用闭环RRT进行换向一般2拖车配置的运动规划

Niclas Evestedt, Oskar Ljungqvist, Daniel Axehill
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引用次数: 31

摘要

倒车小车转向拖车配置是一个艰巨的任务,任何司机没有广泛的培训。在这项工作中,我们提出了一个运动规划和控制框架,可用于自动规划和执行复杂的机动。首先通过lq控制器对具有离轴悬挂的倒车一般2拖车配置的不稳定动力学进行稳定,然后在更高级别上使用纯跟踪路径跟踪器,给出可以跟踪分段线性参考路径的级联控制器。该控制器与拖车配置的运动学模型一起用于闭环快速探索随机树框架内的前向仿真,以生成运动计划,该计划不仅在运动学上可行,而且在倒车时还包括控制器跟踪性能的限制。该方法在三种不同的场景下通过一系列蒙特卡罗模拟进行了评估,并取得了令人印象深刻的成功率。最后在小型测试平台上对该方法进行了成功的测试,计算出运动计划并将其发送到平台执行。
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Motion planning for a reversing general 2-trailer configuration using Closed-Loop RRT
Reversing with a dolly steered trailer configuration is a hard task for any driver without extensive training. In this work we present a motion planning and control framework that can be used to automatically plan and execute complicated manoeuvres. The unstable dynamics of the reversing general 2-trailer configuration with off-axle hitching is first stabilised by an LQ-controller and then a pure pursuit path tracker is used on a higher level giving a cascaded controller that can track piecewise linear reference paths. This controller together with a kinematic model of the trailer configuration is then used for forward simulations within a Closed-Loop Rapidly Exploring Random Tree framework to generate motion plans that are not only kinematically feasible but also include the limitations of the controller's tracking performance when reversing. The approach is evaluated over a series of Monte Carlo simulations on three different scenarios and impressive success rates are achieved. Finally the approach is successfully tested on a small scale test platform where the motion plan is calculated and then sent to the platform for execution.
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