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Estimating Aerodynamic Angles in MAVs by zxlben is a document available to read on EtoBox.

The document presents a multistage fusion algorithm for estimating aerodynamic angles in mini aerial vehicles with low-aspect-ratio wings. It uses sensor data and an extended Kalman filter in two stages: first to estimate Euler angles, then combine those with other data to estimate angle of attack and sideslip angle. Accounting for gyro drift bias improves the accuracy of these estimates.

Author
zxlben
Language
EN