Abstract

A dynamic computer simulator was developed to study planetary rover mobility. The simulator was validated for step-obstacle negotiation by comparing simulation results with a quasi-static analysis of a rocker-bogie suspension. In addition, sample rover wheels were constructed and experiments were carried out on a single-wheel testbed to help validate the simulator. It is concluded that to fully validate such a complex simulation tool requires experimental data from a full-size rover chassis.

Highlights

  • In this paper, the present authors describe a Rover Chassis, Analysis and Simulation Tool (RCAST) to study mobility and support rover chassis design and optimization

  • In order to compare the above experimental results with the AS2TM soft-soil tire model in RCAST, the soil parameters associated with this model were manually tuned

  • A rover chassis and analysis computer simulation called RCAST successfully couples a rigid multibody dynamics engine with the AS2TM wheel-soil interaction module to enable locomotion performance to be studied for various rover designs

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Summary

Introduction

The present authors describe a Rover Chassis, Analysis and Simulation Tool (RCAST) to study mobility and support rover chassis design and optimization. RCAST simulates both the rover multibody dynamics and corresponding wheel-soil interactions (Bauer et al, 2005a). Developed in Mathwork’s Matlab/ Simulink environment, RCAST uses a commerciallyavailable wheel-soil interaction computer model called the AESCO Soft Soil Tire Model (AS2TM) to predict planetary rover locomotion (AESCO, 2003). Step-obstacle negotiation simulations are compared with a quasi-static analysis to validate RCAST. Experimental data from a single-wheel testbed are used to help validate RCAST simulation results (Bauer et al, 2005b)

Rover Model Development
Applications of RCAST
Assume the tractive forces on the wheels obey the linear Coulomb relation
Single-Wheel Experiments
Comparison of Simulation and Experimental Results
Findings
Conclusions

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