Comparison of linear and nonlinear aerodynamic parameter estimation approaches for an unmanned aerial vehicle using unscented Kalman filter

Aerodynamic parameter estimation provides an effective way for aerospace system modeling using measured data from flight tests,especially for the purpose of developing elaborate simulation environments and designing control systems of unmanned aerial vehicle(UAV)with short design cycles and reduced cost.However,parameter identification of airplane dynamics by nonlinear models is complicated because of the noisy and biased sensor measurements.Using linear models for system identification is an alternative wa...