Wireless Online Rotation\nMonitoring System for UAV Motors Based on a Soft-Contact Triboelectric\nNanogenerator

Real-time monitoring of UAV motor speed is crucial for\nenhancing control performance and ensuring flight safety. However,\nthis task faces challenges such as difficult sensor installation and\nhigh costs. This study introduces a wireless rotational speed sensing\nsystem based on a UAV-rotary triboelectric nanogenerator (UR-TENG).\nBy employing a carefully designed structure with soft contact and\na freestanding-triboelectric-layer mode, UR-TENG exhibits characteristics\nlike low friction, affordability, ease of production, and self-powering\ncapability. This eliminates the need for an external power source\nand addresses the complexity of installation in the limited space\nof UAVs. Experimental findings demonstrate that UR-TENG possesses\nhigh sensitivity and stability, maintaining the structural integrity\nof the UAV. The goodness of fit is notably high at 0.99959, with a\nmaximum error rate of only 0.014 within a range of 6270 rpm. Moreover,\nUR-TENG integrates with a microcontroller unit (MCU) and external\ncircuitry to form a monitoring system. This system transmits electrical\nsignals to a PC via a Wi-Fi module, facilitating real-time rotational\nspeed sensing and anomaly detection. Finally, a practical application\ndemonstration on a UAV validates the adaptability of UR-TENG to complex\noperational environments. This study presents a promising approach\nfor online rotation monitoring of UAV motors, with potential for commercialization,\nand introduces new avenues for TENG application in UAV technology.

Publication Details

Journal
Figshare
Published
2024-08-20
DOI
https://doi.org/10.1021/acsami.4c07890.s001
Primary Topic
Advanced Sensor and Energy Harvesting Materials
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Wireless Online Rotation\nMonitoring System for UAV Motors Based on a Soft-Contact Triboelectric\nNanogenerator

Figshare
Advanced Sensor and Energy Harvesting Materials
article

Wireless Online Rotation\nMonitoring System for UAV Motors Based on a Soft-Contact Triboelectric\nNanogenerator

article en

Abstract

Real-time monitoring of UAV motor speed is crucial for\nenhancing control performance and ensuring flight safety. However,\nthis task faces challenges such as difficult sensor installation and\nhigh costs. This study introduces a wireless rotational speed sensing\nsystem based on a UAV-rotary triboelectric nanogenerator (UR-TENG).\nBy employing a carefully designed structure with soft contact and\na freestanding-triboelectric-layer mode, UR-TENG exhibits characteristics\nlike low friction, affordability, ease of production, and self-powering\ncapability. This eliminates the need for an external power source\nand addresses the complexity of installation in the limited space\nof UAVs. Experimental findings demonstrate that UR-TENG possesses\nhigh sensitivity and stability, maintaining the structural integrity\nof the UAV. The goodness of fit is notably high at 0.99959, with a\nmaximum error rate of only 0.014 within a range of 6270 rpm. Moreover,\nUR-TENG integrates with a microcontroller unit (MCU) and external\ncircuitry to form a monitoring system. This system transmits electrical\nsignals to a PC via a Wi-Fi module, facilitating real-time rotational\nspeed sensing and anomaly detection. Finally, a practical application\ndemonstration on a UAV validates the adaptability of UR-TENG to complex\noperational environments. This study presents a promising approach\nfor online rotation monitoring of UAV motors, with potential for commercialization,\nand introduces new avenues for TENG application in UAV technology.

Figshare
Affordable and clean energy
Openalex Percentile: Top 73%
Advanced Sensor and Energy Harvesting Materials
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Wireless Online Rotation\nMonitoring System for UAV Motors Based on a Soft-Contact Triboelectric\nNanogenerator · Figshare (2024) | TGRS Research Map | TGRS