Abstract
The non-linear characteristic of a non-contacting Inductive Proximity Sensor (IPS) with the temperature affects the computation accuracy when measuring the target distance in real time. The linear model based method for distance estimation shows a large deviation at a low temperature. Accordingly, this paper presents a non-linear measurement model, which computes the target distance accurately in real time within a wide temperature range from to . By revisiting the temperature effect on the IPS system, this paper considers the non-linear characteristic of the IPS measurement system due to the change of temperature. The proposed model adopts a non-linear polynomial algorithm rather than the simple linear Look-Up Table (LUT) method, which provides more accurate distance estimation compared to the previous work. The introduced model is fabricated in a 0.18 m Complementary Metal Oxide Semiconductor (CMOS) process and packaged in a CQFN40. For the most commonly used sensing distance of 4 mm, the computed distance deviation of the Application-Specific Integrated Circuit (ASIC) chips falls within the range of mm. According to the test results of the ASIC chips, this non-linear temperature compensation model successfully achieves real-time and high-accuracy computation within a wide temperature range with low hardware resource consumption.
Highlights
An Inductive Proximity Sensor (IPS) is a kind of tiny device deployed to measure the physical parameters of the surrounding area
We propose a serial dual-stage scheme to reduce the amount of online calculation and enable easy Application-Specific Integrated Circuit (ASIC) implementation
Both the theoretical simulation and ASIC results are conducted to evaluate the accuracy of the proposed model
Summary
An Inductive Proximity Sensor (IPS) is a kind of tiny device deployed to measure the physical parameters of the surrounding area. Most optical and capacitive sensors, despite demonstrating advantages in terms of resolution and accuracy, are generally sensitive to environmental changes [4,5]. IPSs based non-contacting measurement systems have grown exponentially, especially in high-reliability applications, such as the medical field [6], the automotive industry [7], biomedical applications [8], and various industrial position sensing environments [9,10]. Many products are designed to meet temperature, vibration, and other requirements [11,12,13,14]. The requirement of high accuracy and easy
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