JOURNAL ARTICLE

Sliding Triboelectric Circular Motion Sensor with Real‐Time Hardware Processing

Abstract

Abstract Since circular motion becomes an important part of automated circulation equipment, a sliding triboelectric circular motion sensor (S‐TCMS) has been demonstrated to monitor the velocity and displacement of a circular motion. The S‐TCMS consists of the stator and slider, which is integrated with automated circular motion equipment for sensing applications. When the slider of PTFE grid slides between the stator's electrodes, four electrical signals are produced in the staggered electrode. The experimental results show that the voltage amplitude remains constant at different sliding velocities, showing good sensing stability. Also, this work proposes a real‐time hardware signal processing method, which converts the original S‐TCMS signal into two standard square wave signals. The method makes the sensing detection of S‐TCMS independent from electrostatic instrument and reduces the occupation of hardware resources. The sensing experimental results show that S‐TCMS can detect the velocity of circular motion with the maximum velocity deviation rate of less than 0.37%, the angular position sensing detection accuracy of 0.42°. The S‐TCMS shows good circular motion‐sensing characteristics after hardware signal processing.

Keywords:
Circular motion SIGNAL (programming language) Acoustics Angular displacement Signal processing Stator Displacement (psychology) Linear motion Voltage Materials science Triboelectric effect Physics Computer science Computer hardware Digital signal processing Electrical engineering Motion (physics) Engineering Artificial intelligence

Metrics

9
Cited By
0.46
FWCI (Field Weighted Citation Impact)
27
Refs
0.57
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Citation History

Topics

Advanced Sensor and Energy Harvesting Materials
Physical Sciences →  Engineering →  Biomedical Engineering
Tactile and Sensory Interactions
Life Sciences →  Neuroscience →  Cognitive Neuroscience
Advanced Fiber Optic Sensors
Physical Sciences →  Engineering →  Electrical and Electronic Engineering

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