A Robust Observer with Gyroscopic Bias Correction for Rotational Dynamics
(2023) 22nd IFAC World Congress In IFAC-PapersOnLine 56(2). p.1641-1648- Abstract
We propose an observer for rotational dynamics subject to directional and gyroscopic measurements, which simultaneously estimates the gyroscopic biases and attitude rates. We show uniform almost global asymptotic and local exponential stability of the resulting error dynamics, implying robustness against bounded disturbances. This robustness is quantified with respect to a popular nonlinear complementary filter in quantitative simulation studies, and we explore how the measurement noise propagates to the asymptotic errors as a function of tuning.
Please use this url to cite or link to this publication:
https://lup.lub.lu.se/record/ca74733b-0c31-4f02-ba30-2ba52ffb7f93
- author
- Lefeber, Erjen LU ; Greiff, Marcus LU and Robertsson, Anders LU
- organization
- publishing date
- 2023
- type
- Chapter in Book/Report/Conference proceeding
- publication status
- published
- subject
- keywords
- Lyapunov methods, Nonlinear observers and filter design, UAVs
- host publication
- IFAC-PapersOnLine
- series title
- IFAC-PapersOnLine
- editor
- Ishii, Hideaki ; Ebihara, Yoshio ; Imura, Jun-ichi and Yamakita, Masaki
- volume
- 56
- issue
- 2
- pages
- 8 pages
- publisher
- Elsevier
- conference name
- 22nd IFAC World Congress
- conference location
- Yokohama, Japan
- conference dates
- 2023-07-09 - 2023-07-14
- external identifiers
-
- scopus:85184960041
- ISSN
- 2405-8963
- ISBN
- 9781713872344
- DOI
- 10.1016/j.ifacol.2023.10.1867
- language
- English
- LU publication?
- yes
- id
- ca74733b-0c31-4f02-ba30-2ba52ffb7f93
- date added to LUP
- 2024-02-27 14:17:27
- date last changed
- 2024-09-17 11:07:44
@inproceedings{ca74733b-0c31-4f02-ba30-2ba52ffb7f93, abstract = {{<p>We propose an observer for rotational dynamics subject to directional and gyroscopic measurements, which simultaneously estimates the gyroscopic biases and attitude rates. We show uniform almost global asymptotic and local exponential stability of the resulting error dynamics, implying robustness against bounded disturbances. This robustness is quantified with respect to a popular nonlinear complementary filter in quantitative simulation studies, and we explore how the measurement noise propagates to the asymptotic errors as a function of tuning.</p>}}, author = {{Lefeber, Erjen and Greiff, Marcus and Robertsson, Anders}}, booktitle = {{IFAC-PapersOnLine}}, editor = {{Ishii, Hideaki and Ebihara, Yoshio and Imura, Jun-ichi and Yamakita, Masaki}}, isbn = {{9781713872344}}, issn = {{2405-8963}}, keywords = {{Lyapunov methods; Nonlinear observers and filter design; UAVs}}, language = {{eng}}, number = {{2}}, pages = {{1641--1648}}, publisher = {{Elsevier}}, series = {{IFAC-PapersOnLine}}, title = {{A Robust Observer with Gyroscopic Bias Correction for Rotational Dynamics}}, url = {{http://dx.doi.org/10.1016/j.ifacol.2023.10.1867}}, doi = {{10.1016/j.ifacol.2023.10.1867}}, volume = {{56}}, year = {{2023}}, }