Detecting soil parameters from a small tracked vehicle

Alexsandro José Virgínio dos Santos, A. Silva, C. Souto, S. A. Silva, Ana Maria Marques de Lima
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Abstract

Tracked robots have been studied for years, to high-level applications, such as autonomous navigation in areas of difficult access and maneuvering strategies that allow better performance compared to other types of vehicles. The full operation of a robotic system depends on ensuring the functioning of all its parts, which can be divided hierarchically or functionality. There is a consensus that the kinematic model can be simplified for most analyzes. Likewise, the dynamic model is greatly simplified because of its complexity and uncertainty, but not allowing use of models that approximate the actual behavior. The dynamic approach proposed in this work includes a lateral drag force, causing the tracks moves in curvilinear, considering their non-linearity and strong coupling between the tracks. The traction performed by the vehicle is from electric DC motors. Also it is presented the implementation of a procedure for detecting parameters of the interaction between the tracks and the soil, by estimating the coefficients of kinetic and dynamic friction, from the measurement of current supplied to the engines while performing a maneuver.
从小型履带式车辆上检测土壤参数
履带式机器人已经被研究了多年,并得到了高级应用,比如在难以进入的地区进行自主导航,以及与其他类型的车辆相比,具有更好性能的机动策略。机器人系统的完整运行取决于确保其所有部件的功能,这些部件可以按等级或功能进行划分。对于大多数分析,运动学模型都可以简化,这是一个共识。同样,动态模型由于其复杂性和不确定性而被大大简化,但不允许使用接近实际行为的模型。考虑到轨道的非线性和轨道之间的强耦合,本文提出的动力学方法考虑了横向阻力,使轨道呈曲线运动。车辆的牵引力来自直流电机。此外,还介绍了一种检测履带与土壤相互作用参数的方法的实现,该方法通过测量发动机在进行机动时提供的电流来估计动力和动力摩擦系数。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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