7 results about "Controller architecture" patented technology

This application discloses a serial port switching method and electronic device, relating to the field of server management technology, and applied to a server device with a multi-management controller architecture. The server device includes a master node and multiple child nodes. The method includes: addressing the cumbersome operation of accessing faulty serial ports in a multi-management controller architecture server, by supporting the pre-setting of valid target identifier parameters through parameter configuration commands, prioritizing the reading of this parameter and directly locating the corresponding target serial port when a console access command is received, and automatically determining the target serial port based on the status record sequence if no valid target identifier parameter is read, and finally automatically completing the switching of the serial port connection link so that external access can access the target serial port through the master node, without the need for manual switching of physical links or complex command line configuration and troubleshooting; solving the technical problem of cumbersome operation of accessing faulty serial ports in related technologies, and achieving the technical effect of simplifying the operation of accessing faulty serial ports.

The present application discloses an integrated direct-drive thermal management controller architecture for a vehicle, a vehicle management system, and a vehicle. The integrated direct-drive thermal management controller architecture for a vehicle includes: a low-voltage battery (300), a battery management module (100), and a thermal management module (900), where the low-voltage battery (300) is connected to the battery management module (100), the thermal management module (900) is configured with a load connection terminal for connecting a thermal management load, and the battery management module (100) and the thermal management module (900) share the same controller (120). By integrating a function of managing the low-voltage battery (300) and a function of managing the thermal management load in the controller (120), a control module in a battery management scheme, and a control module and a drive module in a thermal management scheme are creatively integrated into the same controller (120), simplifying a control circuit, thereby achieving low costs and a simple architecture.

The application relates to the technical field of multi-unmanned aerial vehicle cooperative control, and discloses a multi-unmanned aerial vehicle fixed-time neural adaptive formation control method resisting aerodynamic disturbance, which constructs a hierarchical controller architecture, the outer ring is a distributed reference generation and safety tracking controller, and the inner ring is a fixed-time terminal sliding mode controller with a cubic nonsingular smooth switching mechanism; a fixed-time sliding mode surface with the cubic nonsingular smooth switching mechanism is configured to realize deterministic convergence, an adaptive RBF neural network is adopted to actively compensate aerodynamic disturbance, a safety mechanism based on an obstacle function is combined to constrain the unmanned aerial vehicle state in a safety set, Lyapunov analysis verifies the fixed-time stability of the system, and simulation results of six unmanned aerial vehicle formations show that the convergence speed of the method is improved by 29.6%, the robustness is better, and the safe, accurate and rapid formation control of the multi-unmanned aerial vehicle under complex aerodynamic disturbance can be realized.

This application relates to the field of vehicle technology, and in particular to a method, apparatus, electronic device, and storage medium for synchronizing ambient lighting communication in a vehicle. The vehicle includes a central computing center and at least one regional controller communicating with the central computing center. The method includes: synchronizing the time of the central computing center and each regional controller based on a preset timestamp synchronization strategy; determining the message scheduling period of ambient lighting control command messages in the LIN scheduling tables of all regional controllers based on a preset LIN scheduling time slot; and sending ambient lighting control commands to each regional controller through the central computing center, causing each regional controller to call the corresponding LIN scheduling table based on the message scheduling period to synchronize the ambient lighting control of the vehicle. This solves the problem of asynchronous ambient lighting execution in a central computing center and regional controller architecture, and has strong applicability.

An intelligent work vehicle preheat system (22) includes an electric drive subsystem (50) including a battery pack (82), a hydraulic subsystem (52) including a first hydraulic fluid (HF) heating device (56), and a first HF temperature sensor (54). A memory (68) stores a first minimum target temperature at which a first hydraulic fluid body included in the hydraulic subsystem (52) is desired to be maintained at or above. A controller architecture (48) selectively places the intelligent work vehicle preheat system (22) in an inactive preheat mode when the electric drive subsystem (50) is connected to an external power source for charging the battery pack (82). The controller architecture (48) also controls the HF heating device (56) to heat the first hydraulic fluid body when (i) the intelligent work vehicle preheat system (22) is placed in the inactive preheat mode, and (ii) a current temperature of the first hydraulic fluid body is less than the first minimum target temperature.

This invention relates to the field of multi-UAV cooperative control technology and discloses a fixed-time neural adaptive formation control method for multi-UAVs to resist aerodynamic disturbances. A hierarchical controller architecture is constructed, with an outer loop of a distributed reference generation and safety tracking controller and an inner loop of a fixed-time terminal sliding mode controller with a cubic non-singular smooth switching mechanism. A fixed-time sliding mode surface with a cubic non-singular smooth switching mechanism is configured to achieve deterministic convergence. An adaptive RBF neural network is used to actively compensate for aerodynamic disturbances, and a safety mechanism based on obstacle functions is combined to constrain the UAV states within a safe set. Lyapunov analysis verifies the fixed-time stability of the system. Simulation results of six UAVs in formation show that the proposed method improves convergence speed by 29.6%, exhibits better robustness, and can achieve safe, accurate, and fast formation control of multiple UAVs under complex aerodynamic disturbances.

This utility model relates to a highly integrated dual-electric control inverter brick assembly, belonging to the field of inverter brick technology. The inverter brick assembly includes: a water channel substrate with a protrusion on its top and an opening on one side of the protrusion; a thin-film capacitor disposed within the opening; a filter assembly disposed on the side of the protrusion; a first power module disposed on the bottom surface of the water channel substrate and connected to the thin-film capacitor; and a second power module disposed on one side of the first power module, laid flat on the bottom surface of the water channel substrate and connected to the thin-film capacitor. This utility model integrates the thin-film capacitor and the water channel substrate, effectively reducing the volume, and integrates the first and second power modules. It has a high degree of integration and can flexibly adapt to the controller architecture requirements of various DHT hybrid systems. The staggered arrangement of the positive and negative copper busbars reduces space occupation, lowers stray inductance, and achieves efficient and stable system operation.