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An Analog-Digital Mixed Measurement Method of Inductive Proximity Sensor
Yi-Xin Guo1, Zhi-Biao Shao2, Ting Li3
1The School of Electronic and Information Engineering, Xi'an Jiaotong University, No.28, Xianning West Road, Xi'an 710049, China. macray@126.com.
Sensors (Basel, Switzerland)
|January 6, 2016
Summary
This study introduces a new measurement method for inductive proximity sensors (IPSs) to reduce temperature drift. The technique uses a 2D look-up table for stable, real-time, and accurate position detection, ideal for aerospace applications.
Area of Science:
- Sensor Technology
- Measurement Science
Background:
- Inductive proximity sensors (IPSs) are crucial for position detection but suffer from temperature drift.
- Existing methods often lack accuracy or real-time capabilities when compensating for environmental factors.
Purpose of the Study:
- To develop an analog-digital mixed measurement method for IPSs that overcomes temperature drift.
- To enhance the stability, reliability, and quantitative output of IPS measurements.
Main Methods:
- Implemented a two-dimensional look-up table based on structural modeling and IPS operating principle analysis.
- Separated inductance and resistance components from measurement data to mitigate temperature effects.
- Compressed the look-up table by analyzing sample data distribution, simplifying the circuit and reducing power consumption.
- Integrated a real-time built-in self-test (BIST) function by analyzing abnormal sample data.
Main Results:
- The proposed method effectively reduces temperature drift in IPS measurements.
- Achieved stable, reliable, and real-time quantitative displacement outputs without complex components.
- Demonstrated reduced online computational complexity and simplified processing circuits.
- Successfully implemented a BIST function for enhanced system integrity.
Conclusions:
- The analog-digital mixed measurement method offers a robust solution for temperature drift in IPSs.
- The technique provides significant advantages for high-performance applications, particularly in aviation and aerospace.
- The developed system is stable, reliable, real-time, and computationally efficient.
