Analysis of UAV state estimation modeling based on AHRS and INS configurations

State estimation for unmanned aerial vehicle is one of the important components in autonomous UAV. There are several techniques and algorithms used in estimating UAV states depend on the applied sensors. Inertial measurement unit (IMU) based attitude heading and reference system (AHRS) and complete...

全面介绍

Saved in:
书目详细资料
Main Authors: Mohd Razali, Noor Ashikin, Md Zhahir, Md Amzari
格式: Conference or Workshop Item
语言:English
出版: AIP Publishing 2017
在线阅读:http://psasir.upm.edu.my/id/eprint/57455/1/Analysis%20of%20UAV%20state%20estimation%20modeling%20based%20on%20AHRS%20and%20INS%20configurations.pdf
http://psasir.upm.edu.my/id/eprint/57455/
标签: 添加标签
没有标签, 成为第一个标记此记录!
实物特征
总结:State estimation for unmanned aerial vehicle is one of the important components in autonomous UAV. There are several techniques and algorithms used in estimating UAV states depend on the applied sensors. Inertial measurement unit (IMU) based attitude heading and reference system (AHRS) and complete inertial navigation system (INS) are the common navigation sensors used for UAV today. The differences between these two configurations in estimating UAV states are analyzed in this paper using state estimation modeling in Matlab environment. The results are displayed through UAV position and attitude graphs.