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Data Parser Approaches for (Online) Parameter Estimation

Deiler, Christoph (2013) Data Parser Approaches for (Online) Parameter Estimation. DLRK 2013, 10.-12. Sept. 2013, Stuttgart.

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Finding maneuvers for parameter estimation in flight data records is a laborious task and traditionally performed postflight on ground. Two different data parser approaches to automatically detect these maneuvers in flight are presented. Both methods search the control input signals for significant changes that correspond to test maneuvers. The first algorithm is based on the signal time derivative of the input signal whereas the second method uses a Fast Orthogonal Wavelet Transform. Both algorithms are tested with flight test data recorded with the DLR research aircraft ATTAS. Performance results are compared and potential problems when applying the parsers to other data are discussed. Results indicate that both methods are applicable in an online parameter estimation tool.

Item URL in elib:https://elib.dlr.de/85046/
Document Type:Conference or Workshop Item (Speech)
Title:Data Parser Approaches for (Online) Parameter Estimation
AuthorsInstitution or Email of AuthorsAuthors ORCID iD
Refereed publication:No
Open Access:No
Gold Open Access:No
In ISI Web of Science:No
Keywords:System Identification, (Online) Parameter Estimation
Event Title:DLRK 2013
Event Location:Stuttgart
Event Type:national Conference
Event Dates:10.-12. Sept. 2013
HGF - Research field:Aeronautics, Space and Transport
HGF - Program:Aeronautics
HGF - Program Themes:Aircraft Research (old)
DLR - Research area:Aeronautics
DLR - Program:L AR - Aircraft Research
DLR - Research theme (Project):L - Simulation & Validation (old)
Location: Braunschweig
Institutes and Institutions:Institute of Flight Systems > Flight Dynamics and Simulation
Deposited By: Deiler, Christoph
Deposited On:05 Nov 2013 14:40
Last Modified:08 May 2014 23:19

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