In order to develop and implement the laws piloting for an aircraft, flights validation will be necessary. This could in fact be done, in a first step, by using flight simulators. In this work, we choose the predator virtual model flying in Microsoft TM flight simulator (MSFS) and we propose the procedure of controlling its attitude. We send the adaptive integral high-order sliding mode (AIHOSM) inputs piloting control. This work is a realtime virtual simulation. For the AIHOSM controller, we propose the gain adaptation for reduction of chattering phenomena and possibility to control the aircraft presented by the uncertain nonlinear systems in which the uncertainties have unknown bounds. This technique is more robust and simpler to implement than the quaternion one and only needs the information about the sliding mode surface.

In this work, a new approach for aircraft aerodynamic behavior identification by using virtual simulation is proposed. Both theoretical and experimental aspects are presented. A simulation environment, Microsoft Flight Simulator, is used as the test platform. To make the communication with this environment possible, a real-time interface that allows the read and/or write from and to the shared memory layer of this flight simulator is developed. Using this interface, the virtual aircrafts sensors are read and the commands are written to the inputs control (thrust, elevators, ailerons, trims, and rudder). Also, an identification of the aerodynamic coefficients’ derivatives using the total least square technique is presented. The piloting law expression is toughly tied to those derivatives which are unknown and not always available. The aircraft aerodynamic model is then used to calculate the aerodynamic coefficients. We determine the aerodynamic performances of the wing which is based on the polar drag, the computation of the maximum lift-to-drag coefficient ratio and the determination of the moment in which the aerodynamic stall phenomenon appears.