Application of Noncircular Pulleys to Straight-Fiber-Type Pneumatic Artificial Muscle Manipulator

Rikuto Tanaka, Teppei Abe, H. Tomori
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Abstract

This study proposes a method for improving the performance of a manipulator driven by pneumatic artificial muscles. Although the straight-fiber-type pneumatic artificial muscle (SF-PAM), a kind of pneumatic artificial muscle, is lightweight and exhibits high contractile force and contraction percentage, its contractile force decreases as contraction increases. To compensate for the decrease in the SF-PAM contractile force, we developed a noncircular pulley and integrated it into the manipulator driven by a wire pulley mechanism. Because this noncircular pulley is designed in accordance with the output characteristics of SF-PAM, the contraction force of SF-PAM can be converted into manipulator torque efficiently. In addition, the radius of the noncircular pulley is expressed as a function, which can be incorporated into a numerical model for the manipulator’s controller. Subsequently, simulation and experimentation to verify the proposed method showed that, when using the same actuator, the manipulator with a noncircular pulley can optimize both output torque and range of motion better than that with a conventional circular pulley. However, a few differences between simulation results and experimental results were observed. These differences were caused by SF-PAM stretching which was not considered in the model. This drawback can be overcome by improving the SF-PAM and the numerical model in future studies. We believe that this study will provide designers of robots that coexist with humans with a high degree of freedom.
非圆滑轮在直纤维型气动人工肌肉机械手中的应用
本研究提出了一种改进气动人工肌肉驱动机械臂性能的方法。直纤维型气动人工肌肉(SF-PAM)是气动人工肌肉的一种,虽然重量轻,收缩力和收缩率高,但收缩力随收缩量的增加而减小。为了弥补SF-PAM收缩力的减小,我们开发了一种非圆滑轮,并将其集成到由钢丝滑轮机构驱动的机械手中。由于该非圆皮带轮是根据SF-PAM的输出特性设计的,因此SF-PAM的收缩力可以有效地转化为机械手扭矩。此外,将非圆滑轮的半径表示为函数,可将其纳入机械手控制器的数值模型。通过仿真和实验验证了所提方法的正确性,结果表明,在相同作动器的情况下,采用非圆皮带轮的机械手比采用常规圆皮带轮的机械手能更好地优化输出力矩和运动范围。然而,模拟结果与实验结果之间存在一些差异。这些差异是由SF-PAM拉伸引起的,模型中没有考虑到这一点。在未来的研究中,可以通过改进SF-PAM和数值模型来克服这一缺点。我们相信,这项研究将为设计与人类高度自由共存的机器人提供帮助。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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