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Robust Control of Semi-passive Biped Dynamic Locomotion based on a Discrete Control Lyapunov Function

机译:基于离散控制Lyapunov函数的半无源Biped动态运动的鲁棒控制

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This paper focuses on robust control of a simplest passive model, which is established on a DCLF (discrete control Lyapunov function) -based control system, and presents gait transition method based on the study of purely passive walker. Firstly, the DCLF is introduced to stabilize walking process between steps exponentially by modulating the length of next step. Next, the swing leg trajectory from mid-stance position to foot-strike can be planned. Then the control law is calculated to resist external disturbance. Besides, an impulse is added just before foot-strike to realize a periodic walking pattern on flat or uphill ground. With walking terrain varying, the robot can transit to an adaptive walking gait in a few steps. With different push or pull disturbances acting on hip joint and the robot gait transiting on a continuously slope-changing downhill, the effectiveness of the presented DCLF-based method is verified using simulation experiments. The ability to walk on a changing environment is also presented by simulation results. The insights of this paper can help to develop a robust control method and adaptive walking of dynamic passive locomotion robots.
机译:本文重点介绍了对最简单的被动模型的鲁棒控制,该模型在DCLF(离散控制Lyapunov函数)基础的控制系统上建立,并基于纯无源步行者的研究提供了步态转换方法。首先,通过调制下一步骤的长度来引入DCLF以稳定步骤之间的步行过程。接下来,可以计划从中间立场位置到脚部的摆动腿轨迹。然后计算控制法以抵抗外部干扰。此外,在脚踏之前加入冲动,以在平坦或上坡地面实现周期性的行走模式。随着走动地形变化,机器人可以在几步中过境到自适应行走步态。通过不同的推动或拉动扰动作用于髋关节和机器人步态在不断变化的下坡上过滤,使用模拟实验验证所呈现的DCLF方法的有效性。通过仿真结果介绍了在改变环境中行走的能力。本文的见解可以帮助开发强大的控制方法和适应性的动态被动运动机器人的行走。

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