首页> 外文会议>IEEE/RSJ International Conference on Intelligent Robots and Systems;IROS 2009 >Multi-model based sideslip angle observer: Accurate control of high-speed mobile robots in off-road conditions
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Multi-model based sideslip angle observer: Accurate control of high-speed mobile robots in off-road conditions

机译:基于多模型的侧滑角观测器:越野条件下的高速移动机器人的精确控制

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Accurate control of high-speed mobile robots moving off-road constitutes a challenging robotic issue: numerous time-varying dynamic phenomena (and first of all, sliding effects) are no longer negligible and must explicitly be taken into account in control design, in order to ensure high accuracy path tracking. Since these phenomena are hardly measurable at a reasonable cost, they have to be estimated on-line. A multi-model based observer is here proposed, in order to supply on-line tire cornering stiffnesses (i.e. grip conditions) as well as mobile robot sideslip angles. It takes part of the complementarity between kinematic and dynamic mobile robot models, in order to significantly decrease the number of required robot inertial parameters (since their values are sometimes difficult to obtain). Full scale experiments demonstrate that the proposed observer can supply reactive and reliable sideslip angle estimates, so that high accuracy path tracking can still be achieved, whatever grip conditions and vehicle velocity.
机译:精确控制越野行走的高速移动机器人构成了一个充满挑战的机器人问题:随时间变化的动态现象(首先是滑动效应)不再可以忽略不计,在控制设计中必须明确考虑这一点,以便以确保高精度的路径跟踪。由于很难以合理的成本来测量这些现象,因此必须对其进行在线估计。在此提出了一种基于多模型的观察器,以便提供在线轮胎的转弯刚度(即抓地力条件)以及移动机器人的侧滑角。为了显着减少所需的机器人惯性参数的数量(因为有时很难获得它们的值),它采用了运动学和动态移动机器人模型之间的互补性。全面实验表明,提出的观察者可以提供反应性和可靠的侧滑角估计,因此无论抓地条件和车辆速度如何,仍可以实现高精度的路径跟踪。

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