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Power consumption of tracked and wheeled small mobile robots on deformable terrains-model and experimental validation

机译:可变形地形模型和实验验证的跟踪和轮式小型移动机器人的功耗

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The ability to predict the power consumption of a small mobile robot with either tracked or wheeled configuration is important to its design and control. Accurate and fast prediction of power consumption enables online motion planning that does not exceed the power limits imposed by the propulsion system or the terrain. Skid steering is widely used on small mobile robots because of its simplicity and robust performance. However, modeling of skid steering on deformable terrains is difficult because of the complex vehicle-terrain interaction and the distributed nature of shear stress along the contact surface. This paper first develops a new skid steering model based on terramechanics that is capable of predicting torque and power consumption and is both accurate and computationally efficient. This skid steering model is verified using the experimental data obtained from a track/wheel interchangeable mobile robot driving on dry sand at low speeds. Further, this paper studies the comparison of power consumption between tracked and wheeled mobile robots on deformable terrains focusing on two different aspects: 1) the power losses due to internal friction and damping resistances of both tracked and wheeled configurations, measured from the robot, and 2) the power consumed by deforming the soft soil, using the power consumption model. Overall, this study provides new insights on power consumption of skid steering of both tracked and wheeled mobile robots on deformable terrains. (C) 2018 Elsevier Ltd. All rights reserved.
机译:预测具有跟踪或轮式配置的小型移动机器人的功耗的能力对于其设计和控制是重要的。功耗的准确性和快速预测使得在线运动规划不超过推进系统或地形所施加的电源限制。由于其简单性和强大的性能,防滑转向广泛用于小型移动机器人。然而,由于复杂的车辆地形相互作用和沿接触表面的剪切应力的分布性质,因此难以实现可变形地形上的滑动转向的建模。本文首先通过能够预测扭矩和功耗,开发一种新的滑动转向模型,可以准确和计算效率。使用从轨道/车轮可互换移动机器人获得的实验数据在低速下驾驶的轨道/轮可互换移动机器人获得的实验数据来验证该滑动转向模型。此外,本文研究了在两个不同方面的可变形地形上的跟踪和轮式移动机器人之间的功耗的比较:1)由机器人测量的跟踪和轮式配置的内部摩擦和阻尼电阻导致的功率损耗2)使用功耗模型使软土变形消耗的功率。总的来说,本研究为可变形地形上的跟踪和轮式移动机器人的滑动转向的功耗提供了新的见解。 (c)2018年elestvier有限公司保留所有权利。

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