Data-driven Model-Free Adaptive Control of twin rotor aerodynamic systems

This paper proposes data-driven Model-Free Adaptive Control (MFAC) algorithms for a Multi Input-Multi Output (MIMO) twin rotor aerodynamic systems. The azimuth and pitch position control are carried out using a MIMO control system structure with two control loops, one for each axis of motion. A set of experimental results on laboratory equipment is given to show the ability of the MFAC algorithms to control the mechanical ensemble even without decoupling and in spite of disturbances.