An Identification Method for Rotor Direction Based on Charge Induction.

charge induction correlation method high-input impedance sensor rotor direction identification

Journal

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

Informations de publication

Date de publication:
16 Feb 2021
Historique:
received: 13 01 2021
revised: 10 02 2021
accepted: 12 02 2021
entrez: 6 3 2021
pubmed: 7 3 2021
medline: 7 3 2021
Statut: epublish

Résumé

The detection of rotor motion is always key to ensure the normal operation of industrial sewing machines. This paper presents a novel method for rotor detection based on charge induction mechanism, which is suitable for industrial environments with high noise and electromagnetic radiation and is easy to install. Firstly, the principle of measuring rotor rotation based on charge induction is given. Then, the detection model of rotor direction identification based on two detection electrodes is established. Finally, details are given of the detection circuit design and the experiment that was carried out. The results show that the proposed method can effectively identify the noncontact rotor direction with and without occlusion, indicating that the method has excellent anti-interference capability. The accuracy of the method can be further improved by increasing the sampling rate and sampling points of the system.

Identifiants

pubmed: 33669417
pii: s21041380
doi: 10.3390/s21041380
pmc: PMC7920444
pii:
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Subventions

Organisme : National Key Research and Development Program of China
ID : 2016YFA0202102
Organisme : National Nature Science Foundation Program of China
ID : 92059204
Organisme : National Nature Science Foundation Program of China
ID : 91850204

Références

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pubmed: 27607300
Med Biol Eng Comput. 2018 Aug;56(8):1343-1355
pubmed: 29308545
Sensors (Basel). 2019 Jun 04;19(11):
pubmed: 31167351

Auteurs

Ronghui Chang (R)

School of Electronic Science and Engineering, Nanjing University, Nanjing 210023, China.

Limin Zhang (L)

School of Electronic Science and Engineering, Nanjing University, Nanjing 210023, China.

Jiaqun Lin (J)

School of Electronic Science and Engineering, Nanjing University, Nanjing 210023, China.

Feng Yan (F)

School of Electronic Science and Engineering, Nanjing University, Nanjing 210023, China.

Yong Chen (Y)

Nanjing Zhongtuo Technology Co., Ltd., Nanjing 210000, China.

Classifications MeSH