Invariant observer design of attitude and heading reference system

被引:3
|
作者
Barczyk, Martin [1 ]
机构
[1] Univ Alberta, Dept Mech Engn, Edmonton, AB T6G 1H9, Canada
基金
加拿大自然科学与工程研究理事会;
关键词
Inertial navigation; state estimation; Kalman filters; nonlinear dynamical systems; covariance matrices;
D O I
10.1007/s11768-019-8028-6
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
An attitude and heading reference system (AHRS) is a nonlinear state estimator unit for computing orientation in 3D space. This paper designs an AHRS using three approaches: an invariant observer, an invariant extended Kalman filter (IEKF), and a conventional extended Kalman filter (EKF). The three designs are validated in experiment versus a ground truth, demonstrating the practical interest of the invariant observer methodology and the advantage of the IEKF over the EKF under model uncertainty.
引用
收藏
页码:228 / 240
页数:13
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