Material Engineering and Mechanical Manufacturing

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

  • XUE Long ,
  • ZOU Meng ,
  • LI Jianqiao ,
  • DANG Zhaolong ,
  • HUANG Han ,
  • CHEN Baichao
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  • 1. Key Laboratory for Bionics Engineering of Education Ministry, Jilin University, Changchun 130022, China;
    2. School of Mechatronic Engineering, East China Jiaotong University, Nanchang 330045, China;
    3. Institute of Spacecraft System Engineering, China Academy of Space Technology, Beijing 100094, China

Received date: 2014-11-06

  Revised date: 2014-12-25

  Online published: 2015-01-07

Supported by

National Natural Science Foundation of China (51375199);Foundation of China Academy of Space Technology (2012M520676);National Defense Pre-research Foundation of Jilin University (JDXJY20130207);Key Laboratory Opening Funding of Key Laboratory of Bionic Engineering of Ministry of Education (K201406)

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.

Cite this article

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 . DOI: 10.7527/S1000-6893.2014.0364

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