Aircraft System Identification and Parameter Estimation in the Presence of Noise using Least-Square Method

System Identification is used to derive the dynamic and mathematical model of a system using experimental data. If the case study system is an aircraft, this process is called aircraft system identification, which is used to estimate the stability and control derivatives of the aircraft. The least squares method is one of the methods used in the field of time and frequency to estimate the parameters of the aircraft. In this paper, system identification and estimation of F-16 aerodynamic coefficients are performed using the least squares method and the equation error approach. Hence the main focus is on the formulation of the aerodynamic model for estimating unknown coefficients using the least squares method. In this regard, nonlinear 6-DOF of the F-16 aircraft was simulated and using its results, system identification and estimation of transfer function, force coefficients and aerodynamic moments of the aircraft lateral-directional channel using regression of least squares and the results are analyzed. The results show that the modeling and estimation of the coefficients is compatible with the experimental data and can be suitable for further studies, including control objectives.