A computer-implemented system and associated method of operating a Small Uncrewed Aircraft System (SUAS) including at least one Small Uncrewed Aircraft or drone. The method comprises capturing data during operation of the SUAS from a number of sensors of different types, performing analysis on the captured data using one or more Artificial Intelligence/Machine Learning (AI/ML) models that have been trained on data sets including historical SUAS data and SUAS system fault data, to predict or identify a potential SUAS failure mode, and when a potential failure mode is predicted or identified, providing a course of action for further operation of the SUAS based on a severity and predicted timing of the SUAS failure mode.

A technique controls a flight vehicle. In the technique, an operating mode for controlling the flight vehicle is set to one of normal modes when no abnormality has occurred in the flight vehicle. The operating mode is changed to one of fail-safe modes causing the flight vehicle to perform landing depending on current one of the normal modes when an abnormality has occurred in the flight vehicle.

A technique controls a flight vehicle. In the technique, an operating mode for controlling the flight vehicle is set to one of normal modes when no abnormality has occurred in the flight vehicle. The operating mode is changed to one of fail-safe modes causing the flight vehicle to perform landing depending on current one of the normal modes when an abnormality has occurred in the flight vehicle.

A flight control device performs flight control processing for causing a vertical takeoff and landing aircraft to fly. When a drive device abnormal occurs during vertical takeoff, the flight control device performs a takeoff processing in flight control processing. The flight control device performs an abnormal stop processing in the takeoff processing. In the abnormal stop processing, a processing for stopping the driving of the abnormal drive device is performed. The flight control device performs a correction increase processing. In the correction increase processing, the output of at least one normal drive device is increased. In the correction increase processing, for example, the output of an adjacent drive device among a plurality of normal drive devices is increased. The adjacent drive device is a normal drive device adjacent to the abnormal drive device in a circumferential direction of a yaw axis.

A return method or device for an unmanned aerial vehicle (UAV), a UAV and a storage medium are provided. The method includes: detecting whether a sensor for obstacle avoidance fails; if the sensor fails, determining a return path of the UAV based on a first return strategy; if the sensor operates normally, determining the return path of the UAV based on a second return strategy; the first return strategy includes controlling the UAV to fly to a return altitude; the second return strategy includes determining the return path of the UAV based on detection data from the sensor. The combination of these two return strategies can achieve a balance between the return efficiency and safety of the UAV.

When any one of a plurality of first rotors (VTOL rotors) fails, a rotor controller (a VTOL rotor controller) executes thrust increase control for increasing the thrust generated by an adjacent first rotor that is the first rotor adjacent to the failed first rotor, without making the adjacent first rotor cause the thrust variation for vibration suppression control, and executes the vibration suppression control in a manner so that one or more second rotors (VTOL rotors) bear the burden of the thrust variation that has been borne by the adjacent first rotor.

A conveyance system comprising a conveyance vehicle that conveys an object to be conveyed and a control device that controls operation of the conveyance vehicle, wherein the conveyance vehicle includes a guide line detecting unit that detects a guide line laid along a travel route; a travel controlling unit that makes the conveyance vehicle travel along the guide line; and an own conveyance vehicle position estimating unit that estimates a position of an own conveyance vehicle; and the control device includes a recording unit that records map information including position information of the guide line; and makes the conveyance vehicle travel to the guide line in the map information, when the position of the own conveyance vehicle estimated by the own conveyance vehicle estimating unit is more than a predetermined distance away from the position of the guide line in the map information.

A return method and device for an aerial vehicle are provided. The method includes: during a flight process of the aerial vehicle, performing real-time planning on a return path from a current position of the aerial vehicle to a return position; performing real-time transmission of the return path to a terminal device to display the return path on a display interface. The aerial vehicle plans the return path in real-time during flight and sends it in real-time to the terminal device for display. This allows users to timely understand the planned return path of the aerial vehicle. Even in the event of a loss of connection between the aerial vehicle and the terminal device, the terminal device can display the return path based on the previously received information, thereby enhancing the safety of aerial vehicle return.

A tilt rotor-based linear multi-rotor unmanned aerial vehicle (UAV) structure for crop protection and a control method thereof are provided. The tilt rotor-based linear multi-rotor UAV structure for crop protection includes main lift power structures, tilt power structures, and a main frame structure, where the main frame structure is located in a middle; the main lift power structures are distributed at left and right ends of the main frame structure; and the tilt power structures are symmetrically distributed between the main frame structure and the main lift power structures. A vector power structure is adopted to ensure flexible attitude changes and smoother and more accurate UAV operations, and improve the operation efficiency. Meanwhile, the tilt rotor-based linear multi-rotor UAV structure is adapted to the complex working environment in China's ever-changing terrains.

A tilt rotor-based linear multi-rotor unmanned aerial vehicle (UAV) structure for crop protection and a control method thereof are provided. The tilt rotor-based linear multi-rotor UAV structure for crop protection includes main lift power structures, tilt power structures, and a main frame structure, where the main frame structure is located in a middle; the main lift power structures are distributed at left and right ends of the main frame structure; and the tilt power structures are symmetrically distributed between the main frame structure and the main lift power structures. A vector power structure is adopted to ensure flexible attitude changes and smoother and more accurate UAV operations, and improve the operation efficiency. Meanwhile, the tilt rotor-based linear multi-rotor UAV structure is adapted to the complex working environment in China's ever-changing terrains.