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Article Dans Une Revue IEEE Transactions on Aerospace and Electronic Systems Année : 2017

A Deterministic VOR Error Modelling Method – Application to Wind Turbines

Ludovic Claudepierre
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Rémi Douvenot
Alexandre Chabory
Christophe Morlaas

Résumé

VOR devices are sensitive to multipath. These perturbations yield an error on the azimuth information received by the aircraft. This article presents a simulation method to estimate the impact of the environment on the received VOR signal. This method uses a two-ray model and a hybridisation between parabolic equation (PE) and physical optics (PO). The direct field between the VOR station and the aircraft is given by a two-ray model, PE is used to compute the propagation between the VOR station and the obstacles, and PO is used to compute the scattered field. Finally, the VOR error is deduced from the direct and the scattered fields. The hybridisation between PE and PO is performed as follows: the obstacles are meshed and the PE incident field is cast as a plane wave on each facet to efficiently compute the scattered field. The simulation method is confronted to in-flight measurements in the presence of a wind farm around a VOR station in Boulogne-sur-Mer, France. The maximum VOR error along the trajectories is retrieved within 1.1 degree and the statistical behaviour is reproduced. The standard deviation is within 0.3 degree, and the skewness and Kurtosis differ of less than 2 between simulations and measurements. Finally, parametric studies performed with this method show that the rotor-blades can be neglected in this scenario. It is also shown that the knowledge of the aircraft trajectory is of major importance to predict or reproduce VOR error measurements.
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Dates et versions

hal-01374097 , version 1 (29-09-2016)

Identifiants

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Ludovic Claudepierre, Rémi Douvenot, Alexandre Chabory, Christophe Morlaas. A Deterministic VOR Error Modelling Method – Application to Wind Turbines. IEEE Transactions on Aerospace and Electronic Systems, 2017, 53 (1), pp: 247 - 257. ⟨10.1109/TAES.2017.2650058⟩. ⟨hal-01374097⟩
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