Multi-function air data probes employing neural networks for determining local air data parameters
a neural network and air data technology, applied in the field of air data sensing systems, can solve the problems of a large amount of memory, high implementation cost, and a substantial degradation of performance of other current techniques, and achieve the effects of reducing the cost of implementation, reducing and improving the accuracy of air data
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[0015] Referring to FIG. 1, an aircraft indicated generally at 10 is shown with a nose portion 12. Mounted air data sensing probes or MFPs are indicated schematically and generally at 14, 16 and 18. The positioning of aircraft 10 is with respect to a center plane or center line 20 that is perpendicular to the normal plane of the wings 21. Center line 20 is shown in a greatly exaggerated sideslip condition where the path of travel of aircraft 10 is indicated at 22, and where there is a substantial angle β between the path of travel line 22 and the line or plane 20. Angle β is the aircraft AOS, which is defined herein as an aircraft parameter. Other aircraft parameters or air data parameters include aircraft static pressure and Mach number, for example. The aircraft essentially is yawing to the left in FIG. 1. As the airflow passes across the aircraft, the probes 14 and 18 will be subjected to different local flow conditions, insofar as the local angle of wind and local static pressur...
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