252 results about "Consistency control" patented technology

The invention relates to the technical field of automatic generation, in particular to a knowledge graph driven teaching material automatic generation method and system. The method comprises the following steps: receiving teaching target input, analyzing the teaching target input into a multi-layer structure based on a preset teaching intention meta-model, and mapping the multi-layer structure to a knowledge graph node; generating an optimal teaching path through a rule engine in combination with the node topology position and the teaching intention level; after the topological fingerprint of the target textbook system is recognized, compatibility analysis is executed, and if a structural gap exists, a transition module is automatically inserted to reconstruct a path; calling the bound multi-modal content unit according to the reconstruction path node, and completing modal coordination according to a cross-modal dependency graph; and finally, performing structured rendering on the integrated content, and outputting a textbook body adaptive to the terminal. The method has the advantages of teaching intention deep understanding, multi-modal content consistency control and cross-textbook system adaptation, and the intelligence level and generalization ability of textbook generation are improved.

The invention discloses a multi-agent spatio-temporal dynamic system intrusion tolerance and fault tolerance cooperative security consistency control method. The method comprises the following steps: constructing mathematical models of a leader and a follower of a multi-agent spatio-temporal dynamic system based on a partial differential equation; constructing a mathematical model of actuator faults and spoofing attacks; defining a consistency condition to obtain an error system; constructing a proper Lyapunov functional, and obtaining a system stability criterion by using a Lyapunov stability theory; and the error of the multi-agent space-time dynamic system tends to zero by using the state feedback controller, so that the system realizes safety consistency control. The invention comprehensively considers that a multi-agent space-time dynamic system is easy to have actuator faults in a complex environment and is easy to suffer from network attacks in network communication, introduces an intrusion tolerance and fault tolerance cooperative security consistency control method, improves the robustness of the system, and improves the reliability of the system. And the multi-agent space-time dynamic system can achieve a safety consistency control target.

The invention discloses a cache management method and device for memory access, equipment and a storage medium, and relates to the technical field of storage, and the method comprises the following steps: obtaining a data read-write message of a central processing unit; detecting a data popularity type of an access address of the data read-write message; searching cache data corresponding to the access address from a target cache region; if the cache data is not found in the target cache region, sending a corresponding read-write request to a memory so as to find memory data corresponding to the access address from the memory; by setting the preset cache regions corresponding to the cold data and the hot data respectively, the cache can be partitioned according to the heat of the data, so that cache resources are reasonably allocated, the cost is reduced, the memory access efficiency and speed are improved, finer consistency control can be realized, and the cache hit rate and the system performance are improved; therefore, the required data is searched in the corresponding preset cache region according to the heat of the data, and the memory access speed is increased.

The invention relates to the field of multi-agent system control, and particularly provides a second-order nonlinear multi-agent system consistency control method and system, and the method comprises the steps: building a second-order nonlinear multi-agent dynamic system model with a plurality of same agents; establishing a leader following finite time consistency sufficient condition; establishing a distributed sliding mode surface based on a second-order nonlinear multi-agent dynamic system model; obtaining a control protocol by combining a preset dynamic event triggering condition, a preset adaptive law and a distributed sliding mode surface, and introducing the control protocol into a distributed time triggering controller to obtain a novel controller; and verifying the novel controller by utilizing a condition that the leader follows the finite time consistency is sufficient, obtaining a stable expected trajectory of the multi-agent, and completing the control of the consistency of the second-order nonlinear multi-agent system. According to the invention, trajectory tracking and consistency control of the leader following intelligent agent system are realized, and external disturbance can be effectively inhibited.

The invention provides an unmanned aerial vehicle consistency control method based on a Stackelberg-Nash game, and relates to the technical field of multi-agent consistency and game optimization control. The method comprises the following steps: establishing a motion attitude nonlinear dynamic model of each unmanned aerial vehicle in a multi-unmanned aerial vehicle system, and defining a communication network topological relation; constructing a consistency error and a performance index function; the method comprises the following steps: establishing a layered Stackelberg-Nash game mechanism with a plurality of participants; utilizing a Bellman optimality principle to construct a coupling HJB equation to solve an optimization control strategy of the leader and the follower; and constructing a single evaluation network to estimate the optimization control strategy of the leader and the follower in each execution so as to realize an optimization control target. A favorable tool is provided for analyzing a series of control problems of master-slave consistency of multiple unmanned aerial vehicles in the control field, and the reliability of a control system can be enhanced to a certain extent.

The invention discloses a nonlinear multi-agent system sampling consistency control method and system and a medium, and the method comprises the following steps: S101, obtaining system model parameters, including a nonlinear function # imgabs0 #, a pulse gain # imgabs1 #, a sampling period # imgabs2 #, a communication topological graph # imgabs3 # and a leader-follower kinetic equation; s102, verifying an assumed condition; s103, constructing a Lyapunov function # imgabs4 #, and analyzing the stability of an error system in combination with pulse disturbance; s104, deriving a consistency condition through a Lyapunov method and a pulse theory, calculating key parameters, and determining a pulse gain and a sampling period constraint; s105, selecting parameters meeting conditions; s106, constructing a sampling controller containing pulse disturbance; and S107, implementing the controller and performing numerical simulation. According to the invention, the anti-pulse disturbance capability is strong: through the design of the pulse gain # imgabs5 #, the instantaneous interference of an input channel is effectively counteracted, and the robustness of the system is improved; a sampling data control strategy is adopted, a control signal is updated only at a discrete sampling moment, and the communication burden is reduced.

The invention discloses a security boundary consistency control method for a multi-agent spatio-temporal dynamic system. The method specifically comprises the following technical steps: firstly, constructing a leader-follower spatio-temporal dynamic mathematical model of the multi-agent system based on a partial differential equation; then establishing an abnormal working condition mathematical model containing an actuator fault and a network spoofing attack; deducing to obtain an error dynamic system equation by defining a system consistency control target; constructing an energy function by using a Lyapunov stability theory, and deducing to obtain a system stability criterion; finally, a security boundary consistency control method is designed, and multi-agent space-time dynamic consistency control is achieved. The method effectively solves the problem of high cost caused by arrangement of actuators in a whole spatial domain in a traditional scheme and the problem that a multi-agent system is easily interfered by network attacks in a communication process, and has remarkable application value in engineering practice.

The invention relates to the technical field of underwater robot cooperative control, and provides an elastic consistency control method and system of a multi-underwater robot system. The elastic consistency control method for the multi-AUV system comprises the following steps: discretizing and linearizing the multi-AUV system, introducing a performance index to describe the influence of communication topology on the dynamic behavior of the system, and calculating the elastic consistency of the multi-AUV system on the basis of a centralized optimal control method of a local decoupling system and a robust stability theory. And designing an elastic consistency controller and obtaining controller gain by solving a local algebraic Riccati equation so as to realize consistency control of multiple AUV system states. According to a sparse mode matrix spectrum of a distributed controller, a system stability condition is given, and efficient cooperation and stable operation of a multi-AUV system in a complex underwater environment are ensured. According to the method, the calculation and communication complexity is remarkably reduced, the method is suitable for a multi-AUV cooperative working environment, and a new technical solution is provided for cooperative control of the underwater unmanned system.

The invention relates to the technical field of multi-agent control, in particular to a second-order multi-agent system control method based on dynamic event triggering, and the method comprises the steps: building a kinetic model of a leader-follower second-order multi-agent system considering unknown external interference, and designing a distributed fixed time observer on the basis, so as to achieve the control of the leader-follower second-order multi-agent system. State information of the leader is estimated in real time; introducing a fixed time extended state observer to estimate external disturbance; proposing a sliding mode surface based on the observation error; a distributed fixed-time sliding mode consistency tracking control protocol is designed, so that tracking errors are accurately converged within fixed time, an ideal control effect can be achieved even if external interference exists, the communication burden is effectively reduced through introduction of a dynamic event triggering mechanism, and the sesame phenomenon is avoided; tracking consistency control of the multi-agent system can be realized in a fixed time, the robustness and reliability of the system are improved, and communication resources are saved.

The invention discloses a distributed consistency control method suitable for a multi-unmanned trolley system, and designs a control strategy based on a preset time disturbance observer for the problem that communication topology dynamic change and external disturbance interference are difficult to consider at the same time. In system modeling, each trolley is modeled as a second-order nonlinear system, and external disturbance is generated by a heterogeneous external source system. In the design of the controller, a disturbance observer with a preset time convergence characteristic is introduced, and strict convergence of disturbance estimation errors can be realized in finite time. Control input is fused with three parts of neighbor state difference feedback, leader tracking and disturbance compensation, and it is ensured that the system can still achieve a consistent target in a complex dynamic environment. By constructing a combined Lyapunov function and combining a Markov jump system theory, it is proved that a system state error and a disturbance estimation error converge to zero after a preset time. A simulation result verifies the effectiveness and stability of the method under communication switching and non-ideal disturbance interference.

The invention provides a dynamic scene-oriented smart home adaptive control system and method, and belongs to the technical field of smart home control. Comprising a scene recognition module, a compatibility evaluation module and a consistency control module, the scene recognition module comprises a data acquisition module, a user behavior analyzer, a power consumption scene (EUS) database and a scene recognition algorithm, and the compatibility evaluation module comprises electric appliance operation state recognition and a compatibility evaluation algorithm. The consistency control module comprises a control strategy generation, feedback and optimization module, and the scene recognition module, the compatibility evaluation module and the consistency control module are used in cooperation. According to the invention, through efficient data acquisition and processing, real-time identification of user behaviors and environment changes is realized, so that the intelligent level and the living comfort level are improved. In combination with user demand analysis and multi-device coordination control, the system can optimize resource utilization and provide personalized and convenient home experience.

The invention discloses a heterogeneous multi-agent dynamic event trigger output consistency control method and device under FDI attack and a storage medium wherein the heterogeneous multi-agent dynamic event trigger output consistency control method under FDI attack comprises the following steps: a heterogeneous multi-agent system receives FDI attack data; the FDI attack data triggers a trigger response of a dynamic event trigger mechanism introduced in a tracking state observer; self-adaptively compensating the influence of the FDI attack data on the heterogeneous multi-agent system through a self-adaptive state observer; fDI is false information injection. The invention discloses a heterogeneous multi-agent dynamic event trigger output consistency control method and device under FDI attack and a storage medium. The problem of output consistency of a heterogeneous multi-agent system under FDI attacks is solved, and a dynamic event triggering mechanism is introduced to save communication resources.

The embodiment of the invention provides a dynamic event trigger consistency control method and system for a multi-agent system, and the method comprises the steps: setting a dual-threshold line based on a Lyapunov function, dividing a system state function into an activation time period, a holding time period and an idle time period, and dynamically switching the working mode of the controller, namely inputting a non-zero control quantity in an activation period to quickly converge a state, performing input zero setting in an idle period to save resources, maintaining control input at the previous moment in a keeping period to avoid frequent switching, and forcibly performing zero setting control input in a DoS attack period. Secondly, monitoring a measurement error (a deviation between a current state of the intelligent agent and a historical trigger state), a consistency error (a state deviation between the intelligent agent and a leader) and an auxiliary variable in real time, and if the weighted contribution of the measurement error in an activation time period exceeds the sum of the weighted contribution of the consistency error and the auxiliary variable, triggering a communication update state and reducing redundant communication;

The invention discloses a multi-agent system dynamic event triggering safety control and verification method and system, and belongs to the field of event triggering safety control of a multi-agent system. The method comprises the following steps: firstly, establishing a distributed control mathematical model of a multi-agent system under a multi-network attack condition, then acquiring communication network information to judge whether a network is in a malicious network attack state, then, formulating a distributed finite time security consistency control protocol, and setting a dynamic event triggering mechanism, so as to ensure that the network is in a malicious network attack state. A mathematical model of a multi-agent control system coping with multiple network attacks is constructed, finally, sufficient conditions for ensuring that the mathematical model achieves finite time safety consistency are set, the sufficient conditions comprise DoS common signal meeting conditions, and target control is achieved. According to the invention, network attacks can be resisted in limited time, and a consistency control target is realized on the premise of saving system resources.

The invention provides a multi-axis mechanical arm model consistency control method based on neighbor event driving, and the method comprises the steps: firstly building a nonlinear multi-mechanical arm system and a dynamic model of a corresponding mechanical arm, which comprises a leader mechanical arm and a plurality of sub-mechanical arms; the sub-mechanical arm obtains state information of a neighbor sub-mechanical arm according to the neighbor relation; when the leader mechanical arm sends out a leader signal, the sub-mechanical arms obtain state information of the leader mechanical arm and state information of the neighbor sub-mechanical arms according to the state information of the sub-mechanical arms and the connection relation between the sub-mechanical arms and the neighbor mechanical arms, and then consistency error signals of the sub-mechanical arms are calculated; and a neighbor event triggering mechanism and a sub-mechanical arm consistency controller are designed, parameters of the sub-mechanical arm consistency controller are adjusted according to the consistency error signal based on the neighbor event triggering mechanism, and a control signal of the sub-mechanical arm is generated. According to the method, the consistency control problem of the multi-agent system can be solved, a neighbor event triggering mechanism is introduced to reduce the communication load, the communication burden of the system is reduced, and the communication efficiency of the system is improved.

The invention discloses a multi-mechanical-arm consistency control method based on event triggering under communication limitation. The method comprises the steps that a multi-mechanical-arm system model is established for a multi-mechanical-arm system based on the algebraic graph theory; for the multi-mechanical-arm system model, performing algorithm control on each mechanical arm through a distributed consistency control algorithm; when consistency control is carried out on the mechanical arms, a communication protocol is triggered through a preset event, and communication between the mechanical arms is controlled; and when the multiple mechanical arms need to send the state information, communication channels are allocated to the multiple mechanical arms through a preset channel scheduling strategy. According to the technical scheme provided by the embodiment of the invention, the utilization rate of the communication channel of the mechanical arm is improved and the limited channel use condition is improved by designing the channel scheduling strategy based on event triggering under the condition that the channel is limited.

The invention provides a multi-cavity mold PET bottle preform production consistency optimization control method, which comprises the following steps of: arranging high-response infrared thermal imaging and piezoelectric pressure sensors to realize high-precision real-time synchronous acquisition of temperature and pressure data of each cavity, and establishing a cavity exclusive thermal history fingerprint model by using time sequence feature extraction and a deep neural network; combining the thermal historical fingerprints and the real-time filling data, dynamically calculating the thermal interference intensity between the cavities, and generating a multivariable coupling relation matrix; decomposing an overall consistency target by using principal component analysis and a multi-target optimization algorithm, generating a personalized compensation instruction adapted to thermal inertia and sensitivity of each cavity, and realizing multivariable decoupling cooperative control through adaptive PID parameter adjustment and virtual decoupling variables; wall thickness detection quality feedback is introduced, a model closed-loop calibration mechanism is constructed, adaptive iterative optimization of a control strategy and forming quality is guaranteed, and the consistency of multi-cavity injection molding products and the robustness of the system are remarkably improved.

According to the method, the problem of the preset time proportion consistency of the multi-agent system under the disturbance condition is researched, two preset time proportion consistency control protocols are provided, the proportion consistency of the multi-agent system within the preset time can be achieved, the convergence time boundary of the system does not depend on the initial state of the system, and the system reliability is improved. The upper bound of the convergence time of the system can be set by selecting a single time parameter instead of a complex setting function, the setting property is good, the actual convergence time of the system is closer to the preset convergence time, the actual demand is better facilitated, the condition of topology switching is considered, and the method is more practical in actual application and has a wide application prospect. The correctness of the two control protocols is proved through an algebraic graph theory and a Lyapunov theory, and the effectiveness and superiority of the proposed protocols are verified through a simulation contrast experiment.

The invention discloses a two-way output consistency control method for a heterogeneous multi-agent system, and the method comprises the following steps: 1, constructing state and output equations of a follower agent and a leader agent, calculating an output tracking error ei (k), and constructing an augmented system state space model and a linear control input ui (k); 2, designing a distributed bipartite observer for each follower agent to enable an output tracking error ei (k) to be zero all the time, and replacing a leader agent state of the augmented system state space model with a state of the distributed bipartite observer; 3, defining a Q function, solving the Q function to obtain an optimal control strategy, and introducing a Q-learning algorithm to obtain an optimal control gain only depending on an input state of the augmented system state space model; 4, introducing a fuzzy logic system approximation Q function to enable a matrix phi i to meet a full-rank condition, and updating a fuzzy weight by minimizing a Bellman residual error to obtain an optimal control gain of the input state of the augmented system state space model; and updating the control gain by adopting a gradient descent method, and calculating linear control input ui (k) by utilizing the updated control gain.

The invention discloses an output consistency control method based on a one-dimensional fluctuation partial differential multi-agent system, and relates to the cross technical field of multi-agent system control and partial differential equation application, and the method comprises the steps: constructing a dynamic model, an interference model and a reference signal model of a multi-agent system; constructing a directed communication topological graph including a leader and a plurality of agents; based on the directed communication topological graph and the reference signal model, respectively constructing reference signal observers of the informed intelligent agent and the uninformed intelligent agent; based on the interference model, constructing a local interference observer of the intelligent agent; constructing a conversion function, and converting the dynamical model into a dynamical model under the auxiliary system according to the conversion function; constructing a control law for the dynamical model under the auxiliary system; according to the control law, adjusting the state of each agent under the auxiliary system until the tracking error is zero; according to the invention, the output consistency of the multi-agent system can be realized in a complex environment.

The invention relates to the technical field of multiple cores, in particular to a multi-core system and a dynamic cache coherency method.In the system, a mode adjuster collects the access condition of each core in a multi-core processor to a private cache region under a first cache coherency protocol; an applicable second cache consistency protocol is determined, and an adjustment instruction is sent to the consistency controller; the consistency controller mainly comprises a plurality of control sub-modules for different cache consistency protocols, and is designed in a modularized and reconfigurable manner, so that protocol switching is facilitated, and common logic is reasonably reused to reduce the actual overhead of hardware logic; and the consistency controller is used for starting the control sub-module corresponding to the second cache consistency protocol indicated by the adjustment instruction, so that the plurality of cores realize cache consistency among the plurality of cores through the control sub-module started by the consistency controller, thereby dynamically adjusting the cache consistency protocol, solving the limitation of a static consistency protocol, and improving the cache consistency of the plurality of cores. And the cache consistency performance and efficiency of the multi-core system are improved.

The invention relates to a distributed cooperative processing method and system based on multi-source heterogeneous data real-time synchronization, source data and related factors thereof are packaged to generate a space-time event stream, and the related factors refer to environment factors associated with the source data; respectively establishing dynamic consistency contracts for the source data of the space-time event streams and related factors thereof, processing the space-time event streams meeting the consistency contracts, and generating target events according to the corresponding consistency contracts; performing analysis based on the operation sequence and the context of the space-time event stream, and outputting an analysis result; the target event is corrected based on the analysis result, the result is synchronously output, and the result is synchronized to the corresponding data source, performance, elasticity and expandability are achieved at the same time, the rigid choice of the CAP iron triangle (Bruhr theorem) in practice in the distributed field is broken, unprecedented precise consistency control is provided, and the method is suitable for popularization and application. And correct execution of the business rule is ensured.

The invention discloses a bipartite consistency control method of an unmanned aerial vehicle cluster under lagging full-state constraint, and relates to the technical field of unmanned aerial vehicle cluster cooperative control, comprising the following steps: establishing an unmanned aerial vehicle attitude dynamic model subjected to lagging full-state constraint and input saturation; constructing a coordinate conversion mechanism, and converting an original constrained system into an equivalent unconstrained system; constructing a cooperation-competition coexistence topology communication network, and defining an error dynamic state in combination with a self-adaptive backstepping control technology; an interval type-2 fuzzy logic system and a self-triggering communication protocol are integrated, and a self-adaptive fuzzy self-triggering fixed-time bipartite consistency controller is designed. According to the method, feasibility conditions do not need to be preset, through innovative coordinate conversion and control strategies, the problem of fixed-time dichotomy consistency control of the unmanned aerial vehicle cluster under lagging full-state constraint and input saturation is effectively solved, meanwhile, the network communication load is remarkably reduced by means of a self-triggering mechanism, and the system reliability is improved. And the control precision and the resource utilization efficiency of the system are improved.

Disclosed in the present invention are a virtual impedance angle adaptive control method and system for parallel operation of converters, relating to the technical field of converter system control, and comprising: by means of a consistency control algorithm, observing an active average value and a reactive average value; by means of the active average value and the reactive average value, obtaining a trigonometric function value corresponding to the virtual impedance angle; obtaining a virtual resistance and a virtual negative reactance corresponding to each converter; using a dynamically changing virtual impedance angle to perform power coordinate transformation on the active power and reactive power of the converter in order to obtain generalised active power and generalised reactive power; and controlling the generalised active power and generalised reactive power. The present invention is applicable to a scenario of parallel operation of converters, such as a microgrid; by dynamically adjusting the virtual impedance angle in real time, the problem of voltage deviation after the introduction of virtual impedance can be significantly improved, and the voltage quality can be improved.

The invention relates to the technical field of artificial intelligence and control, in particular to a non-linear multi-agent system fixed time consistency control method and device and a medium. According to the control method, a backstepping recursion method is used as a control design framework, a self-adaptive fixed time consistency controller based on an auxiliary compensation system is provided, and the problem of non-linear multi-self-body system consistency control under time-varying input delay is solved. By providing and changing a control input signal by a person, the motion trajectory of the multi-agent system can be modified as required. Time-varying input time delay and an unknown nonlinear function are considered in a system model, so that the system is more general. Wherein an unknown time-varying delay function is processed by constructing an auxiliary compensation system, and an unknown nonlinear function is processed by using radial basis function neural network approximation. According to a fixed time control correlation lemma, an actual fixed time adaptive consistency control method is provided to ensure that the consistency error of the multi-agent system converges to a neighborhood near an original point in fixed time.

Due to the fact that a traditional unmanned aerial vehicle formation control system is highly dependent on a host, and a traditional consistency control algorithm is not good in convergence effect on a time-varying reference state, the invention provides an improved second-order consistency control theory. According to the theory, in the aspect of communication, all the unmanned aerial vehicles only need to establish communication links with part of the unmanned aerial vehicles, it is guaranteed that the whole unmanned aerial vehicles are a minimum directed spanning tree, and then deployment of a consistency algorithm can be achieved. Therefore, the consistency control algorithm added with the time delay item provided by the invention can carry out better convergence in a time-varying reference state. And the unmanned aerial vehicles can keep a more stable flight formation in actual flight.

The invention provides a self-adaptive integral concurrent learning consistency control method for an unmanned aerial vehicle cluster, and relates to the technical field of unmanned aerial vehicle control, and the method comprises the steps: building an unmanned aerial vehicle attitude dynamic model suffering from a hostile attack; a compensation variable and a first-order filter are introduced, and a coordinate conversion equation is established in combination with an adaptive dynamic surface control technology; an attack compensator is designed for online estimation and counteracting the influence of spoofing attacks on the system; an integral concurrent learning strategy and an event triggering control mechanism are fused, a memory event triggering interval type-2 fuzzy integral concurrent learning-based security consistency controller is designed, and the stability of a closed-loop attitude control system is analyzed based on a Lyapunov stability theory. Under the condition of limited excitation, the leadless attitude asymptotic consistency control under the unmanned aerial vehicle cluster spoofing attack is realized, the safety control problem under the condition that communication resources are limited in actual engineering application is effectively solved, and the robustness and the control precision of the unmanned aerial vehicle when the unmanned aerial vehicle is subjected to network attack are remarkably improved.

The invention discloses a trajectory tracking consistency method for a nonlinear heterogeneous multi-agent system, and relates to the field of artificial intelligence. According to the method, graph theory knowledge is utilized to construct a communication topological graph of a nonlinear heterogeneous multi-agent system; constructing a consistency control protocol based on the dynamic motion model of the follower agent; in the process that the multiple follower agents communicate with one another through the communication topological graph, for each of the multiple follower agents, the state and the expected track of the neighbor follower agent are obtained, and when an event triggering control strategy of the distributed control law is met, the state and the expected track of the neighbor follower agent are obtained; and updating the state of the follower agent according to the state of the neighbor follower agent, the expected trajectory and a consistency control protocol, and realizing the trajectory tracking consistency of the follower agent through a distributed control law within a preset time. The method can solve the communication cost problem when a nonlinear heterogeneous multi-agent system carries out trajectory tracking consistency.

The invention discloses a wind power plant active frequency supporting capacity quantification method considering a wake effect. The method comprises the following steps: 1) a fan consistency factor quantification strategy considering fan rotor kinetic energy and electromagnetic power increment is used for evaluating the running state of a single fan; 2) putting forward a wind power plant fan consistency control strategy based on a leader-follower algorithm for cooperating with wind power plant fans with differentiated frequency supporting capabilities caused by different wind speeds due to a wake flow effect; 3) proposing a wind power plant active frequency support capability quantification strategy considering the wake effect for evaluating the active frequency support capability of the wind power plant so as to maximize the active frequency support capability of the wind power plant; according to the method, the problem of supporting capacity difference of each fan of the wind power plant caused by the wake effect is considered, and a distributed consistency control strategy is constructed according to the kinetic energy of the fan rotor and the electromagnetic power increment, so that each fan in the wind power plant is more fairly coordinated, and the active frequency supporting capacity of the wind power plant is maximized.

The invention relates to a method and a device for controlling consistency of double ignition performance of an ion electric propulsion system. The method comprises the following steps: acquiring a thermal throttler, an anode power supply and a screen grid power supply which are used for controlling the double-firing ignition performance of the ion electric propulsion system; the heat throttlers are screened, so that the gas supply performance consistency control of the double-engine ignition performance control of the ion electric propulsion system is realized; through the anode power supply and the screen grid power supply, power supply performance consistency control and software consistency control of double-firing ignition performance control of the ion electric propulsion system are realized. According to the dual-engine thruster performance consistency control method and system, the purpose of dual-engine thruster performance consistency is comprehensively achieved by improving air supply performance consistency control, improving power supply performance consistency control and improving software consistency control, finally, the satellite disturbance torque is minimum, the propulsion efficiency is highest, and the whole satellite application efficiency is improved.