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 method includes capturing, by a sensor on an unmanned aerial vehicle (UAV), an image of a delivery location. The method also includes determining, based on the image of the delivery location, a segmentation image. The segmentation image segments the delivery location into a plurality of pixel areas with corresponding semantic classifications. The method additionally includes determining, based on the segmentation image, a percentage of obstacle pixels within a surrounding area of a delivery point at the delivery location, wherein each obstacle pixel has a semantic classification indicative of an obstacle in the delivery location. The method further includes based on the percentage of obstacle pixels being above a threshold percentage, aborting a delivery process of the UAV.

A method includes capturing, by a sensor on an unmanned aerial vehicle (UAV), an image of a delivery location. The method also includes determining, based on the image of the delivery location, a segmentation image. The segmentation image segments the delivery location into a plurality of pixel areas with corresponding semantic classifications. The method additionally includes determining, based on the segmentation image, a percentage of obstacle pixels within a surrounding area of a delivery point at the delivery location, wherein each obstacle pixel has a semantic classification indicative of an obstacle in the delivery location. The method further includes based on the percentage of obstacle pixels being above a threshold percentage, aborting a delivery process of the UAV.

An assistance system and method for assisting with the restart of at least one engine of an aircraft includes determining that at least one engine of the aircraft has flamed out and controlling an automated descent of the aircraft down to a predefined target altitude below which the altitude of the aircraft is conducive to at least one attempt to restart the at least one stopped engine.

In accordance with some embodiments, a system for controlling an aircraft is provided. The system can include a computing device, wherein the computing device includes at least one processor configured to control a flight path angle of the aircraft, and wherein the aircraft is a blown lift aircraft. The system can also include a control operator communicatively coupled to the computing device, wherein the control operator is configured to have at least two selectable settings. The system can also include at least two thrust-producing devices operatively coupled to a pair of wings on the aircraft and communicatively coupled to the computing device. The computing device may control the flight path angle of the aircraft by selectively operating the at least two thrust-producing devices based on a plurality of conditions provided by a plurality of sensors on the aircraft and a selected setting of the control operator.

In accordance with some embodiments, a system for controlling an aircraft is provided. The system can include a computing device, wherein the computing device includes at least one processor configured to control a flight path angle of the aircraft, and wherein the aircraft is a blown lift aircraft. The system can also include a control operator communicatively coupled to the computing device, wherein the control operator is configured to have at least two selectable settings. The system can also include at least two thrust-producing devices operatively coupled to a pair of wings on the aircraft and communicatively coupled to the computing device. The computing device may control the flight path angle of the aircraft by selectively operating the at least two thrust-producing devices based on a plurality of conditions provided by a plurality of sensors on the aircraft and a selected setting of the control operator.

Disclosed embodiments generally relate to systems and methods for flight control of aircrafts. In some embodiments, a flight control system is configured to determine desired commands for the electric aircraft, determine at least one reference command for an effector based on the desired commands and one or more aircraft conditions, monitor energy states of the plurality of battery packs, where at least a first battery pack of the plurality of battery packs is electrically isolated from at least a second battery pack of the plurality of battery packs, adjust the at least one reference command based on the monitored energy states of the plurality of battery packs, generate control commands for the plurality of effectors based on the adjusted at least one effector reference command, and control the plurality of effectors according to the generated control commands to meet the one or more desired commands of the electric aircraft.

A computer-implemented method of enabling optimisation of trajectory for a vehicle, the method comprising: determining a trajectory for the vehicle using: an algorithm; a vehicle model defining path constraints for the vehicle through space; a propulsion system model defining parameters of a propulsion system of the vehicle; an objective function defining one or more objectives; and controlling output of the determined trajectory.

A method, apparatus, system, and computer program product for controlling landing of a vertical landing vehicle. In one illustrative example, a method controls landing of a vertical landing vehicle. A landing profile for landing the vertical landing vehicle is determined by the computer system using a third derivative of a position equation, an initial position, an initial speed, a final speed, and a touchdown point for the vertical landing vehicle. Landing of the vertical landing vehicle is controlled using the landing profile.

A method, apparatus, system, and computer program product for controlling landing of a vertical landing vehicle. In one illustrative example, a method controls landing of a vertical landing vehicle. A landing profile for landing the vertical landing vehicle is determined by the computer system using a third derivative of a position equation, an initial position, an initial speed, a final speed, and a touchdown point for the vertical landing vehicle. Landing of the vertical landing vehicle is controlled using the landing profile.