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      A Non-Linear Temperature Compensation Model for Improving the Measurement Accuracy of an Inductive Proximity Sensor and Its Application-Specific Integrated Circuit Implementation

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          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 55   ° C to 125   ° C . 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 μ 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 [ 0.2 , 0.2 ] 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.

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            Time domain modeling of eddy current effects for transformer transients

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                Author and article information

                Journal
                Sensors (Basel)
                Sensors (Basel)
                sensors
                Sensors (Basel, Switzerland)
                MDPI
                1424-8220
                03 September 2020
                September 2020
                : 20
                : 17
                : 5010
                Affiliations
                [1 ]The School of Electronic and Information Engineering, Xi’an Jiaotong University, No. 28, Xianning West Road, Xi’an 710049, China; wangliwnzz@ 123456stu.xjtu.edu.cn (L.W.); dhunter1230@ 123456gmail.com (H.D.); zbshao@ 123456mail.xjtu.edu.cn (Z.-B.S.)
                [2 ]The School of Software Engineering, Xi’an Jiaotong University, No.28, Xianning West Road, Xi’an 710049, China; coldfire2000@ 123456mail.xjtu.edu.cn
                Author notes
                [* ]Correspondence: wfx@ 123456mail.xjtu.edu.cn ; Tel.: +86-136-0911-2778
                [†]

                These authors contributed equally to this work.

                Author information
                https://orcid.org/0000-0002-7470-0187
                Article
                sensors-20-05010
                10.3390/s20175010
                7506972
                32899388
                de2c97fd-9fa0-46b7-a45c-e58f2bacdd9c
                © 2020 by the authors.

                Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license ( http://creativecommons.org/licenses/by/4.0/).

                History
                : 15 July 2020
                : 25 August 2020
                Categories
                Article

                Biomedical engineering
                inductive proximity sensor,wide temperature range,non-linear model,asic
                Biomedical engineering
                inductive proximity sensor, wide temperature range, non-linear model, asic

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