AERODYNAMIC MODEL IDENTIFICATION PROCESS FOR AIRCRAFT SIMULATION PROCESS

Patent №

US 8,504,331

Granted

2013-08-06

Filed 2010

Owner

AIRBUS OPERATIONS (S.A.S.)

Lab

AI components

5

ml · vision · planning · evo · hardware

Assignment

Recorded

Dataset

AIPD

2023_r1 edition

Application

12753633

A method is disclosed of identifying or fixing the value of the parameters (aerodynamic data) of a pre-determined set of equations forming the aerodynamic models of an aircraft in various configurations, so as to minimize the variance between the values anticipated by using these aerodynamic data, and reference data in cases of known configurations, includes the use of learning or optimization methods to determine at least one portion of the parameters' values. The method includes storing database data, choosing an optimization method or a neural network method, breaking the identification down into several partial identifications, carrying out successive partial identifications, validating the values found for the aerodynamic model's parameters or iterating the method according to a threshold criterion determined on the value of variances between the reference data and the values measured by the identified model.

AI classification

Machine learning1.00
Planning1.00
Vision0.99
AI hardware0.96
Evolutionary computation0.87
Knowledge representation0.15
Speech0.12
Natural language0.00

Ownership

AIRBUS OPERATIONS (S.A.S.)

assignment · 241820377

Assignors

CALMELS, BENOIT

On an employer assignment, the assignors are typically the inventors.

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