NDLI: Flight Test Maneuvers Optimization for Parameter Identification

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Flight Test Maneuvers Optimization for Parameter Identification

Content Provider	Semantic Scholar
Author	Salis, Nei
Copyright Year	2005
Abstract	Abstract. This paper concerns parameter identification flight test maneuvers development and proposes an optimization technique that demonstrates the input signal importance for the quality and reliability of the entire system identification process applied to flight dynamics. The technique’s goal is to reach better levels of identificability through optimized excitation signals specification. Regarding the efficiency of asymptotically unbiased estimators, such as maximum likelihood, the sensitivities of the output equations to the system parameters are maximized. The sensitivity matrix and Cramer-Rao lower bounds concepts are used as optimization criteria to generate excitation signals which should minimize the parameter estimation uncertainties. This approach depends only on the a priori knowledge about the dynamic model and has as starting point square waves bang-bang signals. Concerning the optimization procedure, a genetic algorithm is used, aiming at providing global solutions. The efficiency of this technique is shown through a Monte Carlo analysis of the parameter estimation process, using a system identification tool developed by ITA and EMBRAER. The linear longitudinal aircraft dynamics was used to generate simulated data, enabling comparison of the sub-optimal and optimal inputs. The parameter estimation reliability improvement is shown and the need for specification of optimized flight test maneuvers for parameter identification becomes clear.
File Format	PDF HTM / HTML
Alternate Webpage(s)	https://www.abcm.org.br/anais/cobem/2005/PDF/COBEM2005-0660.pdf
Language	English
Access Restriction	Open
Content Type	Text
Resource Type	Article

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