Estimation of Aerodynamic Parameters in Real-Time: Implementation and Comparison of a Sequential Frequency Domain Method and a Batch Method
Independent thesis Advanced level (degree of Master (Two Years)), 20 credits / 30 HE creditsStudent thesis
The flight testing and evaluation of collected data must be efficient during intensive flight-test programs such as the ones conducted during development of new aircraft. The aim of this thesis has thus been to produce a first version of an aerodynamic derivative estimation program that is to be used during real-time flight tests. The program is to give a first estimate of the aerodynamic derivatives as well as check the quality of the data collected and thus serve as a decision support during tests.
The work that has been performed includes processing of data in order to use it in computations, comparing a batch and a sequential estimation method using real-time data and programming a user interface. All computations and programming has been done in Matlab.
The estimation methods that have been compared are both built on transforming data to the frequency domain using a Chirp z-transform and then estimating the aerodynamic derivatives using complex least squares with instrumental variables.The sequential frequency domain method performs estimates at a given interval while the batch method performs one estimation at the end of the maneuver. Both methods compared in this thesis produce equal results. The continuous updates of the sequential method was however found to be better suited for a real-time application than the single estimation of the batch method.
The telemetric data received from the aircraft must be synchronized to a common frequency of 60 Hz. Missing samples of the data stream must be linearly interpolated and different units of measured parameters must be corrected in order to be able to perform these estimations in the real-time test environment.
Place, publisher, year, edition, pages
2016. , 62 p.
Aerodynamic coefficients, least squares, chirp z-transform, instrumental variables, missing data
IdentifiersURN: urn:nbn:se:liu:diva-132807ISRN: LIU-IEI-TEK-A–16/02498–SEOAI: oai:DiVA.org:liu-132807DiVA: diva2:1050382
Subject / course
Fluid and Mechanical Engineering Systems
Lundström, David, PhD
Krus, Petter, Professor