A learning control system for rapid position control of aerial hovering vehicles

A learning based control system for rapid position control of aerial hovering vehicles is proposed. An aerial hovering vehicle uses angular orientation to accelerate during position control where target angle is preserve to produce acceleration. By arranging target angle, the acceleration and deceleration during position control can be configured, thus able to produce a rapid position control. In order to create a learning based control system for rapid position control, the characteristic of the position control by target angle of an aerial hovering vehicle is simplified an applied to an inverted pendulum system. The effectiveness was confirmed on the inverted pendulum system through simulations where several target position was assigned to be achieved.