4results about How to "Lighten the control burden" patented technology

This application relates to the field of compound wing aircraft technology, and discloses a yaw control method and control system, flight equipment, and storage medium for compound wing aircraft. The yaw control method of this application includes: acquiring real-time rotor motor health status information, and activating a tail thrust control strategy of the tail thrust motor based on the rotor motor health status information to achieve active yaw of the aircraft and maintain the aircraft's current flight speed. In this embodiment, the yaw control method of the compound wing aircraft uses the tail thrust motor to assist yaw control when the rotor motor fails, reducing the control burden on the rotor motor and thus improving handling performance.

The invention provides a traffic light signal intelligent adjustment method. The method comprises the following steps: acquiring image information of lanes around a connection intersection at preset time intervals; the image information is processed, vehicle data of lanes around the intersection are obtained, and the vehicle data of the lanes around the intersection comprise vehicle data of two crossing lanes of the current intersection; according to the vehicle data of the two cross lanes of the current intersection, whether the vehicle data of the two cross lanes of the current intersection meet an approaching standard is judged, and the approaching standard is that the difference value between the vehicle congestion degrees of the two cross lanes of the current intersection is smaller than a preset standard difference value; and if not, circularly adjusting the green light time of the high-congestion-degree lane in the two cross lanes of the current intersection according to a step-by-step adjustment rule, so that the vehicle congestion degrees of the two cross lanes of the current intersection tend to approach the standard. The adaptive concept similar to a single neural network is applied, and the control burden of a traffic cloud platform is relieved.

The application discloses an automatic charging mechanical arm of an electric vehicle and belongs to the technical field of automatic charging of electric vehicles. The mechanical arm body comprises a first linear driving mechanism, a second linear driving mechanism, and a first rotary driving mechanism, a second rotary driving mechanism and a third rotary driving mechanism which are sequentially and serially arranged. A pitch angle adjusting mechanism is used for actively adjusting the pitch angle of an automatic charging gun. A yaw angle adjusting mechanism is used for actively adjusting the yaw angle of the automatic charging gun. A floating compensation mechanism has two passive degrees of freedom and is used for compensating for positioning deviation during plugging or unplugging of the automatic charging gun and a charging port of the electric vehicle. The application enables the mechanical arm body to complete large-range position adjustment and basic attitude adjustment of the automatic charging gun in a fixed parking space scene. The control burden of multi-joint coupling interpolation is reduced, and the installation adaptability of narrow civil scenes such as underground garages and building exclusive parking spaces is improved.

The application discloses a kind of fusion pushing mode and gesture recognition's underground unmanned vehicle control method, system and unmanned vehicle, comprising: with the tracking result of unmanned vehicle to guide personnel and gesture recognition result as input, the cycle control decision of unmanned vehicle working mode is carried out in combination with environmental perception information, comprising: in response to single control period, guide personnel station position and instruction intention are identified based on tracking result, gesture recognition result and environmental perception information;According to guide personnel station position and instruction intention, the working mode of unmanned vehicle is decided;In response to the working mode decided, the environment passability check result is calculated and the chassis control instruction of unmanned vehicle is output, and the working mode, direction intention, executability state and safety keeping instruction are synchronously controlled unmanned vehicle and visualized display is shown outside;The application can be based on guide personnel continuous tracking combined with the core control scheme of gesture recognition, realize the autonomous switching of unmanned vehicle between following, pushing, parking and other working modes.