Intelligent Control of an Aerodynamical System

The paper presents the designed prototype for a highly nonlinear, multi-input-multi-output aerodynamic system. The laboratory scale equipment is created to simulate the operations of unmanned aerial vehicles. The prototype is conceived to be cheap and easy to use, in order to be multiplied for laboratory works. It is also described the first tested control strategy, based on dynamic nonlinear model inversion using artificial neural networks. The experimental results prove the efficiency of the equipment, being able to test different real operation behaviors.