G05D1/046

Multicopter with self-adjusting rotors

In response to a change in a state of at least some part of a vehicle, a control signal associated with countering the change in the state while the vehicle is in an occupant change state is generated. The control signal is sent to a rotor in the vehicle while the vehicle is in the occupant change state, wherein the control signal causes the rotor to move in a manner that is counter to the change in the state and the rotor rotates about a substantially vertical axis of rotation and enables the vehicle to perform vertical takeoffs and landings.

Systems and methods for controlling an aerial vehicle using lateral propulsion and vertical movement

An aerial vehicle control system includes an aerial vehicle and a computing device. The aerial vehicle includes an altitude controller and a lateral propulsion controller. The computing device includes a processor and a memory. The memory stores instructions that, when executed by the processor, cause the computing device to obtain location data corresponding to a location of the aerial vehicle; obtain wind data; determine an altitude command, a latitude command, and a longitude command based on at least one of the location data or the wind data; cause the altitude controller to implement at least one of the altitude command, the latitude command, or the longitude command; and cause the lateral propulsion controller to implement at least one of the altitude command, the latitude command, or the longitude command.

Takeoff/Landing Stability Augmentation by Active Wind Gust Sensing

Systems and methods for enabling consistent smooth takeoffs and landings of vertical and/or short-runway takeoff and landing aircraft at sites with gusty conditions. The system includes a network of wind measurement stations deployed around the perimeter of a takeoff/landing site for spatio-temporally characterizing wind fluctuations (e.g., wind gusts) that enter a volume of airspace overlying the site, data processing means for deriving information about the fluctuations from the wind measurements, communication means for transmitting disturbance information to the aircraft, and a flight control system onboard the aircraft that is configured to use the disturbance information to control the aircraft in a manner that compensates for the fluctuations. The wind measurement units may include laser Doppler anemometers, sound detection and ranging systems or other devices capable of simultaneous spatially and temporally resolved wind measurements.

Flight restriction setup system, flight restriction setup method, and flight restriction setup program
10684628 · 2020-06-16 · ·

According to one implementation, a flight restriction setup system includes a damage detection unit and a flight restriction calculation unit. The damage detection unit detects a damage which arose in a structure composing an aircraft. The flight restriction calculation unit sets at least one flight restriction of the aircraft according to a degree of the damage detected by the damage detection unit. Further, according to one implementation, a flight restriction setup method includes: detecting a damage, which arose in a structure composing an aircraft, by a damage detection unit; and setting a flight restriction of the aircraft according to a degree of the damage detected by the damage detection unit.

SYSTEMS AND METHODS FOR CONTROLLING AN AERIAL VEHICLE USING LATERAL PROPULSION AND VERTICAL MOVEMENT
20200183398 · 2020-06-11 ·

An aerial vehicle control system includes an aerial vehicle and a computing device. The aerial vehicle includes an altitude controller and a lateral propulsion controller. The computing device includes a processor and a memory. The memory stores instructions that, when executed by the processor, cause the computing device to obtain location data corresponding to a location of the aerial vehicle; obtain wind data; determine an altitude command, a latitude command, and a longitude command based on at least one of the location data or the wind data; cause the altitude controller to implement at least one of the altitude command, the latitude command, or the longitude command; and cause the lateral propulsion controller to implement at least one of the altitude command, the latitude command, or the longitude command.

SYSTEMS AND METHODS FOR CONTROLLING AN AERIAL VEHICLE USING LATERAL PROPULSION AND VERTICAL MOVEMENT
20200183399 · 2020-06-11 ·

An aerial vehicle control system includes an aerial vehicle and a computing device. The aerial vehicle includes an altitude controller and a lateral propulsion controller. The computing device includes a processor and a memory. The memory stores instructions that, when executed by the processor, cause the computing device to obtain location data corresponding to a location of the aerial vehicle; obtain wind data; determine an altitude command, a latitude command, and a longitude command based on at least one of the location data or the wind data; cause the altitude controller to implement at least one of the altitude command, the latitude command, or the longitude command; and cause the lateral propulsion controller to implement at least one of the altitude command, the latitude command, or the longitude command.

Tether-Based Wind Estimation
20240019876 · 2024-01-18 ·

A method includes causing an aerial vehicle to deploy a tethered component to a particular distance beneath the aerial vehicle by releasing a tether connecting the tethered component to the aerial vehicle. The method also includes obtaining, from a camera connected to the aerial vehicle, image data that represents the tethered component while the tethered component is deployed to the particular distance beneath the aerial vehicle. The method additionally includes determining, based on the image data, a position of the tethered component within the image data. The method further includes determining, based on the position of the tethered component within the image data, a wind vector that represents a wind condition present in an environment of the aerial vehicle. The method yet further includes causing the aerial vehicle to perform an operation based on the wind vector.

MACHINE LEARNING BASED AIRFLOW SENSING FOR AIRCRAFT

Using a set of airflow sensors disposed on an airfoil of an aircraft, first airflow data including an amount of airflow experienced at each airflow sensor at a first time is measured. Using a trained neural network model, the first airflow data is analyzed to determine an airflow state of the aircraft. In response to determining that the aircraft is in the abnormal airflow state, a control surface and a power unit of the aircraft are adjusted. Responsive to the adjusting, the aircraft is returned to the normal airflow state.

Systems and methods for controlling an aerial vehicle using lateral propulsion and vertical movement

An aerial vehicle control system includes an aerial vehicle and a computing device. The aerial vehicle includes an altitude controller and a lateral propulsion controller The computing device includes a processor and a memory. The memory stores instructions that, when executed by the processor, cause the computing device to obtain location data corresponding to a location of the aerial vehicle; obtain wind data; determine an altitude command, a latitude command, and a longitude command based on at least one of the location data or the wind data; cause the altitude controller to implement at least one of the altitude command, the latitude command, or the longitude command; and cause the lateral propulsion controller to implement at least one of the altitude command, the latitude command, or the longitude command.

MULTICOPTER WITH SELF-ADJUSTING ROTORS
20240045446 · 2024-02-08 ·

During a vertical landing state, it is decided whether to switch from the vertical landing state to a self adjusting state. The VTOL vehicle includes the flight controller, the rotor, and a fuselage where the rotor is coupled to the fuselage via a vertical connector. If it is so decided, there is a switch from the vertical landing state to the self adjusting state. During the self adjusting state, a control signal for a rotor is generated where the control signal causes: (1) the rotor to rotate during the self adjusting state and (2) the VTOL vehicle to remain in a fixed position during the self adjusting state, in response to the control signal, and independent of docking infrastructure. During a rotors off state, a rotor off control signal is generated for the rotor that causes the rotor to turn off.