System identification using flight test data

Şimşek, Orkun
In this study, a linear model of an unmanned aerial vehicle (UAV) is developed by using frequency domain system identification methods. The data used in the identification methods are obtained by performing flight tests. To obtain appropriate flight test data for identification process, flight test maneuvers are designed. These flight test data are used in two main frequency domain system identification methods, namely, transfer function modeling and state space modeling. The linear models obtained by using these two methods are verified in time domain using flight test data obtained by applying inputs called as verification inputs. A UAV is designed, produced and instrumented in Turkish Aerospace Industries, Inc. (TAI) as a test platform. In this thesis, this test platform is used to obtain flight test data. In identification process, two programs are mainly used, namely, Comprehensive Identification from Frequency Responses (CIFER) and MATLAB & Simulink.


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In recent years, use of Unmanned Aerial Vehicle (UAV) especially for reconnaissance and combat missions has become very popular in worldwide. There is no onboard human operator exists for UAVs and they are generally controlled by remote human operators. Depending on the operational environment; sometimes it becomes nearly impossible to provide optimal or an acceptable UAV – target assignment and scheduling, satisfying the constraints required to accomplish the mission, for the operators in control center. I...
Citation Formats
O. Şimşek, “System identification using flight test data,” M.S. - Master of Science, Middle East Technical University, 2014.