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Modeling of axial self-inductive displacement sensor considering fringing effects and eddy current effects.
Tang, Hongzhou; Zhou, Jin; Jin, Chaowu; Xu, Yuanping.
Afiliação
  • Tang H; College of Mechanical and Electrical Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing 210016, China.
  • Zhou J; College of Mechanical and Electrical Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing 210016, China.
  • Jin C; College of Mechanical and Electrical Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing 210016, China.
  • Xu Y; College of Mechanical and Electrical Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing 210016, China.
Rev Sci Instrum ; 94(12)2023 Dec 01.
Article em En | MEDLINE | ID: mdl-38038634
ABSTRACT
Axial self-inductive displacement sensor can be used in rotor systems to detect the axial displacement of the rotor. The design and analysis of the sensor are mostly based on the traditional ideal model, which ignores the influence of fringing effects and eddy current effects, resulting in significant discrepancies between theoretical analysis and experimental results. To take into account the influence of fringing effects and eddy current effects, this paper proposed the introduction of the fringing factor and complex permeability and then established an improved model. The results show that the prediction of the sensor's output voltage based on the improved model is in better agreement with the experimental results than the traditional ideal model, and the improved model can analyze the influences of the length of the air gap and excitation frequency on sensitivity. Therefore, the model could provide a significant reference for the design and analysis of the axial self-inductive displacement sensor.

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Revista: Rev Sci Instrum Ano de publicação: 2023 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Revista: Rev Sci Instrum Ano de publicação: 2023 Tipo de documento: Article