Design of Thrust Vectoring Vertical/Short Takeoff and Landing Aircraft Stability Augmentation Controller Based on L1 Adaptive Control Law

Aircraft landing control design based on artificial life and CMACs

This paper presents the use of different artificial life-based optimization algorithms and cerebellar model articulation controllers (CMACs) in aircraft automatic landing control. The proposed intelligent control system can act as an experienced pilot and guide the aircraft landed safely in wind disturbance condition. Lyapunov theory is applied to obtain adaptive learning rule and stability ana...

Geometric tracking control of thrust vectoring UAVs

In this paper a geometric approach to the trajectory tracking control of Unmanned Aerial Vehicles with thrust vectoring capabilities is proposed. The control design is suitable for aerial systems that allow to effectively decouple position and orientation tracking tasks. The control problem is developed within the framework of geometric control theory on the group of rigid displacements SE (3),...

Takeoff/landing Assessment of an Hsct with Pneumatic Lift Augmentation

Pneumatic technologies, such as Circulation Control airfoils, have been experimentally demonstrated to generate very high lift coefficients at low angles of attack. These blown airfoils offer great potential for advanced subsonic transports. Yet, the potential of this particular pneumatic technology is not limited to subsonic aircraft. In fact, Circulation Control has been chosen as an enabling...

Thrust Vectoring and Control of an Unstable System

Design of a Stability Augmentation System for an Unmanned Helicopter Based on Adaptive Control Techniques

The task of control of unmanned helicopters is rather complicated in the presence of parametric uncertainties and measurement noises. This paper presents an adaptive model feedback control algorithm for an unmanned helicopter stability augmentation system. The proposed algorithm can achieve a guaranteed model reference tracking performance and speed up the convergence rates of adjustable parame...