基于轮地作用参数和PLSDA方法的月壤力学性能评估

doi:10.7527/S1000-6893.2014.0364

Abstract

Abstract:

In order to estimate the mechanical performance of lunar soil nearby a lunar roving vehicle and terrain traversability, partial least square discriminant analysis (PLSDA) method is adopted to estimate mechanical parameters of lunar soil combined with 16 binary and ternary signatures which are proposed based on the available information of a lunar roving vehicle, such as wheel load, slip ratio and wheel sinkage. In this paper, mechanical state of lunar soil simulant is divided into three kinds of bulk density:soft, normal and hard. A total of 247 test data of wheel-terrain interaction test bed are collected. Then these data are assigned to calibration set and prediction set at the ratio of 2:1 randomly, and the number of calibration set and prediction set are 166 and 81, respectively. Considering that there are obvious differences among raw data and some signatures contained useless information, the optimized model of discriminant analysis is developed using the data pretreatment of mean center and 10 optimized combination of signatures, and the accuracy of calibration set and prediction set are 90.96% and 90.12%, respectively. The result demonstrates that wheel load, slip ratio, wheel sinkage and selected signatures combined with PLSDA method are suitable to estimate the mechanical parameters of lunar soil quickly. And the method can be used for trafficability prediction of lunar roving vehicle on line.

Key words: terramechanics, lunar roving vehicle, PLSDA, slip ratio, sinkage

CLC Number:

V474.3

XUE Long, ZOU Meng, LI Jianqiao, DANG Zhaolong, HUANG Han, CHEN Baichao. Mechanical performance estimation of lunar soil using wheel-soil interaction parameter and PLSDA[J]. ACTA AERONAUTICAET ASTRONAUTICA SINICA, 2015, 36(11): 3751-3758.

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Mechanical performance estimation of lunar soil using wheel-soil interaction parameter and PLSDA

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