Optical Instruments, Volume. 45, Issue 1, 32(2023)

Application of XGBoost machine learning in error compensation of photoelectric encoder

Yingzheng LI... Zhibin LI*, Lei JIN, Zhenzhen HU, Yefei KANG and Gengbai LI |Show fewer author(s)
Author Affiliations
  • Department of Automation, Shanghai University of Electric Power, Shanghai 200082, China
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    References(6)

    [2] [2] INCZE I I, SZAB C, IMECS M. Incremental encoder in electrical drives: modeling simulation[M] RUDAS I J, FOD J, KACPRZYK J. Computational Intelligence Infmatics: Principles Practice. Berlin, Heidelberg: Springer, 2010: 287 300.

    [4] LU L, WANG L, WANG W, et al. A self-calibration method for error of photoelectric encoder based on gyro in rotational inertial navigation system[J]. Microsystem Technologies, 25, 2145-2152(2019).

    [5] [5] BHANGU B S, RAJASHEKARA K. Control strategy f electric starter generats embedded in gas turbine engine f aerospace applications[C]Energy Conversion Congress & Exposition. Phoenix: IEEE, 2011: 1461 1467.

    [6] HOU B, ZHOU B, LI X, et al. Periodic nonlinear error analysis and compensation of a single-excited petal-shaped capacitive encoder to achieve high-accuracy measurement[J]. Sensors, 19, 2412(2019).

    [11] JIA H K, YU L D, ZHAO H N, et al. A new method of angle measurement error analysis of rotary encoders[J]. Applied Sciences, 9, 3415(2019).

    [12] YU H. Angle measurement based on in-line digital holographic reconstruction[J]. Optics and Lasers in Engineering, 137, 106385(2021).

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    Yingzheng LI, Zhibin LI, Lei JIN, Zhenzhen HU, Yefei KANG, Gengbai LI. Application of XGBoost machine learning in error compensation of photoelectric encoder[J]. Optical Instruments, 2023, 45(1): 32

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    Paper Information

    Category: APPLICATION TECHNOLOGY

    Received: Jul. 5, 2022

    Accepted: --

    Published Online: Mar. 20, 2023

    The Author Email: LI Zhibin (thermal_li@163.com)

    DOI:10.3969/j.issn.1005-5630.2023.001.005

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