286 results about "Coordinate control" patented technology

The application discloses a virtual impedance cooperative control method for improving the wide-frequency stability of a grid-connected energy storage system, belongs to the technical field of grid-connected converter control, and comprises the following steps: calculating a voltage correction amount and a current correction amount; presetting a low-frequency virtual impedance, a high-frequency virtual impedance and a low-pass filter transfer function; inputting the difference between the calculated voltage and the grid-connected point voltage into a voltage loop to obtain a reference current; inputting the calculated current into a current loop to obtain the fundamental internal potential output by an inverter AC side of the grid-connected energy storage system; performing delay processing on the calculated current to obtain a reference instruction value of a converter modulation signal of the grid-connected energy storage system; and presetting a capacitor voltage feedback decoupling coefficient. The application can simultaneously suppress high-frequency oscillation and low-frequency oscillation in the grid-connected energy storage system and improve the wide-frequency stability of the grid-connected energy storage system.

This invention relates to a method and system for precise control of a flexible loop-connected distribution network with load balancing and protection adaptation. The method includes: real-time acquisition of distribution network data; establishing a load-protection coordinated control model with the goal of achieving optimal comprehensive load balancing and protection parameter adaptability index, and solving for the optimal combination of control parameters based on the distribution network data, including load control parameters of the phase-shifting transformer and correction amounts of relay protection parameters; using the phase-shifting transformer as the core control carrier, executing load balancing control according to the optimal combination of control parameters, and simultaneously dynamically correcting the relay protection; real-time monitoring of distribution network monitoring indicators, comparing them with preset thresholds to determine whether they meet the standards; if any monitoring indicator fails to meet the preset threshold, iteratively optimizing the load-protection coordinated control model until the monitoring indicator meets the standards. Compared with existing technologies, this invention solves the problems of disconnect between load balancing and protection adaptation and insufficient control precision in existing flexible loop-connected technologies, achieving synergistic optimization of both.

The present application relates to heavy load AGV cooperative control technical field, especially in a kind of heavy load AGV group's cooperative control method, the motion state parameter of each heavy load AGV is collected to construct motion state vector, local traffic congestion parameter is predicted, and then local congestion index is calculated and dynamic coordination trigger threshold is determined;Distributed speed coordination is triggered based on local congestion index and dynamic coordination trigger threshold, to determine the reference coordination speed of each heavy load AGV;The reference coordination speed is passed to relevant heavy load AGV, to generate transmission coordination speed;Based on ground state parameter, the motion state vector of each heavy load AGV and transmission coordination speed, the traffic optimization sorting of each heavy load AGV is determined, to modify transmission coordination speed and determine modified coordination speed;Based on the modified coordination speed of each heavy load AGV, the timing and number of subsequent local traffic congestion are predicted, to determine the effective duration of coordination control.The present application improves the running efficiency and safety of heavy load AGV group in complex traffic environment.

This invention provides a miniature general-purpose electrical control device and method, including a power adapter module, a PLC programming control unit, a central coordination controller, and an integrated control module. The invention acquires input power signals, identifies their type and amplitude range, and generates electrical state identifiers. Based on these identifiers, it selects the corresponding rectifier topology, converting the input power into a stable intermediate DC bus voltage, forming a reconfigurable DC energy pool. It acquires multi-channel load state data through miniature sensor nodes, generating a multi-dimensional load feature vector. Using an improved fuzzy PID coordination controller, it integrates load characteristics with a preset channel priority strategy, calculates energy demand weights, and generates a dynamic power allocation matrix. Based on this matrix, it adjusts the operating mode and power flow of the bidirectional DC / DC converter. This invention significantly improves power adaptability and energy utilization in multi-input, multi-output power supply scenarios, effectively addressing complex operating conditions such as grid fluctuations and uneven load distribution.

The present application relates to the technical field of deep-sea resource development, and specifically relates to a deep-sea low-disturbance mining robot control system, comprising: an information perception module for acquiring and transmitting multi-source sensing data; a central control module for receiving and processing the multi-source sensing data to generate coordinated control instructions; a motion and attitude adjustment module for receiving the coordinated control instructions to drive a piston-type variable buoyancy tank and walking feet to execute actions, and to adjust the overall buoyancy, attitude and walking state of the robot; a collection and storage and transportation operation module for receiving the coordinated control instructions to drive a suction mechanical arm and a mineral storage and transportation box to execute actions, and to collect and transport minerals. The present application improves the walking stability and operation adaptability of the robot in complex terrain, effectively prevents subsidence and attitude instability, combines a sand filtering structure and dynamic buoyancy compensation, reduces disturbance to seabed sediments, reduces turbidity current diffusion, and has environmental friendliness, and can perform long-term, continuous and stable high-efficiency mining operations in deep sea.

The present application relates to the technical field of energy storage, and particularly relates to an energy storage black start system and a control method thereof, the system comprising a physical layer, a coordination control layer and a network communication layer; the physical layer comprises at least one black start power module, at least one load control module and at least one grid synchronization module, the coordination control layer comprises a centralized system management unit and a local autonomous controller, and the network communication layer is a star-shaped heterogeneous redundant network based on a time-sensitive network, and is used for realizing data interaction between the coordination control layer and the physical layer. The present application avoids the whole black start failure caused by single point failure and the start interruption caused by the mismatch between the preset plan and the actual situation, improves the success rate of black start, guarantees continuous high-quality power supply to sensitive loads, enhances the robustness under incomplete or delayed communication, ensures the completion of cross-layer instruction transmission and state synchronization within milliseconds, and prolongs the service life of equipment.

The application discloses a pump cylinder integrated immersion liquid cooling system and a precision control method thereof. The system comprises a cylinder body, a plurality of distributed hot plug magnetic pump machine modules, an impeller manifold, a fluid collaborative dynamic redundancy manifold, a multi-source cooling liquid sensing module and an intelligent coordination control module. A plurality of logical cooling partitions are formed in the cylinder body by the arrangement of heating units, and each partition corresponds to a set of split magnetic coupling magnetic pump machine modules. The intelligent coordination control module independently controls each partition pump module in a closed loop according to multi-source temperature sensing data, realizes on-demand cooling of the partitions, and when the pump machine fails, executes fluid dynamic collaborative redundancy control to maintain cooling by scheduling the flow of adjacent partitions and adjusting the load of the equipment. The application realizes precise temperature control and ultra-high energy efficiency, supports online maintenance without stopping to ensure business continuity, has good modularity and cross-scene expandability, and can be widely applied to heat dissipation management of high heat flux density scenes such as data centers and energy storage devices.

The invention discloses a plasma activated water preparation system based on fuzzy PID (Proportion Integration Differentiation) adaptive temperature and power matching cooperative control. The plasma activated water preparation system comprises a human-computer interface, a main controller, a temperature / power sensor, a parallel double fuzzy PID controller, an intelligent coordinator, a power / temperature actuator and a plasma reaction machine, a temperature / power sensor sends a water body temperature Tfb and a discharge power Pfb to a main controller in real time, a temperature fuzzy PID controller and a power fuzzy PID controller output suggested powers Ut and Up, an intelligent coordinator outputs a final power instruction and a cooling control signal after arbitration according to a state machine that Tfb is smaller than or equal to Tset normal power, Tfb is larger than Tset and Pfb is larger than Pmin and power is preferentially reduced, and Tfb is larger than Tset and Pfb is smaller than or equal to Pmin and is forcibly cooled. And the power actuator continuously adjusts the discharge power according to the discharge power, and the temperature actuator implements auxiliary heat dissipation, so that the water temperature is accurately locked in the optimal active matter generation interval under the nonlinear and time-varying working conditions, the discharge intensity is ensured not to be lower than Pmin, and high-activity, high-energy-efficiency, continuous and stable plasma activated water preparation is realized.

This invention proposes a method and system for electrothermal coordination overload control of grid-connected wind power systems. The method involves acquiring current measurements of the transmission components and wind farm of the grid-connected wind power system; predicting wind speed based on meteorological data; obtaining the temperature of the transmission components; and predicting the active power of the wind farm within a set time step of the current control cycle. Considering the predicted wind speed, transmission component temperature, and wind farm active power, an optimization problem is established based on the electrothermal coordination model of the grid-connected wind power system. Process-oriented electrothermal coordination control is then implemented to ensure that the temperature of the grid-connected line does not exceed limits during overload control. The optimization problem is solved under constraints to determine the optimal control sequence. The active power of the first wind farm group in the optimal control sequence is applied to the current wind farm's power generation control. This invention uses the maximum allowable temperature of the transmission components as a limit to dynamically coordinate and continuously optimize the wind farm output and the temperature of the external transmission components in the grid-connected system. Compared to traditional overload control methods, this method can further tap the overload potential of the external transmission components, which is beneficial for alleviating the contradiction of wind energy consumption.

This invention relates to the field of electric bus control, and particularly to a method, system, device, and medium for dual-motor coordinated control of an electric bus. The method involves acquiring multi-source state data of a pure electric bus during operation and constructing a working condition feature vector. Based on the working condition feature vector, historical operating data is subjected to working condition clustering analysis to establish a mapping relationship between working condition features and coordinated control parameters. A dual-motor coordinated control parameter optimization model is constructed, and under constraints of motor efficiency spectrum, battery power boundary, and system stability, the coordinated control parameters are optimized through multi-objective optimization to obtain the optimal coordinated control parameter vector. This enhances the adaptability of the vehicle control system under complex operating conditions, extends the service life of the motor and power system, improves the stability and reliability of the vehicle control system, reduces the impact of torque fluctuations, and improves passenger comfort.

This invention provides a controller for a low constant-speed traction system of a multi-mode new energy locomotive, comprising: an excitation control module connected to a diesel generator set; an uncontrolled rectifier module connected to both the diesel generator set and a DC-DC converter module; a DC-DC converter module connected to the uncontrolled rectifier module, an energy storage device, and a traction module; a traction module connected to the diesel generator set, the DC-DC converter module, and a load; and a control system connected to the excitation control module, the DC-DC converter module, and the traction module. The control system acquires information on the external power supply type and control mode requirements via hard-wired or network signals. Through internal communication, it regulates the cooperation of each module to dynamically adjust the output torque, output power, and power change rate, achieving optimized selection of the target speed and redundancy and coordinated control of the current axle speed. This addresses the requirements of new energy locomotives for low constant-speed loading / unloading and extremely low-speed loading operations.

The application discloses a kind of multi-port solid state transformer coordination control method, device, terminal and medium, it is related to power distribution network technical field, the scheme provided in the present application is matched with bus voltage hierarchical threshold by equipment type division, the coordination control logic of different equipment is dynamically matched, the collaborative optimization of photovoltaic power generation maximum power tracking, energy storage charge-discharge power regulation and load hierarchical switching is realized, ensure that photovoltaic, energy storage and load equipment form optimal cooperation under different working conditions, with the advantages of improving the reliability of multi-energy system power supply and power quality, avoiding direct current bus voltage overrun and equipment overload risk.

The application discloses a layered collaborative control method for auxiliary deaerator pressure stabilization of a molten salt steam generator, builds an auxiliary optimization control layer on the original coordination control system of the unit, and forms a layered collaborative architecture of "MPC optimization decision-CCS execution tracking". The upper layer calculates and rolls over the optimal set values of the molten salt steam pressure, the deaerator pressure and the feedwater temperature in real time based on model predictive control (MPC); the lower layer realizes fast and stable tracking of the set values through three control loops of cascade-ratio control, three-impulse collaborative control and PID control embedded in CCS, and is seamlessly coordinated with the original feedwater and combustion control logic of the unit. The application effectively solves the problems of multivariable strong coupling, large response inertia and strong mode switching impact of the coal-molten salt coupling system in deep load regulation, significantly improves the load response speed, operation safety and low-load economy of the unit, and enhances the accommodation capacity of the power system to new energy.

This invention discloses a multi-parameter coupling-based deep peak-shaving full-condition optimization control method for coal-fired power units. Addressing the problems of existing technologies, this invention constructs a multi-parameter coupling index system, calculates the comprehensive coupling strength between each parameter and the load, and selects core parameters. Dynamic clustering is used to finely divide the full-condition operation from 20% to 100% rated load into multiple operating zones. An LSTM-GRU dual-channel deep learning prediction model is established for each operating zone. A three-layer hierarchical control architecture is designed, comprising load optimization scheduling, boiler-turbine coordination control, and combustion optimization execution. The boiler-turbine coordination layer uses multivariate model predictive control and online self-tuning of multi-objective weights through fuzzy inference. The combustion execution layer uses the NSGA-III multi-objective evolutionary algorithm to optimize air distribution. A constraint-adaptive tuning mechanism based on safety margin is established to form a closed-loop iterative optimization across all operating conditions. This invention can significantly improve the load response speed, main parameter stability, and combustion economy of the unit during wide-load operation.

The application discloses a kind of reaction kettle adaptive pressure and temperature collaborative control system based on multi-parameter fusion, it is related to reaction kettle control technical field, to solve the problem that existing technology cannot dynamically adapt the complex working condition of high viscosity material;Including signal acquisition module, data fusion processing module, intelligent prediction and decision module and execution module;The signal acquisition module is used to collect the pressure of the kettle top position and the pressure of the kettle bottom position, the temperature of the kettle top position, the temperature of the kettle position, the temperature of the kettle bottom position and the temperature of the radial kettle wall position, the temperature of the center position in the kettle, the signal of stirring rate and the upper material area material viscosity and the lower material area material viscosity;The data fusion processing module is used to pre-process and fusion extraction to the collected signal, to obtain characteristic parameter.The application has the advantages of improving the stability and safety of reaction kettle operation process.

The application discloses a green clean energy comprehensive energy-saving management platform based on an Internet of Things intelligent terminal and particularly relates to the technical field of intelligent monitoring and optimal control, and is used for solving the problem that the prior art has no solution or outputs a high-risk operation strategy due to neglecting the coupling relationship between subsystems when dealing with multiple security constraints; through the Internet of Things terminal, operation parameters and security constraint boundaries are acquired, when multiple constraints are close to being reached, the key coupling path of the connected constraint is identified; then, the change of the conflict correlation strength between the constraints under different relaxation schemes is simulated, a target scheme that can reduce the network structure tightness to the maximum extent is selected by constructing and analyzing the conflict relationship network, a group of coordinated constraint boundaries is generated; finally, the global energy efficiency optimization calculation is performed and the equipment set value is output based on the boundaries, so that the coordinated control of the safe and efficient operation of the complex energy system is realized.

The application discloses a method for analyzing the interaction of multiple grid-connected inverters based on matrix norm theory, and aims at the interaction between grid-connected inverters, takes a power distribution system containing two grid-connected inverters as an analysis object, establishes an equivalent grid-connected model containing two inverters based on the Norton theorem, derives a transfer function matrix of a control system, and quantitatively analyzes the relationship between the interaction between inverters and the system frequency, equivalent grid-connected inductance and controller combination mode based on the spectral norm and condition number of the transfer function matrix, so as to provide a reference for the coordinated control of the inverters. A simulation model is built in Matlab / Simulink for analysis. The application provides a simple and effective method for analyzing the interaction of inverters, and provides a theoretical method for the coordinated control of the inverters.

The application discloses a device and method capable of realizing all-around real-time monitoring of tunnel structure deformation. The device comprises multiple non-contact displacement sensors, a rotating support assembly, a three-dimensional space locator assembly, an inclination sensor and a control unit. The multiple non-contact displacement sensors are equidistantly arranged along tunnel walls on the same cross section of the tunnel and are fixed through the rotating support assembly; the rotating support assembly can realize scanning measurement along the cross section and the longitudinal direction of the tunnel. The three-dimensional space locator assembly is used for monitoring the position change of the base point of the sensor, the inclination sensor is used for accurately controlling the scanning angle of the first rotating assembly, and the control unit is responsible for coordinated control and data processing. The application integrates automatic scanning, multiple sensor data mutual verification, environmental compensation and remote monitoring functions, can realize real-time, continuous and accurate monitoring of various deformation parameters such as tunnel ellipticity, segment misalignment and cross section convergence, significantly improves the monitoring efficiency and precision, and guarantees the tunnel operation safety.

This invention discloses a hierarchical coordinated control method and system for gas-cooled microreactors using deep reinforcement learning, belonging to the field of nuclear reactor control technology. The method constructs a three-layer architecture comprising an intelligent decision-making layer, a signal processing layer, and a PID controller layer. It utilizes a SAC (Smart Agent Control) agent to optimize the incremental output of electrical power and outlet temperature based on the gas-cooled microreactor's thermal parameters. The signal processing layer performs rate limiting and low-pass filtering on the optimized incremental output to generate a smooth setpoint command. The bottom-layer PID controller then outputs turbine speed and airflow signals to perform load tracking. This invention integrates the advantages of deep reinforcement learning in handling strong coupling and nonlinear dynamics with the robustness of traditional PID control. Through a physical constraint layer, it effectively suppresses oscillations and overshoot of the AI ​​control signal, achieving fast, smooth, and safe decoupled control of the gas-cooled microreactor across the entire power range, significantly improving load tracking performance and extending actuator life.

The application provides a kind of multi-unit urea hydrolysis ammonia production system coordinated control method and system, method includes the following steps: with the DCS system linkage of unit control, real-time acquisition each unit key operating parameter and hydrolysis ammonia production system key parameter;According to the key operating parameter of each unit and the key parameter of hydrolysis ammonia production system, dynamic load distribution model, steam consumption model and economic operation model are established;According to the output / ammonia consumption of hydrolysis reactor of dynamic load distribution model, the opening of urea solution feed valve of hydrolysis reactor and operating temperature are controlled according to the output / ammonia consumption of hydrolysis reactor;According to steam consumption model, obtain the steam consumption, and control the opening of steam regulating valve according to the steam consumption;According to economic operation model, obtain the optimal solution of the lowest total cost between the number of hydrolysis reactor operation and start-stop times.The technical effect of the application is that the hydrolysis reactor can be safely operated to meet the ammonia supply demand of the unit, and the economic operation can be realized.

This invention belongs to the field of mining automation and intelligent monitoring technology. It discloses a multi-parameter online monitoring platform and method for the grinding and beneficiation process in a mineral processing plant, including: collecting equipment operating parameters and material flow data; combining this with ore physical property detection values ​​to calculate real-time load index and capacity margin; dynamically dividing the crushing ratios of the coarse, medium, and fine crushing stages to determine the target discharge particle size range and generate a crushing ratio allocation vector; identifying pre-diversion nodes, determining pre-screening separation points and dry waste disposal trigger conditions to obtain material diversion path identifiers; performing coordinated adjustment to generate a set of equipment coordinated control parameters; distributing these parameters to each crushing device to monitor the oversize return ratio in real time; and recalculating the crushing ratio allocation vector and updating the equipment coordinated control parameter set when the return ratio exceeds a preset threshold. This significantly improves the overall efficiency and energy-saving level of the crushing system.

This invention discloses a method and system for coordinating and controlling the entire operation of a gas turbine unit, belonging to the field of intelligent control for gas turbine units. It includes a first manual control module, a first NOT module, a first quality judgment module, a second quality judgment module, a second NOT module, a first AND module, a third NOT module, a second AND module, a first OR module, a first SR trigger module, and a second SR trigger module. The main functions of this invention include: through a layered architecture, multi-mode switching, and intelligent algorithm integration, it achieves fully automated and intelligent control from start-up to shutdown. This system not only improves the safety and stability of unit operation but also significantly enhances load response speed and energy utilization efficiency, providing technical support for gas turbine units to participate in deep peak shaving and AGC operation under the new power system.

This invention discloses an AGC testing and optimization system and method for new energy power plants based on digital twins and multi-dimensional evaluation. The system includes: constructing a digital twin model that reflects the dynamic characteristics of the actual power plant; simulating coordinated control scenarios under complex power grid conditions within the digital twin model; constructing a comprehensive evaluation system including basic performance indicators, regulation quality indicators, operational robustness indicators, and power grid value indicators; constructing a state space using the evaluation indicators in the comprehensive evaluation system; and adaptively adjusting the control parameters of the AGC system based on a reinforcement learning-based intelligent parameter optimization algorithm to complete the AGC system testing and optimization based on digital twin technology. This method and related devices can realize AGC testing and optimization of new energy power plants based on advanced simulation technology, multi-dimensional evaluation models, and intelligent optimization algorithms.

This invention discloses an intelligent control logic system for a side-discharge bucket, relating to the field of engineering machinery control technology. It includes a sensor module, an actuator, and a control module. The sensor module collects multi-dimensional data from the side-discharge bucket. The actuator drives the side-discharge bucket to rotate 0° to 90° around its axis, dumping material onto a conveying device, and simultaneously activates a stirring device to agitate the material and prevent clumping. The control module detects the initial states of the sensor module and the actuator, reads the multi-dimensional data to determine if the material weight is excessive, and then, based on the material's characteristics, introduces a fuzzy PID control algorithm to control the actuator. This invention is applicable to material handling equipment such as loaders, achieving efficient and precise side-discharge operations through automatic and manual dual-mode coordinated control.

This invention discloses a control method for an intelligent fan system, relating to the field of fan control. The method includes: collecting multi-point temperatures of the outdoor heat exchanger coil and calculating subcooling to identify the initial frost period, frost development period, and full frost critical period; actively reducing fan speed and introducing solar water heating circulation when active frost protection conditions are met; calculating the natural temperature drop rate and expected temperature rise rate of the coil, and determining whether active frost protection conditions are met based on the average coil temperature; entering defrost mode when the frost protection time window is too short; using the difference between the solar collector outlet temperature and the average coil temperature as the effective driving temperature difference, calculating the expected temperature rise rate based on the coil heat capacity, and prioritizing the activation of the solar circulation pump to raise the coil temperature after determining that active frost protection conditions are met; and adjusting fan speed in stages according to the pre-frost temperature drop ratio; thus achieving the identification of the frost stage and coordinated control of fan speed, reducing indoor temperature fluctuations.

This invention discloses a multi-mode collaborative control system and method for marine elevators, comprising: a landing door button box installed at each landing station, each landing door button box including at least an open / close button for operating the landing door of that floor, a platform control button for calling / sending the platform in landing station control mode, and a request button for sending request signals in centralized control mode; a main control box installed at the main control station, which includes an indicator device for displaying request signals from other landing stations in centralized control mode; and a central controller, communicatively connected to all landing door button boxes and the main control box, configured to switch between landing station control mode and centralized control mode. By switching between the two modes, it can flexibly handle two typical scenarios: daily scattered operations and large-scale centralized transportation, balancing operational convenience and system efficiency. Through unified scheduling by the main control station, the material transportation process becomes orderly and efficient.

The application discloses a kind of superhigh voltage substation construction environment multidimensional influence coordinated control method, it is related to superhigh voltage substation construction environment control technical field, it aims at solving the technical problem of low control precision and insufficient sealing reliability caused by the dynamic coupling interference of multidimensional environmental parameters when GIS equipment splicing of superhigh voltage substation in high-altitude heavy ice area, including the following steps: S1, construct splicing microenvironment multidimensional parameter perception module, collect the environmental pressure, SF6 gas characteristics, environmental temperature and humidity and splicing surface temperature core parameters of high-altitude heavy ice area superhigh voltage substation GIS equipment field splicing area;S2, based on the collected parameters, excavate the dynamic coupling interference law of each parameter under high-altitude low air pressure, and construct a coupled interference suppression multidimensional coordinated control model;S3, according to the model output, the linkage control instruction containing interference avoidance strategy has the advantages of accurate and stable splicing microenvironment and guaranteeing the sealing performance of equipment splicing.