Error analysis based on error transfer theory and compensation strategy for LED chip visual localization systems

Zhou, Diyi; Shuili, Gong; Wang, Ziyue; Li, Delong; Lu, Huaiqing

doi:10.1007/s10845-020-01615-9

Cited by 9 publications

(1 citation statement)

References 18 publications

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“…Zhou analyzed the error model of LED chip visual localization systems by the Monte Carlo method, and found that the position acquisition error was the largest error source of the system positioning accuracy error. Then, the corresponding error compensation model was obtained by the LS method, but the number of error sources analyzed was relatively small [ 17 ]. In the optical system, increased attention has been paid to the pointing error.…”

Section: Introductionmentioning

confidence: 99%

Active Compensation Technology for the Target Measurement Error of Two-Axis Electro-Optical Measurement Equipment

Lan,

Hua,

Fang

et al. 2024

Sensors

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For two-axis electro-optical measurement equipment, there are many error sources in parts manufacturing, assembly, sensors, calibration, and so on, which cause some random errors in the final measurement results of the target. In order to eliminate the random measurement error as much as possible and improve the measurement accuracy, an active compensation technique for target measurement error is proposed in this paper. Firstly, the error formation mechanism and error transfer model establishment of the two-axis electro-optical measurement equipment were studied, and based on that, three error compensation and correction methods were proposed: the least square (LS)-based error compensation method, adaptive Kalman filter(AKF)-based error correction method, and radial basis function neural network (RBFNN)-based error compensation method. According to the theoretical analysis and numerical simulation comparison, the proposed RBFNN-based error compensation method was identified as the optimal error compensation method, which can approximate the random error space surface more precisely, so that a more accurate error compensation value can be obtained, and in order to improve the measurement accuracy with higher precision. Finally, the experimental results proved that the proposed active compensation technology was valid in engineering applicability and could efficiently enhance the measurement accuracy of the two-axis electro-optical measurement equipment.

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Section: Introductionmentioning

confidence: 99%