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With the continuous development of fiber positioning technology, the positioning accuracy of LAMOST (Large Sky Area Multi-Object Fiber Spectroscopic Telescope) needs to be further improved. The open-loop control based on calibration curves can no longer meet the requirements of the next-generation fiber positioning technology. Therefore, a closed-loop control system needs to be adopted, and image measurement technology needs to be introduced to improve accuracy. The key to this mechanism lies in correctly matching the positions of the units in the image. The matching process is divided into two steps: first, calibrating the camera and calculating the matching parameters of the working units in the image based on the positions of the reference unit light spots in the image, and then matching the working units. Due to the overlap of the working areas of different units, we can predict the approximate current position of the work unit, and perform matching at those positions to improve the accuracy of the system matching and reduce the complexity of the matching algorithm. The experimental results indicate that even in cases where there are a significant number of errors in the predicted positions due to various reasons, the mechanism still maintains a high success rate in matching. At least 95.3% of the units exhibit an error of less than 40 micrometers after three steps. Ultimately, this matching mechanism not only has excellent robustness but also has low sensitivity to unit parameters, initial positions, and unexpected situations such as collisions or communication issues.
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