A blade positioning system and method are provided to dynamically measure blade position during flight of a rotorcraft. In the context of a method, a blade of the rotorcraft is repeatedly illuminated by a light source during flight of the rotorcraft while the blade is rotating. The method also includes detecting radiation scattered from the blade in response to illumination of the blade. The method further includes determining at least one of a blade pitch angle, a blade flap angle, a blade leading position or a blade lagging position based upon the radiation that is scattered from the blade and detected. A rotorcraft is also provided that includes a chip-scale light detection and ranging (LIDAR) sensor configured to illuminate the plurality of blades while the blades are rotating in order to permit blade position to be measured or to illuminate terrain beneath the rotorcraft in order to provide an altitude measurement.

An obstacle avoidance method is applicable to an unmanned aerial vehicle (UAV). The UAV includes binocular cameras. The the obstacle avoidance method includes: acquiring a binocular direction corresponding to each binocular camera, each binocular direction being corresponding to obstacle sectors; detecting an obstacle distance of each of obstacle sectors corresponding to each binocular direction; determining an obstacle distance in each binocular direction according to the obstacle distance of each of obstacle sectors corresponding to each binocular direction; and determining an obstacle avoidance policy according to the obstacle distance in each binocular direction with reference to a flight direction of the UAV. By determining the obstacle distance in each binocular direction, and then determining the obstacle avoidance policy with reference to the flight direction of the UAV, the obstacle avoidance success rate of the UAV is improved.

A rotorcraft including a pilot control having a sensor that generates pilot control position data, a flight control that controls a flight characteristic of the rotorcraft, a trim system connected to the pilot control and configured to move the pilot control, and a flight control computer (FCC) configured to receive the pilot control position data from the sensor. The FCC executes a first flight control process and generates, according to the first flight control commands, a trim signal indicating a target position for the pilot control and to send the trim signal to the trim system to cause the trim system to attempt to move the pilot control to the target position to reflect a position of the flight control, and to monitor a working state of the trim system and execute a retrim process in response to determining that the trim system has failed.

Systems and methods for stabilizing an aircraft in response to a yaw movement are provided. In one embodiment, a method includes detecting a yaw movement of the aircraft. The yaw movement can cause a front portion of the aircraft to move towards a first side of the aircraft. The method can further include, in response to the yaw movement, initiating a trim process resulting in a thrust differential. The trim process can include increasing thrust in one or more engines on the first side of the aircraft and decreasing thrust in one or more engines on a second side of the aircraft. The method can include controlling the trim process based at least in part on a detected yaw movement of the aircraft.

An aircraft includes a wing. The wing includes an aileron pivotally connected to a trailing edge of the wing, and a Lam aileron pivotally connected to the trailing edge of the wing. The aircraft includes a motor connected to the Lam aileron and configured to rotate the Lam aileron. The aircraft includes a controller configured to detect a deflection of the aileron from a neutral position, calculate a target deflection for the Lam aileron using the deflection of the aileron, and cause the motor to rotate the Lam aileron to the target deflection.

In the event of a failed engine, an automatic takeoff thrust asymmetry compensation system (“ATACS”) for an aircraft improves capabilities to reduce VMCG and deal with the potential side-effects simultaneously. The system commands selected control surfaces (which can be e.g., rudder and/or ailerons and/or spoilers or any combinations thereof) for a short period of time, improving the capability to reduce the VMCG without increasing the penalty on system failures or poor handling qualities.

Systems, devices, and methods that may include: determining one or more take-off variables for a vertical take-off and landing (VTOL) aerial vehicle; increasing an altitude of the VTOL aerial vehicle to a first altitude, where increasing the altitude comprises substantially vertical flight of the VTOL aerial vehicle; performing a first pre-rotation check of the VTOL aerial vehicle; adjusting a pitch of the VTOL aerial vehicle to a first pitch angle via motor control; adjusting the pitch of the VTOL aerial vehicle to a second pitch angle via at least one of: motor control and one or more effectors; and adjusting the pitch of the VTOL aerial vehicle to a third pitch angle via the one or more effectors, where the third pitch angle is substantially perpendicular to a vertical plane.

A method for controlling an unmanned aerial vehicle (UAV) is described. In one example, the method includes: detecting, by one or more processors of a controller within a UAV, whether flight control surfaces of the UAV are operating nominally; switching, by the one or more processors of the controller, in response to detecting that one or more of the flight control surfaces of the UAV are not operating nominally, to implementing a backup control mode configured to operate the UAV in flight with non-nominal operability of one or more of the control surfaces of the UAV; and operating, by the one or more processors of the controller, the UAV in the backup control mode.

A method for collecting information required for Bode plot creation of a UAV (Unmanned Aerial Vehicle) autopilot system is provided. The method comprises: creating a Bode plot generation input signal: adding the Bode plot generation input signal to control inputs; collecting data from multiple points within the control system; calculating magnitude and phase at the multiple points using the data collected; recording the magnitude and phase for the multiple points in a datalog; comparing the magnitude and phase for the multiple points to calculate the gain and phase margins for open loop responses in the control system; creating a Bode plot for at least one of the following: i) a closed loop response of the attitude and/or rate loops, ii) an open loop response of the attitude and/or rate loops and iii) a response of the UAV; and outputting the Bode plot.

An unmanned aircraft includes a forward propulsion system comprising one or more forward thrust engines and one or more corresponding rotors coupled to the forward thrust engines; a vertical propulsion system comprising one or more vertical thrust engines and one or more corresponding rotors coupled to the vertical thrust engines; a plurality of sensors; and a yaw control system, that includes a processor configured to monitor one or more aircraft parameters received from at least one of the plurality of sensors and to enter a free yaw control mode based on the received aircraft parameters.