Visual axis stabilizing method for servo stabilizing system of mobile laser communication equipment

Abstract

The invention discloses a visual axis stabilizing method for a servo stabilizing system of mobile laser communication equipment, and the method is characterized in that the method comprises the following steps: 1) installing, correcting and optimizing a gyroscope; 2) executing a CCD centroid algorithm optimization process; 3) executing a same-direction small value rapid convergence process. According to the method, the visual axis of the system can be stabilized, the linearity of the system can be improved, the coupling error between all shaft systems of the system can be reduced, and the disturbance resistance and the tracking precision of the system can be enhanced.

Description

technical field [0001] The invention relates to wireless laser communication technology, in particular to a visual axis stabilization method for a servo stabilization system of mobile laser communication equipment. Background technique [0002] Near-earth mobile laser communication equipment is usually mounted on mobile platforms such as vehicles, ships, and airplanes to achieve "communication in motion". system to isolate interference. As the communication environment changes to large-capacity, long-distance, and mobile platforms, mobile laser communication equipment puts forward higher stability requirements for two-dimensional servo stabilization systems, such as anti-turbulence, anti-rain and fog, and anti-platform vibration. The accuracy of the boresight stabilization needs to reach micro-radian level. [0003] The servo stabilization system of mobile laser communication equipment is mainly composed of the laser communication antenna part and the servo stabilization s...

AI Technical Summary

Problems solved by technology

The power tracking method itself has large power fluctuations, insufficient stability, poor boresight stabilization effect, and low accuracy. It is suitable for laser communication boresight stabilization on stationary platforms; the four-quadrant detector is easy to give two axes due to its poor linearity. Tracking brings coupling error, resulting in poor system stability; CCD camera has good linearity, but in turbulent and rainy and foggy weather, the beacon light flickers seriously, and the coordinates of the beacon light acquired by the CCD camera jump greatly, which will cause The instability of the visual axis; the closed-loop algorithm optimization method of the servo system can increase the stability of the servo system itself, but the mechanical installation error, zero drift, and temperature drift of the gyroscope in the servo system have a certain impact on the stability of the system

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