首页> 外文会议>2014 13th International Conference on Control Automation Robotics amp; Vision >Continuous cyclic stepping on 3D point-foot biped robots via constant time to velocity reversal
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Continuous cyclic stepping on 3D point-foot biped robots via constant time to velocity reversal

机译:通过恒定的时间到速度的反转,在3D点足两足机器人上进行连续循环步进

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This paper presents a control scheme for ensuring that a 3D, under-actuated, point-foot biped robot remains balanced while walking. It achieves this by observing the center of mass (COM) position error relative to a reference path and re-planning a new reference trajectory to remove this error at every step. The Prismatic Inverted Pendulum Model (PIPM) is used to simplify behavioral analysis of the robot. We use phase space techniques to plan the COM trajectories and foot placement. While obtaining a stable path using this simplified model is easy, when applied to a real robot, there will usually be deviation from the expected path due to modeling inaccuracies. Although fully-actuated robots can reduce the deviation with relatively simple feedback control loops, when working with under-actuated robots, it is challenging to design such a feedback control loop. Our approach is based on continuous re-planning. By planning the path of the next step based on the observed initial error, we can find the proper landing location of each step. For each step we allocate sufficient time to avoid disturbances from the moment induced by the moving leg, which is not modeled in the PIPM. Our control scheme relies on the PIPM instead of the Linear Inverted Pendulum Model (LIPM) to enable non-planar COM motion, which is essential for rough terrain locomotion. We show simulation results that include full multi-body dynamics, friction, and ground reaction forces.
机译:本文提出了一种控制方案,以确保3D,动作不足,点足Biped机器人在行走时保持平衡。它通过观察相对于参考路径的质心(COM)位置误差并重新规划新的参考轨迹来消除此误差,从而实现了这一目标。棱镜倒立摆模型(PIPM)用于简化机器人的行为分析。我们使用相空间技术来计划COM轨迹和脚的放置。虽然使用此简化模型获得稳定的路径很容易,但是当应用于实际机器人时,由于建模的不正确性,通常会与预期路径产生偏差。尽管全驱动机器人可以通过相对简单的反馈控制环来减小偏差,但是当与驱动不足的机器人一起工作时,设计这样的反馈控制环是一项挑战。我们的方法基于持续的重新计划。通过根据观察到的初始误差规划下一步的路径,我们可以找到每一步的正确着陆位置。对于每一步,我们分配足够的时间来避免运动腿引起的力矩造成的干扰,这在PIPM中并未建模。我们的控制方案依靠PIPM而非线性倒立摆模型(LIPM)来实现非平面COM运动,这对于崎terrain的地形运动至关重要。我们显示的模拟结果包括完整的多体动力学,摩擦力和地面反作用力。

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