Fiber-optic gyroscope random drift compensation method for photoelectric platform

Abstract

The invention discloses a fiber-optic gyroscope random drift compensation method for a photoelectric platform. In order to improve photoelectric platform control performances and stability, aiming at a fiber-optic gyroscope used in a feedback circuit of three gimbal axes of a photoelectric platform, the method comprises building a fiber-optic gyroscope information fusion model, ensuring a multinomial relationship of current output and history output of the fiber-optic gyroscope through primary autoregression, separating fiber-optic gyroscope random drift, ensuring a fiber-optic gyroscope random drift mathematical model through secondary autoregression, carrying out measurement through a Kalman filtering algorithm and the fiber-optic gyroscope current output amount, fusing the history output and history random drift of the fiber-optic gyroscope in a state equation and carrying out random drift on-line estimation compensation on the fiber-optic gyroscope. The method can well inhibit random drift of the fiber-optic gyroscope on the three gimbal axes of the photoelectric platform and has an important meaning for improving photoelectric platform control performances and stability.

Description

technical field [0001] The invention relates to a random drift compensation method of an optical fiber gyroscope applied to a photoelectric platform, and belongs to the technical field of optical fiber gyroscopes. Background technique [0002] The three-axis electro-optical platform is the core component of guided weapons, and is mainly used to achieve inertial stabilization of the detector's boresight and high-precision tracking of targets. The control loop feedback measurement device of the optoelectronic platform is a fiber optic gyroscope. The random drift of the fiber optic gyroscope restricts the measurement accuracy of the angular velocity of the frame axis of the optoelectronic platform, which in turn affects the control performance and stability of the frame axis of the three-axis optoelectronic platform. [0003] For the random drift of the fiber optic gyroscope, there are two traditional processing methods: the first method is to establish the error mathematical m...

AI Technical Summary

Problems solved by technology

However, the first method performs overall filtering and denoising on the output of the gyroscope, and the second method performs error compensation on the random drift, both of which lack the full fusion and utilization of the current output, historical output and random drift of the fiber optic gyroscope.

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