A landing platform control method,
system, medium, and product for an unmanned transport vehicle are disclosed. The method involves acquiring the vehicle's
linear acceleration and
angular velocity, as well as the relative position and velocity of the unmanned aerial vehicle (UAV), in the vehicle's coordinate
system. A dynamic
spatial mapping function, eliminating the influence of inertial forces, is constructed to map the UAV's relative position to a virtual pure
inertial coordinate system. A descent trajectory is planned in the virtual coordinate
system, and the origin tangential vector is extracted. The physical reference normal vector in the vehicle's coordinate system is obtained through inverse mapping. The dynamic sink rate of the UAV is calculated based on the
relative velocity, and the attitude compensation angle is determined accordingly. The physical reference normal vector is then deflected to generate the final landing
reference vector. The landing platform is driven to move, ensuring that its surface normal is collinear with the final landing
reference vector. This application aims to reduce the risk of attitude
instability during dynamic landing of UAVs, improve the smoothness and safety of landing while in motion, and thus enhance the overall operational efficiency of the air-ground cooperative transportation system.