Numerical simulation of walking for a tensegrity robot driven by the post-buckling of flexible rods
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College of Aerospace Engineering, Chongqing University, Chongqing 40044, P. R. China

Clc Number:

O39

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Supported by the Opening Foundation of the Deep Space Exploration Collaborative Innovation Center(SKTC202107).

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    Abstract:

    Compared with traditional wheeled and footed robots, spherical tensegrity robots offer advantages such as a high strength-to-mass ratio, excellent cushioning performance, and superior terrain adaptability, making them highly promising for deep space exploration. While cable-driven modes are commonly used for tensegrity robots, the excessive number of actuators requires for walking complicates manufacturing and control. This study proposes a novel driving mode based on the post-buckling deformation of flexible rods. Numerical simulations of the walking process of a spherical tensegrity robot are conducted, and the efficiencies of cable-driven and rod-post-buckling-driven modes are compared. The exact solution for the post-buckling deformation of a single rod is obtained using the elliptic integral method. Based on this, a rigid-flexible coupling dynamics simulation model of the spherical tensegrity robot is established in ADAMS, with considering the post-buckling deformation of the rods, as well as contact and friction. The walking gait of the spherical tensegrity robot is determined through joint simulation using ADAMS and Simulink software, employing a greedy search algorithm. A control system model is established in Simulink to facilitate the robot’s walking control to any target points under the rod-post-buckling-driven mode. Compared to the conventional cable-driven mode, the post-buckling-driven mode reduces the number of actuators required for continuous robot walking from 18 to 6 and increases the walking speed by 43.78%. The results provide theoretical guidance for the design and manufacture of new tensegrity robots.

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张幸,蹇开林,张亮,贺子刚.张拉整体机器人杆件后屈曲驱动行走数值仿真[J].重庆大学学报,2024,47(8):90~102

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History
  • Received:March 06,2023
  • Revised:
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  • Online: September 02,2024
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