Lighting fixture positioning methods, devices and lighting fixtures

By employing dynamic error suppression algorithms and intelligent self-learning calibration, the problem of inaccurate position calculation of the lamp moving head component was solved, achieving precise position determination and long-term stable operation of the system.

CN121855453BActive Publication Date: 2026-05-26PR LIGHTING
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
PR LIGHTING
Filing Date
2026-03-13
Publication Date
2026-05-26

AI Technical Summary

Technical Problem

In the existing technology, due to the existence of measurement errors and the decline in accuracy over long-term operation, it is impossible to accurately determine the position of the moving head assembly of the lamp, especially the position calculation of the moving head assembly that rotates over a wide range under the drive of the motor is inaccurate.

Method used

A dynamic error suppression algorithm is used to process the rotation angle of the differential wheel. Combined with intelligent self-learning calibration to update system parameters, the absolute rotation angle of the yaw assembly is calculated by obtaining the rotation angles of the first pulley and the differential wheel, and the historical learning position list is updated when preset conditions are met.

Benefits of technology

It effectively suppresses the influence of random errors on the calculation results, ensures the accurate calculation of the position of the tilting component, and can adapt to environmental changes and device aging, thus achieving long-term operating accuracy and stability of the system.

✦ Generated by Eureka AI based on patent content.

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    Figure CN121855453B_ABST
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Abstract

This invention belongs to the field of lighting fixture positioning, and provides a lighting fixture positioning method, device, and lighting fixture. The method includes: obtaining a first original rotation angle of a first pulley and a second original rotation angle of a differential pulley; processing the second original rotation angle using a dynamic error suppression algorithm to obtain an optimized rotation angle and outputting it; calculating the absolute rotation angle of a swaying component based on the first original rotation angle and the optimized rotation angle, and determining the current position of the swaying component based on the absolute rotation angle; and updating system parameters through intelligent self-learning calibration when preset conditions are met, and updating the current position to the historical learning position list, wherein the system parameters include at least the reset reading difference. In this embodiment of the invention, processing the second original rotation angle using a dynamic error suppression algorithm can effectively suppress random errors, and updating system parameters through intelligent self-learning calibration can automatically adapt to environmental changes and device aging, ensuring the long-term operational accuracy of the system.
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