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Nano Research 2023, 16(7): 10263-10271 https://doi.org/10.1007/s12274-023-5715-x
Research Article | Issue | Published: 03 June 2023

Enhanced performance of triboelectric mechanical motion sensor via continuous charge supplement and adaptive signal processing

Show Author's Information Zitang Yuan1,§,  Xiaosong Zhang1,§,  Hengyu Li1,§,  Ping Shen3,  Jianming Wen2( ),  Zhong Lin Wang1,4( ),  Tinghai Cheng1( )
Beijing Institute of Nanoenergy and Nanosystems, Chinese Academy of Sciences, Beijing 101400, China
The Institute of Precision Machinery and Smart Structure, Zhejiang Normal University, Jinhua 321004, China
State Key Laboratory of Internet of Things for Smart City and Department of Civil and Environmental Engineering, University of Macau, Macao 999078, China
Georgia Institute of Technology, Atlanta, GA 30332-0245, USA

§ Zitang Yuan, Xiaosong Zhang, and Hengyu Li contributed equally to this work.

Keywords:
triboelectric mechanical motion sensor, continuous charge supplement, adaptive signal processing, durability and stability, multiple motion parameters monitoring
Topics:
Nanosensors
Cite this article:
Yuan Z, Zhang X, Li H, et al. Enhanced performance of triboelectric mechanical motion sensor via continuous charge supplement and adaptive signal processing. Nano Research, 2023, 16(7): 10263-10271. https://doi.org/10.1007/s12274-023-5715-x
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Abstract Full text Electronic supplementary material About this article

The development of automation industry is inseparable from the progress of sensing technology. As a promising self-powered sensing technology, the durability and stability of triboelectric sensor (TES) have always been inevitable challenges. Herein, a continuous charge supplement (CCS) strategy and an adaptive signal processing (ASP) method are proposed to improve the lifetime and robustness of TES. The CCS uses low friction brushes to increase the surface charge density of the dielectric, ensuring the reliability of sensing. A triboelectric mechanical motion sensor (TMMS) with CCS is designed, and its electrical signal is hardly attenuated after 1.5 million cycles after reasonable parameter optimization, which is unprecedented in linear TESs. After that, the dynamic characteristics of the CCS-TMMS are analyzed with error rates of less than 1% and 2% for displacement and velocity, respectively, and a signal-to-noise ratio of more than 35 dB. Also, the ASP used a signal conditioning circuit for impedance matching and analog-to-digital conversion to achieve a stable output of digital signals, while the integrated design and manufacture of each hardware module is achieved. Finally, an intelligent logistics transmission system (ILTS) capable of wirelessly monitoring multiple motion parameters is developed. This work is expected to contribute to automation industries such as smart factories and unmanned warehousing.


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Electronic supplementary material
About this article

Enhanced performance of triboelectric mechanical motion sensor via continuous charge supplement and adaptive signal processing

Show Author's information Zitang Yuan1,§, Xiaosong Zhang1,§, Hengyu Li1,§, Ping Shen3, Jianming Wen2( ), Zhong Lin Wang1,4( ), Tinghai Cheng1( )
Beijing Institute of Nanoenergy and Nanosystems, Chinese Academy of Sciences, Beijing 101400, China
The Institute of Precision Machinery and Smart Structure, Zhejiang Normal University, Jinhua 321004, China
State Key Laboratory of Internet of Things for Smart City and Department of Civil and Environmental Engineering, University of Macau, Macao 999078, China
Georgia Institute of Technology, Atlanta, GA 30332-0245, USA

§ Zitang Yuan, Xiaosong Zhang, and Hengyu Li contributed equally to this work.

Abstract

The development of automation industry is inseparable from the progress of sensing technology. As a promising self-powered sensing technology, the durability and stability of triboelectric sensor (TES) have always been inevitable challenges. Herein, a continuous charge supplement (CCS) strategy and an adaptive signal processing (ASP) method are proposed to improve the lifetime and robustness of TES. The CCS uses low friction brushes to increase the surface charge density of the dielectric, ensuring the reliability of sensing. A triboelectric mechanical motion sensor (TMMS) with CCS is designed, and its electrical signal is hardly attenuated after 1.5 million cycles after reasonable parameter optimization, which is unprecedented in linear TESs. After that, the dynamic characteristics of the CCS-TMMS are analyzed with error rates of less than 1% and 2% for displacement and velocity, respectively, and a signal-to-noise ratio of more than 35 dB. Also, the ASP used a signal conditioning circuit for impedance matching and analog-to-digital conversion to achieve a stable output of digital signals, while the integrated design and manufacture of each hardware module is achieved. Finally, an intelligent logistics transmission system (ILTS) capable of wirelessly monitoring multiple motion parameters is developed. This work is expected to contribute to automation industries such as smart factories and unmanned warehousing.

Keywords: triboelectric mechanical motion sensor, continuous charge supplement, adaptive signal processing, durability and stability, multiple motion parameters monitoring

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Publication history
Copyright
Acknowledgements

Publication history

Received: 16 February 2023
Revised: 17 March 2023
Accepted: 05 April 2023
Published: 03 June 2023
Issue date: July 2023

Copyright

© Tsinghua University Press 2023

Acknowledgements

Acknowledgements

The authors are grateful for the support received from the National Key R&D Project from the Minister of Science and Technology (Nos. 2021YFA1201601 and 2021YFA1201604) and the Open Research Project Programme of the State Key Laboratory of Internet of Things for Smart City (University of Macau) (No. SKL-IoTSC (UM)-2021-2023/ORPF/A17/2022).

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