一种四足机器人IMU/关节编码器惯性组合导航方法
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面向高原高寒的智能四足机器人关键技术研究及应用(2024ZDZX0004)


A Method of Inertial Integrated Navigation Based on Quadruped Robot IMU/Joint Encoder
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    摘要:

    针对野外丛林、城市楼宇等复杂环境下四足机器人卫星定位信息失效或不稳定的问题,提出一种四足机器人IMU/关节编码器惯性组合导航方法。采用四足机器人固定安装的IMU与四足机器人运动过程中关节编码器实时反馈的关节转动角度信息,计算出四足机器人行驶速度,以IMU解算出的速度和关节转动角度信息计算出的速度差作为卡尔曼滤波器的观测量,建立卡尔曼滤波方程,估算IMU解算的导航误差,并进行实时反馈修正,以提升四足机器人组合导航精度。该方法充分利用四足机器人必备的传感器,无需新增导航硬件。仿真结果表明:在设定仿真条件下,该组合导航算法可以实现四足机器人高精度组合导航。

    Abstract:

    Aiming at the problem of satellite positioning information failure or instability of quadruped robot in complex environments such as wild jungle and urban buildings, an IMU/joint encoder inertial integrated navigation method for quadruped robot is proposed. An IMU fixedly installed on the quadruped robot and joint rotation angle information fed back by a joint encoder in real time in the motion process of the quadruped robot are adopted to calculate the running speed of the quadruped robot, the difference between the speed calculated by the IMU and the speed calculated by the joint rotation angle information is used as the observed quantity of a Kalman filter, a Kalman filtering equation is established, the navigation error calculated by the IMU is estimated, And perform real-time feedback correction to improve that accuracy of the integrated navigation of the quadruped robot. The method makes full use of the necessary sensors of the quadruped robot, and does not need to add new navigation hardware. The simulation results show that the integrated navigation algorithm can realize the high precision integrated navigation of quadruped robot under the set simulation conditions.

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周振华.一种四足机器人IMU/关节编码器惯性组合导航方法[J].,2025,44(06).

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  • 收稿日期:2024-08-25
  • 最后修改日期:2024-09-28
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  • 在线发布日期: 2025-07-04
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