# Design and Implementation of an Inductive Proximity Sensor with Embedded Systems

## TL;DR

This paper presents a new inductive proximity sensor design using embedded systems for accurate short-distance measurements.

## Contribution

A novel inductive proximity sensor model based on frequency response and embedded systems is proposed and implemented.

## Key findings

- The sensor achieves 33 µm accuracy within a 10 mm range.
- Frequency drift with temperature is linear and can be compensated.
- The design uses an LC circuit with a persistent oscillatory state for distance measurement.

## Abstract

Non-mechanical contact distance measurement solutions are becoming more and more necessary in various industries, including building monitoring, automotive, and aviation industries. Inductive proximity sensor (IPS) technology is becoming a more popular solution in the field of short distances. Because of its small size, dependability, and measurement capabilities, IPS is a good option. Separate circuits are used in the classical structures to generate the excitation signal for the sensor coil and measure the response signal. The response signal’s amplitude is typically measured. This article proposes an IPS model that uses frequency response as its basis for operation. A microcontroller and embedded technology are used to implement a small IPS structure. This includes the circuit for determining distance, as well as the signal generator used to excite the sensor coil. In essence, an LC circuit is employed, which at the unit step has a damped oscillatory response by nature. Periodically injecting energy into the LC circuit, however, causes it to enter a persistent oscillatory state. The full experimental model is implemented and presented in the article, illustrating how the distance can be measured with a 33 µm accuracy within the 10 mm range with the help of the nonlinear relationship between frequency and distance and the linear drift of frequency with temperature.