Bashkenov, Samat2024-08-272024-08-272024-04Bashkenov, S. (2024). Parameter Identification Of A Model Plane From Wind Tunnel Data. Nazarbayev University School of Engineering and Digital Scienceshttps://nur.nu.edu.kz/handle/123456789/8246The study examines parameter identification and identifiability of aircraft model parameters using a wind tunnel. Initially, a second-order canonical equation was used to perform identifiability and parameter identification tests in Simulink and MATLAB. In this simulation part, three different input signals, step, pulse, and 3211 are applied. The results of the identifiability tests for all three types of input signals showed which parameter can be determined. Next, the transfer function and least squares methods were used to identify the parameters in the MATLAB/Simulink program, which determined the exact values of the parameters. A one degree of freedom aircraft model is tested in a wind tunnel in longitudinal pitching motion. The aim is to conduct an identifiability test and perform parameter identification using the transfer function method with MATLAB/Simulink. Step and 3211 input types were used. The identifiability test showed that the aerodynamic moment derivative with respect to angle of attack (𝑀 ) has the highest sensitivity, which means it has the highest α accuracy. Also, sensitivity analysis obtained that other values are within same order of magnitude, hence the evaluation is possible for these parameters. It means that these parameters can be identified, but with different accuracy. The parameter identification was conducted successfully utilizing step and 3211 input signals. It can be highlighted that the result was more accurate using 3211 input signal. The study effectively identified the parameter of the aircraft model using theoretical calculations, testing, and sensitivity analysis.enAttribution-NonCommercial-ShareAlike 3.0 United StatesType of access: RestrictedMaster`s thesis