System and Method for Automated Take-Off and Landing of a High Altitude Long Endurance Aircraft Based on the Local Environment
Systems, devices, and methods including at least one computing device associated with a ground control station, the at least one computing device configured to: determine a starting position for an unmanned aerial vehicle (UAV) descent based on one or more local weather conditions; determine a flight pattern for landing the UAV based on the determined starting position for the UAV; and modify the determined flight pattern based on a change in the one or more local weather conditions and a current position of the UAV.
1 . A system, comprising:
at least one computing device associated with a ground control station, the at least one computing device configured to:
determine a starting position for an unmanned aerial vehicle (UAV) descent based on one or more local weather conditions;
determine a flight pattern for landing the UAV based on the determined starting position for the UAV; and
modify the determined flight pattern based on a change in the one or more local weather conditions and a current position of the UAV.
2 . The system of claim 1 , further comprising:
at least one sensor disposed proximate the ground control station, wherein the at least one sensor is in communication with the at least one communication device, and wherein the one or more local weather conditions comprise weather data from the at least one sensor, wherein the at least one sensor is a sonic detection and ranging (SODAR) sensor.
3 . The system of claim 1 , further comprising:
at least one sensor disposed proximate the ground control station, wherein the at least one sensor is in communication with the at least one communication device, and wherein the one or more local weather conditions comprise weather data from the at least one sensor, wherein the at least one sensor is a light detection and ranging (LIDAR) sensor.
4 . The system of claim 1 , wherein the one or more local weather conditions comprise a wind speed and a wind speed gradient, and wherein the determined flight pattern comprises a glide slope, a nominal descent rate, a turn rate, and an altitude.
5 . The system of claim 1 , wherein the current position of the UAV is based on a global positioning system (GPS) receiver of the UAV in communication with one or more pseudolites disposed proximate a landing area.
6 . A method, comprising:
determining, by at least one computing device associated with a ground control station, a starting position for an unmanned aerial vehicle (UAV) descent based on one or more local weather conditions;
determining, by the at least one computing device, a flight pattern for landing the UAV based on the determined starting position for the UAV; and
modifying, by the at least one computing device, the determined flight pattern based on a change in the one or more local weather conditions and a current position of the UAV.
7 . The method of claim 6 , further comprising:
sending, by at least one sensor disposed proximate the ground control station, the one or more local weather conditions from the at least one sensor to the at least one communication device, wherein the at least one sensor is a sonic detection and ranging (SODAR) sensor.
8 . The method of claim 6 , further comprising:
sending, by at least one sensor disposed proximate the ground control station, the one or more local weather conditions from the at least one sensor to the at least one communication device, wherein the at least one sensor a light detection and ranging (LIDAR) sensor.
9 . The method of claim 6 , wherein the one or more local weather conditions comprise a wind speed and a wind speed gradient, and wherein the determined flight pattern comprises a glide slope, a nominal descent rate, a turn rate, and an altitude.
10 . The method of claim 6 , wherein the current position of the UAV is based on a global positioning system (GPS) receiver of the UAV in communication with one or more pseudolites disposed proximate a landing area.