Nonlinear control methods have the potential to drastically reduce the time needed to design the flight control system for an aircraft or an Unmanned Aerial Vehicle (UAV). In the present work two nonlinear control methods are compared for the task of designing a basic flight control system for a UAV. The methods considered are Nonlinear Dynamic Inversion via Two-Timescale separation and State Dependent Riccati Equation. The target for the controller design is an Unmanned Reconnaissance Vehicle (URAV) developed by SAAB. A Simulink model of the URAV has been developed and the control methods have been tested in simulations on this model. Both control methods yield controllers with good performance and offer advantages over conventional linear methods.