滑移转向车的能量优化轨迹

M. Effati, Krzysztof Skonieczny, Devin J. Balkcom
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引用次数: 0

摘要

本文介绍了滑移转向车在无障碍物的硬地上的能量最优轨迹。我们获得了 29 种足以描述最小能量运动的轨迹结构,并对其进行了列举和几何描述;其中 28 种结构由圆弧和直线序列组成;还有一种特殊结构称为漩涡,由不同的圆弧组成。我们的分析表明,轨迹结构中的转弯(除漩涡外)都是具有特定转弯半径 R′的圆弧,R′是滑移转向车内轮不受控转弯的转弯半径。这项工作证明了其在能量优化路径规划中的极端重要性。一直以来,滑移转向车都缺乏能量最优轨迹生成的分析方法,而我们通过一种新颖的方法解决了这一问题。这项工作中提出的等价定理表明,无论是否施加速度限制,所有能量最小的解决方案都遵循相同的路径。这个非直观的结果源于这样一个事实,即在这个系统模型中,总能量完全由路径的几何参数决定。考虑到这种等效性,我们可以选择速度约束来强制执行恒定的功率消耗,从而将能量最优问题转化为等效的时间最优问题。然后就可以利用庞特里亚金最小原理来解决这个问题。相应地,极值路径被获得并枚举出来,从而找到能量最小的路径。此外,我们使用赫斯基 UGV 的实验结果为等效定理提供了实验支持。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Energy-optimal trajectories for skid-steer rovers
This paper presents the energy-optimal trajectories for skid-steer rovers on hard ground, without obstacles. We obtain 29 trajectory structures that are sufficient to describe minimum-energy motion, which are enumerated and described geometrically; 28 of these structures are composed of sequences of circular arcs and straight lines; there is also a special structure called whirls consisting of different circular arcs. Our analysis identifies that the turns in the trajectory structures (aside from whirls) are all circular arcs of a particular turning radius, R′, the turning radius at which the inner wheels of a skid-steer rover are not commanded to turn. This work demonstrates its paramount importance in energy-optimal path planning. There has been a lack of analytical energy-optimal trajectory generation for skid-steer rovers, and we address this problem by a novel approach. The equivalency theorem presented in this work shows that all minimum-energy solutions follow the same path irrespective of velocity constraints that may or may not be imposed. This non-intuitive result stems from the fact that with this model of the system the total energy is fully parameterized by the geometry of the path alone. With this equivalency in mind, one can choose velocity constraints to enforce constant power consumption, thus transforming the energy-optimal problem into an equivalent time-optimal problem. Pontryagin’s Minimum Principle can then be used to solve the problem. Accordingly, the extremal paths are obtained and enumerated to find the minimum-energy path. Furthermore, our experimental results by using Husky UGV provide the experimental support for the equivalency theorem.
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