Method and system for checking and calibrating precision of intelligent pointing mechanism

CN122043389APending Publication Date: 2026-05-15王驰
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
王驰
Filing Date
2026-04-01
Publication Date
2026-05-15

AI Technical Summary

Technical Problem

The precision calibration of existing intelligent pointing mechanisms relies on external benchmarks, which involves cumbersome operation procedures, poor environmental adaptability, and susceptibility to weather interference, making it difficult to meet the requirements for high-precision autonomous calibration.

Method used

By combining the BeiDou satellite system with the inertial navigation system, and fusing the gravity vector of the inertial measurement unit with the heading measurement of the dual-antenna BeiDou unit, combined with iterative optimization algorithms, autonomous high-precision calibration is achieved, reducing dependence on external references and improving environmental adaptability.

Benefits of technology

It enables rapid standardized calibration in environments with low visibility, day and night, and complex conditions, reducing dependence on peripherals and environmental constraints, suppressing zero-point and scale drift, and improving calibration efficiency and accuracy.

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Abstract

The invention discloses a method and a system for checking and calibrating the precision of an intelligent pointing mechanism, relates to the technical field of intelligent pointing calibration, and provides the following scheme: fusing a gravity vector measurement value of an inertial measurement unit and a course measurement value of a double-antenna Beidou unit based on a pre-stored priori parameter set in a power-on standing period of the pointing mechanism; the method comprises the following steps: constructing an initial attitude estimation value, driving an azimuth and pitch axis to perform low-speed and low-amplitude reciprocating scanning through a control unit, and collecting angle increment data of an inertial measurement unit, a real-time baseline direction of a double-antenna Beidou unit and a real-time angle set of an angle encoder at the same time; according to the method, the gravity vector measurement value, the course measurement value and the shafting low-speed low-amplitude reciprocating scanning are subjected to static initialization to cooperatively excite the dynamic error, so that the precision gap problem of failure of static calibration parameters in motion due to mechanical deformation / vibration noise is solved, and the dynamic isomorphism of a calibration environment and a real working condition is realized; and the azimuth and pitch angle prediction precision is improved.
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