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An Implementation Method for an Inductive Proximity Sensor with an Attenuation Coefficient of 1

Author

Listed:
  • Yuyin Zhao

    (School of Information Engineering, Yangzhou University, Yangzhou 225100, China)

  • Yu Fang

    (School of Information Engineering, Yangzhou University, Yangzhou 225100, China)

  • Jiajun Yang

    (School of Information Engineering, Yangzhou University, Yangzhou 225100, China)

  • Weixuan Zhang

    (School of Information Engineering, Yangzhou University, Yangzhou 225100, China)

  • Xiaoxing Ge

    (School of Information Engineering, Yangzhou University, Yangzhou 225100, China)

  • Songyin Cao

    (School of Information Engineering, Yangzhou University, Yangzhou 225100, China)

  • Xiaonan Xia

    (School of Information Engineering, Yangzhou University, Yangzhou 225100, China)

Abstract

In order to achieve long-distance measurement, a bridge differential inductance detection circuit is employed; on this basis, an automatic zero adjustment technique for sensors using an integral–proportional-integral controller is proposed in this work to achieve consistent product production and efficient installation and debugging, and the mathematical model of the bridge differential inductance detection circuit is established to effectively design the controller parameters. Furthermore, an implementation method for an inductive proximity sensor with an attenuation coefficient of 1 is also proposed based on the bridge differential inductance detection circuit by querying the proximity distance table in the field-programmable gate array (FPGA) to detect multiple target metal objects at the same inductive distance. Simulation and experimental results show that the proposed method is correct and effective.

Suggested Citation

  • Yuyin Zhao & Yu Fang & Jiajun Yang & Weixuan Zhang & Xiaoxing Ge & Songyin Cao & Xiaonan Xia, 2020. "An Implementation Method for an Inductive Proximity Sensor with an Attenuation Coefficient of 1," Energies, MDPI, vol. 13(24), pages 1-15, December.
    • Handle: RePEc:gam:jeners:v:13:y:2020:i:24:p:6482-:d:458703
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