1347 results about "System controller" patented technology

Embodiments relate to a method and apparatus for selecting and performing a function selectable by a custom button by a user in a vehicle, utilizing an on-board system controller, the on-board system controller comprising a processor and a memory. The method includes the operations of: identifying a pressing of a custom button; receiving a selection of a function from a display panel; linking the function to the custom button; and automatically performing the function when the custom button is subsequently pressed.

The invention discloses an EMB clamping force control method based on a high-order all-wheel-drive system. The EMB clamping force control method comprises the following steps that S1, a target clamping force value # imgabs0 # is obtained; s2, establishing a three-order EMB system simplified dynamic model for corner control; S3, through clamping force separation processing, converting the model for corner control into a high-order all-drive model for clamping force control; s4, designing a controller based on the high-order all-drive control method, designing the controller of the electronic mechanical braking system based on the high-order all-drive control method, synthesizing the control law in a simple explicit mode to obtain an expected linear closed-loop system with any specified pole position, and only adjusting one parameter to obtain an expected linear closed-loop system with any specified pole position. And the tuning task is greatly simplified. The EMB clamping force control method based on the high-order all-wheel-drive system has the effect of effectively overcoming nonlinear rigidity and friction load disturbance existing in an electronic mechanical braking system.

The invention discloses a spray drying device for boron carbide production, the spray drying device comprises a spray drying tower, a hot blast stove, a cyclone separator and a system controller, an atomizer and an online detection module are arranged in the spray drying tower, and the online detection module is used for monitoring temperature parameters in the spray drying process; comprising a first temperature sensor, a second temperature sensor and a temperature signal processing unit, the temperature signal processing unit adopts a multi-stage filtering and error compensation technology, noise and interference are effectively suppressed, and the accuracy of detection data is ensured. The air inlet temperature and the air outlet temperature are monitored in real time through the online detection module, the fuzzy-PID control algorithm is combined, the temperature control precision and the response speed are remarkably improved, and temperature fluctuation is reduced. The device dynamically adjusts the heating power of the hot blast stove according to real-time working conditions, the energy utilization efficiency is optimized, and the energy consumption is reduced.

The invention discloses a model predictive control-based vacuum pressure swing adsorption carbon capture system optimization control method, which comprises the following steps of: performing an open-loop step experiment on a vacuum pressure swing adsorption carbon capture system by taking a cycle period as a unit step length to obtain a dynamic characteristic experiment curve of the vacuum pressure swing adsorption carbon capture system; according to data corresponding to the dynamic characteristic experiment curve, a discrete state space model representing the dynamic characteristics of the vacuum pressure swing adsorption carbon capture system is obtained through identification through a subspace identification method, the discrete state space model is amplified into an incremental state space model, and the incremental state space model is used for representing the dynamic characteristics of the vacuum pressure swing adsorption carbon capture system. Deriving the incremental state space model to obtain a prediction model; constructing a rolling optimization objective function of the prediction model, inputting the scheduling instruction into the prediction model, and designing a constrained MPC control algorithm based on the prediction model to obtain the MPC controller of the vacuum pressure swing adsorption carbon capture system; and the CO2 recovery rate and purity are precisely tracked and controlled through the MPC controller of the vacuum pressure swing adsorption carbon capture system. The technical problems that the CO2 recovery rate adjusting speed is low, the stability is poor and the CO2 purity deviates from the set value in a traditional control method can be solved, and meanwhile the anti-interference capacity and the multi-target optimization performance of the system are improved.

The embodiment of the invention discloses a GPU BOX, a server, an interconnection system and a high-speed interconnection and data interaction method. The GPU BOX high-speed interconnection method is characterized in that the GPU BOX comprises a GPU and a control mainboard, an internal PCIe switch, an internal storage device, a first DMA controller and a system controller are integrated in the control mainboard, and a second DMA controller is integrated in the GPU; the system controller receives the reading instruction and performs data read-write initialization on the first DMA controller and the second DMA controller based on the reading instruction; the first DMA controller after data read-write initialization reads cache data from the internal storage device, and transmits the cache data to the GPU via the internal PCIe switch through the established GDS connection; wherein the GDS connection between the GPU and the internal storage device is established through the system controller, the second DMA controller, the internal PCIe switch and the first DMA controller. According to the method, high-speed direct data transmission of the GPU BOX can be achieved, CPU data transfer is not needed, and the data transmission efficiency is greatly improved.

The invention relates to the technical field of battery thermal management, in particular to a liquid-cooled fuel cell thermal management subsystem and a control method thereof.The liquid-cooled fuel cell thermal management subsystem comprises a fuel cell body, a cooling liquid circulation system, a temperature sensor, a flow sensor and a thermal management system controller; the heat management system controller is electrically connected with the temperature sensor, the flow sensor, the water pump, the radiator, the heater and the control valve, calculates the pile temperature of the fuel cell main body through load current, and continuously monitors the inlet temperature and the outlet temperature of the fuel cell main body and the outlet flow of the water pump at the same time; and the working state of the cooling liquid circulation system is controlled according to the monitored and calculated data, so that the temperature of the fuel cell main body is accurately controlled.

A catheter system (100) for treating a treatment site (106) within or adjacent to a vessel wall (108A) of a blood vessel (108), or within or adjacent to a heart valve, includes an energy source (124) and a system controller (126). The energy source (124) generates a plurality of energy pulses. The system controller (126) includes a processor that controls the energy source (124). The system controller (126) is configured to implement an energy control algorithm to control both of (i) a pulse frequency of the plurality of energy pulses, and (ii) an energy level for each of the plurality of energy pulses that are generated by the energy source (124). As the pulse frequency of the plurality of energy pulses increases, the energy level for each of the plurality of energy pulses decreases.

The invention relates to an electromagnetic pulse collaborative deicing system based on multi-mode perception. The system comprises a power supply system; the FPGA controller is used for logic control and signal processing, calculating electromagnetic pulse parameters and realizing high-speed and accurate deicing instruction scheduling; a sensing module; a real-time detection system; a pulse generation unit; and the deicing module executes an electromagnetic pulse deicing action and efficiently removes ice covered on the surface of the power grid. The invention further discloses an electromagnetic pulse collaborative deicing method based on multi-mode sensing. Through the electromagnetic pulse technology, the power transmission and distribution line ice can be efficiently removed, compared with a traditional thermal ice melting method, the energy consumption is greatly reduced, the response speed is remarkably increased, and the deicing strategy and parameters are dynamically adjusted according to real-time monitoring data based on the real-time signal processor of the FPGA; the power supply priority can be dynamically adjusted according to the energy supply condition, the energy is improved to the maximum extent, and an accurate deicing basis is provided for the system.

The invention provides a fault-tolerant control method for preset performance of a morphing aircraft based on sliding-mode control. The fault-tolerant control method comprises the following steps: establishing a longitudinal nonlinear dynamic model of the morphing aircraft; based on the longitudinal nonlinear dynamic model of the morphing aircraft, establishing a longitudinal nonlinear dynamic model of the morphing aircraft under the fault condition of the execution mechanism; the method comprises the following steps: extracting a speed subsystem and an attitude subsystem aiming at a longitudinal nonlinear dynamic model of a morphing aircraft under an execution mechanism fault condition; carrying out sliding-mode control-based preset performance fault-tolerant controller design on the attitude subsystem; aiming at a speed subsystem, combining an attitude subsystem controller, and carrying out sliding mode control-based preset performance fault-tolerant controller design; the two designed controllers are utilized to realize the fault-tolerant control of the variant aircraft under the condition of executing mechanism fault. The sliding mode control and the preset performance control are combined, so that the conservative property is improved by quick response, the fault-tolerant capability is enhanced by switching the control law, and the stability is improved.

The invention is suitable for the technical field of multi-unmanned aerial vehicle cooperative control, and provides a multi-quadrotor formation maneuvering flight event triggering cooperative control method and system, and the method comprises the steps: firstly building a kinetic model of a quadrotor unmanned aerial vehicle in a distributed formation system under an inertial coordinate system, designing a multi-quadrotor unmanned aerial vehicle cooperative formation synchronization error, and carrying out the cooperative formation of the quadrotor unmanned aerial vehicle; establishing a preset performance control function to constrain the formation synchronization error, and performing corresponding equivalent error transformation; designing a dynamic event trigger track subsystem controller; designing a robust attitude subsystem controller; and constructing a Lyapunov function, and verifying whether a closed-loop system is stable or not and whether an expected formation effect can be achieved or not. The method can effectively restrain the synchronization error of the multi-quadrotor unmanned aerial vehicle formation system, reduces the error overshoot, improves the coping capability for uncertainty, environmental interference and abrupt trajectory change, and guarantees the stable formation flight of the multi-quadrotor unmanned aerial vehicle system.

The invention discloses a multi-split air conditioning system controller hardware test method, and relates to the technical field of intelligent control system test and fault diagnosis, and the method comprises the steps: collecting the historical fault data of an industrial master controller, combining the dynamic load parameters of a multi-split air conditioning system, and obtaining a dynamic fault signal set through a generative adversarial network; fault signals in the dynamic fault signal set are injected into an industrial master controller of the multi-split air conditioning system, and a mapping data set containing time-fault type-response parameters is generated; and performing anti-fact analysis and causal graph modeling on the mapping data set through a causal inference engine, generating a probabilistic causal chain of the fault propagation path, and identifying a high-risk causal chain. According to the invention, the authenticity and diversity of fault signals in the controller test are improved, and the stability and reliability of the multi-split air-conditioning system controller under complex working conditions are also improved.

The invention discloses a servo control system and method based on data analysis, and relates to the technical field of servo control, and the system comprises a data collection unit which achieves the communication between a characteristic analysis system and a real object servo system platform through a storage and display mode based on different data sources, and a data analysis unit which carries out the data analysis of the real object servo system platform. The data analysis unit is used for analyzing time-domain characteristics and frequency-domain characteristics of the system and carrying out historical data analysis and real-time data monitoring on stored data, and the data processing unit is used for carrying out related processing on the received data based on a Mallat algorithm. According to the invention, real-time observation and control of speed and position are realized, time-domain characteristic analysis and frequency-domain characteristic analysis can be carried out on response of the servo system, data processing is realized by adopting a Mallat algorithm, and designed PI controller parameters are sent to a servo system controller to realize real-time control of the servo system.

A microgrid system includes an electrical bus including at least one electrical load; at least one non-energy storage system asset configured to supply electrical power to the electrical bus; an energy storage system group including: two or more energy storage system assets configured to supply electrical power to the electrical bus, and a system controller operatively coupled to each of the assets on the electrical bus. The system controller is configured to: determine characteristic energy set points and power limits for each of the assets; determine that at least two or more assets have a same priority for power distribution; determine the characteristic power set points for the non-energy storage assets, dispatch the energy storage system assets having the same priority by treating a dispatch for the energy storage system assets as a combined asset.

The invention relates to the technical field of fuel cell control, and discloses a control method of a hydrogen fuel system controller, which comprises the following steps: in response to a system shutdown instruction, controlling a DC / DC converter to maintain operation and request a preset scavenging current, and consuming residual reaction gas in a flow channel and a pipeline by using an electrochemical power generation reaction in an electric pile; meanwhile, hydrogen-cut air-down operation is executed, and the average single voltage of the electric pile is collected in real time; when it is monitored that the average monomer voltage is reduced to be below a preset anti-corrosion safety threshold value, the DC / DC converter is controlled to be disconnected, and mechanical purging is started. A time sequence interlocking mechanism of electrochemical energy depletion and mechanical purging is established, a high-potential retention path in the shutdown process is blocked from the physical and chemical source, and the safety of the shutdown is improved. Reverse polarity corrosion caused by a hydrogen-air interface effect is avoided, and the service life of the galvanic pile is prolonged.

The invention discloses a steam discharge control method based on pilot valve adjustment, and particularly relates to the technical field of steam discharge, which comprises the following steps: determining the actual pressure and expected pressure of a main valve and the set pressure of a pilot valve, and comparing the relationship between the actual pressure of the main valve and the expected pressure of the main valve to obtain the set pressure of the pilot valve. The hysteresis between the actual pressure and the expected pressure of the main valve in the time delay information is determined, a delay transfer function model of the steam system PID controller in the monitoring time period is obtained, a delay factor of the delay transfer function model is obtained, and the response delay of the steam system in the time delay information is determined; the ARMA model is used for modeling the time sequence data of the actual pressure, the change trend of the actual pressure of the main valve in the pressure change information is determined, the potential risk of the steam system is judged, it can be ensured that the system keeps stable operation in various change environments, and excessive adjustment or control failure of the pilot valve is avoided.

Embodiments relate to a method and apparatus for selecting and performing a function selectable by a custom button by a user in a vehicle, utilizing an on-board system controller, the on-board system controller comprising a processor and a memory. The method includes the operations of: identifying a pressing of a custom button; receiving a selection of a function from a display panel; linking the function to the custom button; and automatically performing the function when the custom button is subsequently pressed.

The invention discloses a vehicle control method, control equipment, a vehicle and a computer readable storage medium, and the vehicle control method comprises the steps: obtaining biological characteristic information, driving environment data and driving behavior data of a driver; based on the biological characteristic information, the driving environment data and the driving behavior data, the steering torque is dynamically calculated through a weighting algorithm; and the steering torque is sent to an electric power steering system controller so as to adjust the steering output torque of the vehicle. In this way, according to the technical scheme, accurate adjustment of the steering output torque of the vehicle can be achieved, so that the driving safety and individuation are improved.

A method of performing a two-qubit gate operation includes computing, by a classical computer, a control pulse to be applied to a pair of trapped ions in a plurality of trapped ions in a quantum processor, each of the plurality of trapped ions having two frequency-separated states defining a qubit, wherein computing the control pulse comprises: computing a pulse function of the control pulse based on a phase-space closure condition and an auxiliary condition, and computing the pulse function of the control pulse further based on a gate angle condition, and applying, by a system controller, the control pulse, having the computed pulse function, to the pair of trapped ions.

The utility model is applicable to the technical field of display, and particularly relates to a backlight driving system, a display system and a display. The backlight driving system comprises a system controller, a switch time sequence controller and N driving chip cascade branches, each driving chip cascade branch comprises M driving chips which are connected in series, the driving chips are used for controlling LED lamp beads connected with the driving chips, each driving chip is in duplex communication, the system controller is connected with the switch time sequence controller, and the switch time sequence controller is connected with the N driving chip cascade branches. The switch time sequence controller is respectively connected with the first driving chip of each driving chip cascade branch through a corresponding interface, the switch time sequence controller is in duplex communication, and by setting a one-input multiple-output or multiple-input multiple-output signal transmission mode of one switch time sequence controller, communication signal lines of the driving chips are reduced under a direct-driven display system, and the display efficiency is improved. According to the technical scheme, all driving chips do not need to be connected in series, physical line delay control can be achieved through the switch time sequence controller, the black frame insertion function is achieved, and therefore the reliability of a display system is improved.

Methods, systems, and devices for low latency logical (L3A) unit for a memory system are described. For example, a logical unit, such as an L3Alogical unit or L3A logical unit number (LUN), may include a storage area for storing information for system swap operations, including, for example, a logical-block-address (LBA) range for one or more single-level-cells (SLCs). The logical unit may include a logical-to-physical (L2P) mapping table stored in a local memory of a memory system controller, such as in static random access memory (SRAM). In some examples, a reserved storage area may be overprovisioned, and the logical unit may be associated with a higher priority and a larger granularity than one or more other logical units. Further, one or more read-only (RO) descriptors stored to one or more registers, one or more provisioning parameters, or both, may be defined for the logical unit.

A method and system controller includes determining a power requirement for a vehicle system to complete a planned trip over a route. The method includes determining whether an amount of available power from the vehicle system is sufficient to propel the vehicle system to complete the planned trip by comparing the available power with the power requirement that is determined. The method includes changing one or more operational aspects of the planned trip based on the comparison between the amount of available power and the power requirement that is determined to generate a newly planned modified trip.

A secure system for sending and receiving remote signals that control semiautonomous critical systems and infrastructure. The secure system includes a plurality of independent operator stations to provide command signals to the remote critical systems and infrastructure by means of wired and / or wireless communications. Decoupling of the secure system from raw signals is performed by a data broker that serves to check for time-dependent and signal-dependent corroboration between the raw signals and then provide limited-scope instructions to the secure system controller. Further security is afforded to the secure system through encryption of the incoming command signals, convoluting the encrypted command signals within data structures, and padding with erroneous information with the implementation of a synthesized command signal that renders successfully decrypted and deconvoluted command signals neither readable by humans or machines. The final method of data security is appropriated through the synthesis of transmitter / receiver unique “languages” that serve to translate decrypted and unconvoluted signals into their final human / machine readable instructions.

To provide a power supply system capable of improving followability of power supply to a demand change without reducing power generation efficiency.SOLUTION: A power supply system 1000 comprises a plurality of power generation units 100 operated in a parallel state to a commercial power source system 500 and a system controller 18 which supervises control states of the power generation units 100. The power generation unit 100 includes a power generation module 20, a power conditioner 16, and a local controller 17. The system controller divides the power generation unit 100 into any one of a first group of maximum output fixed machines, a second group of minimum output fixed machines, a third group of output adjustment machines, and a fourth group of output standby machines and controls total output power of the system by selecting a combination of groups on the basis of purchase power information from the commercial power source system 500.SELECTED DRAWING: Figure 3

The present application discloses a UWB signal-based vehicle monitoring method. The vehicle monitoring method comprises the following steps: signal transmission: transmitting a series of UWB signals by means of a UWB signal detector; signal reception: receiving, by means of the UWB signal detector, a UWB signal reflected back from a target object; signal analysis: analyzing, by means of a UWB signal processor, the received UWB signal to obtain monitoring data reflecting a state of the target object; and determination processing: on the basis of the monitoring data, generating a control signal by means of a system controller, and controlling a working state of a vehicle monitoring system by means of the control signal. The vehicle monitoring method of the present application enables effective perception and dynamic response to target objects around a vehicle body, improving real-time performance and accuracy of vehicle monitoring, and enhancing driving safety and system reliability.

The invention relates to a four-rotor unmanned aerial vehicle pose control method based on a global sliding mode. The invention relates to the technical field of unmanned aerial vehicle control, and the method comprises the steps: carrying out the modeling of a dynamic model of a quad-rotor unmanned aerial vehicle, and obtaining the nonlinear state space description of the quad-rotor unmanned aerial vehicle; secondly, respectively designing global sliding mode control laws for the position subsystem and the attitude subsystem according to the nonlinear model; according to the output of a position subsystem controller, the expected acceleration is mapped into expected lift force and attitude angle by designing control distribution; and finally, constructing a nonlinear programming problem corresponding to a nonlinear model prediction controller by taking a previously designed global sliding mode control law as a contraction constraint, and solving the problem to obtain a control quantity. According to the method, the quadrotor unmanned aerial vehicle can effectively perform trajectory tracking under the conditions of output constraint and convergence guarantee, and the control precision, the response speed and the safety in the flight process are improved.

The invention relates to an energy storage system protection method and device, an energy storage system, equipment and a storage medium. The method comprises the following steps: acquiring a first communication state from a monitoring background to a system controller in the energy storage system, a first communication state from each battery management controller to the monitoring background, and a first communication state from each battery management controller to the monitoring background through the system controller; if at least one first communication state indicates that the energy storage system has a communication fault, executing a processing action corresponding to the communication fault; wherein the processing action comprises stopping the operation and maintaining the current state. According to the invention, the risk of information loss can be reduced, and the stability and reliability of the energy storage system are improved.

The invention discloses an electro-hydraulic servo system finite time accurate tracking control method and system. The method specifically comprises the steps that a mathematical model of a single-rod electro-hydraulic position servo system is established; based on a multilayer feedforward neural network, constructing a finite time neural network extended state observer, and estimating matching and non-matching unknown function disturbances and system states suffered by the single-rod electro-hydraulic servo system; constructing a finite time accurate tracking control algorithm of the single-rod electro-hydraulic servo system for model uncertainty compensation, and designing a finite time multilayer neural network adaptive law with a fractional order; and an initial value of a neural network weight parameter, an adaptive law matrix and a controller parameter are selected to realize the compensation of the uncertainty of a system model, so that the output of the system tracks an expected control target. According to the method, the steady-state tracking error of the single-rod electro-hydraulic servo system controller is reduced in finite time, the uncertainty compensation capability of the model is improved, and the tracking precision and the tracking speed of the single-rod electro-hydraulic servo system are improved.

Methods and systems, including computer-readable media, are described for exploiting data sparsity during computations for a neural network implemented on a hardware accelerator. Using a system controller, a set of compressed sparse parameters is derived from a parameter tensor and a mapping vector is generated based on the set of compressed sparse parameters. When the system(s) processes an opcode in an instruction indicating sparsity of the parameter tensor, an input vector is obtained from a first memory of the hardware accelerator and the compressed sparse parameters and the mapping vector are retrieved from a second memory of the hardware accelerator. The input vector is processed through a layer of the neural network using the mapping vector and the set of compressed sparse parameters.

During a charge mode of a vehicle, switches of a dual active bridge connected between a traction battery and an inverter system controller are deactivated, switches of the inverter system controller are deactivated, and other switches of the dual active bridge are operated such that electrical energy from a grid connected with the vehicle flows through the inverter system controller and a transformer of the dual active bridge to the traction battery without a motor connected with the inverter system controller generating torque.

A product delivery system includes a product transport vehicle having at least a plurality of tank compartments, internal valves, control valves, fluid property sensors, temperature sensors, overfill sensors, pressure sensors, a system controller, and a memory module. The product delivery system may be operable to communicatively connect with the loading system at a loading station, a fleet management system, or a cloud system to obtain information, such as the amount of liquid product to be loaded into a tank compartment. The product delivery system may be operable to compare the volumes of the tank compartments with the amounts of liquid product to be loaded at a loading station and maintain the internal valve or control valve in a locked state or transition the internal valve or control valve to an unlocked state based on the comparison. Other comparisons based on liquid type or distribution tank volume can also be made.