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A Smart Data Approach to Determine an Aircraft Performance Model From an Operational Flight Data Base

Deiler, Christoph (2023) A Smart Data Approach to Determine an Aircraft Performance Model From an Operational Flight Data Base. AIAA SCITECH 2023 Forum, 23.-27. Jan. 2023, National Harbor, MD, USA. doi: 10.2514/6.2023-0797.

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Official URL: https://arc.aiaa.org/doi/10.2514/6.2023-0797


High-quality flight performance models are essential for the reliable prediction of the aircraft flight trajectory and accurate flight planning. An innovative process to determine an aircraft performance model from operational flight data with limited a priori knowledge is developed to target this goal. The given big data problem is solved by application of fundamental engineering knowledge and a specific data evaluation strategy. The resulting smart data approach is fundamentally different from existing artificial intelligence methods or other data analysis strategies to solve such big data problems. An a priori given aerodynamic model is updated to express the characteristics of an Airbus A320neo aircraft on the example of a given large database of operational flights; after the successful determination of an engine thrust model formulation based on the same flight data. The updated aerodynamic models for the different flap/slat configurations are compared to the information available from flight data and the results are discussed in terms of model quality. Finally, the model is validated with a dynamic simulation for an example flight data set.

Item URL in elib:https://elib.dlr.de/193453/
Document Type:Conference or Workshop Item (Speech)
Title:A Smart Data Approach to Determine an Aircraft Performance Model From an Operational Flight Data Base
AuthorsInstitution or Email of AuthorsAuthor's ORCID iDORCID Put Code
Deiler, ChristophUNSPECIFIEDhttps://orcid.org/0000-0002-7143-2631UNSPECIFIED
Date:19 January 2023
Refereed publication:Yes
Open Access:No
Gold Open Access:No
In ISI Web of Science:No
Keywords:Flight Performance, Big Data, System Identification, Aircraft Model, LNAS
Event Title:AIAA SCITECH 2023 Forum
Event Location:National Harbor, MD, USA
Event Type:international Conference
Event Dates:23.-27. Jan. 2023
Organizer:American Institute of Aeronautics and Astronautics, Inc.
HGF - Research field:Aeronautics, Space and Transport
HGF - Program:Aeronautics
HGF - Program Themes:other
DLR - Research area:Aeronautics
DLR - Program:L - no assignment
DLR - Research theme (Project):L - no assignment
Location: Braunschweig
Institutes and Institutions:Institute of Flight Systems > Flight Dynamics and Simulation
Institute of Flight Systems
Deposited By: Deiler, Dr. Christoph
Deposited On:20 Jan 2023 15:46
Last Modified:20 Jan 2023 15:46

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