论文标题

部分可观测时空混沌系统的无模型预测

What Happens When Pneu-Net Soft Robotic Actuators Get Fatigued?

论文作者

Libby, Jacqueline, Somwanshi, Aniket A., Stancati, Federico, Tyagi, Gayatri, Patel, Aadit, Bhatt, Naigam, Rizzo, JohnRoss, Atashzar, S. Farokh

论文摘要

与僵化的机器人系统相比,软驱动器在康复和辅助机器人的背景下引起了极大的兴趣,以提高安全性和降低成本。在致动过程中,软致动器会经历高水平的变形,这会导致其弹性结构中的微观骨折,这会随着时间的流逝而疲劳,并最终导致宏观的损害并最终导致失败。本文报告了高角度的PENU NET的有限元建模(FEM),以及以高变形速率的重复实验,以研究疲劳在软机器人驱动器中的效果和行为,这将导致偏离理想行为。比较了FEM模型和实验数据,我们表明FEM可以在疲劳之前对执行器的性能进行建模,以达到167度的弯曲角度,精度〜96%。我们还表明,由于重复的高角度弯曲后的疲劳,FEM模型性能将下降到80%。本文的结果客观地强调了疲劳在系统的循环激活中的出现以及与计算FEM模型的偏差。可以在将来的控制器中考虑这种行为,以使系统适应软机器人的时间变化和非自治响应动力学。

Soft actuators have attracted a great deal of interest in the context of rehabilitative and assistive robots for increasing safety and lowering costs as compared to rigid-body robotic systems. During actuation, soft actuators experience high levels of deformation, which can lead to microscale fractures in their elastomeric structure, which fatigues the system over time and eventually leads to macroscale damages and eventually failure. This paper reports finite element modeling (FEM) of pneu-nets at high angles, along with repetitive experimentation at high deformation rates, in order to study the effect and behavior of fatigue in soft robotic actuators, which would result in deviation from the ideal behavior. Comparing the FEM model and experimental data, we show that FEM can model the performance of the actuator before fatigue to a bending angle of 167 degrees with ~96% accuracy. We also show that the FEM model performance will drop to 80% due to fatigue after repetitive high-angle bending. The results of this paper objectively highlight the emergence of fatigue over cyclic activation of the system and the resulting deviation from the computational FEM model. Such behavior can be considered in future controllers to adapt the system with time-variable and non-autonomous response dynamics of soft robots.

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