Abstract

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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