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Combining trajectory control and position control for autonomous mobile robot navigation

机译:轨迹控制与位置控制相结合的自主移动机器人导航

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In the present paper, we described the system architecture of the autonomous mobile robot B21 from RWI focussing on the double control loop implementing the kinematic control together with the underlying drive control. As a highly accurate drive control is taken for granted only the kinematic model is considered for trajectory and position control. In order to manage successfully demanding tasks in dynamic environments, a motion strategy combining trajectory control and position control is suggested. Two different examples where this combination is required are shown. When a self-localization error occurs, the starting point of the reference trajectory is far away from the actual position of the mobile robot. In such a case, to avoid re-planning a motion control strategy is implemented such that the robot finds again the starting point of the reference trajectory without crossing large parts of the unknown environment. When an unexpected obstacle appears on the planned path a collision avoidance manoeuvre is initiated. This manoeuvre also combines trajectory control and position control. Experimental results for both cases show the performance of the presented motion strategies. The used trajectory and position controllers are described.
机译:在本文中,我们从RWI描述了自主移动机器人B21的系统架构,重点是实现运动学控制和基础驱动控制的双重控制回路。由于高度精确的驱动控制是理所当然的,因此仅考虑运动模型进行轨迹和位置控制。为了在动态环境中成功地完成要求苛刻的任务,提出了一种结合了轨迹控制和位置控制的运动策略。显示了需要此组合的两个不同示例。当发生自定位错误时,参考轨迹的起点远离移动机器人的实际位置。在这种情况下,为避免重新计划,实施了运动控制策略,以使机器人可以再次找到参考轨迹的起点,而不会越过未知环境的大部分。当意外的障碍物出现在计划的路径上时,将启动防撞机动。该操作还结合了轨迹控制和位置控制。两种情况的实验结果都表明了所提出的运动策略的性能。描述了所使用的轨迹和位置控制器。

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