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A New Contact Angle Detection Method for Dynamics Estimation of a UGV Subject to Slipping in Rough-Terrain

机译:一种新的接触角度检测方法,用于粗糙地形下滑动的UGV动态估计

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摘要

In this paper, a new single-output resistive sensor is proposed to enhance the dynamics estimation, slip elimination, stability extraction and surface scanning of a ground UGV (wheeled-robot) in 2D and 3D spaces. The new sensor is based on the total resistance of a circuit which contains a continuous resistive belt with high accuracy. The Lagrange method is implemented to derive the stick-slip dynamics in both 2D and 3D spaces. Furthermore, the kinematics is solved using the Newton-Raphson approach. The slipping characteristics of the robot with and without the new sensor are firstly shown in 2D space. To demonstrate the abilities of the sensor in the real applications, the dynamic simulation is further extended to 3D space. A real time torque optimization aided by the new sensor is applied to the dynamics of the robot to eliminate slip during locomotion. Moreover, a stability measure is introduced and the real time stability margins are extracted during missions. The sensor empowers the robot to scan the surface and consequently, extract the main properties of the surface. The simulation results obtained for different case studies prove the ability of the new sensor in performing the above mentioned tasks.
机译:在本文中,提出了一种新的单输出电阻传感器,以增强2D和3D空间中的接地UGV(轮式机器人)的动态估计,滑动消除,稳定性提取和表面扫描。新传感器基于电路的总电阻,其包含高精度的连续电阻带。实现Lagrange方法以导出2D和3D空间中的粘滑动力学。此外,使用牛顿-Raphson方法解决了运动学。具有和不具有新传感器的机器人的滑动特性首先在2D空间中示出。为了展示传感器在真实应用中的能力,动态模拟进一步扩展到3D空间。通过新传感器辅助的实时扭矩优化应用于机器人的动态,以在运动过程中消除滑动。此外,引入了稳定性测量,并且在任务期间提取实时稳定性边缘。传感器使机器人赋予表面扫描,因此,提取表面的主要性质。为不同案例研究获得的模拟结果证明了新传感器在执行上述任务时的能力。

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