A New Air Data Attitude and Heading Reference System Algorithm Applied to High-dynamic Guidance Flight
Lei Hongjie
Abstract
Lei Hongjie
Abstract
To promote the availability of attitude and heading reference system(AHRS)for high dynamic guidance flight,a new algorithm of ADAHRS(air data AHRS) based on self-adaptive Kalman filter was presented,the air data was used to eliminate the movement acceleration from the measurement,and the problem of attitude correction and heading in high-dynamic guidance flight was solved.The algorithm is designed and applied to MEMS system.The result of vehicle-borne proves that the algorithm is reasonable,feasible and robust to be applied to missile or aircraft with high maneuver.
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To promote the availability of attitude and heading reference system(AHRS)for high dynamic guidance flight,a new algorithm of ADAHRS(air data AHRS) based on self-adaptive Kalman filter was presented,the air data was used to eliminate the movement acceleration from the measurement,and the problem of attitude correction and heading in high-dynamic guidance flight was solved.The algorithm is designed and applied to MEMS system.The result of vehicle-borne proves that the algorithm is reasonable,feasible and robust to be applied to missile or aircraft with high maneuver.
Key concepts: Attitude and heading reference system, Heading (navigation), Kalman filter, Acceleration, Missile, Computer science, Control theory (sociology), Sensor fusion