气动可变系列弹性执行器。

Hao Zheng, Molei Wu, Xiangrong Shen
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引用次数: 6

摘要

受人体运动控制理论的启发,刚度控制在操作和人机交互任务中非常有效。然而,机器人系统中刚度控制的实现在很大程度上仅限于闭环控制,并且存在多种问题,如有限的频率范围、潜在的不稳定性和缺乏对能源效率的贡献。可变刚度执行器是一种更好的解决方案,但目前的设计复杂、笨重、笨重。本文的方法旨在通过使用气动执行器作为可变系列弹性执行器(VSEA)来解决这些问题,利用工作流体的可压缩性。本文将气动执行器建模为具有可控刚度和平衡点的弹性元件,两者都是两个腔室空气质量的函数。因此,为了在机器人系统中实现刚度控制,可以将期望的刚度/平衡点转换为期望的腔室空气质量,并开发了一种预测压力控制方法来控制阀门开关的时间,以获得期望的空气质量,同时最小化控制动作。实验结果表明,该方法所需硬件成本较低(开关阀代替比例阀),实现过程中产生的控制动作较少,并且利用执行器的固有动力学特性提供了良好的控制性能。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Pneumatic Variable Series Elastic Actuator.

Pneumatic Variable Series Elastic Actuator.

Pneumatic Variable Series Elastic Actuator.

Pneumatic Variable Series Elastic Actuator.

Inspired by human motor control theory, stiffness control is highly effective in manipulation and human-interactive tasks. The implementation of stiffness control in robotic systems, however, has largely been limited to closed-loop control, and suffers from multiple issues such as limited frequency range, potential instability, and lack of contribution to energy efficiency. Variable-stiffness actuator represents a better solution, but the current designs are complex, heavy, and bulky. The approach in this paper seeks to address these issues by using pneumatic actuator as a variable series elastic actuator (VSEA), leveraging the compressibility of the working fluid. In this work, a pneumatic actuator is modeled as an elastic element with controllable stiffness and equilibrium point, both of which are functions of air masses in the two chambers. As such, for the implementation of stiffness control in a robotic system, the desired stiffness/equilibrium point can be converted to the desired chamber air masses, and a predictive pressure control approach is developed to control the timing of valve switching to obtain the desired air mass while minimizing control action. Experimental results showed that the new approach in this paper requires less expensive hardware (on-off valve instead of proportional valve), causes less control action in implementation, and provides good control performance by leveraging the inherent dynamics of the actuator.

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