电阻式自感应可控织物致动器:创造各向异性的新方法

Ayse Feyza Yilmaz, Kadir Ozlem, Fidan Khalilbayli, Mehmet Fatih Celebi, Fatma Kalaoglu, Asli Tuncay Atalay, Gökhan Ince, Ozgur Atalay
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摘要

设计具有软传感功能的先进软机器人用于现实世界的应用仍然具有挑战性,这是因为执行器和传感器的功能需要复杂的集成,需要不同的材料和复杂的程序。本文介绍了一种基于织物的机器人技术,具有 "全织物自感应气动致动器 "和通过简单缝纫技术制作的低成本电阻应变传感器。这种新方法无需额外的应变限制编织物,简化了制造过程。它还能实现生物启发式运动,如弯曲、扭转和蛇形运动。在正气压条件下,对传感器和弯曲致动器的机电性能进行了测试。通过数学建模,精确估算了致动器的传感能力,为压力和位置控制提供了精确反馈。对不同闭环控制器类型(包括开-关和比例积分微分(PID)控制)的有效性进行了评估。此外,通过将传感致动器集成到可穿戴手套中,展示了其在类似手指的软性可穿戴机器人应用中的增强传感能力,从而证明了传感致动器的实际应用。这项研究解决了与设计具有集成传感功能的先进软体机器人相关的挑战,提供了一种基于织物的前景广阔的解决方案,可推动实际应用领域的重大进步。
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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Resistive Self-Sensing Controllable Fabric-Based Actuator: A Novel Approach to Creating Anisotropy

Designing advanced soft robots with soft sensing capabilities for real-world applications remains challenging due to the intricate integration of actuation and sensor capabilities, which require diverse materials and complex procedures. This paper introduces a fabric-based robotic technology featuring an “all textile-based self-sensing pneumatic actuator” and a low-cost resistive strain sensor created through simple sewing techniques. The novel approach eliminates the need for additional strain-limiting woven fabric, simplifying the manufacturing process. It also enables the development of bioinspired motions such as bending, twisting, and snake-like movements. The electromechanical behaviors of the sensor and bending actuator are tested for their performance under positive air pressure. Through mathematical modeling, the actuator's sensing capacity is estimated accurately, providing precise feedback for pressure and position control. Different closed-loop controller types, including On–Off and Proportional Integral Derivative (PID) control, are evaluated for their effectiveness. Furthermore, the practical application of the sensing actuator is demonstrated by integrating it into a wearable glove, showcasing its enhanced sensing capabilities for finger-like soft wearable robotic applications. This research tackles the challenges associated with designing advanced soft robots with integrated sensing capabilities, offering a promising fabric-based solution that can drive significant advancements in real-world applications.

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