Application of an improved LWR method to real-time aircraft parameter identification problems

Author

Campa, Giampiero ; Napolitano, Marcello ; Seanor, Brad ; Fravolini, Mario Luca ; Song, Yongkyu

Author_Institution

Dept. of Mech. & Aerosp. Eng., West Virginia Univ., Morgantown, WV, USA

Volume

1

fYear

2002

fDate

2002

Firstpage

197

Abstract

In this paper a recently introduced time domain-based parameter identification (PID) method is considered for the estimation of the aerodynamic coefficients of a specific aircraft. The basic method is the local weighted regression (LWR) technique and it is improved through the addition of a data retention-and-deletion strategy. The resulting PID algorithm was tested using NASA F/A-18 HARV flight data for evaluating its capabilities for online real time PID purposes. The results were then compared with theoretical estimates from the wind tunnel analysis and with the PID results from the maximum likelihood method, a well known PID method for off-line applications.

Keywords

aerodynamics; maximum likelihood estimation; military aircraft; parameter estimation; real-time systems; singular value decomposition; time-domain analysis; NASA FA18 HARV flight data; aerodynamic coefficients; data retention deletion strategy; local weighted regression; maximum likelihood method; military aircraft; parameter identification; real time systems; singular value decomposition; time domain-analysis; Aerodynamics; Aerospace control; Aerospace electronics; Aerospace engineering; Aircraft propulsion; Algorithm design and analysis; Least squares methods; Linear regression; Maximum likelihood estimation; Parameter estimation;

fLanguage

English

Publisher

ieee

Conference_Titel

American Control Conference, 2002. Proceedings of the 2002

ISSN

0743-1619

Print_ISBN

0-7803-7298-0

Type

conf

DOI

10.1109/ACC.2002.1024803

Filename

1024803