METHOD FOR FUSING DATA FROM SENSORS USING A CONSISTENCY CRITERION

摘要

The disclosure relates to a data fusion method for fusing the measurements of a parameter, for example an aircraft flight parameter, that are taken by a plurality of sensors comprising a set of main sensors and sets of secondary sensors. The discrepancy between each main measurement and the secondary measurements is determined and a score of consistency with them is deduced therefrom. For each fault configuration of the main sensors, a first estimation, so-called conditional, of the parameter is performed and a weighting coefficient relating to this fault is calculated, taking account of the consistency scores of the main measurements. The parameter is thereafter estimated by performing a combination of the conditional measurements with the associated weighting coefficients.

主权项

1. A method for fusing measurements of an aircraft flight parameter on a basis of a first set of main measurements taken by a first set of so-called main sensors, and of a plurality of second sets of so-called secondary measurements taken by second sets of secondary sensors, the main measurements exhibiting a greater degree of accuracy than the secondary measurements, wherein:
a discrepancy between each main measurement and the secondary measurements is calculated; a score of consistency of each main measurement with the secondary measurements is determined by the discrepancy thus obtained; for each possible fault configuration of the main sensors, a first estimation, so-called conditional, of the parameter is performed on the basis of the main measurements taken by the sensors which are not faulty in the configuration; for each fault configuration, a weighting coefficient is determined on the basis of the consistency scores of the main measurements obtained previously; an estimation of the parameter is performed by weighting the conditional estimations relating to the various fault configurations by the weighting coefficients corresponding to these configurations.