Abstract: A system for controlling an aerospace vehicle by exploiting the dihedral effect to control bank angle of the vehicle by modulating sideslip. The control system includes a closed feedback loop comprising an outer loop for producing a sideslip angle command to induce a roll moment through the dihedral effect to satisfy a bank angle command, and an inner loop for taking the sideslip angle command, and possibly an angle of attack command to produce control input for flightpath hardware controls. Flightpath control hardware include pairs of flaps arranged longitudinally along the leading and trailing edges of an aeroshell of an aerospace entry vehicle to control pitch for changing the angle of attack, and another pair of flaps arranged laterally to control yaw for changing the bank angle via the sideslip angle, and also moving mass along ribs to control pitch and yaw. Thrusters can be fired to induce roll.

Abstract: A system for controlling an aerospace vehicle by exploiting the dihedral effect to control bank angle of the vehicle by modulating sideslip. The control system includes a closed feedback loop comprising an outer loop for producing a sideslip angle command to induce a roll moment through the dihedral effect to satisfy a bank angle command, and an inner loop for taking the sideslip angle command, and possibly an angle of attack command to produce control input for flightpath hardware controls. Flightpath control hardware include pairs of flaps arranged longitudinally along the leading and trailing edges of an aeroshell of an aerospace entry vehicle to control pitch for changing the angle of attack, and another pair of flaps arranged laterally to control yaw for changing the bank angle via the sideslip angle, and also moving mass along ribs to control pitch and yaw. Thrusters can be fired to induce roll.

Abstract: Systems and methods are provided for improving the flight safety of fixed- and rotary-wing unmanned aerial systems (UAS) operating in complex dynamic environments, including urban cityscapes. Sensors and computations are integrated to predict local winds and promote safe operations in dynamic urban regions where GNSS and other network communications may be unavailable. The system can be implemented onboard a UAS and does not require in-flight communication with external networks. Predictions of local winds (speed and direction) are created using inputs from sensors that scan the local environment. These predictions are then used by the UAS guidance, navigation, and control (GNC) system to determine safe trajectories for operations in urban environments.