Patent classifications
B64U30/295
Aircraft, in particular a personal air mobility aircraft or drone, an annular propeller unit, and a boat comprising this unit
An aircraft, in particular a personal air mobility aircraft or a drone, having one or more annular propellers, with one or more blades extending radially from a rotor ring body towards the axis of the rotor ring, and one or more belt transmissions, which connect the rotor ring of each annular propeller with the output shaft of a motor unit including an electric motor. Various aircraft configurations include a vertical take-off and horizontal flight configuration. The aircraft surfaces are covered by groups of photovoltaic solar cells connected to a main battery pack for powering the electric motors that drive the annular propellers, and to an auxiliary electric battery for powering the on-board electrical circuit.
EFFICIENT ALLOCATION OF RESOURCES IN A FLEET MANAGEMENT SYSTEM
In some embodiments, a computer-implemented method for managing resources of a fleet of unmanned aerial vehicles (UAVs) is provided. A computing system creates a mission record and one or more candidate records. Each candidate record of the one or more candidate records represents one or more resources for accomplishing a mission represented by the mission record. The computing system adds a mission node representing the mission record to a resource competition network graph (RCN graph). The computing system adds one or more candidate nodes representing the one or more candidate records to the RCN graph. The computing system determines an optimized allocation of candidate records to mission records using at least a subgraph of the RCN graph. A candidate record is determined to commit to a mission record, and the computing system updates the RCN graph to commit the candidate record to the mission record.
EFFICIENT ALLOCATION OF RESOURCES IN A FLEET MANAGEMENT SYSTEM
In some embodiments, a computer-implemented method for managing resources of a fleet of unmanned aerial vehicles (UAVs) is provided. A computing system creates a mission record and one or more candidate records. Each candidate record of the one or more candidate records represents one or more resources for accomplishing a mission represented by the mission record. The computing system adds a mission node representing the mission record to a resource competition network graph (RCN graph). The computing system adds one or more candidate nodes representing the one or more candidate records to the RCN graph. The computing system determines an optimized allocation of candidate records to mission records using at least a subgraph of the RCN graph. A candidate record is determined to commit to a mission record, and the computing system updates the RCN graph to commit the candidate record to the mission record.
Flying apparatus and method for controlling the same
Provided is a flying apparatus and a method for controlling the same which are capable of precisely measuring a remaining charge of a battery with a simple configuration. A flying apparatus 10 comprises a rotor 11, a motor 12, a power converting unit 14, a battery 21, and a calculation control unit 15. The rotor 11 rotates to generate thrust for causing an airframe base unit 16 to float, and the motor 12 is supplied with an electric power from the battery 21 to rotationally drive the rotor 11. The calculation control unit 15 generates an instruction signal to bring the airframe base unit 16 into a certain positional posture. The power converting unit 14 adjusts an electric power to be supplied from the battery 21 to the motor 12 based on the instruction signal inputted. Further, the calculation control unit 15 estimates a remaining charge of the battery 21 based on the instruction signal.
Flying apparatus and method for controlling the same
Provided is a flying apparatus and a method for controlling the same which are capable of precisely measuring a remaining charge of a battery with a simple configuration. A flying apparatus 10 comprises a rotor 11, a motor 12, a power converting unit 14, a battery 21, and a calculation control unit 15. The rotor 11 rotates to generate thrust for causing an airframe base unit 16 to float, and the motor 12 is supplied with an electric power from the battery 21 to rotationally drive the rotor 11. The calculation control unit 15 generates an instruction signal to bring the airframe base unit 16 into a certain positional posture. The power converting unit 14 adjusts an electric power to be supplied from the battery 21 to the motor 12 based on the instruction signal inputted. Further, the calculation control unit 15 estimates a remaining charge of the battery 21 based on the instruction signal.
Multiple flight mode aircraft architectures and controls
An aircraft is disclosed. The aircraft includes a first pair of wings, each wing in the first pair of wings including one or more actuating flaps configured to move to facilitate the aircraft transitioning between a forward cruise mode and a vertical hover mode, and operating in one of the forward cruise mode or the vertical hover mode. The aircraft further includes a second pair of wings, and one or more propellers coupled to the second pair of wings and oriented horizontally to provide upward lift.
Multiple flight mode aircraft architectures and controls
An aircraft is disclosed. The aircraft includes a first pair of wings, each wing in the first pair of wings including one or more actuating flaps configured to move to facilitate the aircraft transitioning between a forward cruise mode and a vertical hover mode, and operating in one of the forward cruise mode or the vertical hover mode. The aircraft further includes a second pair of wings, and one or more propellers coupled to the second pair of wings and oriented horizontally to provide upward lift.
Methods and Systems for Determining Flight Plans for Vertical Take-Off and Landing (VTOL) Aerial Vehicles
Systems, devices, and methods for receiving, by a processor having addressable memory, data representing a geographical area for imaging by one or more sensors of an aerial vehicle; determining one or more straight-line segments covering the geographical area; determining one or more waypoints located at an end of each determined straight-line segment, where each waypoint comprises a geographical location, an altitude, and a direction of travel; determining one or more turnarounds connecting each of the straight-line segments, where each turnaround comprises one or more connecting segments; and generating, by the processor, a flight plan for the aerial vehicle comprising: the determined one or more straight-line segments and the determined one or more turnarounds connecting each straight-line segment.