46 results about "Hierarchical control system" patented technology

The invention relates to the technical field of power supply thermal management control, and discloses a high-voltage variable-frequency power supply thermal management control method for improving energy efficiency, and the method comprises the following steps: carrying out the order reduction processing in combination with a solar high-temperature thermal power generation system, and obtaining a low-dimensional model; carrying out data fusion by using Gaussian process regression and a Kalman filtering algorithm, and reconstructing temperature field information of the system; establishing a multi-objective optimization function, and dynamically adjusting a weight optimization objective; generating a control parameter sequence by using an improved particle swarm optimization algorithm, and adjusting a control decision in real time through iterative optimization; the optimized control parameters are input into a multi-rate hierarchical control system for division execution; and detecting a fault type and switching to a corresponding fault-tolerant control mode. According to the method, a multi-physical field coupling model and an intrinsic orthogonal decomposition technology are combined, an accurate coupling model of an electromagnetic field, a temperature field and a flow field in the high-voltage variable-frequency power generation system is established, through order reduction processing, the dimension of the model is reduced, the calculation complexity is remarkably reduced, and the calculation efficiency is improved.

The invention relates to the technical field of virtual power plant intelligent control, and discloses a virtual power plant intelligent decision-making system and method based on hierarchical cooperative control, and the method comprises the steps: constructing a three-dimensional unified model; an elastic virtual clock system is constructed, and cooperative operation of different time scale systems is realized; developing a time sequence sensing topology reconstruction engine, and optimizing and controlling a topology structure by analyzing time characteristics of nodes; a fault time sequence two-dimensional recovery mechanism is realized, and node faults and time deviation are cooperatively processed; a space-time elasticity evaluation system is constructed, and real-time monitoring of the system state and comprehensive evaluation of the space-time elasticity capability are achieved; according to the invention, by adopting a hierarchical cooperative control technology, time and space dimensions are unified in an elastic control framework, and dynamic self-adaption of each hierarchical control system of the virtual power plant on time characteristics and topological structures is realized.

The application provides a UAV-InSAR-based magnetic suspension system multi-point collaborative reinforcement learning compensation control method, system, device and medium, the method comprises the following steps: using a UAV to carry a lightweight X-band interferometric synthetic aperture radar system to carry out high-precision surveying and mapping on a magnetic suspension line, and constructing an orbit irregularity power spectrum model; a hierarchical control system is constructed, the amplitude saturation controller in the lower layer generates a basic electromagnetic force control law according to the state quantity of the current suspension point; the upper layer compensation controller based on reinforcement learning is an agent, interacts with the environment composed of the suspension frame, the track and the amplitude saturation controller, trains by using the standardized irregularity function obtained from the track irregularity power spectrum model, and outputs the compensation control quantity for each suspension point; the basic electromagnetic force control law and the compensation control quantity are superimposed to generate the total electromagnetic force control law of each suspension point, and the suspension system is actively compensated and globally stably suspended. The application significantly improves the comprehensive control performance of the suspension system.

The invention discloses a hierarchical control system and method for a robot, and the system comprises a driving function domain, a control function domain and a decision function domain, the driving function domain is used for collecting the states of a sensor and an actuator, obtaining state data, and publishing the state data for the decision function domain and the control function domain to subscribe; the decision function domain is used for subscribing state data and receiving a user instruction, generating an action instruction based on the state data and the user instruction, and issuing the action instruction to the control function domain; the control function domain is used for subscribing state data and receiving an action instruction, converting the action instruction into a control instruction according to the state data and issuing the control instruction to the driving function domain; and the driving function domain is also used for receiving the control instruction and carrying out driving control on the actuator based on the control instruction. According to the technical scheme, hierarchical decoupling of a robot control system can be achieved, a closed-loop data stream is constructed, the system operation stability and instruction execution accuracy are improved, and meanwhile independent expansion and upgrading of system functions are facilitated.

The invention relates to the technical field of hoisting machinery, and particularly discloses a driving safety warning system which comprises a signal input unit, a hierarchical control unit in electric signal connection with the signal input unit, a PLC in electric signal connection with the hierarchical control unit and an irradiation unit in electric signal connection with the PLC. The signal input unit comprises a speed sensor and a starting signal module, and the grading control unit is responsible for carrying out danger grading according to signals collected by the signal input unit. According to the driving safety warning system provided by the invention, the driving dynamic state is monitored in real time through the hierarchical control system, irradiation warning is performed according to different colors according to the dynamic state, and a multi-direction and multi-grade driving dangerous area visual warning system is constructed through red-green double-color light area hierarchical projection and dynamic range control; the problems of simplification and staticization of a traditional warning mode are solved; in addition, when materials similar to square pipes are suspended, position deviation caused by shaking of the materials is warned, and the positions are corrected in time.

The invention discloses an inland ship grading deployment and control system and method, and relates to the technical field of ship intelligent supervision, and the system comprises a data collection layer which comprises data collection equipment used for collecting multi-source data; the decision-making layer comprises a computing device, and the computing device computes a ship risk score based on the dynamic weight; carrying out grading judgment based on the risk score; sending different execution instructions to different terminals based on the grading judgment result; the execution layer comprises execution equipment, and the execution equipment or the execution instruction; wherein the dynamic weight is determined by the ship illegal behavior attribute information and a time decay factor, and the time decay factor is used for constraining the historical duration of the illegal behavior in the attribute information. The ship long-term behavior risk is accurately reflected, guidance of high-frequency habitual prisoner key management and control and accidental law violation moderate fault tolerance is objectively achieved, the response strategy is connected with the risk level, and the high-risk target omission ratio is reduced.

The present application relates to the field of automatic sorting control technology, and discloses an automated sorting method and system based on artificial intelligence. The method includes: performing multi-dimensional data collection and processing on packages to obtain feature vectors; inputting the feature vectors into a hierarchical control system for analysis to obtain classification instructions; identifying target channels and timings based on classification instructions and channel loads; assigning tasks to robotic arms according to channel numbers and timings; verifying and calculating the matching degree through dual sensors, triggering reclassification when it is lower than a threshold; and adjusting control parameters based on evaluation data to generate a closed-loop control set. The present application constructs an automated sorting method based on artificial intelligence to achieve a closed-loop control mechanism for multimodal data collection and fusion, hierarchical classification control, dynamic task allocation, real-time quality monitoring, and parameter self-optimization, thereby significantly improving the accuracy, efficiency, and adaptability of the sorting system.

The invention relates to a modular hierarchical attitude control method for a space solar power station, and the method comprises the following steps: S1, carrying out the kinematics description of the space solar power station according to the characteristics of the space solar power station; s2, establishing an in-orbit multi-flexible-body attitude dynamic model of the space solar power station based on a Lagrange equation; and S3, designing a modular hierarchical control system scheme of the space solar power station. According to the invention, the three components of the battery sub-array, the central truss structure and the microwave transmitting antenna are independently controlled, so that the purposes of pointing to the ground of the antenna and pointing to the sun of the battery sub-array are achieved, and the requirements of pointing to the ground and pointing to the sun can be met on the premise of ensuring the attitude control precision.

The invention belongs to the technical field of aerospace vehicle control, and relates to a composite intelligent guidance method for a reentry process of an aerospace vehicle. Comprising the following steps: constructing a three-degree-of-freedom dynamic model of the aerospace vehicle; establishing a strategy-based adaptive step length prediction correction method as a fusion sub-method; the intelligent guidance method based on the LSTM neural network is formed by changing an initial condition and utilizing prediction correction guidance to generate training data, and then building a proper neural network. Designing an adaptive weight adjustment strategy of LSTM neural network guidance and prediction correction guidance according to the remaining voyage, and calculating a composite heeling angle instruction in combination with the weight; structural modules such as a speed and height hierarchical control system, a terminal accurate control system, final-stage optimization control and tail-end emergency control are introduced to perform multi-stage correction on the heeling angle; the aircraft state is updated based on the kinetic model, and accurate guidance of the target position is achieved.

The invention relates to the technical field of intelligent power grid regulation and control, in particular to a multi-agent cooperation micro-grid cluster optimization method and device, and the method comprises the steps: constructing a power coordination control strategy based on distributed consistency based on a system architecture of a micro-grid cluster, so as to determine a distribution proportion; a hierarchical control system is designed while the power coordination control strategy is executed, so that a corresponding economic optimization dispatching instruction is generated according to the current frequency modulation stage; according to the method, the lowest system operation cost and the highest renewable energy consumption rate are taken as targets, an optimal power instruction is generated, a preset event trigger mechanism is utilized to perform communication, and the purpose of multi-agent cooperative micro-grid cluster optimization is achieved. Therefore, the problem that communication efficiency and control performance are difficult to consider at the same time under complex conditions due to the fact that interaction between micro-grids is carried out by adopting a communication mechanism with a fixed period in related technologies and the capability of adaptive adjustment on network topology changes and communication conditions is lacked is solved.

This invention discloses a distributed energy storage collaborative scheduling system for power systems, relating to the field of distributed energy storage optimization technology. It achieves quantitative assessment of the transient stability of the distribution network through transient energy functions, quantifies the system stability margin, and converts it into energy storage output commands. By constructing a two-dimensional hierarchical scheduling mechanism, it divides energy storage levels based on electrical distance and power sensitivity coefficients, and differentiates the allocation of near-end damping output and far-end balancing output to achieve optimal allocation of spatial resources. Simultaneously, it establishes a multi-timescale hierarchical control system, performing hierarchical control based on the response speed of energy storage devices, fully leveraging the advantages of fast and slow energy storage characteristics, and covering the entire transient process of a fault. Furthermore, it adopts a fully closed-loop adaptive scheduling architecture, with the energy storage cluster providing real-time feedback on its operating status, driving the system to dynamically adjust scheduling strategies until the distribution network returns to steady-state operation.

The invention provides a grid-connected stability margin hierarchical control system and a grid-connected stability margin hierarchical control method for new energy station oscillation prevention, which realize whole-field margin closed-loop control based on single-machine autonomy, and comprises a unit autonomous margin control module for performing approximate evaluation on the whole-field margin based on a unit margin model and unit local information, rapid margin control is carried out through a margin autonomous controller; the station margin correction control module is used for accurately evaluating the whole station margin based on the station margin model and the station global information, and correcting the autonomous margin control of the unit through a margin correction controller; and the energy storage online damping control module is used for carrying out self-adaptive active damping injection on the basis of oscillation information detected on line, so that oscillation emergency suppression is realized. The weak network adaptability of the new energy station and the active-disturbance-rejection stability capability of a time-varying operation condition can be improved by a unit autonomy-station correction stability margin hierarchical control framework and an oscillation prevention-emergency suppression control effect which is realized by matching with centralized energy storage.

The invention provides a UAV-InSAR-based magnetic levitation system multi-point cooperative reinforcement learning compensation control method, system and device and a medium, and the method comprises the steps: carrying out the high-precision surveying and mapping of a magnetic levitation line through employing an unmanned plane to carry a lightweight X-waveband interferometric synthetic aperture radar system, and constructing a track irregularity power spectrum model; a hierarchical control system is constructed, and an amplitude saturation controller on the lower layer generates a basic electromagnetic force control law according to the state quantity of the current suspension point; the upper-layer compensator based on reinforcement learning serves as an intelligent agent, interacts with an environment jointly formed by the suspension frame, the track and the amplitude saturation controller, carries out training by utilizing a standardized irregularity function obtained from a track irregularity power spectrum model, and outputs compensation control quantity for each suspension point; and superposing the basic electromagnetic force control law and the compensation control quantity to generate a total electromagnetic force control law of each suspension point, and carrying out active cooperative compensation and global stable suspension control on the suspension system. The comprehensive control performance of the suspension system is remarkably improved.

The invention provides a multi-energy flow collaborative park virtual power plant hierarchical control system, which adopts a cloud-side-end three-level hardware architecture, and realizes physical interconnection based on an alternating current and direct current hybrid micro-grid taking an electric energy router as a core. The system comprises a cloud scheduling platform deployed in a remote data center, a plurality of edge cooperative controllers deployed in a park, and various terminal execution devices connected to the AC / DC hybrid microgrid. The AC / DC hybrid micro-grid takes the electric energy router as a core, integrates various terminal execution devices through a multi-stage DC bus, and realizes DC routing and collaborative management of energy. Wherein the cloud scheduling platform, each edge cooperative controller and each terminal execution device are in communication connection in sequence to form a hierarchical information flow channel; and the electric energy router, the multi-stage direct current bus and each terminal execution device are physically connected in sequence to form a graded energy flow channel. The system is clear in structure, and the energy efficiency of the park energy system and the cooperative response capability to the power grid regulation instruction are improved.

The invention relates to the technical field of BMS management systems, and discloses a battery control method for a BMS management system, and the method comprises the steps: carrying out the topological connection of a plurality of battery packs, and obtaining a hierarchical control system composed of a main control unit, a plurality of sub-control units, and a plurality of battery packs; performing recursive least square parameter identification and battery charging and discharging power equalization optimization on the voltage data, the current data and the temperature data in the hierarchical control system to obtain a battery pack power distribution control instruction; performing Lyapunov stability analysis and sequence planning on the battery pack power distribution control instruction and the load fluctuation data to obtain battery pack safety constraint control parameters; the charging and discharging power of the battery pack is dynamically distributed according to the battery pack safety constraint control parameters, battery pack cooperative control data are obtained and fed back to the main control unit, and the overall control performance and operation efficiency of the BMS are improved.

The invention relates to an unmanned vehicle formation obstacle avoidance control method based on hierarchical control, and the method comprises the steps: building i unmanned vehicle hierarchical control system models, including building a kinematic equation and a kinetic equation, and defining a control target; the adaptive neural network processes uncertain items; obstacle avoidance is realized based on artificial field potential, and the method comprises the steps of introducing a potential field function to solve corresponding repulsive force; and designing a non-fragile sliding mode controller, including designing a kinematics control law and a dynamics control law, so as to realize unmanned vehicle formation obstacle avoidance. The method solves the problem of gain perturbation of the controller possibly caused by various factors under hierarchical control, adopts hierarchical control system modeling, is clearer in control logic compared with a traditional state space expression form, has more practical physical significance, and is more favorable for deploying theories to real objects.

This invention provides an adaptive assistive control method for a lumbar exoskeleton robot. A hierarchical control system is designed, where an upper-level parameter generator generates parameters for the fully assisted state mode in a middle-level finite state machine based on the lumbar flexion angle and plantar pressure values ​​at the lowest point of bending for different wearers. The middle-level finite state machine sets four state modes based on the flexion-extension angle, angular velocity, and plantar pressure of the human lumbar spine. Effective transitions between these modes are possible. Each of the four state modes sends different control parameters to a lower-level force-position hybrid controller, which can achieve single or mixed force-position control of the exoskeleton actuator. This control method fully considers the characteristics of human-machine compatible lumbar assistive exoskeleton operation, is simple to implement, and allows for personalized adjustments of assistive parameters based on the actual working conditions of different individuals, greatly improving the control state diversity and human-machine coordination of the lumbar assistive exoskeleton.

The utility model discloses a hierarchical control system of a high-voltage direct-hanging energy storage system and the high-voltage direct-hanging energy storage system. The hierarchical control system comprises a main controller, a split-phase controller and a unit controller, the main controller is connected with the split-phase controller through a high-speed communication optical fiber, and the split-phase controller is connected with the unit controller through a low-speed communication optical fiber. Through the exemplary embodiment, the number of equipment optical fibers is reduced, and the stability of long-distance communication is improved.

The application discloses a kind of drive-by-wire steering hierarchical control system and method, the system mainly includes upper H2 online optimization self-disturbance control, lower double sliding mode controller, corner distribution module, variable transmission ratio module and vehicle reference model;Upper controller is estimated vehicle yaw angular velocity and system collective disturbance in real time by configuring second-order linear extended state observer, H2 online optimization module minimizes with tracking error and control energy quadratic performance index as target, real-time dynamic optimization self-disturbance control law proportion gain;Corner distribution module is based on speed self-adaptive and executes multi-section steering geometry mapping;Lower controller adopts equal-speed approach law and introduces boundary layer saturation function to suppress chattering, realizes independent closed-loop tracking control to left and right steering wheels.The application considers the robustness, response speed and anti-chattering ability under different speed conditions, significantly improves the comprehensive control performance of drive-by-wire steering system.

The invention discloses an intelligent hierarchical control system and method for hydrogen production through alkaline electrolysis of water, and belongs to the technical field of industrial system control, and the intelligent hierarchical control system comprises an L3 adaptive power predictor, an L2 table look-up-hybrid constraint optimizer, an L1 life integrator-dynamic hot standby scheduler and an L0 dynamic arbitration bus; the power prediction precision and the load adaptability are improved, and meanwhile the hydrogen yield and the system energy efficiency are optimized; by optimizing a start-stop sequence and hot standby scheduling, the start-stop frequency of the electrolytic cell is reduced, and the service life of equipment is remarkably prolonged; multi-layer instruction conflicts are eliminated by means of a dynamic arbitration mechanism, and the stability of the system under complex working conditions and multi-constraint scenes is improved; and embedded real-time operation is supported, and operation requirements of fixed or mobile AWE equipment can be flexibly adapted.

The application discloses a multi-device cooperative hierarchical control system and method based on parameterized step sequences, which comprises an upper computer management layer, a monitoring layer and a PLC execution layer. The application separates action logic from parameters and adopts a three-level hierarchical architecture, so that production process switching only needs to modify the upper computer task queue parameters, and the changeover time is shortened from several days to 10 minutes. The application sets a multi-device space-time cooperation module, so as to realize accurate timing and space cooperation. The application constructs a standardized action logic block library and parameterized step sequence definition, so that the same step sequence can be adapted to different process parameters. The application integrates parameter verification, fault tolerance control and step sequence version management, so as to significantly enhance the reliability and recoverability of the system. The application adopts a standardized module interface and hierarchical architecture, so that a new device only needs to develop a corresponding logic block to access the system, thereby greatly improving the expansibility and integration convenience of the system.

Proposed is a self-optimizing, adaptive processing system and method thereof for grinding and / or crushing cereals and seeds. Measurement data for all relevant physical variables determining the milling process of mills at one or multiple geographical locations are measured and acquired in real time, compared with reference values, and used for autonomous operation adaption, system health check and automated repair of hardware by means of machine learning models. Machine learning output based on system and environmental measurements generates signals to steer steerable devices for maintaining product quality and to monitor and forecast abnormal system behavior in real-time to ensure uninterrupted production plant operation.

The invention discloses a space-based distributed hierarchical management and control system and method for a low-orbit high-density satellite constellation, and relates to the technical field of spatial information technology and satellite cooperative control. According to the satellite constellation management and control method based on the space-based distributed management and control nodes, on the premise that original hardware equipment and functions of heterogeneous constellations are not added, the interconnection and intercommunication level between heterogeneous resource satellite constellations of different shell layers is improved. The low-orbit high-density satellite constellation is composed of a plurality of low-orbit satellite clusters with heterogeneous resources, and a plurality of task star seats with heterogeneous resources can cooperate together to make up the capability limitation of a single satellite and provide various work services. Inter-satellite communication links exist in the shell layers of the task star base, but communication between the shell layers is mutually independent, and the shell layers are not communicated with other task star shell layers. And the task star seat is a high-density constellation with stable shell structure and uniform distribution. The management and control star seat is composed of a plurality of management and control stars distributed on a plurality of groups of orbits, each management and control star can serve as a space-based distributed management and control node, has the capability of being compatible with the communication mode of the task star seat of each shell layer, and can establish communication with the task stars in a proper communication range. According to the invention, interconnection and interworking and global management of large-scale low-orbit satellite group resources can be realized by deploying a management and control node network.

The invention discloses an auxiliary screen interaction system based on an intelligent terminal and a control method. The auxiliary screen interaction system comprises a main machine body, a main processing module, an auxiliary screen, an independent control module and a power management module. The auxiliary screen and the main machine body are integrally arranged, and the auxiliary screen is used for displaying an AI interaction interface and collecting touch input; the independent control module independently analyzes the touch instruction and executes the AI task when the main processing module is in the dormant state, and when the task exceeding the local processing capacity is detected, the main processing module is awakened through the communication link to cooperatively execute the task. The power management module automatically switches the power consumption mode according to the operation state of the auxiliary screen, and low-power-consumption independent display and interaction are achieved. The auxiliary screen is further provided with a sensing unit used for detecting the approaching state of a user and triggering a privacy display strategy, and therefore the interaction experience is improved while information safety is guaranteed. By constructing a hierarchical control system with independent operation of the auxiliary screen and cooperation of the host, autonomous response, energy consumption optimization and privacy protection of the AI function are achieved, the structure is compact, response is rapid, and the method is suitable for multi-form intelligent terminals.

Methods and systems are provided for optimizing energy management of an energy resource site. For instance, a hierarchical energy management system can provide optimized management of energy resource sites with large numbers of energy resources. In particular, the hierarchical energy management system can effectively control energy resources by allocating functionality using different tiers. For instance, one or more energy resources devices can comprise the lowest tier of the hierarchical energy management system. The next tier of the hierarchical energy management system can comprise one or more controllers that can manage the energy resource devices. The next tier of the hierarchical energy management system, a resource manager, generally manages the set of controllers.

The invention discloses a layered control system for a motion simulation platform and a control method thereof. The system comprises a task interface layer, a coordination control layer, a power driving layer and a physical execution layer, the task interface layer is composed of a task design and planning module, a modular function interface module and a real-time task management system; the coordination control layer is composed of an instruction analysis module, a precision motion control module, a data acquisition module and a data processing module. The power driving layer is composed of a power distribution protection module, an efficient driving circuit module and a functional circuit support module. The physical execution layer is composed of an orbital motion execution mechanism, a posture adjustment execution mechanism and a target satellite simulation motion mechanism; through division and cooperation of the four layers, high-precision simulation of complex multi-satellite confrontation tasks can be achieved, the system has the advantages of modularization, expandability, high reliability and the like, and the problems that an existing simulation system is insufficient in expandability, limited in control precision and poor in real-time response capacity are solved.

The present invention provides a hierarchical control system for a DMFC system and its control method, which can minimize the differences between systems and maximize the parallel usage effect throughout the entire life cycle of the product, and can support the cascading of multiple systems, refine the power supply gradient, and provide more possibilities for load matching. The technical solution is as follows: A hierarchical control system for a DMFC system, which includes a cascading controller. The cascading controller includes an MCU unit, an environmental sensor, a fuel sensor, a remote communication module, a positioning module, a power supply unit, and an interface. The interface is connected to a bus interface, and a plurality of branch interfaces are provided on the bus interface, and the branch interfaces are respectively connected to the DMFC systems.

The invention discloses a double-bit same-level control system, a hierarchical control system and application, the double-bit same-level control system comprises two control modules, two state switching modules and two state indication modules; the two control modules and the two state indication modules are respectively configured at different operation positions; the control modules have a switch-on state and a switch-off state, the state switching module has a working state and a non-working state, and the two control modules are connected in series; when the states of the two control modules are the same, the state switching module works, so that the first execution element works, and the second execution element does not work; when the states of the two control modules are different, the state switching module does not work, so that the first execution element does not work, and the second execution element works; the two state indication modules can display the working states of the first execution element and the second execution element. The device is low in use space requirement, low in cost and capable of preventing misoperation.

This invention discloses a hierarchical control system and method based on load management, comprising: a control unit, a main load circuit, a first switching unit, and a second switching unit; the first control terminal of the control unit is connected to the input terminal of the primary load circuit through the first switching unit, and the output terminal of the primary load circuit is connected to the primary load; the second control terminal of the control unit is connected to the input terminal of the secondary load circuit through the second switching unit, and the output terminal of the secondary load circuit is connected to the secondary load; the control unit is used to control the on / off state of the primary load circuit and / or the secondary load circuit according to the working state of the automated production equipment. The hierarchical control system provided by this invention, by classifying the load and selecting different levels of load to conduct according to different working states, allows for immediate resumption of production simply by restoring power upon restarting, greatly improving the overall efficiency of the production equipment.

The application provides a wind turbine safety system hierarchical control system and method, and relates to the technical field of wind power generation. The system comprises a signal input device, a logic control device and an execution device. The signal input device comprises at least a first-level signal input device and a second-level signal input device. The first-level signal input device is used to generate a first-level input signal and a reset signal. The second-level signal input device is used to generate a second-level input signal. The logic control device is used to control the first-level control loop to be disconnected through the execution device when it is confirmed that the first-level input signal meets a first preset condition, control the first-level control loop to be turned on through the execution device after the reset signal is received, and control the second-level control loop to be disconnected through the execution device when it is confirmed that the second-level input signal meets a second preset condition. The application improves the operation efficiency by performing hierarchical control on the wind turbine.