A Drag Model-LIDAR-IMU Fault-Tolerance Fusion Method for Quadrotors
Keyword(s):
In this paper, a drag model-aided fault-tolerant state estimation method is presented for quadrotors. Firstly, the drag model accuracy was improved by modeling an angular rate related item and an angular acceleration related item, which are related with flight maneuver. Then the drag model, light detection and ranging (LIDAR), and inertial measurement unit (IMU) were fused based on the Federal Kalman filter frame. In the filter, the LIDAR estimation fault was detected and isolated, and the disturbance to the drag model was estimated and compensated. Some experiments were carried out, showing that the velocity and position estimation were improved compared with the traditional LIDAR/IMU fusion scheme.
2016 ◽
Vol 4
(2)
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2018 ◽
Vol 138
(2)
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pp. 112-117
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2010 ◽
Vol 130
(4)
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pp. 576-577
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2009 ◽
Vol E92-B
(2)
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pp. 403-409
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2015 ◽
Vol 2015
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pp. 1-9
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2017 ◽
Vol 232
(2)
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pp. 176-181
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