A helicopter autopilot system includes an inner loop for attitude hold for the flight of the helicopter including a given level of redundancy applied to the inner loop. An outer loop is configured for providing a navigation function with respect to the flight of the helicopter including a different level of redundancy than the inner loop. An actuator provides a braking force on a linkage that serves to stabilize the flight of the helicopter during a power failure. The actuator is electromechanical and receives electrical drive signals to provide automatic flight control of the helicopter without requiring a hydraulic assistance system in the helicopter. The autopilot can operate the helicopter in a failed mode of the hydraulic assistance system. A number of flight modes are described with associated sensor inputs including rate based and true attitude modes.

A vertical take-off and landing (“VTOL”) unmanned aerial vehicle (“UAV”) system and a method of controlling the same, wherein such method controls the stability and maneuverability of the VTOL UAV by manipulating the speeds of the propellers at each rotor. The VTOL UAV includes a body with three extending arms, wherein each of such arms is aligned and fixed at a certain angle from a central axis passing through the body. Each extending arm is equipped with a rotor with propellers. The rotors are sufficient to control the yaw of the UAV, and there is no need for coaxial rotors or an extra servo-motor in order to control the yaw of the UAV, thus reducing the cost and the weight of the UAV.

The present invention provides a flying apparatus that can accurately measure a weight of a transported objected in a simple configuration. The flying apparatus 10 includes rotors 11, motors 12, a flight sensor 13, an electric power conversion unit 14, and a computation control unit 15. The flight sensor 13 measures physical quantities acting on a fuselage base portion 16. The computation control unit 15 generates instruction signals based on the physical quantities to cause the fuselage base portion 16 to be at a predetermined position in a predetermined attitude. The electric power conversion unit 14 adjusts amounts of electric power supplied to the motors 121 and the like based on the received instruction signals. Moreover, the computation control unit 15 calculates an estimated weight that is an estimation value of a weight of the transported object, based on magnitudes of the instruction signals.

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.

A method of controlling a multi-rotor aircraft (1) including at least five, preferably at least six, lifting rotors (2; R1-R6), each having a first rotation axis which is essentially parallel to a yaw axis (z) of the aircraft (1), and at least one forward propulsion device (3), preferably two forward propulsion devices (P1, P2), the at least one forward propulsion device having at least two rotors (P1_R1, P1_R2, P2_R1, P2_R2) that are arranged coaxially with a second rotation axis which is essentially parallel to a roll axis (x) of the aircraft. The at least one or each of the forward propulsion devices (3, P1, P2) being arranged at a respective distance (+y, −y) from said roll axis (x). The method further includes: using at least one of the rotors of the at least one forward propulsion device to control the aircraft's moment about the yaw and/or roll axes independently from each other.

A process and machine configured to predict and preempt an undesired load and/or bending moment on a part of a vehicle resulting from an exogenous or a control input. The machine may include a predictor with an algorithm for converting parameters from a state sensed upwind from the part into an estimated normal load on the part and a prediction, for a future time, of a normal load scaled for a weight of the aerospace vehicle. The machine may: produce, using a state upwind from the part on the aerospace vehicle and/or a maneuver input, a predicted state, load and bending moment on the part at a time in the future; derive a command preempting the part from experiencing the predicted load and bending moment; and actuate the command just prior to the part experiencing the predicted state, thereby alleviating the part from experiencing the predicted load and bending moment.

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.

The processor supplies flight commands to the flight control system by selectively blending pilot input with control signals from the autopilot. The processor generates a projected recovery trajectory through successive iterations, each beginning at the current aircraft location and using a recovery constraint selectable by the processor to influences a degree of flight aggressiveness. A detection system that identifies and invokes a state of threat existence if a threat exists along the projected recovery trajectory. The processor during threat existence in a first iteration commands an initial soft recovery, with permitted blended pilot input. If the threat exists on subsequent iteration, the processor commands a more aggressive recovery while attenuating blended pilot input.

A driving control device for a remote controlled helicopter includes an rpm detection unit that detects an rpm of a main rotor, a gyro sensor that detects angular velocities of control axes including roll, pitch and yaw axes, and a control unit that generates a control signal of a control actuator for controlling movements of the control axes based on the angular velocities detected by the gyro sensor and a steering signal sent from a transmitter. The control unit has information on the gyro sensitivities of the control axes and information on a set rpm of the main rotor which are preset for each of the flight states of the remote controlled helicopter, and corrects the gyro sensitivities based on a difference between the set rpm corresponding to a selected flight state among the flight states and an rpm of the main rotor detected by the rpm detection unit.

The present disclosure provides a following control method. The method includes receiving and displaying an acquired image acquired by an imaging device of an unmanned aerial vehicle (UAV); detecting a user's selection operation on two or more objects in the image; determining a following instruction based on the detected selection operation; and controlling the UAV to follow the two or more followed objects indicated by the following instruction so that the two or more followed objects are in an imaging frame of the imaging device.