从而为优化步行轮主要参数和预测步行轮的牵引附着性能提供了理论依据。
Whereby it is able to optimize the major parameters and to predict the kinetic performance of the walking wheel with the results studied.
实时获得准确的地面关键性参数能使自主运行的机器人得到准确的通过性预测和牵引力控制。
And the real-time acquisition of accurate soil parameters will enable a robot to autonomously achieve accurate traversability prediction and effective traction control.
结果建立了用于计算机辅助设计的镍钛记忆合金牵引器有限元模型，可以预测一定形状的牵引器在变形过程中(各时段)其本身结构中各节点、单元的受力、位移情况。
Results the finite element model of NTMA tractor for CAD was set up, which could predict the strength and displacement of every node and element of its own structure in the course of deforming.
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