A Multi-sensor Data Fusion Algorithm Based on Unscented Kalman Filter for the Attitude Estimation of UAV

Aiming at the low accuracy of the inertial measurement unit and the error of the traditional attitude estimation algorithm, a UAV attitude estimation algorithm based on Unscented Kalman Filter (UKF) is proposed. The Euler angle method is used to describe the attitude algorithm model of the aircraft,...

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Vydané v:	Journal of physics. Conference series Ročník 1965; číslo 1; s. 12001 - 12006
Hlavní autori:	Wu, Hongwei, Dou, Yinke, Liu, Jianlong
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Bristol IOP Publishing 01.07.2021
Predmet:	Aircraft Algorithms Attitudes Control data (computers) Data integration Equations of state Error analysis Euler angles Extended Kalman filter Flight control Inertial platforms Multisensor fusion Unmanned aerial vehicles
ISSN:	1742-6588, 1742-6596
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