An image-based visual servoing control method for UAVs based on fuzzy logic

Visual servoing is a method to achieve precise positioning and motion control of objects by visual feedback, it widely applied in the fields robotics unmanned aerial vehicles (UAVs) recent years. This paper presents novel image-based (IBVS) for UAVs based on fuzzy logic effectively solve problem under field view constraint improve efficiency. In this paper, servo gain designed input servoing, which solves feature loss IBVS improves Meanwhile, deep computing known data proposed unknown depth Jacobian matrix, makes easier converge. The effectiveness verified simulation quadrotor UAV equipped with monocular camera.