A Novel Diagnosis Method for a Hall Plates-Based Rotary Encoder with a Magnetic Concentrator

In the last few years, rotary encoders based on two-dimensional complementary metal oxide semiconductors (CMOS) Hall plates with a magnetic concentrator have been developed to measure contactless absolute angle. There are various error factors influencing the measuring accuracy, which are difficult...

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Main Authors: Bumin Meng, Yaonan Wang, Wei Sun, Xiaofang Yuan
Format: Article
Language:English
Published: MDPI AG 2014-07-01
Series:Sensors
Subjects:
Online Access:http://www.mdpi.com/1424-8220/14/8/13980
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author Bumin Meng
Yaonan Wang
Wei Sun
Xiaofang Yuan
author_facet Bumin Meng
Yaonan Wang
Wei Sun
Xiaofang Yuan
author_sort Bumin Meng
collection DOAJ
description In the last few years, rotary encoders based on two-dimensional complementary metal oxide semiconductors (CMOS) Hall plates with a magnetic concentrator have been developed to measure contactless absolute angle. There are various error factors influencing the measuring accuracy, which are difficult to locate after the assembly of encoder. In this paper, a model-based rapid diagnosis method is presented. Based on an analysis of the error mechanism, an error model is built to compare minimum residual angle error and to quantify the error factors. Additionally, a modified particle swarm optimization (PSO) algorithm is used to reduce the calculated amount. The simulation and experimental results show that this diagnosis method is feasible to quantify the causes of the error and to reduce iteration significantly.
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spelling doaj.art-5358fc0634a34b2db340615b32c082ae2022-12-22T04:21:10ZengMDPI AGSensors1424-82202014-07-01148139801399810.3390/s140813980s140813980A Novel Diagnosis Method for a Hall Plates-Based Rotary Encoder with a Magnetic ConcentratorBumin Meng0Yaonan Wang1Wei Sun2Xiaofang Yuan3The College of Electrical and Information Engineering, Hunan University, 410082 Changsha, ChinaThe College of Electrical and Information Engineering, Hunan University, 410082 Changsha, ChinaThe College of Electrical and Information Engineering, Hunan University, 410082 Changsha, ChinaThe College of Electrical and Information Engineering, Hunan University, 410082 Changsha, ChinaIn the last few years, rotary encoders based on two-dimensional complementary metal oxide semiconductors (CMOS) Hall plates with a magnetic concentrator have been developed to measure contactless absolute angle. There are various error factors influencing the measuring accuracy, which are difficult to locate after the assembly of encoder. In this paper, a model-based rapid diagnosis method is presented. Based on an analysis of the error mechanism, an error model is built to compare minimum residual angle error and to quantify the error factors. Additionally, a modified particle swarm optimization (PSO) algorithm is used to reduce the calculated amount. The simulation and experimental results show that this diagnosis method is feasible to quantify the causes of the error and to reduce iteration significantly.http://www.mdpi.com/1424-8220/14/8/13980rotary encoderHall sensormodel-based diagnosisCORDIC algorithmsparticle swarm optimization
spellingShingle Bumin Meng
Yaonan Wang
Wei Sun
Xiaofang Yuan
A Novel Diagnosis Method for a Hall Plates-Based Rotary Encoder with a Magnetic Concentrator
Sensors
rotary encoder
Hall sensor
model-based diagnosis
CORDIC algorithms
particle swarm optimization
title A Novel Diagnosis Method for a Hall Plates-Based Rotary Encoder with a Magnetic Concentrator
title_full A Novel Diagnosis Method for a Hall Plates-Based Rotary Encoder with a Magnetic Concentrator
title_fullStr A Novel Diagnosis Method for a Hall Plates-Based Rotary Encoder with a Magnetic Concentrator
title_full_unstemmed A Novel Diagnosis Method for a Hall Plates-Based Rotary Encoder with a Magnetic Concentrator
title_short A Novel Diagnosis Method for a Hall Plates-Based Rotary Encoder with a Magnetic Concentrator
title_sort novel diagnosis method for a hall plates based rotary encoder with a magnetic concentrator
topic rotary encoder
Hall sensor
model-based diagnosis
CORDIC algorithms
particle swarm optimization
url http://www.mdpi.com/1424-8220/14/8/13980
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