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  • Received: Mar. 25, 2020

    Accepted: Apr. 23, 2020

    Posted: Sep. 1, 2020

    Published Online: Sep. 16, 2020

    The Author Email: Li Xingqiang (lixingqiang@sia.cn)

    DOI: 10.3788/CJL202047.0904003

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    Hao Cui, Rui Guo, Xingqiang Li, Rigang Cong. Calibration of Laser Triangular Displacement Sensor Based on Nonlinear Fitting[J]. Chinese Journal of Lasers, 2020, 47(9): 0904003

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Chinese Journal of Lasers, Vol. 47, Issue 9, 0904003 (2020)

Calibration of Laser Triangular Displacement Sensor Based on Nonlinear Fitting

Cui Hao1,2,3, Guo Rui1,2, Li Xingqiang1,2,*, and Cong Rigang1,2

Author Affiliations

  • 1Intelligent Detection and Equipment Department, Shenyang Institute of Automation, Chinese Academy of Sciences, Shenyang, Liaoning 110016, China
  • 2Institutes for Robotics and Intelligent Manufacturing, Chinese Academy of Sciences,Shenyang, Liaoning 110169, China
  • 3University of Chinese Academy of Sciences, Beijing 100049, China

Abstract

For the precise calibration of laser triangular displacement detection based on position sensitive devices (PSD) with the influence of complex photoelectric noise, a joint calibration method based on multivariate adaptive Kalman filter (MAKF) and non-uniform B-spline is proposed. The nonlinear characteristic of displacement sensor is shown in detail by analyzing the measurement principle and computing methods. Aiming at the nonlinear problem, the method of curve fitting for the calibration is given. In consideration of the characteristic of curve fitting, in this paper, a preprocess method called MAKF is proposed for the photoelectric noise elimination. Then, the B-spline curve fitting model is built by dividing the knot vector nonuniformly, which makes the precision of the sensor further promoted. Calibration experiments are carried out under actual working conditions. The experimental results show that the curve fitting calibration method can complete the high-precision calibration of the laser displacement sensor. The positioning accuracy is 0.7%, the average measurement error can reach 0.012 mm, and the calibration mean square error is 2.12×10 -5 mm 2.

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