60 results about "Time domain model" patented technology

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 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 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 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.

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 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 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 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.

The invention relates to the technical field of aircraft flight control, in particular to a high-altitude cleaning unmanned aerial vehicle operation trajectory tracking control method, which constructs a cooperative control system of a self-adaptive prediction time domain model prediction control framework and an event triggering execution mechanism. A controller can select an optimal prediction time domain parameter according to the speed information of the unmanned aerial vehicle, the calculation complexity is effectively reduced while the trajectory tracking precision is ensured, an event triggering mechanism is introduced to intelligently regulate and control the rolling optimization process of MPC, and by setting the dual triggering conditions of a speed threshold and a trajectory tracking error threshold, the trajectory tracking precision is improved. And rolling optimization solution is only executed at the key control node, so that the real-time performance of the system is remarkably improved, and an innovative control architecture is provided for technical breakthrough of the unmanned aerial vehicle in the field of special operation.

The application discloses a hybrid system network converter long-time domain prediction control and non-disturbance switching method, and belongs to the technical field of power system control. In view of the problems of poor dynamic performance of a hybrid system of a network construction / following network converter under high proportion of new energy grid connection and easy impact of mode switching, the method is as follows: a long-time domain model is constructed to predict current control, a traditional PI current inner ring is replaced, a dq coordinate system is discretized to model, double-step length prediction is compensated to delay, a Lagrange extrapolation is used to update a reference current, current tracking accuracy and harmonic suppression capability are improved; a non-disturbance switching strategy is designed, an alpha-beta coordinate system and a current control ring are unified, a switching angle is locked and an initial value of an integrator is synchronized, a reference voltage is dynamically adjusted to guarantee variable continuity; the two strategies are integrated into a hybrid framework, stable operation and smooth switching under strong / weak power grid and transition working conditions are realized. The application reduces grid-connected current total harmonic distortion rate to below 0.85%, has no voltage and current impact in switching, and has the advantages of enhancing power system stability and flexibility.

The application discloses a CLLC resonant converter soft-start method, device, equipment and medium. The method comprises the following steps: a time domain model of a converter under PWM control is established, and a nonlinear mapping relationship between a voltage gain and a duty cycle is obtained by solving; the gain is set to increase linearly with time, and a nonlinear curve of the duty cycle changing with time is back calculated; finally, two-stage control is executed: in the first stage, the duty cycle is increased to a set maximum value according to the nonlinear curve every cycle under fixed high frequency, so that the output voltage linearly rises; in the second stage, the duty cycle remains unchanged, and the switching frequency is gradually reduced to the resonant frequency. The application can completely eliminate the current peak at the starting moment, shorten the forward starting time to one-tenth of the traditional time, realize smooth establishment of the output voltage without overshoot, and effectively reduce the high-frequency requirement of the device and the system cost.

The present application relates to electric bus charging joint scheduling technical field, provide electric bus fixed and dynamic wireless charging joint scheduling method and system. Electric bus fixed and dynamic wireless charging joint scheduling method includes that fixed and dynamic wireless charging coordination problem is modeled as limited time domain constraint Markov decision process, and then the power of fixed and dynamic wireless charging is determined as charging scheduling strategy based on system state, and the optimization objective function is constructed as minimizing cumulative expected energy cost within the set operation period; the optimization objective function is solved by using the rolling time domain model predictive control method, and the terminal SOC shortage cost is decomposed into the expansion and contraction of the stage cost by using the convex potential function, while keeping the optimal charging scheduling strategy, the end of the day requirement is internalized in the rolling time domain of the rolling time domain model predictive control method.

The invention provides a 3D curved surface flexible photovoltaic dynamic topology reconstruction method and a 3D curved surface flexible photovoltaic dynamic topology reconstruction system based on zonal sector grouping and layered optimization, which are characterized in that elliptical Gaussian is used as a prior, and a Markov radius is used for depicting'zonal / sector 'structured grouping of an equal-irradiation isoline: a zonal band is formed along equal-irradiation rays, sectors are subdivided in the zonal band according to azimuth angles when necessary, and the zonal band and the sectors are subdivided according to the azimuth angles when necessary; the in-string irradiation tends to be the same, and the parallel mismatch is reduced; a minute-level template layer adopts rolling time domain model predictive control, and the comprehensive power is maximized, the mismatch is minimized and the switching cost is minimized when the bus voltage is stabilized to be a hard constraint; the second-level local layer executes improved simulated annealing of two-element exchange in a limited neighborhood with'in-band priority and few adjacent band crossing ', and power, mismatch, voltage penalty terms and switching cost are integrated by a unified cost function. The method supports battery-level or component-level topological optimization, can be expanded to multiple light spots and complex shielding, remarkably improves the daily generating capacity, and reduces the bus voltage violation rate.

The invention belongs to the technical field of underwater robot motion control, and particularly relates to an underwater mechanical arm-movable base system control method based on an infinite time domain MPC, a program, equipment and a storage medium. The method comprises the following steps: establishing a motion model of an underwater mechanical arm-movable base system; based on a motion model of an underwater mechanical arm-movable base system, considering the influence of hydrodynamic force, constructing an underwater dynamic model, meanwhile, quantitatively analyzing a coupling effect generated by structural connection and interaction between the mechanical arm and the movable base, and identifying coupling parameters; based on an underwater dynamic model, a system state space equation is constructed, a system state in a future time domain is predicted by adopting an infinite time domain model prediction control method, a control strategy is updated in real time, and a closed-loop control system is formed by combining state feedback optimization control input. The problem that the control precision is insufficient due to motion coupling of an underwater mechanical arm-movable base system in a complex underwater environment is solved, and meanwhile the trajectory tracking capacity in the dynamic environment is improved.

The invention discloses a method for realizing full-bridge-half-bridge seamless switching of an LLC resonant converter based on hybrid modulation, and aims to solve the problems of resonant cavity energy abrupt change, output voltage fluctuation and resonant current impact caused by the difference of equivalent input voltage gain ratios of full-bridge (FB for short) and half-bridge (Half-bridge (HB for short) modes during topological switching of the LLC resonant converter. And meanwhile, the problems that the switching working frequency matching precision is low and the system is difficult to quickly enter a steady state due to lack of an FB and HB unified time domain model are solved, so that stable and efficient operation of the LLC resonant converter in a wide voltage gain range is realized. Meanwhile, according to the control method, the gain-frequency relation is solved in real time by constructing a time domain model with unified FB and HB modes, and continuous energy transition of the resonant cavity is guided in combination with hybrid modulation seamless switching control, so that the voltage gain adjustment range can be widened without introducing extra hardware, and the parameter adaptability and operation robustness of the control system are improved.

The invention relates to a vehicle-rail-bridge coupled vibration time-frequency hybrid analysis method, device and equipment, a storage medium and a program product, and relates to the technical field of vibration simulation analysis. The numerical calculation efficiency can be improved. The method comprises the following steps: performing analog simulation by utilizing a virtual excitation method based on a track model to construct a vehicle-track coupling frequency domain model, and inputting a track irregularity frequency spectrum into the vehicle-track coupling frequency domain model for solving to obtain a beam-track interfacial force frequency spectrum; inverse fast Fourier transform is carried out according to the beam-rail interfacial force frequency spectrum to obtain a beam-rail interfacial force time history, and whether the wheel-rail force difference value meets a threshold value condition or not is judged; if the wheel-rail force difference value meets the threshold value condition, analog simulation is conducted through a modal superposition method to construct a bridge time domain model, the vehicle-rail coupling frequency domain model and the bridge time domain model are coupled according to the beam-rail interface force and displacement of the current wheel, and a vehicle-rail-bridge coupling frequency domain model is obtained; and vibration time-frequency hybrid analysis is carried out through the vehicle track bridge coupling frequency domain model.

The application discloses a nuclear power plant load tracking method and system based on a hybrid time domain model predictive control, and belongs to the technical field of nuclear power plant operation optimization. The method is used for unified representation of complex multi-time scale dynamics under the multi-physical field coupling of a nuclear power plant, by constructing a hybrid time domain prediction model based on limited time domain accurate prediction and unlimited time domain equivalent approximation. On the premise of strictly guaranteeing the operation safety and operation constraints of the nuclear power plant, the method aims at minimizing the load tracking error in the full time domain range, so as to realize the fast and smooth tracking of the grid load instruction. The hybrid time domain model predictive control designed in the application can accurately predict the fast and slow dynamic responses of the nuclear power plant at the same time, and implements closed-loop optimal control through online rolling optimization. The hybrid time domain model predictive control not only is beneficial to guaranteeing the safety and stability of the load tracking operation of the nuclear power plant, but also effectively improves the operation flexibility of the nuclear power plant participating in the grid peak shaving.

The invention provides an energy storage power station grid-connected system frequency disturbance analysis method considering the influence of a phase-locked loop. The method comprises the following steps: S1, obtaining an operation state and a control parameter of a target energy storage power station grid-connected system before a power grid is disturbed; s2, constructing a power deviation model based on phase-locked loop influence; s3, constructing an energy storage power station grid-connected frequency response model based on the power deviation model; s4, performing Laplace transformation on the grid-connected frequency response model of the energy storage power station, and establishing a grid-connected frequency deviation time domain model of the energy storage power station; s5, constructing a maximum frequency difference model under power grid disturbance, and taking a corresponding maximum frequency difference as a result when the change rate of the grid-connected frequency deviation time domain model of the energy storage power station is 0; power control errors caused by phase-locked transient response can be fully quantified, and the accuracy of frequency evaluation or prediction is improved; and the whole process is rapid and easy to implement, and has relatively high expandability.

A method for evaluating one or more properties of a wellbore. The method may include generating a tube wave in a wellbore, measuring a pressure created by the tube wave at a wellhead and creating a time-domain model based at least in part on the pressure. The method may further include identifying a Darcy factor and a stage resistance based at least in part on the time-domain model.

The invention discloses a frequency domain Prony sine parameter estimation method and system based on an improved autoregression model, and a storage medium. The method comprises the following steps: firstly, based on a time domain model and a k-order autoregression model of a to-be-estimated FMCW radar signal, solving an autoregression coefficient equation containing a to-be-estimated sine parameter; the Kth sampling point of the signal time domain is used as a starting point to construct an autoregression matrix equation, non-causal items in the equation are eliminated, an optimized autoregression matrix equation is obtained, and K is determined according to the order k of an autoregression model; converting the optimized autoregression matrix equation into a frequency domain to obtain a simplified frequency domain autoregression equation set; solving the frequency domain autoregression equation set based on a least square method to obtain autoregression parameters; and finally, target parameters are solved through the correlation coefficients. According to the method, the calculation process is simplified, the operation time is shortened, the parameter estimation precision is better, the error is smaller under the low signal-to-noise ratio, the hardware system implementation capability and the data real-time resolving capability are achieved, and the method is highly applied to a sine parameter estimation scene.

The invention discloses an atractydin dispersion solubilizing method based on a deep neural network and strategy optimization, and aims to solve the problems that key quality attributes in online monitoring and closed-loop control in the preparation process are difficult to stably reach the standard, and batch difference and equipment safety are difficult to consider at the same time. According to the invention, uncertainty prediction is carried out by combining a multi-mode cross-attention depth model with energy sensing position coding and sensor reliability weighting and controlling affine and a Shenchang differential equation with physical constraints, and self-adaptive parameter adjustment of a rolling optimization driving actuator is predicted and controlled by a double-time-domain model of a probabilistic security constraint and control barrier function. The technical effects of online accurate prediction and stable standard reaching of key quality attributes (including the median diameter of the particle size, the polydispersity index, the electrokinetic potential and the dissolution curve), smooth action, energy consumption reduction and process and equipment safety control are achieved.