Nonlinear Error Correction for Magnetic Encoders

被引:10
|
作者
Chuang, Hsiang-Chun [1 ,2 ]
Kung, Chung-Wei [1 ]
Chen, Li-Wu [1 ,3 ]
Jiang, Shyh-Biau [1 ]
机构
[1] Natl Cent Univ, Inst Optomechatron Engn, Taoyuan 32001, Taiwan
[2] Natl Chung Shan Inst Sci & Technol NCSIST, Taoyuan 325, Taiwan
[3] Roboy Venture Capital Co Ltd, Taoyuan 32051, Taiwan
关键词
Sensors; Measurement errors; Magnetic sensors; Measurement uncertainty; Magnetic field measurement; Optical sensors; Shafts; Calibration; fast Fourier transform (FFT); magnetic encoder; nonlinear error; ROTARY ENCODER; SELF-CALIBRATION; COMPENSATION; SENSOR; RESOLUTION;
D O I
10.1109/JSEN.2022.3214575
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
Magnetic encoders are used as angle sensors to control motors for precise positioning in many industrial manufacturing processes. However, nonideal factors such as installation misalignment lead to angle measurement errors. This study analyzed a nonlinear model of the measurement error due to the eccentricity of a magnetic encoder and developed a method of compensating for this error. An experimental calibration system consisting of a two-phase stepping motor was used to provide a standard reference angle for calculating the measurement error of the encoder. The fast Fourier transform (FFT) algorithm was used to demonstrate that the measurement error can be modeled as a multifrequency composite cosine wave with low-frequency components. Compensation for the measurement error was performed using the calculated experimental parameters of each frequency component in the nonlinear error model. The proposed method was experimentally verified, and the accuracy of the 14-bit AS5047D magnetic encoder was improved from 8-9 to 11-12 bits.
引用
收藏
页码:9129 / 9135
页数:7
相关论文
共 50 条
  • [31] Nonlinear error correction for FMCW ladar by the amplitude modulation method
    Zhang, Tong
    Qu, Xinghua
    Zhang, Fumin
    OPTICS EXPRESS, 2018, 26 (09): : 11519 - 11528
  • [32] Nonlinear error-correction models for the FF/DM rate
    Baghli, M
    STUDIES IN NONLINEAR DYNAMICS AND ECONOMETRICS, 2005, 9 (01):
  • [33] TESTING AND INFERENCE IN NONLINEAR COINTEGRATING VECTOR ERROR CORRECTION MODELS
    Kristensen, Dennis
    Rahbek, Anders
    ECONOMETRIC THEORY, 2013, 29 (06) : 1238 - 1288
  • [34] NONLINEAR ERROR CORRECTION MODEL AND MULTIPLE-THRESHOLD COINTEGRATION
    Wang, Man
    Chan, Ngai Hang
    Yau, Chun Yip
    STATISTICA SINICA, 2016, 26 (04) : 1479 - 1498
  • [35] Joint Nonlinear Sparse Error Correction for Robust State Estimation
    Kibria, Sharmin
    Kim, Jinsub
    Raich, Raviv
    IEEE TRANSACTIONS ON SIGNAL PROCESSING, 2021, 69 : 5859 - 5874
  • [36] Impact of online empirical model correction on nonlinear error growth
    Danforth, Christopher M.
    Kalnay, Eugenia
    GEOPHYSICAL RESEARCH LETTERS, 2008, 35 (24)
  • [37] Testing for cointegration in nonlinear smooth transition error correction models
    Kapetanios, G
    Shin, YC
    Snell, A
    ECONOMETRIC THEORY, 2006, 22 (02) : 279 - 303
  • [38] A Bayesian nonlinear support vector machine error correction model
    Van Gestel, T
    Espinoza, M
    Baesens, B
    Suykens, JAK
    Brasseur, C
    De Moor, B
    JOURNAL OF FORECASTING, 2006, 25 (02) : 77 - 100
  • [39] Evidence on nonlinear error correction in money demand: the case of Taiwan
    Huang, CJ
    Lin, CFJ
    Cheng, JC
    APPLIED ECONOMICS, 2001, 33 (13) : 1727 - 1736
  • [40] A Novel Algorithm Based on Polynomial Approximations for an Efficient Error Compensation of Magnetic Analog Encoders in PMSMs for EVs
    Lara, Jorge
    Xu, Jianhong
    Chandra, Ambrish
    IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS, 2016, 63 (06) : 3377 - 3388