Attitude Sensor from Ellipsoid Observations: A Numerical and Experimental Validation.

attitude determination ellipsoid horizon sensor

Journal

Sensors (Basel, Switzerland)
ISSN: 1424-8220
Titre abrégé: Sensors (Basel)
Pays: Switzerland
ID NLM: 101204366

Informations de publication

Date de publication:
13 Jan 2020
Historique:
received: 10 12 2019
revised: 08 01 2020
accepted: 08 01 2020
entrez: 17 1 2020
pubmed: 17 1 2020
medline: 17 1 2020
Statut: epublish

Résumé

The preliminary design and validation of a novel, high accuracy horizon-sensor for small satellites is presented, which is based on the theory of attitude determination from ellipsoid observations. The concept consists of a multi-head infrared sensor capturing images of the Earth limb. By fitting an ellipse to the imaged limb arcs, and exploiting some analytical results available from projective geometry, a closed form solution for computing the attitude matrix is provided. The algorithm is developed in a dimensionless framework, requiring the knowledge of the shape of the imaged target, but not of its size. As a result, the solution is less sensitive to the limb shift caused by the atmospheric own radiance. To evaluate the performance of the proposed method, a numerical simulator is developed, which generates images captured in low Earth orbit, including also the presence of the atmosphere. In addition, experimental validation is provided due to a dedicated testbed, making use of a miniature infrared camera. Results show that our sensor concept returns rms errors of few hundredths of a degree or less in determining the local nadir direction.

Identifiants

pubmed: 31940984
pii: s20020433
doi: 10.3390/s20020433
pmc: PMC7013450
pii:
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Références

Sensors (Basel). 2016 Oct 12;16(10):
pubmed: 27754320

Auteurs

Dario Modenini (D)

Department of Industrial Engineering, University of Bologna, 47121 Forlì, Italy.

Alfredo Locarini (A)

Department of Industrial Engineering, University of Bologna, 47121 Forlì, Italy.

Marco Zannoni (M)

Department of Industrial Engineering, University of Bologna, 47121 Forlì, Italy.

Classifications MeSH