A vertical take-off and landing aircraft using a hybrid electric propulsion system, according to an embodiment of the present invention, includes: a first control step (S1) of changing a destination when an engine (10), a power generator (20), an engine control unit (30), a power management device (40), a control unit (50), a battery management system (60), a main battery (62) and the like malfunction, thereby causing a normal flight to be difficult; a second control step (S2) of performing control so that an aerial vehicle (1) glides to a point (T), at which same has entered a first space (CEP-1) required for landing or a wider second space (CEP-2) considered safe, and maintains lift and has minimized flight air resistance after passing through the point (T); a third control step (S3) of performing control so that lift is increased and performing control so that a nose cone is switched into an upward direction; and a fourth control step (S4) of performing control so that lift is gradually reduced, and controlling a second variable-pitch control device (122) so that thrust does not act on the aerial vehicle at the moment the aerial vehicle lands, and thus the present invention can vertically land while minimizing impact to be applied to the aerial vehicle.

Apparatus and methods for controlling unmanned systems (UMSs), such as unmanned aircraft, are provided. A UMS can be provided that includes a network, auxiliary systems, and a payload, where the network can connect the auxiliary systems and the payload. A network switch of the network can logically separate the network into at least a second tier of communications and a third tier of communications. The network can be used to control the UMS by at least: controlling the auxiliary systems using messages communicated by the second tier of communications, and communicating with the payload using messages communicated by the third tier of communications.

A control method includes obtaining one or more attitude parameters of a gimbal of a UAV and adjusting one or more attitude parameters of the UAV according to the one or more attitude parameters of the gimbal. The UAV includes a vehicle body, and a power system and the gimbal that are provided at the vehicle body. The power system includes a motor and a propeller and is configured to provide flight power for the UAV. The gimbal is configured to connect a photographing device to the vehicle body. Adjusting the one or more attitude parameters of the UAV includes adjusting a yaw parameter of the UAV according to the yaw parameter of the gimbal. Adjusting the yaw parameter of the UAV includes controlling the UAV to rotate in a yaw direction according to the yaw parameter of the gimbal, to cause the UAV to rotate along with the gimbal.

A nonlinear dynamic control system is defined by a set of equations that include a state vector and one or more control inputs. Via a machine learning method, a sub-optimal controller is derived that stabilizes the nonlinear dynamic control system at an equilibrium point. The sub-optimal controller is retrained to be used as a stabilizing controller for the nonlinear dynamic control system under general operating conditions.

Physical and logical components of a long line loiter control system address control of a long line loiter maneuver conducted beneath a carrier, such as a fixed-wing aircraft. Control may comprise identifying, predicting, and reacting to estimated states and predicted states of the carrier, a suspended load control system, and a long line. Identifying, predicting, and reacting to estimated states and predicted states may comprise determining characteristics of state conditions over time as well as response time between state conditions. Reacting may comprise controlling a hoist of the carrier, controlling thrusters of the suspended load control system, and or controlling or issuing flight control instructions to the carrier so as not to increase the response time and or to avoid a hazard.

Techniques to control flight of an aircraft are disclosed. In various embodiments, a set of inputs associated with a requested set of forces and moments to be applied to the aircraft is received. An optimal mix of actuators and associated actuator parameters to achieve to an extent practical the requested forces and moments is determined.

A control method includes obtaining one or more attitude parameters of a gimbal of an unmanned aerial vehicle (UAV) and adjusting one or more attitude parameters of the UAV according to the one or more attitude parameters of the gimbal.

A first hand control controls an altitude of a vertical takeoff and landing (VTOL) aircraft; the movement of the VTOL aircraft within a plane defined by a roll axis and a pitch axis is independent of the first hand control. The first hand control is provided on a first hand side of a pilot's seat included in the VTOL aircraft. A second hand control controls the movement of the VTOL aircraft within the plane defined by the roll axis and the pitch axis; the altitude of the VTOL aircraft is independent of the second hand control. The second hand control is provided on a second hand side of the pilot's seat that is opposite from the first hand side.

Techniques to control flight of an aircraft are disclosed. In various embodiments, a set of inputs associated with a requested set of forces and moments to be applied to the aircraft is received. An optimal mix of actuators and associated actuator parameters to achieve to an extent practical the requested forces and moments is determined.

Methods and systems for controlling a bank angle, a heading angle and an altitude of an aircraft during flight are provided. The methods and systems disclosed herein make use of sliding mode control and feedback linearization control (nonlinear dynamic control) techniques. The methods and systems can provide autopilot-type functions that can autonomously execute aggressive maneuvers as well as more gentle maneuvers for aircraft.