Autel Robotics Co., Ltd.

Tianbao Zhang

Gang Chen

Yingjie Li

Xianhong Jiang

Han Gao

Minghua Lu

Embodiments of the present invention relate to a method of controlling an aircraft and a flight control device for an aircraft, an aircraft with such flight control device and a storage medium. The method includes: determining a flight mode adopted by the aircraft in a non-static state; if the flight mode is an absolute hovering mode, determining a target speed of the aircraft according to a current flight speed, a current flight height and a first preset hovering height of the aircraft and a remote control speed set for the aircraft by remote control device; if the flight mode is a relative static hovering mode, determining the target speed of the aircraft according to a relative flight speed, the current flight height, a second preset switching hovering height and the remote control speed; and controlling the aircraft to fly according to the target speed.

Method of controlling an aircraft, flight control device for an aircraft, and aircraft with such flight control device

Embodiments of the present invention are a trajectory tracking method and an unmanned aerial vehicle. The method is including an unmanned aerial vehicle body and a gimbal, and the unmanned aerial vehicle body being equipped with at least one visual sensor, and the method includes: obtaining a flight image acquired by the at least one visual sensor, the flight image including a to-be-tracked target; performing visual image processing on the flight image, to generate a gimbal rotation instruction and a path instruction; adjusting an angle of the gimbal according to the gimbal rotation instruction and a gimbal state parameter of the gimbal, to lock the to-be-tracked target; and controlling a motor speed of a flight motor of the unmanned aerial vehicle according to the path instruction and a flight state parameter of the unmanned aerial vehicle, to cause the unmanned aerial vehicle to track the to-be-tracked target according to the path instruction.

Trajectory tracking method and unmanned aerial vehicle

Embodiment of the present invention are a flight control method and apparatus for an unmanned aerial vehicle, and an unmanned aerial vehicle. The flight control method for an unmanned aerial vehicle includes: obtaining an obstacle position and an obstacle orientation of each obstacle within a preset range around the unmanned aerial vehicle; calculating a push-pull coefficient of each obstacle relative to the unmanned aerial vehicle according to the obstacle position of each obstacle; obtaining a target position and a target orientation of the unmanned aerial vehicle; calculating a baton coefficient of the target position relative to the unmanned aerial vehicle according to the target position; and adjusting a flight direction of the unmanned aerial vehicle according to the baton coefficient, the target orientation, the push-pull coefficient of each obstacle relative to the unmanned aerial vehicle, and the obstacle orientation.

Vehicle flight control method and apparatus for unmanned aerial vehicle, and unmanned aerial vehicle

Embodiments of the present invention is an inertial measurement module, including a mount, a circuit board, a thermally conductive member and a cover plate mounted to the mount. The circuit board is mounted to an end surface of the mount, and is configured to mount an inertial measurement assembly and the thermally conductive member. The inertial measurement assembly includes a thermal resistor and an inertial measurement unit. The thermally conductive member is configured to abut against the thermal resistor and the inertial measurement unit. A surface of the cover plate is provided with a first groove. A receiving space is formed by the first groove and the surface of the mount. The circuit board and the thermally conductive member are both received in the receiving space. The thermally conductive member is arranged at a preset distance from a bottom of the first groove.

Inertial measurement module and unmanned aerial vehicle

The present invention relates to the field of unmanned aerial vehicle safety protection technologies, and in particular, to an unmanned aerial vehicle safety protection method and apparatus and an unmanned aerial vehicle. The method includes: obtaining ultrasonic information and a flight status of an unmanned aerial vehicle, where the flight status includes a normal flight state and a descending state; and performing safety protection on the unmanned aerial vehicle according to the ultrasonic information and the flight status. The implementation can reduce an occurrence probability that an unmanned aerial vehicle crashes at a high altitude when ultrasound encounters abnormalities to get out of control at the high altitude and fail to descend, rise, move to the left or move to the right and land without slowing down to violently hit the ground, so that the safety of the unmanned aerial vehicle is enhanced, and user experience is improved.

Unmanned aerial vehicle safety protection method and apparatus and unmanned aerial vehicle

The present invention discloses an unmanned aerial vehicle and a method for controlling a gimbal thereof. The method for controlling a gimbal includes: generating, by a flight control system, a yaw angular speed instruction of the unmanned aerial vehicle; and controlling, by a gimbal control system, a yaw axis motor of the gimbal according to the yaw angular speed instruction of the unmanned aerial vehicle. In the present invention, the yaw axis motor of the gimbal is jointly controlled by the flight control system and the gimbal control system, so that advantages of high-precision control and quick response of the gimbal control system are maximized. The advantages are used for compensating for deficiencies of the flight control system in yaw control, thereby improving the stability of a yaw channel of the gimbal, and completely resolving frame freezing of an aerial video when the unmanned aerial vehicle yaws at a low speed.

Unmanned aerial vehicle and method for controlling gimbal thereof

Embodiments of the present invention relate to a method for generating search information of an unmanned aerial vehicle (UAV) and a UAV. The method includes: controlling a gimbal camera apparatus of the UAV to perform surround shooting to obtain character image information when the UAV is in an input locked state; matching the character image information with internal image information of the UAV; and generating the search information of the UAV according to a matching result. Therefore, a user can find the UAV in time according to the search information. In this way, theft is prevented, reducing the user loss.

Method for generating search information of unmanned aerial vehicle and unmanned aerial vehicle

Embodiments of the present invention are an unmanned aerial vehicle (UAV) severe low-power protection method and a UAV. The method includes: first acquiring ground environment information when the UAV is in a severe low-power protection state, and then obtaining landing safety judgment information according to the ground environment information, and further controlling a flight state of the UAV according to the landing safety judgment information to realize a safe landing of the UAV. The foregoing method reduces the probability of explosion of the UAV, avoids injury accidents, and improves flight safety when the UAV is in a severe low-power state.

Unmanned aerial vehicle severe low-power protection method and unmanned aerial vehicle

Embodiments of the present application relate to the technical field of aircrafts and disclose a method and apparatus for yaw fusion and an aircraft. The method for yaw fusion is applicable to an aircraft and includes: acquiring global positioning system (GPS) data, inertial measurement unit (IMU) data, and magnetometer data, wherein the GPS data includes GPS location, velocity, acceleration information, and GPS velocity signal quality, and the IMU data includes IMU acceleration information and IMU angular velocity information; determining a corrected yaw according to the IMU data, the GPS data, and the magnetometer data; determining a magnetometer alignment deviation angle according to the magnetometer data, the GPS data, and the corrected yaw; determining a GPS realignment deviation angle according to the GPS data and the IMU acceleration information; and generating a fused yaw according to the corrected yaw, the magnetometer alignment deviation angle, and the GPS realignment deviation angle.

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Guangdong, China

Tianbao Zhang