101 results about "Time domain model" patented technology

The invention discloses a multi-end line pilot protection method and system based on time domain model identification, and relates to the technical field of electrical engineering, and the method comprises the steps: obtaining a three-phase voltage sampling value, a three-phase current sampling value and a switching value of each end of a multi-end line; judging whether each end of the multi-end line meets a protection starting condition or not; if yes, differential voltage variation and differential current are calculated, and correlation coefficients of the differential voltage variation and the differential current are calculated; judging whether the correlation coefficient is within a preset fault threshold range or not; if the correlation coefficient is not within the preset fault threshold range, determining that the multi-terminal line has an external fault, and enabling the protection device not to act; and if the correlation coefficient is within a preset fault threshold range, determining that the multi-terminal line has an internal fault, and enabling the protection device to act to remove the fault. According to the invention, the influence of capacitive current and a power electronic power supply on pilot protection performance is overcome, the operating characteristics of a relay protection device are improved, and safe and stable operation of a power system is ensured.

The invention belongs to the field of stability analysis of a grid-connected system of a grid-building converter, and particularly relates to a grid-building converter grid-connected resonance risk analysis method considering virtual impedance, which comprises the following steps: S1, establishing a three-phase time domain differential equation and simplifying the equation into a single-phase equivalent time domain model; converting into a harmonic state space model of the main circuit; s2, constructing a harmonic state space model of a control system comprising an active power control loop and a reactive power control loop; s3, introducing a virtual impedance control link, and correcting the voltage amplitude reference phasor output by the reactive power control loop; deriving an expression of a modulation signal disturbance phasor; s4, obtaining a complete frequency domain admittance model YGSC of the network construction converter considering the influence of the virtual impedance; an open loop gain TGFM of the grid converter grid-connected system is constructed; and S5, drawing a Nyquist curve based on TGFM, and carrying out resonance risk determination. According to the method, the interaction dynamic characteristics of the network building converter and the power grid under the influence of the virtual impedance can be accurately represented, and the resonance risk of the grid-connected system is evaluated.

The invention discloses an electrical impedance cancer detection method based on a self-attention mechanism. The method comprises the following steps: S1, acquiring an electrical impedance signal and sending the electrical impedance signal into an input layer for preprocessing; s2, the preprocessed signal is divided into two branches, the first branch is input into a frequency domain network to extract frequency domain features of the signal, and the second branch is input into a time domain model to extract high-dimensional features of the signal; s3, inputting the frequency domain features extracted by the frequency domain network and the high-dimensional features extracted from the time domain model into a feature fusion layer for fusion; and S4, processing the fused features by using a self-attention mechanism, finally transmitting the processed features to a full connection layer and a classification output layer for cancer risk prediction, and outputting a detection result. According to the method, the frequency domain features and the high-dimensional features are extracted through the frequency domain network and the time domain model respectively and then fused, the fused features are enhanced by using a self-attention mechanism, and the accuracy and reliability of cancer detection are improved.

The invention discloses a three-phase LLC resonant converter parameter design method and system based on a time domain model, and belongs to the field of power electronic resonant converter parameter design, and the method comprises the following steps: determining a design demand and working condition distribution; according to the time domain model of the three-phase LLC resonant converter, respectively selecting feasible working modes for different working conditions; according to the selection result of the working modes, the transformation ratio n of the transformer is designed, and the maximum gain Mmax and the minimum gain Mmin are calculated; establishing a relationship between the effective value of the resonance current and the parameters of the resonance converter, and deducing an optimal parameter design constraint condition of the effective value of the resonance current under all working conditions; and solving the parameters of the three-phase LLC resonant converter with the optimal effective value of the resonance current under all working conditions by adopting an optimization method on the premise of meeting all parameter design constraint conditions. The method can optimize the effective value of the full-working-condition resonance current and improve the efficiency of the converter.

The invention discloses an unmanned vehicle trajectory tracking control method based on adaptive time domain model predictive control, and relates to the technical field of automatic driving, and the method comprises the steps: obtaining a system predictive equation, converting a target function into a standard quadratic programming form function, and obtaining a system predictive equation based on a constraint condition and the standard quadratic programming form function; calculating to obtain a control increment sequence in a control time domain; constructing a model prediction trajectory tracking controller; a model prediction trajectory tracking controller is used for tracking the trajectories of the tested vehicle under different working conditions, and an optimal time domain data set is determined; training the optimal time domain data set by using an adaptive neural fuzzy inference system to obtain a time domain optimization module; and based on the time domain optimization module and the model prediction trajectory tracking controller, generating a self-adaptive time domain model prediction controller which is used for adjusting the prediction time domain and the control time domain of the tested vehicle under different working conditions in real time. The adaptability and trajectory tracking effect of the system are effectively improved, and the vehicle out-of-control risk is reduced.

The invention discloses a method and a device for suppressing harmonic instability of a new energy grid-connected system, electronic equipment and a storage medium. The method comprises the following steps: acquiring basic data of a diode rectifier in the new energy grid-connected system; constructing a time domain model of the diode rectifier according to the basic data; converting the diode rectifier time domain model into a diode rectifier frequency domain model based on a harmonic linearization algorithm; constructing a frequency domain small signal model according to the diode rectifier frequency domain model and the diode rectifier direct current side filter inductance parameter; constructing an alternating current side impedance model and a direct current side impedance model according to the frequency domain small signal model and the leakage inductance parameters of the diode rectifier transformer; generating the resonant frequency of the new energy grid-connected system according to the AC side impedance model and the DC side impedance model; and adjusting a direct current side filter inductance parameter of the diode rectifier according to the resonant frequency. According to the invention, the harmonic stability of the grid-connected system can be improved.

The invention belongs to the field of intelligent driving vehicle dynamics control, and discloses a three-axis vehicle fault-tolerant trajectory tracking method based on infinite time domain model predictive control, and the method comprises the steps: obtaining the current state feedback of a vehicle chassis in real time; acquiring the coordinate position of the current vehicle in real time; the method comprises the following steps: reading the speed and acceleration of a vehicle in an east-north-sky coordinate system through vehicle-mounted CAN (Controller Area Network) communication by utilizing differential positioning service fusing IMU (Inertial Measurement Unit) and GPS (Global Positioning System) of inertial navigation Modeling a vehicle dynamics model; establishing a tracking error model; establishing an optimization solution problem of steady-state reference; the generation of the reference quantity is described as an optimization solution problem; designing a trajectory tracking controller; the steering actuator controls output; the control quantity is obtained through the MPC optimization problem constructed in the sixth step, and the control quantity is the tire turning angle and is sent to a vehicle chassis through a CAN signal. According to the method, the potential relation can be mined, so that effective mapping to fault data is realized.

The invention discloses a wind power low-frequency power transmission line time domain model identification pilot protection method and system, and the method comprises the steps: collecting the voltage and current of an offshore wind power low-frequency power transmission line, specifically, collecting the A, B and C three-phase voltage and current data of a home terminal and the three-phase current data of an opposite terminal, carrying out the phase-mode conversion of the collected voltage, and carrying out the phase-mode conversion of the collected voltage; the phase-mode transformation matrix can adopt a Clark transformation matrix; when a set condition is met, protection is started; for the collected current data, eliminating the current flowing into the shunt reactor, and subtracting the current of the shunt reactor from the measured current to obtain an actual line differential current; calculating opposite-end voltage current by using the local-end voltage current; determining a first derivative of the differential current variable quantity and a second derivative of the differential voltage variable quantity to obtain a correlation coefficient of the differential current voltage; and comparing the calculated differential current and voltage correlation coefficient with a setting value, and when a fault phase line discrimination condition is satisfied, determining that a corresponding phase has a fault.

The invention discloses an SVC (static var compensator) control method of a high-power power supply system based on a predictive active disturbance rejection mechanism, which comprises the following steps of: establishing a combined operation time domain model of the high-power power supply system and a static var compensator, and acquiring delay parameters in advance by utilizing a system identification method; predicting and calculating a reactive instruction signal of the static var compensator based on the voltage reference signal of the load side of the power supply system and the direct current side current; inputting the predicted reactive instruction into a linear active disturbance rejection controller, estimating the total disturbance of the system in real time through an extended state observer, generating a compensated control signal in combination with a proportional differential combination control law, and driving the system to output a tracking and predicting reactive instruction; and the tracking prediction reactive instruction acts on the static var compensator to form closed-loop anti-interference control. Through cooperation of prospective reactive power instruction generation based on a load side voltage reference signal and disturbance real-time compensation of a linear active disturbance rejection control framework, a grid side reactive power impact value is reduced, and bus voltage stability is enhanced.

The invention discloses a grid-connected converter adaptive control method based on multi-expert fusion and decision optimization, and belongs to the field of electrical engineering. The invention provides a grid-connected converter self-adaptive control method based on multi-expert fusion and decision optimization aiming at the multi-dimensional state adaptation requirement of a complex power grid and the difficulty in adaptation of a fixed control model to complex and variable working conditions. According to the method, the multi-expert model and the decision optimization layer are established, the Transform time domain model is constructed, the adaptability of the converter is improved on the long time scale, and the collaborative optimization capability of the grid-connected converter in the complex heterogeneous power grid environment is achieved. The method has the capabilities of quickly adapting to known working conditions and adaptively optimizing unknown working conditions, so that the grid-connected converter continuously keeps the optimal control performance in a complex disturbance environment.

The invention relates to a mechanism data combined driven short-process iron and steel enterprise energy consumption prediction method and system, and the method comprises the following steps: solving the continuous rule of the material flow and temperature of the previous and later processes based on the coupling relation of the material flow and the energy flow between the iron and steel production processes, and a metallurgy mechanism; mechanism driving and data driving models are analyzed, and in the data driving model part, an improved hidden semi-Markov model is adopted to fit continuous rules of material flow and temperature of previous and later processes; and constructing an iron and steel enterprise power prediction model combining the mechanism driving model and the data driving model, outputting a power prediction result of each process, carrying out time domain superposition on the power prediction results of each process to obtain an iron and steel enterprise total power characteristic time domain model, and outputting an energy consumption prediction result according to the iron and steel enterprise total power characteristic time domain model.

The invention discloses a heavy-load AGV hydraulic suspension attitude keeping method, and belongs to the technical field of heavy-load AGV control, and the method comprises the steps: obtaining a vehicle-road surface joint state vector through sliding mode-extended Kalman filtering, obtaining a vehicle linearization dynamic matrix and a covariance thereof through a gating circulation unit network, and obtaining a vehicle-road surface joint state vector; and on the basis, a model prediction controller of a variable prediction time domain is used for outputting a target cylinder displacement instruction and a pressure instruction, and the instructions are corrected in real time so as to realize dynamic level control of the vehicle platform. According to the method, a sensing, decision-making and execution closed-loop self-adaptive link is formed through a four-source coupled pavement and centroid estimation link, a double-layer decision-making architecture composed of a gating circulation network and model prediction control, and a hydraulic network tension compensation mechanism based on a graph convolution network; and road surface prior, load distribution and multi-cylinder pressure instructions can be synchronously updated in a millisecond-level time scale, so that the dynamic levelness and the energy utilization rate are remarkably improved.

The invention relates to the technical field of switching power supplies, and discloses a bilateral modulation control method capable of realizing reverse operation of an LLC resonant converter of a ZCS. Comprising the following steps: deducing time domain expressions of converter operation stages Pr and Or under the influence of parasitic inductance Ls, calculating by using a time domain model to obtain zero current turn-off of a primary side switch of the converter in a full working frequency and load range, and designing a bilateral modulation controller. According to the method, zero-current turn-off of a primary side switching tube is realized; from the perspective of a steady-state simulation waveform, the turn-off current error is less than 1A, so that the switching loss is effectively reduced, the energy loss of the converter in the reverse operation process is reduced, and the overall operation efficiency is further improved; the voltage peak of a primary side switching tube can be reduced; by reducing the voltage spike, the risk that the switch tube is damaged due to overvoltage is reduced, the operation safety and stability of the converter are improved, and reliable operation of the whole system is guaranteed.

According to the dynamic positioning method and device for the fishery ship, the electronic equipment and the storage medium provided by the invention, filtering and information fusion are carried out by collecting the current motion state and the surrounding environment parameters of the ship, and the ship pose state estimation information and the environment disturbance estimation information are output; based on the rolling time domain model and the multi-target performance index function, according to the current constraint target, the ship pose state estimation information, the environment disturbance estimation information and preset propeller use energy consumption parameters, an optimal control sequence corresponding to the current control period is output, and according to the optimal control sequence and a propeller current efficiency matrix, the propeller is controlled. And determining current thrust output information of each thruster, and controlling each thruster to output thrust according to the priority of the thruster and the current thrust output information of each thruster. The method can realize automatic fishery ship dynamic positioning, improves the dynamic positioning efficiency and accuracy of the fishery ship, and can be widely applied to the technical field of ship motion control.

The invention discloses a distributed driving vehicle path tracking method based on variable time domain model predictive control, and belongs to the technical field of distributed driving electric vehicle control. Based on the five-degree-of-freedom vehicle dynamics model and the linear tire model, an MPC path tracking control model is established; adaptively adjusting a prediction time domain in the MPC path tracking control model by using a fuzzy controller to obtain a variable time domain MPC path tracking control model; and converting the path tracking problem of the variable time domain MPC path tracking control model into a constrained quadratic programming optimization problem, solving to obtain a front wheel rotation angle increment at the current moment, superposing the front wheel rotation angle increment at the current moment with a front wheel rotation angle at the previous moment to obtain a front wheel rotation angle at the current moment as a control quantity, and driving a vehicle to track an expected path. The path tracking precision of the distributed driving electric vehicle is improved, and the driving stability is enhanced.

The invention relates to the technical field of power electronics, in particular to a rapid modeling method and system for a direct-current micro-grid converter, and the method comprises the steps: carrying out the harmonic component fitting of a switching function of a discontinuous converter based on the Fourier series in a triangular form, and generating a fitting switching model; according to the fitting switch model, obtaining a photovoltaic improved time domain model by using a maximum power point tracking algorithm; utilizing the fitting switch model to construct an energy storage improved time domain model; a bipolar switching function is defined according to the three-phase inverter circuit topology, and an inverter improved time domain model is obtained based on the bipolar switching function; and integrating the photovoltaic improved time-domain model, the energy storage improved time-domain model and the inverter improved time-domain model into a DC micro-grid architecture, and constructing an optical storage DC micro-grid joint simulation model. According to the method, the switching function of the discontinuous converter is fitted through the Fourier series based on the triangular form, so that rapid and accurate modeling of the DC micro-grid converter is realized, and technical support is provided for safe and stable operation of the micro-grid.

The invention discloses a long-time-domain predictive control and undisturbed switching method for a hybrid system networking converter, and belongs to the technical field of power system control. In order to solve the problems of poor dynamic performance and easy impact of mode switching of a grid construction / grid following converter hybrid system under new energy high-proportion grid connection, the method specifically comprises the following steps: constructing long time domain model prediction current control, replacing a traditional PI current inner loop, performing discrete modeling based on a dq coordinate system, performing double-step prediction compensation delay, and updating reference current through Lagrange extrapolation. The current tracking precision and the harmonic suppression capability are improved; designing an undisturbed switching strategy, unifying an alpha-beta coordinate system and a current control loop, locking a switching angle, synchronizing an initial value of an integrator, and dynamically adjusting reference voltage to ensure that variables are continuous; two strategies are integrated in a hybrid framework, and stable operation and smooth switching under strong / weak power grids and transition working conditions are realized. According to the invention, the total harmonic distortion rate of the grid-connected current is reduced to below 0.85%, and the method has the advantages of no voltage and current impact in switching and enhanced stability and flexibility of the power system.

The invention provides a speed model correction method based on well drilling constraint. The speed model correction method based on well drilling constraint comprises the following steps: step 1, constructing an initial speed model; step 2, establishing an interval velocity model through velocity spectrum data; 3, establishing a well calibration time domain model; 4, speed inversion of model constraint is carried out; 5, speed conversion is carried out, and the well calibration average speed is calculated; and step 6, time-depth conversion is carried out through the average velocity after well calibration, and an inversion interval velocity body, a seismic attribute body and horizon data of a depth domain are obtained. According to the velocity model correction method based on the drilling constraint, a three-dimensional time domain velocity model is converted into a three-dimensional depth domain velocity model, and the seismic velocity field and logging are combined, so that time-depth conversion with relatively high transverse and longitudinal accuracy is realized.

The invention discloses a nuclear power station load tracking method and system based on hybrid time domain model predictive control, and belongs to the technical field of nuclear power station operation optimization. According to the method, a mixed time domain prediction model based on finite time domain accurate prediction and infinite time domain equivalent approximation is constructed and is used for uniformly representing complex multi-time scale dynamics under the action of multi-physics coupling of the nuclear power station, so that the operation safety and operation constraint of the nuclear power station are strictly guaranteed; the objective of the invention is to minimize a load tracking error in a full time domain range so as to realize rapid and smooth tracking of a power grid load instruction. The hybrid time domain model predictive control designed by the invention can accurately predict the dynamic response of quick change and slow change of the nuclear power station at the same time, and implement closed-loop optimal control through online rolling optimization, thereby not only being beneficial to guaranteeing the safety and stability of load tracking operation of the nuclear power station, but also effectively improving the operation flexibility of the nuclear power station participating in peak regulation of a power grid.

The invention discloses an intelligent agricultural machine trajectory tracking control method based on adaptive model prediction. The method comprises the following steps: establishing a discrete linear state space equation based on an agricultural machine kinematics tracking error model; a fuzzy controller is designed by taking the lateral error and the vehicle speed as input, adaptive adjustment is performed on a prediction time domain, a current optimal prediction time domain is calculated, and the trajectory tracking precision is improved; inputting the optimal prediction time domain into a prediction control model of the controller, designing an objective function according to the model, and converting a solving process into a constrained quadratic programming problem; the target function of the model prediction controller is solved, a first variable of an optimal solution is obtained, the variable serves as the control quantity increment at the current moment, and the control input of the agricultural machine is adjusted. Aiming at the problem that a fixed prediction time domain model prediction control algorithm is difficult to meet the path tracking accuracy requirement during trajectory tracking control, the trajectory tracking accuracy and the site adaptability in the agricultural machinery operation process are improved to the maximum extent.

The invention discloses a convergence judgment method for a round or spherical part layout system, electronic equipment and a storage medium. The method comprises the following steps: dispersing each circle or ball in a container into independent units by adopting a discrete unit method; selecting a model according to the collision deformation degree; the contact force between the circles or the balls is calculated based on the impulse principle; establishing a motion differential equation of a single circle or ball in the vertical direction, and obtaining a second-order transfer function; respectively establishing a time domain model and a complex frequency domain model, and performing simulation verification on convergence under single disturbance and multi-disturbance; by adjusting the disturbance quantity value, the action time and the included angle between the circle center connecting line of the two intersecting circles and the horizontal direction, the steps are repeated to predict convergence under different conditions. According to the method, efficient and accurate convergence judgment can be provided for the field of layout optimization for different types of round (ball) objects, the utilization rate of raw materials is maximized, and waste materials are reduced. And the problem of layout divergence caused by unstable object movement is avoided.

The invention relates to a ground-based lightning positioning method based on a time domain finite difference model, and belongs to the technical field of lightning detection. According to the method, based on a two-dimensional time domain finite difference algorithm model, different configurations of soil conductivity, an ionosphere and geomagnetic field parameters are considered, and a lag database of ground wave peak value arrival time when lightning electromagnetic waves are propagated along different directions and different distances is established; and taking the positioning result of the thunder and lightning positioning network as an initial value, considering the time lag of the position reaching different observation stations, repositioning by using a TOA time difference positioning method, and finally obtaining an optimized positioning result. According to the method, the two-dimensional time domain finite difference algorithm model is utilized for the first time, the influence of three factors including the soil conductivity, the ionosphere and the geomagnetic field is comprehensively considered, optimization processing of the thunder and lightning positioning result is achieved, and better technical support is provided for work in the aspects of foundation thunder and lightning positioning network construction, evaluation and the like.

The invention discloses a tracked vehicle loading wheel dynamic load analysis method, system and device and a medium, and relates to the field of tracked vehicle dynamics, and the method comprises the steps: constructing a road surface unevenness time domain model considering front and rear wheel input variable time difference correlation and left and right wheel input coherence, and outputting a road surface excitation input signal; establishing a parameterized kinetic model of the tracked vehicle suspension system and further determining a state-space equation; according to the road surface excitation input signal and the state-space equation, obtaining a dynamic load and a dynamic load coefficient of each loading wheel; establishing a tracked vehicle action system simulation model, performing dynamic load simulation based on different driving speeds, different road surface grades and different track shoe parameters by adopting a multi-body dynamics simulation method, and determining a change rule of a dynamic load of a loading wheel; the structure of the tracked vehicle loading wheel is optimized according to the change rule of the loading wheel dynamic load, the loading wheel dynamic load can be accurately analyzed, and a reliable basis is provided for design optimization of the tracked vehicle.

The invention relates to the technical field of electric power systems, in particular to a static power flow analysis method and system for an electric heating hybrid system, and the method comprises the following steps: S1, electric heating power equivalent modeling: building a relation between electric power and heat flow through thermal power calculation and equivalent conversion, and forming a unified time domain model; s2, heat supply pipe network average temperature response modeling: based on thermodynamics and heat transfer theories, constructing a response model considering heat input and loss, and deriving differential and Laplace expression; s3, equivalent modeling of external characteristics of the electric boiler: modeling the electric boiler as a pi-type circuit, calculating impedance and admittance parameters, and establishing a relation between thermal power and electric power; and S4, static power flow unified solving: constructing an electrothermal coupling solving framework, combining power flow and hydraulic calculation, and expanding Jacobian matrix optimization convergence. According to the method, high-precision power flow analysis and efficient solution of the electric heating hybrid system in a unified time domain are realized, and the modeling precision, the calculation efficiency and the engineering applicability are remarkably improved.

The application relates to the field of photonic device modeling, and discloses a parameterized optoelectronic joint simulation platform construction method for optoelectronic chip design, which is characterized in that, in an electronic design automation platform, a unified model framework of a photonic device is constructed based on a hardware description language, and conversion between frequency domain response and time domain response is realized in the model, including the following steps: a general VerilogA model framework is constructed based on the frequency domain response of the photonic device; a frequency-time domain numerical conversion mechanism is realized in the model; and for the photonic device with dispersion characteristics, a parameterized time domain model is constructed based on a finite impulse response. The application can directly embed the photonic device model into an electronic circuit simulation environment, co-simulate the electronic device, support time-frequency domain analysis of the cascade structure and the loop structure, thereby avoiding the complicated steps of separate simulation by relying on external simulation tools in the process of optoelectronic chip design, and further improving the design efficiency and iteration speed of the chip.

The invention relates to a modulation method and system for improving test power supply efficiency of a current transformer, and the method comprises the specific steps: building a time domain model based on a primary side resonant capacitor uCr1, a primary side resonant inductive current iLr1 and an excitation inductive current im of an LLC resonant converter, deducing a time domain expression of a single-phase-shift mode of the LLC resonant converter through a time domain analysis method, and calculating the test power supply efficiency of the LLC resonant converter. Calculating a phase shift angle of the LLC resonant converter in a low-frequency light-load working mode by combining a modal time domain equation; when the LLC resonant converter works, the output load and the working frequency of the LLC resonant converter are detected, and the working state of the LLC resonant converter is judged; when the output load of the LLC resonant converter is lower than a light-load threshold value and the working frequency is lower than a low-frequency threshold value, the LLC resonant converter automatically enters a low-frequency light-load operation mode; and when the LLC resonant converter enters the low-frequency light-load operation mode, the size of the phase shift angle is adjusted according to the time domain model, so that the LLC resonant converter is separated from the low-frequency light-load operation mode.

The invention relates to the technical field of electrical engineering, and discloses a DC power flow controller transient oscillation law analysis method, system, device and medium, and the method comprises the steps: obtaining the inertia characteristics of a sending end converter station, providing precise basic data for model building, and guaranteeing the accuracy and reliability of a model; a direct current power flow controller time domain model is established based on inertia characteristics, actual system dynamic behaviors can be truly reflected, and support is provided for frequency domain analysis; the establishment of the frequency domain model enables the transient characteristic analysis of the DC power flow controller to be more intuitive and convenient, and facilitates understanding and application; the transient characteristics can be accurately obtained by solving the frequency domain model, and a basis is provided for optimizing controller parameters and improving system stability. According to the method, the accuracy and efficiency of transient oscillation law analysis of the direct current power flow controller are improved, and guarantee is provided for stable operation and optimal control of a power system. The transient characteristics are deeply analyzed to facilitate understanding of the working principle and behavior characteristics, and scientific basis is provided for design and operation of a power system.

The invention belongs to the technical field of new energy power generation and grid connection, discloses a grid-side converter fault ride-through control structure modeling method, system and equipment and a medium, and aims to solve the problems of difficult modeling, high cost, poor extrapolation and lack of universality caused by dependence on manufacturer internal logic or massive experimental data in the prior art. According to the method, disturbance input and current output data under a limited working condition are acquired, a dimension raising mapping function is constructed to map the input to a high-dimensional feature space, a Koopman operator is solved based on ridge regression to establish a global linear mapping model, active and reactive current reference components are predicted, and the current reference components are optimized. And finally, inputting the current inner loop time domain model to generate a current transient response curve during the fault period. According to the method, high-precision modeling and prediction can be realized only by a small number of samples, and the method has good extrapolation and universality and can be adapted to various fault ride-through strategies.

The invention relates to the technical field of soft start control of resonant converters, in particular to a soft start control method of a CLLC resonant converter with a short-circuit protection function, which comprises the following steps: S1, establishing a time domain model of the CLLC resonant converter; s2, calculating an output frequency based on the actual output of the CLLC resonant converter through a PI controller; s3, building a gain-minimum frequency curve based on the time domain model of the CLLC resonant converter, and obtaining the minimum switching frequency based on the voltage gain of the CLLC resonant converter; s4, determining the switching frequency based on the output frequency and the minimum switching frequency; and S5, a driving signal is calculated based on the switching frequency through a PWM modulator, and the CLLC resonant converter is driven, so that the peak resonance current of the CLLC resonant converter does not exceed a set value. According to the invention, the peak resonance current of the CLLC resonant converter can be limited not to exceed the set value, and the peak current control is realized in the starting and operating processes, so that the peak of the resonance current can be accurately limited under all working conditions.

Methods, systems, and devices for wireless communications are described. A user equipment (UE) may report a time-domain model and parameters to indicate how one or more characteristics, such as a phase, of ports used to transmit reference signals can change across time. For example, the UE may determine one or more sets of transmission parameters associated with a reference signal type, where the one or more sets of transmission parameters can enable a receiving device to bundle reference signals of the reference signal type. The UE may transit an indication of these one or more sets of transmission parameters to the receiving device, where the indication can be associated with how a characteristic of the ports of the UE varies across time. Based on the indication of one or more sets of transmission parameters, the receiving device may receive reference signals and bundle (e.g., combine) the reference signals.