In an aspect, a system for propeller parking control for an electric aircraft. The system include at least a sensor and a computing device. A sensor may be configured to generate angular datum. The computing device may be configured to generate a trajectory as a function of angular datum. The computing device may also be configured to initiate the transition from hover to fixed-wing flight as a function of a trajectory.

Disclosed is a method for obtaining meteorological data by a UAS, the UAS including at least one UAV, a control center and a wireless communication interface. The UAV is equipped with a meteorological data sensor and a flight controller. The method includes the control center sending flight instruction data to the UAV, and performing flight. The UAV collects raw meteorological data and flight data and transmits the collected raw meteorological data and the flight data in real time to the control center, the flight data being collected by any one of a position sensor, a motion sensor, an environment sensor and/or a combination thereof included in the flight controller. The control center calculates meteorological data based on the received raw meteorological data and the flight data and sends return instruction data. The at least one UAV returns to the UAS accordingly.

A method of controlling a transition aircraft having actuators and which transitions between a first take-off/landing regime and a second horizontal flight regime, including: controlling a first actuator subset in the first regime and a second actuator subset in the second regime using the flight controller, by: a) providing measurements or estimates of flight parameters; b) depending on a current regime, checking whether a predefined set of conditions for that regime are fulfilled, by comparing flight parameters with threshold values; c) if conditions are fulfilled, signalling a decision-maker and awaiting confirmation regarding a transition to the other regime; d) instructing the flight controller to make the transition if approved; e) after transitioning in step d), commanding the aircraft according to the other regime; and f) returning to step a). Step e) includes gradually blending in a control law for the other regime over time while blending out the current regime.

A method of adjusting a directional movement ability in an aircraft having two or more rotors includes receiving a desired thrust demand for each rotor of the two or more rotors, comparing the desired thrust demands to determine a maximum thrust demand, determining whether the maximum thrust demand exceeds a maximum thrust limit of the two or more rotors, and adjusting each desired thrust demand based on whether the maximum thrust demand exceeds the maximum thrust limit to provide an adjusted thrust demand for each rotor of the two or more rotors. Each rotor can be operated based on a respective adjusted thrust demand.

Provided in this disclosure is a system and methods for wind compensation of an electric aircraft. More specifically, provided in this disclosure is a controller of an aircraft configured to use a plant model for compensating for wind forces. The processor is configured to receive, from the sensor, at least a geographical datum of the electric aircraft.

A method for unmanned delivery of an item to a desired delivery location includes receiving, at an unmanned vehicle, first data representative of an approximate geographic location of the desired delivery location, receiving, at the unmanned vehicle, second data representative of a fiducial expected to be detectable at the desired delivery location, using the first data to operate the unmanned vehicle to travel to the approximate geographic location of the desired delivery location, upon arriving at the approximate geographic location of the desired delivery location, using the second data to operate the unmanned vehicle to detect the fiducial; and upon detecting the fiducial, using the fiducial to operate the unmanned vehicle to deliver the item.

The disclosure relates to a battery driven flight vehicle. The battery-driven flight vehicle, comprising: a control unit; and a battery charged by a power supply device, wherein the control unit executes flight control in accordance with a charging speed of the battery. The disclosure also relates to a method of providing a Mobility as a Service (MaaS) in which the flight vehicle is used.

A control device controls a flight of an eVTOL including a rotary wing which is driven by a driving device to generate a rotational lift, a fixed wing which generates a gliding lift, and a lift adjustment mechanism which adjusts the gliding lift. The control device includes a rotary wing control unit which adjusts the rotational lift by controlling driving of the rotary wing, and a fixed wing control unit which adjusts the gliding lift by controlling driving of the lift adjustment mechanism. When an abnormality of the driving device is predicted or detected in a flight time of an electric flight vehicle, the rotary wing control unit and the fixed wing control unit perform lift adjustment control such that the rotary wing control unit reduces the rotational lift and the fixed wing control unit increases the gliding lift.

A system and method for the remote piloting of an electric aircraft is illustrated. The system comprises a remote device located outside an electric aircraft, wherein the remote device is configured to receive a flight command input from a user and transmit the flight command input to a flight controller located on the aircraft. The flight controller is located inside the aircraft and configured to receive the flight command input from the remote device and enact the flight command autonomously as a function of the flight command input.

Systems and methods for controlling aerial vehicles are provided. An aerial vehicle includes a single circuit board with a number of processor devices and a memory including instructions to perform autonomy operations. The autonomy operations include obtaining GNSS data from GNSS assemblies electrically connected to the processor devices, APNT data from APNT assemblies electrically connected to the processor devices, and radar data from the radar assemblies electrically connected to the processor devices. Each of the assemblies are disposed on the same circuit board that includes the number of processor devices. The processor devices determine a vehicle location based on the GNSS data, the APNT data, and the radar data, identify airborne objects based on the radar data, generate a motion plan based on the vehicle location and the identified objects, and initiate a motion of the aerial vehicle based on the vehicle location.