A Virtual Wind Sensor Based on a Particle Filter
J. Cabrera-Gámez, A. C. Domínguez-Brito, J. D. Hernández-Sosa, B. Valle-Fernández, A. Ramos-de-Miguel J. C. García
WRSC/IRSC 2016: Robotic Sailing 2016, pp 69-78
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.
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