Please use this identifier to cite or link to this item: http://hdl.handle.net/10553/71266
Title: A virtual ind sensor based on a particle filter
Authors: Cabrera Gámez, Jorge 
Domínguez Brito, Antonio Carlos 
Hernández Sosa, José Daniel 
Valle-Fernández, B.
Ramos-de-Miguel, A.
García Montesdeoca, José Carlos 
UNESCO Clasification: 120325 Diseño de sistemas sensores
120314 Sistemas de control del entorno
120304 Inteligencia artificial
Issue Date: 2017
Abstract: Wind sensors are essential components of any sailboat, meanwhile they are also one of its most compromised and exposed elements. This paper introduces a novel approach that allows to estimate wind direction and speed based on the application of a particle filter technique that relies on a model dynamics of the sailboat. The proposal incorporates elitism and particle re-initialization to improve filter convergence. Extensive simulation results prove that this approach is capable of providing acceptable estimates of wind conditions at a modest computational cost.
URI: http://hdl.handle.net/10553/71266
ISBN: 978-3-319-45452-8
DOI: 10.1007/978-3-319-45453-5_6
Source: Alves J., Cruz N. (eds) Robotic Sailing 2016. WRSC/IRSC 2016. Springer, Cham, p. 69-78
Appears in Collections:Actas de congresos
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