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Prediction and Experimental Validation of Power Consumption of Skid-Steer Mobile Robots in Manufacturing Environments

机译:制造环境中滑动式移动机器人电力消耗的预测与实验验证

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Skid-Steer Mobile Robots (SSMRs) provide a robust and simple mechanical drive platform making them useful in many applications. Power consumption is an important consideration in the design of any mobile robot and particularly important for SSMRs because of the slipping and corresponding friction that induce large loads on the drive system. The slipping behavior is generally characterized through Instantaneous Centers of Rotation (ICR) of the contact patches and it has been established that these are functions of the system dynamics. However, the existing SSMR power models generally treat these constraints at the kinematic level by assuming constant slip rates taken from empirical data. This paper demonstrates a method to evaluate SSMR power consumption based on slip parameters that are calculated as differential equations extracted from the equations of motion. The dynamic power model is validated and then implemented on two practical manufacturing applications in which a mobile robot is climbing on steel surfaces with primary power consumption due to turning and overcoming gravity. The applications show that the dynamic ICR model plays a significant role in estimating power requirements. The results further demonstrate that the power and energy requirements for a given task depend on the payload and motion along the task in a non-linear fashion, for example showing that the minimum payload does not necessarily correspond to the minimum energy use. This outcome suggests that dynamic effects can be used to find optimal trajectories to minimize power or energy requirements.
机译:SPID-STEER移动机器人(SSMRS)提供强大而简单的机械驱动平台,使它们在许多应用中有用。功耗是设计任何移动机器人的重要考虑因素,对SSMRS特别重要,因为在驱动系统上引起大负载的滑动和相应的摩擦。滑动行为通常通过接触贴片的瞬时旋转中心(ICR)的特征为特征,并且已经确定这些是系统动态的功能。然而,现有的SSMR功率模型通常通过假设从经验数据所采取的恒定滑移率来对运动水平进行这些约束。本文展示了一种基于从运动方程中提取的微分方程计算的滑移参数来评估SSMR功耗的方法。动态功率模型被验证,然后在两个实际制造应用中实现,其中移动机器人在具有由于转动和克服的重力而具有主要功耗的钢表面上攀爬。该应用表明,动态ICR模型在估计功率要求方面发挥着重要作用。结果进一步证明了给定任务的功率和能量要求沿着非线性方式沿着任务的有效载荷和运动,例如表示最小有效载荷不一定对应于最小能量使用。此结果表明,动态效果可用于找到最佳轨迹以最大限度地减少功率或能源需求。

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