Data-driven model-free control of twin rotor aerodynamic systems: Algorithms and experiments

This paper suggests new data-driven Model-Free Control (MFC) and Model-Free Adaptive Control (MFAC) algorithms for Multi Input-Multi Output (MIMO) twin rotor aerodynamic systems. The discrete-time formulation of the algorithms is given in the framework of a MIMO control system structure with azimuth and pitch position control loops. The MFC and MFAC algorithms are validated by a set of experimental results on representative laboratory equipment. The performance comparison of the MFC- and MFAC-based MIMO control systems and azimuth and pitch position control is carried out considering three experimental scenarios.