A method for controlling an overdetermined system with multiple power-restricted actuators that perform a primary task and non-primary tasks, including: a) determining a pseudo-control command based on a physical model of the system, which pseudo-control command represents the torques and a total thrust force acting on the system, b) determining a control matrix, c) dissociating the control matrix into sub control matrices, wherein the sub control matrices and the corresponding sub pseudo-control commands correspond to the primary task for i=1 and for i>1 correspond to the non-primary task(s) and a priority of the non-primary tasks decreases with increasing index i, d) determining actuator control commands for solving the primary task, e) projecting the non-primary tasks into the null space of the primary task, and into respective null spaces of all of the non-primary tasks of higher priority, if present, and f) providing the actuator control commands from d) and e) at the actuators.

A method for measuring a windspeed vector is described. A true airspeed vector of a flying machine is measured while the machine is in flight using one or more nanowires on the flying machine. Each nanowire is configured to measure a value of local air velocity relative to the flying machine. A velocity of the flying machine relative to the ground is measured while the machine is in flight, and then (a) the true airspeed vector is subtracted from (b) the velocity of the flying machine relative to the ground. Other applications are also described.

A terminal that controls an unmanned flying device equipped with an imaging function, the terminal comprising: a function of acquiring information for setting a first operation of the unmanned flying device so that an object is imaged; a function of acquiring an image acquired as a result of the unmanned flying device performing the first operation from the unmanned flying device; a function of using the image to receive a designation of a part of the object from a user; and a function of setting a second operation of the unmanned flying device so that an image of the designated part of the object that is more detailed than the image of the designated part of the object acquired in the first operation is acquired.

In an aspect, a system includes a plurality of propulsors connected to an aircraft. Each propulsor of the plurality of propulsors is configured to operate independently from one another. A system includes a fuselage of an aircraft. A fuselage is configured to include a protective barrier and a height greater than the plurality of propulsors. A system includes a plurality of electric motors configured to adjust a torque of each propulsor of the plurality of propulsors. A system includes a computing device configured to detect a torque of each propulsor of the plurality of propulsors. A computing device is configured to determine a flight maneuver. A computing device is configured to adjust a property of each propulsor of the plurality of propulsors using the plurality of electric motors as a function of the detected torque.

A flight vehicle control and stabilization process detects and measures an orientation of a non-fixed portion relative to a fixed frame or portion of a flight vehicle, following a perturbation in the non-fixed portion from one or both of tilt and rotation thereof. A pilot or rider tilts or rotates the non-fixed portion, or both, to intentionally adjust the orientation and effect a change in the flight vehicle's direction. The flight vehicle control and stabilization process calculates a directional adjustment of the rest of the flight vehicle from this perturbation and induces the fixed portion to re-orient itself with the non-fixed portion to effect control and stability of the flight vehicle. The flight vehicle control and stabilization process also detects changes in speed and altitude, and includes stabilization components to adjust flight vehicle operation from unintentional payload movement on the non-fixed portion.

Presented are weight distribution systems for aircraft center of gravity (CG) management, methods for making/operating such systems, and aircraft equipped with CG management systems. A method is presented for managing the CG of an aircraft. The aircraft includes first and second landing gears and an airframe that removably attaches thereto one or more payloads and/or hardware modules. The method includes supporting the aircraft on a support leg that operatively attaches to the airframe and, while supported on the support leg, determining if the aircraft pivots onto the first or second landing gear. If the aircraft pivots onto either landing gear, the method responsively identifies a new airframe position for the payload/hardware module that will shift the aircraft's CG to within a calibrated “acceptable” CG range; doing so should balance the aircraft on the support leg. The payload/hardware module is then relocated to the new airframe position.

A terminal that controls an unmanned flying device equipped with an imaging function, the terminal comprising: a function of acquiring information for setting a first operation of the unmanned flying device so that an object is imaged; a function of acquiring an image acquired as a result of the unmanned flying device performing the first operation from the unmanned flying device; a function of using the image to receive a designation of a part of the object from a user; and a function of setting a second operation of the unmanned flying device so that an image of the designated part of the object that is more detailed than the image of the designated part of the object acquired in the first operation is acquired.

A system for flight control configured for use in an electric aircraft includes a sensor configured to capture an input datum. The system includes an inertial measurement unit (IMU) and configured to detect an aircraft angle and an aircraft angle rate. The system includes a flight controller including an outer loop controller configured to receive the input datum from the sensor, receive the aircraft angle from the IMU, and generate a rate setpoint as a function of the input datum. The system includes an inner loop controller configured to receive the aircraft angle rate, receive the rate setpoint from the outer loop controller, and generate a moment datum as a function of the rate setpoint. The system includes a mixer configured to receive the moment datum, map vehicle level control torques, received from the inner loop controller, to actuator output and generate a motor command datum as a function of the torque allocation.

Provided herein are systems and methods for an unmanned aerial vehicle (UAV) to skid and roll along an environmental surface. A rollable UAV includes an airframe assembly, a propulsion system, and a logic device configured to communicate with the propulsion system. The airframe assembly includes a cylindrical rolling guard configured to allow the UAV to roll along an environmental surface in contact with the cylindrical rolling guard. The logic device is configured to determine a rolling orientation for the UAV corresponding to the environmental surface, maneuver the UAV to place the cylindrical rolling guard of the airframe assembly in contact with the environmental surface, and roll the airframe assembly of the UAV along the environmental surface at approximately the determined rolling orientation while the cylindrical rolling guard is in contact with the environmental surface.

A method and device for generating an optimum aircraft vertical trajectory, including a unit performing iterative processing to determine, on each iteration, a next state from a computational state, by using an estimated overall cost for next states, each estimated overall cost, which is computed by a cost computation unit, being equal to the sum of a real cost computed up to the next state under consideration by using predetermined constraints and a cost estimated up to the current state of the aircraft. The estimated cost is computed using a deterministic neural network based on performance calculations for the aircraft without using energy constraints, allowing computation of this estimated cost and the estimated overall cost to be performed rapidly. The iterative processing is repeated until the determined state is situated in proximity to the current state of the aircraft, the corresponding trajectory part forming the optimum vertical trajectory.