首页> 外文会议>IEEE/RSJ International Conference on Intelligent Robots and Systems;IROS 2009 >Real-time estimation algorithm for the center of mass of a bipedal robot with flexible inverted pendulum model
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Real-time estimation algorithm for the center of mass of a bipedal robot with flexible inverted pendulum model

机译:柔性倒立摆模型的双足机器人质心实时估计算法

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A closed-loop observer to extract the center of mass (CoM) of a bipedal robot is suggested. Comparing with the simple conversion equation of using just joint angle measurements, it enables to get more reliable estimates by using both joint angle measurements and F/T sensor outputs at the ankle joint. First, a nonlinear type observer is constructed in the extended Kalman filter framework to estimate the flexible rotational motion of biped. It is based on the inverted pendulum model with flexible beam which is to simply address the flexible behavior of a biped, specifically in the single support phase. Then, the predicted estimates of CoM by the flexible motion observer are combined with the outputs of the CoM conversion equation and the final estimates will be determined according to the weighting value which penalizes the flexible motion model and the CoM conversion equation. Simulation results are followed to show the effectiveness of the proposed scheme.
机译:建议使用闭环观察器提取双足机器人的质心(CoM)。与仅使用关节角度测量值的简单转换方程相比,它可以通过同时使用关节角度测量值和踝关节处的F / T传感器输出来获得更可靠的估计。首先,在扩展的卡尔曼滤波器框架中构造非线性类型的观察器,以估计两足动物的灵活旋转运动。它基于带有柔性梁的倒立摆模型,该模型可以简单地解决两足动物的柔性行为,特别是在单个支撑阶段。然后,将柔性运动观测器对CoM的预测估计值与CoM转换方程的输出进行组合,并根据惩罚柔性运动模型和CoM转换方程的加权值来确定最终估计值。仿真结果表明了该方案的有效性。

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