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

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Abstract

In the manufacturing process of LED chips, the accuracy of the LED chip visual localization system affects the quality of LED chip production directly. There are many errors that have impacts on positioning system accuracy. Therefore, the identification and compensation of the critical errors is key to efficiently improving the precision of the system. Based on this fact, an error analysis method and an error compensation strategy are proposed in this paper. The first step was to measure the relevant error sources that may affect the localization system. Then error model of localization system was established, and the validity of this error model was verified by comparing simulated and actual positioning results. In addition, the impact factors of each error source on localization system accuracy were obtained using the error transfer theory. According to the error analysis results, an efficient error compensation strategy was proposed, which could compensate the errors in order of impact factors, and judge whether the error compensation method is optimal. Finally, the experimental results proved that the proposed error analysis method was valid and the error compensation strategy could efficiently enhance the positioning accuracy to meet the industrial application requirements.

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Acknowledgments

This research is supported in part by the National Key Research and Development Program of China (No. 2016YFC0105306).

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Authors and Affiliations

  1. Digital Manufacturing Equipment and Technology Key National Laboratories, Huazhong University of Science and Technology, Wuhan, 430074, Hubei, China

    Diyi Zhou, Shihua Gong, Ziyue Wang, Delong Li & Huaiqing Lu

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  1. Diyi Zhou
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  2. Shihua Gong
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  3. Ziyue Wang
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  4. Delong Li
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  5. Huaiqing Lu
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Correspondence to Shihua Gong.

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Zhou, D., Gong, S., Wang, Z. et al. Error analysis based on error transfer theory and compensation strategy for LED chip visual localization systems. J Intell Manuf 32, 1345–1359 (2021). https://doi.org/10.1007/s10845-020-01615-9

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  • DOI: https://doi.org/10.1007/s10845-020-01615-9

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