A Distributed Method for Self-Calibration of Magnetoresistive Angular Position Sensor within a Servo System
Magnetoresistive angle position sensors are, beside Hall effect sensors, especially suitable for usage within servo systems due to their reliability, longevity, and resilience to unfavorable environmental conditions. The proposed distributed method for self-calibration of magnetoresistive angular po...
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Format: | Article |
Language: | English |
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MDPI AG
2022-08-01
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Series: | Sensors |
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Online Access: | https://www.mdpi.com/1424-8220/22/16/5974 |
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author | Vladimir Čeperković Vladimir Rajović Milan Prokin |
author_facet | Vladimir Čeperković Vladimir Rajović Milan Prokin |
author_sort | Vladimir Čeperković |
collection | DOAJ |
description | Magnetoresistive angle position sensors are, beside Hall effect sensors, especially suitable for usage within servo systems due to their reliability, longevity, and resilience to unfavorable environmental conditions. The proposed distributed method for self-calibration of magnetoresistive angular position sensor uses the data collected during the highest allowed speed shaft movement for the identification of the measurement process model parameters. Data acquisition and initial data processing have been realized as a part of the control process of the servo system, whereas the identification of the model parameters is a service of an application server. The method of minimizing of the sum of algebraic distances of the sensor readings and the parametrized model is employed for the identification of parameters of linear compensation, whereas the average shaft rotation speed has been used as a high precision reference for the identification of parameters of harmonic compensation. The proposed method, in addition to a fast convergence, provides for the increase in measurement accuracy for an order of magnitude. Experimentally obtained measurement uncertainty was better than 0.5°, with the residual variance less than 0.02°, comparable to the sensor resolution. |
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format | Article |
id | doaj.art-1e2a270674eb419b870449a7a053c2fc |
institution | Directory Open Access Journal |
issn | 1424-8220 |
language | English |
last_indexed | 2024-03-09T03:52:11Z |
publishDate | 2022-08-01 |
publisher | MDPI AG |
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series | Sensors |
spelling | doaj.art-1e2a270674eb419b870449a7a053c2fc2023-12-03T14:25:25ZengMDPI AGSensors1424-82202022-08-012216597410.3390/s22165974A Distributed Method for Self-Calibration of Magnetoresistive Angular Position Sensor within a Servo SystemVladimir Čeperković0Vladimir Rajović1Milan Prokin2Department of Electronics and Digital Systems, School of Electrical Engineering, University of Belgrade, Bulevar Kralja Aleksandra 73, 11120 Belgrade, SerbiaDepartment of Electronics and Digital Systems, School of Electrical Engineering, University of Belgrade, Bulevar Kralja Aleksandra 73, 11120 Belgrade, SerbiaDepartment of Electronics and Digital Systems, School of Electrical Engineering, University of Belgrade, Bulevar Kralja Aleksandra 73, 11120 Belgrade, SerbiaMagnetoresistive angle position sensors are, beside Hall effect sensors, especially suitable for usage within servo systems due to their reliability, longevity, and resilience to unfavorable environmental conditions. The proposed distributed method for self-calibration of magnetoresistive angular position sensor uses the data collected during the highest allowed speed shaft movement for the identification of the measurement process model parameters. Data acquisition and initial data processing have been realized as a part of the control process of the servo system, whereas the identification of the model parameters is a service of an application server. The method of minimizing of the sum of algebraic distances of the sensor readings and the parametrized model is employed for the identification of parameters of linear compensation, whereas the average shaft rotation speed has been used as a high precision reference for the identification of parameters of harmonic compensation. The proposed method, in addition to a fast convergence, provides for the increase in measurement accuracy for an order of magnitude. Experimentally obtained measurement uncertainty was better than 0.5°, with the residual variance less than 0.02°, comparable to the sensor resolution.https://www.mdpi.com/1424-8220/22/16/5974magnetoresistive sensorsself-calibrationdistributed systemsservo systemangle measurement |
spellingShingle | Vladimir Čeperković Vladimir Rajović Milan Prokin A Distributed Method for Self-Calibration of Magnetoresistive Angular Position Sensor within a Servo System Sensors magnetoresistive sensors self-calibration distributed systems servo system angle measurement |
title | A Distributed Method for Self-Calibration of Magnetoresistive Angular Position Sensor within a Servo System |
title_full | A Distributed Method for Self-Calibration of Magnetoresistive Angular Position Sensor within a Servo System |
title_fullStr | A Distributed Method for Self-Calibration of Magnetoresistive Angular Position Sensor within a Servo System |
title_full_unstemmed | A Distributed Method for Self-Calibration of Magnetoresistive Angular Position Sensor within a Servo System |
title_short | A Distributed Method for Self-Calibration of Magnetoresistive Angular Position Sensor within a Servo System |
title_sort | distributed method for self calibration of magnetoresistive angular position sensor within a servo system |
topic | magnetoresistive sensors self-calibration distributed systems servo system angle measurement |
url | https://www.mdpi.com/1424-8220/22/16/5974 |
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