DocumentCode :
3306369
Title :
Prediction Method of Lunar Rover´s Tractive Performance Based on Similitude Methodology
Author :
Li, Meng ; Gao, Feng ; Sun, Peng
Author_Institution :
Sch. of Transp. Sci. & Eng., Beijing Univ. of Aeronaut. & Astronaut., Beijing, China
fYear :
2012
fDate :
12-14 Jan. 2012
Firstpage :
686
Lastpage :
689
Abstract :
In order to analyze low gravity influence to the tractive performance of lunar rover effectively, similitude methodology was introduced to investigate the lunar wheel-soil interaction. The key parameters of the system between lunar soil and rover wheel were selected at first, the terramechanical model of the system under lunar gravity was created according to similarity theorem, then the feasibility of model experiment approach was discussed. Since the cohesion of lunar soil is very low, a simple method was proposed to conduct the model experiment, with this method, both the wheel shape and wheel size are invariable, the rotation speed of model wheel is set as 2.45 times as the rotation speed of prototype wheel, the lunar soil simulant can be used as model experimental soil by remodeling the in-situ lunar soil state under ground gravity. In this case, both the drawbar pull and tractive torque obtained in model experiment are 6 times of their corresponding values under prototype condition, thus this method can be used to study a lunar rover´s tractive performance on moon surface. To test and verify this method in the next step, the related verification technique was also introduced.
Keywords :
mechanical engineering computing; soil; torque; traction; ground gravity; lunar gravity; lunar rover; lunar soil; lunar soil simulant; lunar wheel soil interaction; prediction method; prototype wheel; rover wheel; similitude methodology; terra mechanical model; tractive performance; tractive torque; verification technique; Analytical models; Gravity; Moon; Predictive models; Prototypes; Soil; Wheels; lunar rover; model experiment; similitude methodology; tractive performance;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Intelligent Computation Technology and Automation (ICICTA), 2012 Fifth International Conference on
Conference_Location :
Zhangjiajie, Hunan
Print_ISBN :
978-1-4673-0470-2
Type :
conf
DOI :
10.1109/ICICTA.2012.177
Filename :
6150101
Link To Document :
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