Patent classifications
G05D1/0072
Systems and methods for flight control system using simulator data
A system for flight control system using simulator data for an electric aircraft is presented. The system includes a computing device, the computing device configured to receive a plurality of measured flight data, simulate a plurality of aircraft performance model outputs as a function of a flight simulator and the plurality of measured flight data, determine a moment datum as a function of the plurality of measured flight data and the plurality of aircraft performance model outputs, generate an allocation command datum as a function of the moment datum and the plurality of aircraft performance model outputs, and perform a torque allocation on a flight component of a plurality of flight components as a function of the allocation command and the moment datum.
Unmanned aerial vehicle with co-axial reversible rotors
The present disclosure pertains to a multi-rotor unmanned aerial vehicle (UAV). Aspects of the present disclosure provide a UAV that includes at least four arms, each configured with a co-axial pair of contra rotating propellers, wherein each propeller has capability of rotating reversibly with associated reversal of direction of thrust, and an autopilot control system that controls rotational direction and speed of the at least four co-axial pairs of propellers to maintain yaw stability, roll stability and pitch stability of the UAV, wherein in an event of failure of any one co-axial pair out of the at least four co-axial pairs of propellers, the autopilot control system reverses direction of rotation and thereby direction of thrust of at least one propeller of any functional pair.
SYSTEM FOR ELECTRIC AIRCRAFT NAVIGATION
A system for electric aircraft navigation includes a sensor configured to detect a navigation signal, a flight controller, wherein the flight controller is configured to receive the navigation signal, identify a navigation status as a function of the navigation signal, and determine an aircraft adjustment as a function of the navigation status, and a pilot display, wherein the pilot display is configured to display the aircraft adjustment to a user, and present an autonomous function configured to enact the aircraft adjustment automatically.
METHOD FOR ASSISTING THE PILOTING OF A ROTORCRAFT COMPRISING AT LEAST TWO ENGINES
A method for assisting the piloting of a rotorcraft including at least two engines capable of transmitting engine torque to at least one main rotor, the assistance method comprising the following steps: periodically determining a current position of the rotorcraft; making a first periodic comparison between the current position and a decision point; identifying an engine failure; making a second periodic comparison between the current position of the rotorcraft and a touchdown point; periodically determining an emergency landing profile, the emergency landing profile being generated at least depending on a result of the second periodic comparison; and periodically generating control orders to pilot the rotorcraft according to the emergency landing profile.
Controlled flight of a multicopter experiencing a failure affecting an effector
According to a first aspect of the invention, there is provided a method for operating a multicopter experiencing a failure during flight, the multicopter comprising a body, and at least four effectors attached to the body, each operable to produce both a torque and a thrust force which can cause the multicopter to fly when not experiencing said failure. The method may comprise the step of identifying a failure wherein the failure affects the torque and/or thrust force produced by an effector, and in response to identifying a failure carrying out the following steps, (1) computing an estimate of the orientation of a primary axis of said body with respect to a predefined reference frame, wherein said primary axis is an axis about which said multicopter rotates when flying, (2) computing an estimate of the angular velocity of said multicopter, (3) controlling one or more of said at least four effectors based on said estimate of the orientation of the primary axis of said body with respect to said predefined reference frame and said estimate of the angular velocity of the multicopter. The step of controlling one or more of said at least four effectors may be performed such that (a) said one or more effectors collectively produce a torque along said primary axis and a torque perpendicular to said primary axis, wherein (i) the torque along said primary axis causes said multicopter to rotate about said primary axis, and (ii) the torque perpendicular to said primary axis causes said multicopter to move such that the orientation of said primary axis converges to a target orientation with respect to said predefined reference frame, and (b) such that said one or more effectors individually produce a thrust force along said primary axis.
SYSTEM AND METHOD OF PROPULSOR MANAGEMENT
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.
Systems and methods for optimization of lag for a pilot intervention
Systems and methods for lag optimization of pilot intervention is provided. A critical event may be identified while an electric aircraft is in an autopilot mode and operating primarily under autonomous functions; as a result, a flight controller of the system may switch from an autopilot mode to a manual mode, allowing pilot intervention. System made determine a lag duration as a function of the critical event and a phase of operation of the electric aircraft to determine a lag duration before pilot intervention occurs.
Drone control method and device and drone
This application discloses a drone control method and device and a drone and pertains to the technical field of drone control. The method includes: monitoring a running status of each power motor in a drone; determining according to the running status of each power motor whether the drone is in a crashed state; and controlling the drone to alarm when determining that the drone is in the crashed state. The drone control method and device and the drone can rapidly locate a crashed drone, greatly increasing the probability of finding back the crashed drone.
Function-oriented electronics architecture
A control device for an electromechanical system includes at least one group of actuators, of which in each case one actuator is configured to be coupled to a mechanical and/or hydraulic unit and is configured to control an operation of the mechanical and/or hydraulic unit. The control device further includes at least one group of functional modules, which are implemented on at least one computing platform. The at least one group of functional modules includes a plurality of control modules, each respective control module being respectively assigned to and coupled in a communicative manner to a respective actuator, and a coordinating module communicatively coupled to the plurality of control modules. The coordinating module is designed to receive, from each respective control module of the plurality of control modules, fault messages with respect to an operating state of the associated mechanical and/or hydraulic unit and/or the associated actuator.
INFORMATION OUTPUT APPARATUS, INFORMATION OUTPUT METHOD AND PROGRAM
An information output apparatus provided with an acquisition unit that acquires machine identification information and information indicating an operation amount; an identification unit that identifies at least one of a model type of the unmanned moving apparatuses, a purpose of use of the unmanned moving apparatuses, an operation region of the unmanned moving apparatus or component information indicating a component included in the unmanned moving apparatuses, which are associated with the machine identification information; a selection unit that selects an inspection threshold value corresponding to the attribute, as an attribute of the unmanned moving apparatus; a determination unit that determines whether or not a cumulative operation amount calculated by cumulating the operation amount is greater than the inspection threshold value; and an output unit that outputs determination results from the determination unit.