受超灵敏狭缝机械感受器启发的本体感觉机械传感器

Kejun Wang, Lei Zhang, Yuecheng Gui, Cheng Fan, Tao Sun, Lining Sun, Qian Wang, Junqiu Zhang, Zhiwu Han
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引用次数: 0

摘要

内部机械传感器作为本体感觉系统的核心部件,为智能设备的自适应电机控制、机械故障诊断和加工状态监测提供重要的机械信息。然而,开发一种可以广泛应用的复杂机械传感器结构是显著提高内部机械传感器检测性能的迫切需要。无巧不成书的是,在自然界中,蜘蛛、蝎子等蛛形纲动物的优化微尺度狭缝被巧妙地用作内部机械感受器的机械感觉结构,以有效地检测由自身运动和外部机械刺激引起的不可避免的内部机械反馈。基于生物狭缝的机械传感器提供了一种有吸引力的仿生策略,利用可控狭缝作为感觉结构来提高内部机械传感器的感知性能。本文通过实验和理论分析,探讨了狭缝式机械传感器的结构-变形-性能耦合关系。通过模拟狭缝和覆盖在狭缝尾部的超薄角质膜的变形特性,研制了一种基于人工狭缝的机械传感器。这种仿生机械传感器在机械稳定性、响应时间和对机械信号的灵敏度方面表现出优异的性能。实际应用的研究突出了基于狭缝的机械感受器独特的基本“设计”原则在提高智能工程设备本体感觉能力方面的重要性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Mechano‐Sensor for Proprioception Inspired by Ultrasensitive Slit‐Based Mechanosensilla
Internal mechanosensors, as the core component of a proprioceptive system, provide vital mechanical information from intelligent devices for adaptive motor control, mechanical fault diagnosis, and machining condition monitoring. However, developing a sophisticated mechanosensory structure that can be widely used is highly desirable to significantly improve the detection performance of internal mechanosensors. Coincidentally, in nature, optimized microscale slits of arachnids (e.g., scorpions and spiders) are ingeniously used as a mechanosensory structure for internal mechanosensilla to efficiently detect the inevitable internal mechanical feedbacks caused by self‐motion and external mechanical stimuli. Biological slit‐based mechano‐sensilla provide an attractive bio‐inspired strategy to use the controllable slit as the sensory structure to improve the perceptual performance of internal mechanosensors. In this study, the structure‐deformation‐performance coupling relationship of slit‐based mechano‐sensilla is explored through experiment and theoretical analysis. An artificial slit‐based mechanosensor is developed by mimicking the combined deformation properties of the slit and the ultrathin cuticular membrane covering the slit tail. This bio‐inspired mechanosensor shows excellent performance in terms of mechanical stability, response time, and sensitivity to mechanical signals. The research on a practical application highlights the importance of the unique basic “design” principles of the slit‐based mechano‐sensilla in improving the proprioceptive capability of smart engineering devices.
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