Action[J]. Acta Armamentarii, 2022, 43(2): 252-259.

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