LC Passive Wireless Sensor System Based on Two Switches for Detection of Triple Parameters.

inductive coupling mechanical switches multifunction passive wireless sensing system

Journal

Sensors (Basel, Switzerland)
ISSN: 1424-8220
Titre abrégé: Sensors (Basel)
Pays: Switzerland
ID NLM: 101204366

Informations de publication

Date de publication:
14 Apr 2022
Historique:
received: 03 03 2022
revised: 05 04 2022
accepted: 12 04 2022
entrez: 23 4 2022
pubmed: 24 4 2022
medline: 27 4 2022
Statut: epublish

Résumé

This paper presents the LC-type passive wireless sensing system for the simultaneous and independent detection of triple parameters, featuring three different capacitive sensors controlled by two mechanical switches. The sensor coil was connected with three different capacitors in parallel and two mechanical switches were in series between every two capacitors, which made the whole system have three resonant frequencies. The readout coil was magnetically coupled with the sensor coil to interrogate the sensor wirelessly. The circuit was simulated advanced design system (ADS) software, and the LC sensor system was mathematically analyzed by MATLAB. Results showed that the proposed LC sensing system could test three different capacitive sensors by detecting three different resonant frequencies. The sensitivity of sensors could be determined by the capacitance calculated from the detected resonant frequencies, and the resolution of capacitance was 0.1 PF and 0.2 PF when using the proposed sensor system in practical applications. To validate the proposed scheme, a PCB inductor and three variable capacitors were constructed with two mechanical switches to realize the desired system. Experimental results closely verified the simulation outputs.

Identifiants

pubmed: 35459008
pii: s22083024
doi: 10.3390/s22083024
pmc: PMC9025355
pii:
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Références

Sensors (Basel). 2009;9(6):4728-50
pubmed: 22408551
Nat Commun. 2012 Mar 27;3:763
pubmed: 22453836
Nat Commun. 2014 Oct 06;5:5028
pubmed: 25284074

Auteurs

Muhammad Mustafa (M)

Micro/Nano Systems Integration R&D Centre, School of Microelectronics, University of Science and Technology of China, Hefei 230026, China.

Mian Rizwan (M)

School of Electrical Engineering, Southeast University, Nanjing 210096, China.

Muhammad Kashif (M)

School of Electrical Engineering, Southeast University, Nanjing 210096, China.

Tahir Khan (T)

School of Electrical Engineering, Zhejiang University, Hangzhou 310027, China.

Muhammad Waseem (M)

School of Electrical Engineering, Zhejiang University, Hangzhou 310027, China.

Andres Annuk (A)

Chair of Energy Application Engineering, Institute of Forestry and Engineering, Estonian University of Life Sciences, 51006 Tartu, Estonia.

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Classifications MeSH