82 results about "Eulerian method" patented technology

The invention discloses a permanent magnet synchronous motor non-inductive vector control method based on SOGI-QNPLL. The method comprises the following steps: constructing a current state equation of a permanent magnet synchronous motor under a two-phase static coordinate system; constructing a new switching function, and designing and improving a full-order sliding mode observer according to the new switching function and the current state equation; the convergence of the improved full-order sliding mode observer is analyzed, and the value ranges of the gain m and the gain n of the improved full-order sliding mode observer are calculated; analyzing the improved full-order sliding-mode observer, and discretizing the improved full-order sliding-mode observer by adopting a forward Euler method; establishing a phase-locked loop (PLL), performing normalization design on the phase-locked loop, and establishing a normalized phase-locked loop (QNPLL); a second-order generalized integrator (SOGI) is established and discretized by adopting a bilinear transformation method, the discrete SOGI is combined with the QNPLL to form SOGI-QNPLL, and the SOGI-QNPLL is utilized to estimate the rotor position. According to the SOGI-QNPLL provided by the invention, the rotor position can be accurately extracted, the observation precision is remarkably improved, and the reliability and performance of the system are enhanced.

The invention provides a vehicle path tracking control method and device capable of adaptively adjusting discrete step length. The method comprises the following steps: establishing a state-space equation based on a kinetic model of a vehicle, performing Taylor expansion on a state quantity and ignoring a high-order term to obtain a linearized state quantity error; a discretized linear state quantity error is obtained based on a forward Euler method, and the discretization step length is adaptively adjusted along with the size of a front wheel steering angle; the increment of the steering angle of the front wheel is used as the control quantity of path tracking, and path tracking control of the vehicle is achieved. According to the method, the discretization step length is adaptively adjusted along with the size of the front wheel steering angle, the front wheel steering angle increment is adopted to replace the front wheel steering angle to serve as the control quantity of path tracking, and the path tracking precision can be obviously improved.

A soft tissue modeling method in a virtual operation based on biomechanical characteristics comprises the following steps: 1) setting a mass point spring system, and establishing a kinetic equation for each mass point; 2) moving least square method approximation of a displacement field; 3) simulation updating: calculating a new displacement field by using MLS approximation, and ensuring physical constraints; 4) solving a kinetic equation, and solving the equation by using an implicit Euler method to obtain system response changing along with time; and (5) iteration and adjustment are carried out, an implicit Euler method is used for solving the equation, and system response changing along with time is obtained. According to the method, the biomechanical characteristics of the soft tissue are effectively simulated by adding multiple functional springs, then the MLS method is integrated into the mass point spring model, the capacity of the model for processing complex deformation and large displacement events is enhanced, meanwhile, the overall numerical stability and accuracy are improved, and the method is suitable for large-scale popularization and application. And the established soft tissue model is more suitable for the requirements of a virtual operation system.

The invention relates to the technical field of consumption behavior analysis, in particular to a user consumption data analysis method and system based on big data, and the method comprises the following steps: collecting and sorting the consumption data of a user, including purchase time, price, preference and product availability, calculating a correlation coefficient of the purchase time and the price, and calculating the consumption data of the user; and analyzing the correlation degree of the preference data and the product availability to obtain a correlation evaluation result. According to the invention, the consumption model is constructed through the differential equation, and the consumption behaviors at different time points are simulated through the Euler method, so that the consumption trend change can be predicted in a complex market environment, the flexibility and adaptability of data analysis are improved, the formulating and adjusting capabilities of the market strategy are effectively enhanced, and the market experience is improved. The method plays an important role in mastering consumption peaks and low ebbs, helps enterprises to occupy advantages in fierce market competition, optimizes resource allocation, and improves customer satisfaction and loyalty.

The invention relates to the technical field of miniature photovoltaic inverters, in particular to a three-phase miniature photovoltaic inverter discretization small signal modeling method and system. Establishing a state-space equation according to the working modes of the three-phase micro photovoltaic inverter and determining the switching sequence of each mode; solving the state-space equation based on the working mode and the switching sequence to obtain a discrete iteration equation of the state quantity; separating the state quantity and the duty ratio into a steady-state component and a small-signal component, and converting the nonlinear large-signal discrete iteration equation into a linear small-signal discrete iteration equation; and establishing a z-domain transfer function according to the linear small signal discrete iteration equation, and converting the z-domain transfer function into an s-domain transfer function by using a forward Euler method to obtain a discrete small signal model. According to the method, the switching process among all modes of the three-phase miniature photovoltaic inverter is completely described through a discrete time mapping method, and the modeling precision is improved; and meanwhile, accurate conversion from the time domain to the frequency domain is realized, and a reliable basis is provided for stability analysis of a grid-connected system.

The invention discloses a modeling method of an SCR (Selective Catalytic Reduction) denitration system mechanism hybrid prediction model based on Transform. Feature extraction is carried out on the collected data, a reaction kinetic equation is constructed, an Euler method is adopted for solving, and unknown model parameters are reserved; a section of working condition stable data is selected from the collected data and imported into a mechanism model, optimal model parameters are found, the mechanism model of the SCR denitration reaction is obtained, and the A side outlet flue concentration and the B side outlet flue concentration are calculated through the model; a Transform model is trained to compensate the SCR system mechanism model, and the compensated SCR system mechanism model serves as real-time soft measurement values output by the A side and the B side; input variable selection is carried out on all-condition data, A-side and B-side outlet flue concentrations obtained by the mechanism model in real time and outputs at the first two moments are included into an input variable set, and time delay processing is carried out on input variables; and the mechanism models of the A-side flue and the B-side flue are connected in series with a Transform model, the Transform model needs to be imported into the output of the mechanism models in real time, and finally the SCR denitration system hybrid prediction model is obtained.

The invention discloses a preset performance convex online model prediction unmanned ship trajectory tracking control method, belongs to the technical field of trajectory tracking, is used for unmanned ship trajectory tracking control, and comprises the steps of unmanned ship modeling, discretization processing on a continuous time-varying nonlinear model by using a preceding Euler method, and prediction control by using a linear time-varying model. The processing involves a non-linear state-space equation; optimizing an objective function, converting predictive control into quadratic programming, establishing constraint conditions required by predictive control, and establishing a specified time discrete preset performance function through predefined time control so as to rewrite the constraint conditions; and resolving the objective function to obtain the latest position under the trajectory of the unmanned ship. According to the method, the continuous nonlinear model is discretized through the previous Euler method to reduce the calculation complexity, the specified time discrete preset performance function is constructed through the predefined time control method, and the precision requirement of trajectory tracking is met under the specified time preset performance of the tracking error.

The invention discloses a quadrotor unmanned aerial vehicle attitude estimation method and device based on an improved UKF and a medium, and the method comprises the steps: constructing a kinetic model of a quadrotor unmanned aerial vehicle, deducing an attitude angle kinetic equation through a Newton-Euler method, and superposing a wind shear model and a turbulent wind field model; the method comprises the following steps: collecting multi-source sensor data, and performing hierarchical filtering processing on the multi-source sensor data through a multi-source data fusion and dynamic noise suppression technology; and performing attitude estimation on the quad-rotor unmanned aerial vehicle by adopting a UKF (Unscented Kalman Filter) algorithm of an improved adaptive factor based on the deduced and superposed kinetic model and the processed multi-source sensor data. Through the above method, the method is closer to a real flight environment, the influence of environment sudden change on data quality is inhibited, and high-precision and high-stability attitude estimation is realized.

The invention discloses a model-free predictive control harmonic and torque ripple suppression method for a permanent magnet synchronous motor. The method comprises the following steps: sampling physical information of the permanent magnet synchronous motor; performing Clarke transformation on the obtained three-phase current, and performing Park transformation by applying the sampled rotor position to obtain actual current under the dq axis; according to the obtained dq-axis actual current and the motor winding voltage, updating an ESO-based hyper-local model after forward Euler method discrete transformation; calculating a control voltage by applying a traditional dead-beat current control method through a disturbance update value obtained through calculation; and carrying out inverse Park conversion on the deadbeat control voltage obtained after calculation, then carrying out traditional SVPWM modulation to obtain a three-phase PWM waveform, and inputting the three-phase PWM waveform into a driver to control the permanent magnet synchronous motor. According to the method, current ripples and torque ripples of model-free predictive control of the permanent magnet synchronous motor can be remarkably reduced, high-frequency harmonics in the operation process of the motor can be remarkably reduced, and the calculation burden is reduced.

The invention discloses an alternating current optimal transmission switching relaxation problem solving method based on a two-stage dynamic trajectory and pseudo-transient continuity. The method comprises the following steps: constructing an alternating current optimal transmission switching relaxation model; constructing an augmented quotient gradient system corresponding to the alternating current optimal transmission switching relaxation model; randomly selecting an initial point x0, and performing integral augmentation on the quotient gradient system from x0; carrying out integral iterative calculation on the augmented quotient gradient system by adopting a pseudo-transient continuous iterative formula based on an Euclidean Euler method; when the target function descent rate of the trajectory of the augmented quotient gradient system is smaller than 0.001% / step, integration is stopped, and the termination point at the moment is recorded as x *; x * is used as an input point, an IPOPT solver is adopted to solve the alternating current optimal transmission switching model, and an optimal solution is obtained through solving. According to the method, a dynamic method and a static method are combined, respective advantages of the two methods are taken, a pseudo-transient continuous iteration formula is provided in the integration process of the augmented quotient gradient system, and the optimal transmission switching relaxation problem which is difficult to solve by the power system can be quickly solved on the basis of ensuring the solution robustness.

The invention relates to a method for simulating a water drop shielding area and a water drop concentration enhancement area based on a Lagrange method. The method comprises the following steps of: carrying out geometric modeling and grid division on a simulated aircraft part; solving an air flow field according to working conditions; establishing a water drop stress motion equation under a Lagrange framework; water drops are released from a far field at fixed intervals in the direction perpendicular to the incoming flow speed of the airflow; solving the stress motion equation of each water drop on the air flow field, and recording the water drop collection quantity of the space grid; solving motion tracks of all released water drops, traversing all space grids, and calculating a space water drop collection coefficient of each space grid; and distinguishing a water drop shielding area and a water drop concentration enhancing area according to the spatial water drop collection coefficient. The Lagrangian method can accurately track the water drop movement process, the problem that the Euler method cannot accurately simulate the convergence or intersection phenomenon after water drop deflection is solved, and meanwhile, the water drop characteristic space field distribution rule is obtained from the water drop movement track through the definition solution of the space water collection coefficient.

According to the real-time path planning method for the arm end mechanism of the humanoid robot, all joints of the mechanical arm of the humanoid robot can be controlled to rotate through path planning, and therefore the purpose that the end executing mechanism of the humanoid robot reaches the designated position is accurately achieved. According to the algorithm, a target point which a robot end execution mechanism needs to reach, an iteration stopping distance and a stopping number in iteration are determined according to engineering requirements, the L2 norm of a target position posture and a current position posture error is minimized through a Newton-Euler method, and the optimal position at the next moment and the corresponding iteration joint angle are solved. And through repeated iterative calculation, the tail-section executing mechanism of the mechanical arm can reach the target point accurately finally. The target passes mathematical simulation verification, and finally, when the tail end of the mechanical arm reaches the target point through planning, the position error reaches the order of magnitude of 1e-10m, and the high-precision planning effect is displayed. The algorithm planning precision is high, and the method has a good application prospect.

The object of the present invention is to provide a method for predicting the discrete particle trajectories of a pipeline centrifugal separator based on a surrogate model, which comprises the following steps: planning the experimental matrix of the structural parameters and flow field distribution of the pipeline centrifugal separator; obtaining the corresponding matrix between each structural parameter and flow field characteristic parameter according to the simulation experimental data; conducting a sensitivity analysis of the input variables, selecting a modeling technique, and constructing a surrogate model for the key input parameters and response values; comparing the results of the surrogate model with the experimental data; constructing a force model for discrete particles in the swirling flow field; establishing a transient motion trajectory equation for discrete particles by using the Euler method, and coupling and solving the flow field calculation model and the particle force model to obtain a discrete particle motion prediction model. The present invention can predict the motion trajectories of discrete particles in the separator under conditions of different physical property parameters, different structural parameters, and different flow parameters, so as to provide guidance for the structural design and application of the pipeline centrifugal separator.

The invention discloses a series industrial robot external force estimation method, and the method comprises the following steps: S1, constructing a series industrial robot kinetic equation model incorporating a kinetic residual error through a Newton-Euler method; s2, fitting the dynamic residual error and noise of the robot by using a variational approximate Gaussian process; s3, constructing an external force estimation discrete state equation; s4, constructing an adaptive Kalman filter; and S5, solving the external force through Kalman iteration. The external force applied to the robot can be estimated, the external force and collision applied to the robot can be detected under the condition that the robot is not provided with a six-dimensional force or torque sensor, the detection precision and response speed of external force estimation are improved, and the method can be used for industrial scenes such as robot assembly and polishing.

The invention discloses a battery network state calculation method and device, equipment, a medium and a product, and relates to the technical field of battery network state calculation. The method comprises the following steps: firstly, constructing a dynamic reconfigurable network of a battery system based on a topological structure of the battery system; dividing the dynamic reconfigurable network into a plurality of sub-networks; then respectively constructing a state space equation of each sub-network; and then solving the state-space equation of each sub-network based on an improved Euler method to obtain the state quantity of each sub-network at different time steps. According to the method, the dynamic reconfigurable network is divided into a plurality of mutually independent sub-networks, the overall state calculation of the battery network is converted into the state calculation of the plurality of sub-networks, the calculation amount and the calculation complexity are effectively reduced, the Euler calculation of two stages is used for evaluation, and the accuracy of a numerical solution is improved.

The invention discloses a dynamical model error compensation method based on an SSA-LSTM neural network model, and relates to the technical field of robots, and the method comprises the steps: building a pre-uncompensated dynamical model of a robot through employing a Newton-Euler method or a Lagrange method according to a robot structure, and obtaining a predicted output torque under a minimum inertia parameter set; and calculating an uncompensated predicted torque for the original displacement, speed and acceleration data by using the uncompensated kinetic model. According to the method, through physical prior and sequence residual learning, the output of the physical dynamics model is used as a part of network input, data requirements are reduced, maintenance of interpretable physical components is improved, meanwhile, the problem of compensation of non-analytic items is solved, convergence is accelerated, generalization and physical consistency are improved, and the method is suitable for large-scale popularization and application. Under the condition of limited test data, lower residual errors and more stable online compensation performance can still be obtained, and control robustness is enhanced.

The invention belongs to the technical field of aramid honeycomb paper mechanical equipment, and discloses a turbulent flow control-based centrifugal barrel key geometric structure design method, which comprises the following steps of: simulating interaction between gas-liquid two-phase fluids simultaneously existing in an equipment centrifugal barrel through an Euler method; capturing a gas-liquid free interface in the upper space of the centrifugal barrel of the equipment by using a fluid volumetric method; fluid in the centrifugal barrel of the equipment is driven by the rotor to form a flow field; unsteady tracking particle simulation fibrid and unsteady tracking particle parameters are established, and visual distribution of particles in the centrifugal barrel is obtained; and S4, according to the calculation result of the step S5, taking the average strain rate of the whole field, the average strain rate in the rotation domain, the maximum vorticity and whether flocculation exists or not as evaluation indexes, and carrying out optimization design on the geometric structure of the centrifugal barrel established in the step S1. According to the invention, design and manufacturing by virtue of experience are avoided, a large amount of design time and resources are saved, and fine simulation of effective mixing volume and flow field structure in the centrifugal barrel is realized.

The present invention discloses a method for predicting the trajectory tracking control of an unmanned ship using a preset performance convex online model, which belongs to the field of trajectory tracking technology and is used for unmanned ship trajectory tracking control, including modeling an unmanned ship, discretizing a continuous time-varying nonlinear model using the preceding Euler method, using a linear time-varying model predictive control method to process nonlinear state space equations; optimizing the objective function, converting the predictive control into quadratic programming, establishing the constraints required for the predictive control, establishing a preset performance function discrete at a specified time through predefined time control, thereby rewriting the constraints; solving the objective function, and obtaining the latest position under the trajectory of the unmanned ship. The present invention discretizes the continuous nonlinear model through the preceding Euler method to reduce the complexity of the calculation, and uses the predefined time control method to construct a preset performance function discrete at a specified time, so as to meet the accuracy requirements of trajectory tracking under the preset performance of the specified time of the tracking error.

The invention provides an anisotropic large-scale structure attitude adjustment trajectory planning method which specifically comprises the following steps: firstly, carrying out dynamic modeling on an attitude adjustment mechanism by adopting a Newton-Euler method so as to calculate driving force of each shaft of a positioner during attitude adjustment of a large-scale structure; dividing the attitude adjustment track into an acceleration section, a constant speed section and a deceleration section, fitting the attitude adjustment track by using a quartic polynomial, and calculating track parameters of the large structure in different directions; and finally, constructing a positioner driving force and speed constraint model, and performing attitude adjustment duration search by adopting a dichotomy, thereby improving the efficiency of attitude adjustment of the large-scale structure. According to the method, different time parameters (the proportion of a constant-speed section) are adopted for planning the motion trails of the large-scale structure in different directions, the performance of a servo control system can be brought into full play, and therefore the attitude adjustment efficiency of the large-scale structure is improved.

The invention belongs to the technical field of automatic driving automobile speed tracking, and particularly relates to an automatic driving automobile speed tracking cooperative control method based on hierarchical MPC and fuzzy PID, comprising the following steps: S1, constructing a longitudinal dynamic model of an automatic driving automobile; s2, designing a fuzzy rule; s3, obtaining a discrete system state equation by using a forward Euler method; s4, determining that the output of the system at the future moment is expressed in a matrix form; s5, converting an MPC problem and a quadratic programming problem; s6, the execution control layer converts the expected acceleration into throttle valve and brake master cylinder pressure control quantity through fuzzy self-adaptive PID; and S7, switching logic is adopted to judge driving / braking control, and speed tracking control is carried out. According to the method, buffeting can be effectively suppressed on the premise of ensuring that the system can reach a stable state, high robustness to external disturbance is achieved, and speed tracking of the self-driving automobile is ensured.

The application relates to a collaborative robot dynamic error modeling and compensation method, which comprises the following steps: step one: a kinematics model of the collaborative robot is established by using an M-DH method; step two: a dynamics model of the collaborative robot is established based on a Newton-Euler method by considering the influence of robot self-weight, inertial force and load on joint torque, so that joint driving torque during robot operation is obtained; step three: a collaborative robot end dynamic error model is established according to the relationship between dynamic force and joint torsional stiffness, and the influence of supplementary stiffness on the end dynamic error is considered; and step four: the end dynamic error is converted to the joint space, and dynamic error compensation is carried out on the collaborative robot. The application establishes a collaborative robot dynamics model considering factors such as gravity, inertial force and end load, and further establishes an end dynamic error model considering supplementary stiffness, so that the end dynamic error compensation problem under the action of dynamic force is solved.

The present invention relates to the technical field of consumer behavior analysis, specifically a user consumption data analysis method and system based on big data, comprising the following steps: collecting and collating user consumption data, including purchase time, price, preference and product availability, calculating the correlation coefficient between purchase time and price, analyzing the correlation degree between preference data and product availability, and obtaining a correlation evaluation result. In the present invention, a consumption model is constructed by differential equations, and consumer behaviors at different time points are simulated by the Euler method, so that changes in consumption trends can be foreseen in a complex market environment, the flexibility and adaptability of data analysis are improved, and the ability to formulate and adjust market strategies is effectively enhanced, which plays an important role in grasping consumption peaks and troughs, helping enterprises to gain advantages in fierce market competition, optimize resource allocation, and improve customer satisfaction and loyalty.

The invention relates to the technical field of aero-engine transition state characteristics and control process temperature calculation, in particular to a cooling-considered aero-engine transition state turbine rotor and stator temperature calculation method. An independent differential equation is established by introducing a hot side fuel gas and cold side cooling air double-heat-source model, and the method is suitable for an aero-engine scene with a complex cooling structure; a lumped parameter method is adopted to reasonably simplify a three-dimensional heat conduction equation, on the premise that the engineering precision of a component with the small Bi number is guaranteed, temperature distribution is simplified into a uniform field, the calculation dimension is remarkably reduced, in combination with an explicit Euler method numerical integration method, rapid discrete solving of a differential equation is achieved, the real-time requirement of an airborne model for transition state calculation is met, and the calculation efficiency is improved. And the time step length is adaptively adjusted to guarantee the numerical stability. By outputting the rotor / stator temperature of the turbine in real time, the dynamic heat exchange effect of the metal component and the airflow in the transition state can be accurately evaluated, and engine control law design and stability optimization are supported.

The invention discloses a multi-vector model prediction control method based on incremental global optimization, and the method achieves the control of a permanent magnet synchronous motor through the following steps: carrying out the discretization of a current state equation through employing an Euler method, and obtaining a current prediction model; a virtual vector with a harmonic plane component being zero is adopted as a vector control set, and a value function is set as the difference sum of squares of the predicted current and the reference current; subtracting the prediction current equations of two adjacent periods to obtain an incremental current prediction equation, and enabling the prediction current to be equal to the reference current to obtain an incremental voltage prediction model without a flux linkage item; selecting a synthetic reference vector according to the vector set; carrying out duty ratio distribution on the selected voltage vector scheme; and updating the value function and obtaining a global optimization vector scheme after duty ratio distribution. The method improves the robustness of the system, reduces the calculation amount, improves the prediction precision of the system, can be popularized to the motor control of an N * 3 phase structure, and is wide in application range.

The application discloses a general reconfigurable simulation system of a power electronic converter, comprising: a dynamic element module, which is used for solving a dynamic element state equation according to a forward Euler method to obtain a dynamic element state variable, and sending the dynamic element state variable to a switch module according to a preset selection instruction; the switch module is used for constructing a general matrix model for a bridge arm switch of the converter, processing the dynamic element state variable through the general matrix model, and generating a switch voltage and a switch state instruction; a neutral point voltage solving module, which is used for constructing a neutral point voltage model for a three-phase rectification or inversion circuit according to the switch voltage and the switch state instruction, and solving to obtain a neutral point voltage; and a power supply module, which is used for providing different power supply voltages for the neutral point voltage solving module, wherein the power supply voltages include three-phase alternating voltages and a direct current voltage. The technical problems that the simulation adjustment flexibility is poor in different scenes, the modeling is complicated due to the increase of system element complexity, and the simulation compilation is time-consuming in the prior art are solved.

The present invention discloses a parallel simulation method for an electrified power system based on the improved Euler method. A large-scale electrified power system contains a large number of power electronic switching devices. Such a high-order nonlinear system greatly increases the computational amount within a single simulation step. Therefore, it is necessary to decouple the entire system to achieve parallel simulation. The present invention establishes a state-space equation describing the coupling relationship of subsystems for the topological structure of passive components at the connection of converters to the grid, discretizes the AC inductor current and DC capacitor voltage of the converter based on the improved Euler method, and constructs an adjoint equivalent circuit of the discrete equation. The present invention can eliminate the delay between the equivalent circuit and the global solution of the system and achieve high-precision delay-free parallel simulation.

This invention provides a simulation method for test equivalent signals based on the Euler discrete model. It primarily solves the problem of equivalent generation of gyroscope angle signals in test equivalent converters, enabling high-precision reproduction of the complex dynamic angle changes of an aircraft during flight. This overcomes the difficulty of accurately simulating gyroscope angle signals during ground testing. First, using predetermined aircraft pitch channel altitude trajectory data, a fast differentiator is used to solve for the differential data of the altitude and horizontal trajectories, thereby solving for the aircraft pitch angle and pitch velocity data. Then, the Euler method is used to establish a discrete measurement model of the gyroscope, solving for the measured value of the pitch velocity. Considering the influence of error drift, integration is performed to obtain the gyroscope's measurement signal of the pitch angle. This outputs a high-precision result of the gyroscope angle changes during high-altitude flight. This method has the advantages of high simulation accuracy and good agreement with reality.

The invention discloses an unmanned tracked vehicle trajectory tracking method based on H infinity model prediction hybrid control, which comprises the following steps: firstly, establishing a tracked vehicle dynamics model, and discretizing through a forward Euler method; an H infinity and MPC double-controller parallel computing architecture is adopted, and an MPC controller combines a reference trajectory and a prediction state to generate an optimal control quantity of an adaptive constraint through rolling optimization to minimize a tracking error and a control cost; multi-source interference is introduced into the H infinite controller, and disturbance compensation control quantity is generated through interference modeling, linear processing and Riccati equation solving; and the optimal control quantity and the disturbance compensation control quantity are fused, a crawler executing mechanism is driven, a new state is fed back, and closed-loop feedback control is achieved. The method not only has the dynamic optimization capability of the MPC controller, but also has the strong anti-interference capability of the H infinite controller, realizes synchronous consideration of optimization and robustness, and ensures that the system always keeps trajectory tracking precision and stability under complex working conditions through closed-loop feedback control.

The application discloses a kind of gas-solid two-phase flow self-adapting simulation prediction method, system, medium and product, belong to the field of digital simulation of fluid dynamics, the method is: obtaining industrial equipment geometry, particle and fluid data, constructs gas-solid two-phase flow CMPPIC model;Wherein, continuous phase is with Euler method, discrete phase is with Lagrange particle bag representation;Perform time advance iteration to termination condition, output result, wherein each round of iteration includes mapping particle bag data to Euler cell, obtaining particle statistical information and marking fixed state particle according to rules;Freeze fixed cell particle volume fraction, calculate porous medium parameter, reconstruct its continuous phase momentum conservation equation;Based on reconstruction and unreconstructed equation, update flow field, while updating the particle motion of unmarked fixed state cell. By implementing the application, the problem that calculation efficiency and physical precision are difficult to consider in simulating fixed particle structure in the prior art can be solved.

The invention discloses a fluid-solid coupling calculation method for predicting the vortex-induced motion response of an underwater single anchor system, and the method comprises the steps: dividing a flow field calculation domain based on a multi-region overlapping grid technology, and achieving the data transmission through boundary point interpolation; establishing an anchor chain discrete dynamical model by adopting a concentrated mass method, and iteratively solving an anchor chain form and tension distribution; a six-degree-of-freedom rigid body dynamic model of the mooring body is established by applying a Newton-Euler method, and constraint conditions such as hydrodynamic force and anchor chain tension are integrated; a flow field is solved through a computational fluid dynamics method, and bidirectional data exchange of fluid load, anchor chain tension and structural motion is realized by using a custom function. The method has the advantages that the problem of large-displacement motion simulation of the mooring system is effectively solved through a multi-region overlapping grid and a cross-platform collaborative architecture, the six-degree-of-freedom vortex-induced motion response of the mooring body can be predicted in a high-precision mode, and whole-process visualization of dynamic changes of a flow field is achieved.