14th IFAC Symposium on System Identification, SYSID 2006

SYSID-2006 Paper Abstract


Paper ThA3.4

Seren, Cédric (AIRBUS FRANCE), Bommier, François (AIRBUS FRANCE), Bucharles, Alain (ONERA - CERT), Verdier, Laurent (AIRBUS FRANCE), Alazard, Daniel (ONERA-CERT / SUPAERO)

Flight Test Protocol Optimization Using Genetic Algorithms

Scheduled for presentation during the Regular Session "Identification and detection methods with applications" (ThA3), Thursday, March 30, 2006, 11:30−11:50, Hunter Room

14th IFAC Symposium on System Identification, March 29 - 31, 2006, Newcastle, Australia

This information is tentative and subject to change. Compiled on September 24, 2018

Keywords Input and Excitation Design, Nonlinear System Identification, Identifiability


The growing development of numerical simulation in aviation industry raises the issue of the quality of the models implemented. Flight test protocols are designed and flown to adjust the coefficients of the predicted aerodynamic model to the real aircraft in order to improve the flight dynamics model accuracy.

The aircraft model becomes of major importance in every new aircraft program. Consequently, the constraint on its reliability increases. This paper describes a new optimization methodology using Genetic Algorithms (GA) for the design of optimal flight test protocols and provides a comparison with alternative method such as Dynamic Programming (DP).