Dual-parameter Instantaneous Sensing System Based On Triboelectric Nanogenerator

Self-powered multi-parameter sensing technology has significant application prospects in areas such as intelligent industry,smart environmental monitoring,and intelligent agriculture.However,traditional sensors require charging and signal transmission through wireless chip modules before sensing,which cannot reflect the real-time nature of the sensing system.In addition,traditional sensing through TENG can only measure one parameter such as pressure,humidity and so on.Due to the limited sensing parameters,the application range of TENG is restricted.Therefore,this thesis studies the multi-parameter sensing of TENG,builds a sensing system based on resonant frequency and attenuation coefficient,and optimizes it to decouple and obtain dual parameters,which can be applied in single-parameter measurement of film thickness and decoupling of object position and weight with dual parameters.The main research contents and conclusions of this thesis are as follows:(1)By using inductive and resistive sensors as part of the RLC oscillation circuit,a resonant circuit integrated with TENG and electronic switches can convert the output signal of TENG itself into an oscillation signal with sensing information.A model of a self-powered real-time multiparameter sensing system based on a triboelectric nanogenerator was designed and built.The attenuation coefficient and angular frequency formulas were derived,and the dual-parameter sensing law was obtained through Simulink simulation and experiments: the frequency is only affected by the inductance,and the attenuation coefficient is affected by the inductance and resistance.(2)Based on the dual-parameter sensing system,the coupling and decoupling methods of dual parameters were studied,and a MATLAB decoupling interface was designed based on the decoupling method of dual parameters,including calibration interface,decoupling interface,force calibration interface and real-time decoupling interface.(3)Factors affecting the accuracy of the dual-parameter decoupling system were explored,and corresponding optimization methods were given.The effects of the oscilloscope sampling frequency,coil type,and coil Q value on the resonance signal were studied,and the effects of the stability of the resonance signal on the attenuation coefficient and frequency were also studied.After optimization,the maximum error in decoupling distance was reduced by 36%,and the maximum error in decoupling resistance was reduced by 77%.(4)Through the dual-parameter sensing and decoupling optimization system,two different applications were designed,one for single-parameter measurement of film thickness and the other for decoupling of object position and weight.The single-parameter measurement of film thickness can measure the thickness of the film in real time based on its thickness change,with the highest accuracy of 99%.In the decoupling based on the dual parameters of object position and weight,the minimum error of the decoupling object distance coil is 5.88%,and the decoupling weight error is 5.08%.