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Research Article

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

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.

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Graphical Abstract

In this work, a continuous charge supplement (CCS) strategy and an adaptive signal processing (ASP) method are proposed to improve the lifetime and robustness of triboelectric sensor. A signal conditioning circuit for impedance matching and analog-to-digital conversion is designed to realize real-time monitoring of multiple motion parameters. It has potential application prospects in automation industries such as smart factories and unmanned warehousing.

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 sensorcontinuous charge supplementadaptive signal processingdurability and stabilitymultiple motion parameters monitoring

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Nano Research
Volume 16 Issue 7,
July 2023
Pages 10263-10271
DOI: 10.1007/s12274-023-5715-x
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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Received: 16 February 2023
Revised: 17 March 2023
Accepted: 05 April 2023
Published: 03 June 2023
© Tsinghua University Press 2023
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