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自感应气动压缩执行器

Self-Sensing Pneumatic Compressing Actuator.

作者信息

Lin Nan, Zheng Hui, Li Yuxuan, Wang Ruolin, Chen Xiaoping, Zhang Xinming

机构信息

School of Data Science, University of Science and Technology of China, Hefei, China.

School of Computer Science and Technology, University of Science and Technology of China, Hefei, China.

出版信息

Front Neurorobot. 2020 Dec 11;14:572856. doi: 10.3389/fnbot.2020.572856. eCollection 2020.

Abstract

Using soft pneumatic actuator is a feasible solution in the complex unstructured environment, owing to their inherent compliance, light weight, and safety. However, due to the limitations of soft actuators' materials and structures, they fall short of motion accuracy and load capacity, or need large-size, bulky compressors. Meanwhile, in order to gain better control, it is essential for them to sense the environments as well. This leads to high-price sensors or a complicated manufacture technique. Here, a self-sensing vacuum soft actuation structure is proposed, aiming at acquiring good balance among precision, output force, and actuation pressure. The actuator mainly comprises a flexible membrane and a compression spring. When actuated, the flexible membrane outside the actuator compresses the internal spring skeleton, realizing large contractile motion in axial direction. Its built-in force sensor can indirectly measure the absolute displacement of the actuator with certain accuracy (about 5% F.S.). Besides, it does not require high actuation pressure to generate enough output force. The actuator is quite easy to manufacture with low cost, and there are a variety of materials to choose from. We established quasi-static models for actuators built of two different kinds of membrane materials, and tested their accuracy and output force. In addition, to break through the limits of vacuum actuation, a method of positive-negative pressure combined actuation has been proposed, which lowers the requirements for air source equipments, increases actuation pressure, and reduces potential safety threats at the same time. This kind of soft actuators can also effectively resist and detect impacts. The design of a two-finger dexterous robot hand and robot joint based on this soft actuator illustrates its broad application prospects in the fields of mobile robots, wearable devices, and human-robot interaction.

摘要

由于其固有的柔顺性、轻质和安全性,在复杂的非结构化环境中使用软气动执行器是一种可行的解决方案。然而,由于软执行器材料和结构的限制,它们在运动精度和负载能力方面存在不足,或者需要大型、笨重的压缩机。同时,为了获得更好的控制,它们也必须感知环境。这导致了高价传感器或复杂的制造技术。在此,提出了一种自感知真空软驱动结构,旨在在精度、输出力和驱动压力之间取得良好平衡。该执行器主要由柔性膜和压缩弹簧组成。当被驱动时,执行器外部的柔性膜压缩内部弹簧骨架,在轴向上实现大的收缩运动。其内置的力传感器可以以一定精度(约5%F.S.)间接测量执行器的绝对位移。此外,它不需要高驱动压力就能产生足够的输出力。该执行器制造非常容易,成本低,并且有多种材料可供选择。我们为两种不同膜材料制成的执行器建立了准静态模型,并测试了它们的精度和输出力。此外,为了突破真空驱动的限制,提出了一种正负压力组合驱动方法,该方法降低了对气源设备的要求,增加了驱动压力,同时减少了潜在的安全威胁。这种软执行器还能有效抵抗和检测冲击。基于这种软执行器设计的双指灵巧机器人手和机器人关节展示了其在移动机器人、可穿戴设备和人机交互领域的广阔应用前景。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5435/7759537/1050c295bc51/fnbot-14-572856-g0001.jpg

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