System identification using flight test data

Thesis Type: Post Graduate

Institution Of The Thesis: Orta Doğu Teknik Üniversitesi, Faculty of Engineering, Department of Aerospace Engineering, Turkey

Approval Date: 2014




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.