LAUSR.org creates dashboard-style pages of related content for over 1.5 million academic articles. Sign Up to like articles & get recommendations!

A Fast Adaptive-Gain Complementary Filter Algorithm for Attitude Estimation of an Unmanned Aerial Vehicle – CORRIGENDUM

Photo from wikipedia

In Yang et al. (2018), the authors derive an observation model of attitude quaternions from normalised accelerometer measurements. The method of Yang et al. builds up the linear measurement model… Click to show full abstract

In Yang et al. (2018), the authors derive an observation model of attitude quaternions from normalised accelerometer measurements. The method of Yang et al. builds up the linear measurement model via Taylor approximations. Some significant contributions and new filter designs are shown in this paper which deal with the problem of adaptive estimation. Regarding the factorization of the direction cosine matrix, it has been systematically described in Wu et al. (2018), but this has not been noticed by Yang et al. as this paper was published after the original submission of Yang et al. (2018). Yang et al. (2018) uses different compositions of a dynamical system that achieves the same result as in Wu et al. (2016).

Keywords: estimation; gain complementary; attitude; yang 2018; fast adaptive; adaptive gain

Journal Title: Journal of Navigation
Year Published: 2018

Link to full text (if available)


Share on Social Media:                               Sign Up to like & get
recommendations!

Related content

More Information              News              Social Media              Video              Recommended



                Click one of the above tabs to view related content.