人体近距离运动对静电薄膜致动器的交互式驱动

IF 1.5 Q3 INSTRUMENTS & INSTRUMENTATION
Akira Okuno, Shunsuke Yoshimoto, Akio Yamamoto
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引用次数: 0

摘要

本文提出了一种电荷感应静电薄膜致动器的内置电容式接近感应方法。这种致动器由作为定子和滑块的两片薄片组成。定子是一块绝缘薄片,上面有许多电极条,而滑块是一块介电薄片,表面有轻微的导电性。通过在定子电极上施加致动电压,置于定子上的滑块就会受到静电力的驱动。这项研究通过将基于谐振的电容测量电路集成到驱动电路中,实现了使用同一电极同时驱动和近距离感应。研究调查了滑块对传感性能的影响,证实了同时传感和驱动的可行性。实施的系统实现了交互式驱动,可根据人手的接近距离改变驱动速度。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Interactive driving of electrostatic film actuator by proximity motion of human body
A built-in capacitive proximity sensing method for a charge-induction electrostatic film actuator is proposed. This actuator consists of two thin sheets that function as a stator and a slider. A stator is an insulating sheet with many strips of electrodes in it, whereas a slider is a dielectric sheet that has slight conductivity on its surface. By applying actuation voltage on stator electrodes, the slider that is placed on the stator is driven by electrostatic force. This research realized the simultaneous actuation and proximity sensing using the same electrodes by integrating a resonance-based capacitance measurement circuit into a driving circuit. The study investigated the impact of having a slider on sensing performance, confirming the feasibility of simultaneous sensing and driving. The implemented system achieved an interactive actuation that changed driving velocity according to the proximity distance of the human hand.
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来源期刊
ROBOMECH Journal
ROBOMECH Journal Mathematics-Control and Optimization
CiteScore
3.20
自引率
7.10%
发文量
21
审稿时长
13 weeks
期刊介绍: ROBOMECH Journal focuses on advanced technologies and practical applications in the field of Robotics and Mechatronics. This field is driven by the steadily growing research, development and consumer demand for robots and systems. Advanced robots have been working in medical and hazardous environments, such as space and the deep sea as well as in the manufacturing environment. The scope of the journal includes but is not limited to: 1. Modeling and design 2. System integration 3. Actuators and sensors 4. Intelligent control 5. Artificial intelligence 6. Machine learning 7. Robotics 8. Manufacturing 9. Motion control 10. Vibration and noise control 11. Micro/nano devices and optoelectronics systems 12. Automotive systems 13. Applications for extreme and/or hazardous environments 14. Other applications
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