
Model-Aided Synthetic Airspeed Estimation of UAVs for Analytical Redundancy
This letter proposes a novel method for model-aided synthetic airspeed estimation of UAVs. The major contribution of the proposed algorithm is that the synthetic airspeed measurement is newly formulated for analytical redundancy. This filter only requires inertial measurement unit (IMU), airflow angles, and elevator control input along with a simple aircraft model containing only three lift coefficient parameters; no GPS or complex aircraft dynamic model are required. Particularly, two novel filters (unscented Kalman filter and complementary filter) are proposed and evaluated without direct airspeed and GPS measurements. Flight test results of a UAV demonstrated that the proposed algorithm yields accurate estimated airspeed, demonstrating its effectiveness for analytical redundancy.
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Work Title | Model-Aided Synthetic Airspeed Estimation of UAVs for Analytical Redundancy |
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License | In Copyright (Rights Reserved) |
Work Type | Article |
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Publication Date | June 4, 2021 |
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Deposited | November 12, 2021 |
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