In recent years, the versatility of the Unmanned Aerial Vehicle (UAV) has translated into an increase in its range of applications. Border patrol, search and rescue, surveillance... are operations fixed wing typologies excel at. However, the introduction of fixed wing UAV is linked to the development of cost effective algorithms that implement advanced control schemes. In this project, a Model Predictive Control (MPC) control strategy is applied to the fixed wing mini- UAV Fulmar X. The proposed algorithm adopts a Receding Horizon approach that recalculates at each time instant a linear representation of aircraft dynamics. The performance of the controller is tested in a series of isolated manoeuvres that represent the expected aircraft operation envelope. This process leads to the definition of a set of control modules, on the basis of which it is possible to divide a complete flight mission into different segments. The results indicate that the controller behaves adequately throughout the nominal aircraft flight envelope, suppressing the instabilities associated with the presence of an unstable spiral mode and allowing for transitions of speed and altitude with an overshoot and a steady state error smaller than 1:3% and 0:30% respectively.