Post data-based rotary guided projectile quick air alignment method

Abstract

The invention provides a post data-based rotary guided projectile quick air alignment method. The alignment position and the speed in the method are provided by a satellite navigation system, and a course angle and a pitching angle at the corresponding moment are calculated according to a speed signal output by satellite navigation; a coefficient matrix of a transverse roll angle observation equation is determined according to the pitching angle from the set moment T to the alignment moment T1, the change rate of the coarse angle, the change rate of the pitching angle and the gyro output angle speed in INS data, and is solved by the least square method, thus realizing precise calculation of the inertial navigation initial position, the speed and the attitude angle, namely realizing quick air alignment of a rotary guided projectile; therefore, the falling precision of the rotary guided projectile is greatly improved. The alignment algorithm is simple, and the precision is high; meanwhile, the alignment time is short, the alignment speed is high, and important implying in improving the falling precision of the rotary guided projectile and shortening the striking time is made.

Description

technical field [0001] The present invention relates to the technical field of initial alignment technology and integrated navigation system, in particular to a method for rapid air alignment of rotating guided projectiles based on post-data, which can be used for unmanned aerial vehicles, spin-guided projectiles, etc. that need self-alignment in the air occasion. Background technique [0002] The spin-guided projectile is a high-precision weapon that is launched in the air and needs to be self-aligned. It includes systems such as inertial navigation and GPS. The error of the inertial navigation system is corrected by GPS to achieve the ability to accurately strike the target. Air alignment estimates the misalignment angle of the inertial navigation system from the deviation of the inertial navigation system relative to the navigation parameters (such as speed, etc.) provided by other navigation systems and corrects it. [0003] The inertial navigation system is a range rec...

AI Technical Summary

Problems solved by technology

The commonly used alignment method is realized by Kalman filtering algorithm, which needs to establish a systematic error model, and the stability of the algorithm depends heavily on the correctness and accuracy of the navigation error model, and the time cost is large, and the filtering period is long; Inertial navigation is not considered in the Kalman filtering process. In a weightless environment, the output of the accelerometer is almost zero, the observation effect on the roll angle is poor, and the alignment accuracy is not high and it takes a long time

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