When SINS (slave strapdown inertial navigation system) got the MINS (Master Inertial Navigation System) data, the time reference was unified to the moment corresponding to the MINS data, and the data was processed by K'alman filter,which effects convergence speed and precision of airborne navigation system.In order to improve the precision of transfer alignment for airborne navigation system ,a compensation algorithm for information transmission time delay[1] is proposed to estimate the delay time and use relevant data to compensate the errors caused by time delay.A method using velocity and measurement misalignment angle information for processing the time delay was derived.A simulation system was made to validate the calculation.And the simulation results show the feasibility and effectiveness of this compensation algorithm.
In view of the specific environment of the reconnaissance UAV (Unmanned Aerial Vehicle), it is necessary to design a micro-inertial attitude measurement system. The ground-demo of the distributed micro-inertial attitude measurement system was set up. Then the attitude error measurement equation was deduced. Based on this, the Kalman filter using the “velocity and attitude” matching algorithm was designed. Through vehicle test, the experimental results show that the precisions of horizontal angle and azimuth angle are superior to 1.5′ and 2.3′ respectively by the proposed algorithm. All these characteristics show that the scheme is feasible and can provide reference for the engineering application of the distributed micro-inertial attitude measurement system.
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