Abstract
Performing physical acceptance tests of an Unmanned Ground Vehicle (UGV) can be expensive and time-consuming. This paper discusses simulation-based acceptance testing and failure analysis for UGVs. Both dynamic and static simulation models are developed. A systematic statistical testing approach is presented to quantitatively assess when a simple static simulation model can be used to approximate a complex dynamic simulation. Results show that a static simulation can be used to determine the required joint motor torques under slow operation speeds. It also shows that a dynamic simulation model is needed to determine the maximum allowable moving speeds for UGVs to safely operate on roads with various levels of roughness and bumpiness.
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