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Stabilization of the passive walking dynamics of the compass-gait biped robot by developing the analytical expression of the controlled Poincare map

机译:通过开发受控庞纳罗地图的分析表达,稳定指南针 - 步态的被动行走动力学

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The compass-gait biped robot is a two-DoF legged mechanical system that has been known by its passive dynamic walking. This kind of passive biped robot is modeled by an impulsive hybrid nonlinear system that exhibits complex behaviors. This paper is concerned with the stabilization of the passive dynamic walking of the compass-gait biped robot by designing an analytical expression of the controlled Poincare map. The suggested analytical method starts with the time-piecewise linearization of the impulsive system augmented with the controller, around a desired one-periodic passive hybrid limit cycle. By virtue of the first-order Taylor series, we design an explicit expression of the controlled Poincare map. We present also a simplified expression of the controlled Poincare map having a reduced dimension. In order to accomplish our goal concerned with the stabilization of the passive walking dynamics of the compass-gait biped robot, we develop first the linearized Poincare map around the period-1 fixed point of the Poincare map and we adopt a state-feedback control law to stabilize it. Furthermore, in order to enhance the effectiveness and robustness of the stabilization process, we adopt an LMI-based optimization approach by considering the controlled Poincare map to design the feedback gain. In the end of this work, we provide some numerical and graphical simulation results, to show the validity of the designed control law by means of the controlled Poincare map in the stabilization of the passive dynamic walking of the compass-gait biped robot.
机译:Compass-Gait Biped Robot是一种双自由度的腿机械系统,其被动动态行走是已知的。这种被动抖动机器人由脉冲混合非线性系统建模,其呈现复杂的行为。本文涉及通过设计受控庞纳罗地图的分析表达来稳定指南针 - 步态Biped机器人的被动动态行走。建议的分析方法从控制器增强的冲动系统的时间分段线性化开始,围绕所需的单周期被动混合限制循环。凭借一阶泰勒系列,我们设计了对受控庞纳罗地图的明确表达。我们还存在具有减少尺寸的受控蓬松地图的简化表达。为了实现我们的目标涉及稳定罗盘步态的被动行走动态,我们首先在庞纳罗地图的第1期固定点周围开发线性化的庞德地图,我们采用了国家反馈控制法稳定它。此外,为了提高稳定过程的有效性和稳健性,我们通过考虑受控庞的地图来设计基于LMI的优化方法来设计反馈增益。在这项工作结束时,我们提供了一些数值和图形模拟结果,通过控制庞的庞加拉德地图展示了设计的控制法的有效性,以稳定的罗盘 - 步态Biped机器人的被动动态行走。

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