24 results about "State model" patented technology

This application provides a method and apparatus for simulating the performance degradation of a high-power power supply. The method includes: obtaining a spatial state equation for the output voltage of the high-power power supply system based on an equivalent circuit model of the high-power power supply; acquiring performance degradation models of multiple components with degradation characteristics in the high-power power supply system, and importing the performance degradation models of the multiple components with degradation characteristics into the spatial state equation to obtain a spatial state model; using the spatial state model to obtain performance degradation array data of the high-power power supply corresponding to each number of runs; and concatenating the performance degradation array data of the high-power power supply corresponding to each number of runs to obtain performance degradation time sequence data of the high-power power supply.

This application provides a target localization method, apparatus, electronic device, and storage medium. The method obtains the initial position of the target object by allocating distance through optimal sub-patterns; it pre-constructs a motion state model of the target object, predicts the state vector of the target object at the next moment based on the state transition equation of the motion state model, and determines the prior position of the target; it filters the current real observation set based on the prior position of the target to obtain a first observation set; it searches and locates the target based on the first observation set, using the previous position of the target object as the center, and determines the real-time target position; it narrows the search range to improve the real-time performance of localization; it fuses the real-time target position with the prior position of the target to obtain a corrected target position, and uses the corrected target position as the target localization result. By fusing the prediction and observation, the respective errors are offset, solving the problem of excessive localization error and improving localization accuracy and reliability.

The invention relates to the technical field of intelligent control, in particular to a cut-tobacco dryer steady-state model predictive control method based on Kalman filtering time delay correction, which comprises the following steps of: utilizing second-level historical production data and a system identification technology to process a cut-tobacco drying steady-state production process; according to the method, a dynamic transfer function prediction model and a state-space equation model from the moisture removal air door opening degree and the cylinder wall temperature to the outlet moisture are established, an appropriate Kalman filter (KF) is selected to carry out online correction on a cut-tobacco dryer prediction model with time delay, and the control of the process parameters in the cut-tobacco drying steady-state production stage is realized by using a model predictive controller (MPC) algorithm. Therefore, ideal outlet material moisture is achieved, and the problems that in the cut-tobacco drying process of an existing cut-tobacco dryer, dynamic characteristics of a system are ignored in a control method applied to the cut-tobacco drying process of the cut-tobacco dryer, and the control effect of the cut-tobacco drying process of the cut-tobacco dryer is poor due to the fact that the system with large inertia for controlling the cut-tobacco drying process of the cut-tobacco dryer is poor in prediction effect are solved.

A complex sea condition sea target positioning and tracking method constrained by dependent variables belongs to the technical field of intelligent maritime affair monitoring and ship navigation, and comprises the following steps: S1, constructing a sea target positioning and tracking state model including a state equation based on uniform linear motion and two observation equations adapted to AIS / GNSS and radar; s2, establishing a limited dependent variable observation model, and quantitatively observing nonlinear correlation between loss / truncation and the real state of the target; s3, performing prior prediction of the current target state and the covariance based on the historical state; s4, fusing the prediction state and actual observation (including censored data) to complete state and error covariance updating; and S5, introducing a Bernoulli random variable to calculate an observation state adaptive weight. Through combination of the limited dependent variable model and the filtering method, the problems of trajectory breakage and target missing detection of a traditional tracking method caused by incomplete observation data under complex sea conditions are solved, and the method is directly integrated to a shipborne radar monitoring system and a maritime affair supervision platform.

The embodiment of the invention discloses a GNSS receiver clock modeling method based on power-law noise, and relates to the technical field of satellite navigation positioning, and the method comprises the steps: obtaining phase difference data between a local clock and a reference clock, and obtaining a diffusion coefficient of clock noise through extraction based on the phase difference data; establishing a clock state space equation containing a clock offset parameter and a frequency offset parameter, and calculating a process noise covariance matrix of the clock state space equation based on the diffusion coefficient; and embedding the two-dimensional clock random state model and the process noise covariance matrix into a process noise embedding filtering estimation algorithm, and calculating to obtain a clock offset parameter, a frequency offset parameter and a three-dimensional coordinate parameter of the receiver. According to the method, estimation noise of receiver frequency deviation can be remarkably suppressed, and the short-term stability of the elevation direction in GNSS dynamic positioning is effectively improved. The method and the device are suitable for the GNSS terminal adopting a low-cost clock so as to realize high-precision time synchronization and positioning.

The application provides a multi-parameter joint calibration method based on graph optimization of inertial and ultra-short baseline, applies the graph optimization technology to the multi-parameter joint calibration of inertial / ultra-short baseline, and the whole process comprises the following steps: establishing a multi-error parameter state model, constructing a multi-error parameter calibration factor, calculating based on a nonlinear optimization problem of an incremental interval balance, and finally obtaining accurate multi-error parameters. Compared with the prior art, the application can simultaneously estimate the responder position error, the rod arm error and the installation angle error, sufficiently utilizes historical observation data, solves the nonlinear problem of the optimization equation through repeated iteration and relinearization, and has the advantages of high calibration precision and fast calibration speed.

This invention discloses an ADRC method for attenuating periodic disturbances in time-delay systems, belonging to the field of automatic control technology. The method includes: 1. Obtaining the controlled process model and disturbance frequency, and establishing an extended state model containing the periodic disturbance; 2. Constructing a reduced-order extended state observer and tuning the gain using the bandwidth parameter method; 3. Introducing a pure time-delay module into the observer's output channel to construct an ADRC structure; 4. Revealing the mechanism by which periodic disturbances in time-delay systems cannot be attenuated through two-degree-of-freedom equivalent transformation analysis; 5. Based on the frequency domain characteristic equation, analytically determining the delay of the time-delay module to achieve effective attenuation of periodic disturbances at specific frequencies. This invention solves the problem of attenuating periodic disturbances in time-delay systems without significantly increasing structural complexity. Compared to traditional schemes that require high-gain or complex prediction structures, this invention only requires adjusting the pure time delay of the observer's output channel, and the parameter tuning process is clear and intuitive, significantly lowering the threshold for engineering applications.

The invention provides a cross-coupling global continuous robust control method, and relates to the technical field of motor control. The method comprises the steps that forklift physical parameters and controller parameters are initialized; the expected speeds of the two forklifts are determined according to the preset track; acquiring an actual speed and calculating a self-calibration error and a cross coupling error; constructing a state space model; determining an error vector and an error first-order derivative; establishing an objective function, setting a control coefficient, constructing a control function, and obtaining a global continuous robust control rate based on the control function; and the self-calibration error and the cross coupling error are substituted into the global continuous robust control rate, the steering angle and the accelerated speed are output to execution mechanisms of the first forklift and the second forklift, and global continuous and stable synchronous movement of the two forklifts is achieved. The sliding mode buffeting is eliminated by introducing the global continuous control signal, and the state model containing the lumped disturbance term and the Hurvetz polynomial stability verification mechanism are constructed, so that the global continuous stability of the system is realized.

The application discloses a composite seeker jamming track recognition method based on an interactive multi-model, which comprises the following steps: firstly, initializing system parameters, assuming the motion parameters of a target and jamming; secondly, determining a state model used for describing the motion form of the target, and then modeling a multi-model system; thirdly, processing the state model to obtain updated model probability and system state estimation; fourthly, calculating a jamming decision threshold according to the updated model probability, so as to determine the appearing jamming track; fifthly, further identifying the specific jamming; and finally, outputting a jamming track serial number. The application introduces the motion modeling of jamming into the composite seeker, effectively improves the jamming recognition probability of the track gradual change, does not need to introduce an extra high-dimensional feature calculation, removes the jamming track in the track level dimension, and has the advantages of small engineering implementation cost, easy realization and the like.

The application relates to an efficient particle filter node positioning method for ocean sensor networks, including the following steps: 1) obtaining a first state vector of mean value of posterior probability at k−1 moment; 2) establishing the state model of the nonlinear system; 3) obtaining the observation model of the nonlinear system; 4) propagating particles, and calculating the state vector ū+k at the next moment according to the particle vector at k−1 moment; 5) obtaining the observed value and calculating the weight; 6) judging whether it is degraded, if not, the weight is used to calculate the position expectation, otherwise, 7) is executed; 7) modifying small-weight particles; 8) resampling the improved residual and normalizing the weights; and 9) using the weight of 8) to calculate the position expectation and realize node positioning.

This invention discloses an adaptive multi-source information fusion localization method and system based on lane line constraints, belonging to the field of autonomous driving technology. The method fuses data from an inertial measurement unit, satellite positioning module, wheel speed sensor, and lane line detection module using an extended Kalman filter to construct a state model including position, speed, attitude error, and sensor bias. Depending on the availability of a high-precision map, it flexibly uses position error or lateral deviation as the lane line constraint observation model. Furthermore, this invention introduces an adaptive observation noise adjustment mechanism based on lane line detection quality and a degradation processing mechanism based on chi-square detection. This invention effectively solves the positioning drift problem under satellite signal obstruction environments, improves vehicle lateral positioning accuracy and system robustness, and achieves low-cost, high-precision continuous positioning.

The application discloses a kind of based on the construction method and system of long-term future flow section in power grid of multi-version model.The method is based on model multi-version library to query future state model version information;According to future state model version information, corresponding model data and current real-time state model data are extracted in model multi-version library to form complete full model data by model splicing, and real-time state estimation mode data is inserted into full future model;Then, for the incremental equipment in future version model, automatic grid-connection processing is carried out relying on deep topological search technology, and complete initial mode data is given to the future model;Finally, according to multiple future model versions, the future section of multiple time scales is intelligently grouped, future boundary planning data is superimposed, and the construction of long-term future flow section is completed.The application can effectively improve the accuracy and reliability of future flow calculation.

The application discloses a kind of two-way asymmetric DSA sequence cerebral vessel segmentation method and system, the method includes: acquisition original contrast image pre-processing generates DSA sequence;Based on the preset double-branch encoding mechanism, the complementary space-time characteristics of DSA sequence are extracted;To complementary space-time characteristics, based on the preset selective space state model, time series modeling is carried out, and space-time dynamic characteristics are obtained;According to space-time dynamic characteristics and the preset two-way guide enhancement mechanism, obtain space-time modulation characteristics, based on the asymmetric cross attention mechanism of space leading, cross attention fusion is carried out to space-time modulation characteristics, and generates target space-time representation;Target space-time representation is decoded, and the cerebral vessel segmentation result of DSA sequence is obtained.It can be seen that the application can realize efficient space-time fusion, significantly improve the accuracy of vessel segmentation, computational efficiency and robustness.

The application provides a system frequency response estimation method and system based on fault location, and belongs to the technical field of new energy power grids, and comprises the following steps: constructing a new energy multi-operation state model; solving the node voltage after the fault based on the superposition principle and iterative calculation on the state model, establishing a mapping model of the fault location and the low penetration cluster, obtaining the initial value of the active power shortage, and comprehensively considering the initial value of the active power shortage between stations and the difference in active power recovery rate under different fault locations, and calculating the total active power shortage of the system level considering the difference in the low penetration characteristics of the stations; constructing a system frequency response model based on the difference in the frequency modulation capability caused by the fault location, and estimating the system frequency response by using the response model. The application realizes quantitative description of the active power shortage after disturbance of different fault locations and the loss of equivalent frequency modulation capability of the system, so that the accuracy of frequency response analysis is improved.

This invention discloses a simulation method and system for ship berthing and unberthing maneuvering considering the combined effects of wind and waves. The method establishes a body-dependent coordinate system with the ship's center of gravity as the origin, constructs three-degree-of-freedom motion equations for the ship's sway, roll, and bow roll in the horizontal plane, and couples the ship's hydrodynamic forces, propeller forces, rudder forces, bow thruster forces, wind loads, current loads, and wave drift forces into the state model. Wind loads are calculated using the wind pressure coefficient method, current loads using the current pressure coefficient method, and wave drift forces are obtained through frequency domain integration of the random wave spectrum and the drift force transfer function. Based on the aforementioned maneuvering forces and environmental forces, the state vector is solved iteratively using the fourth-order Runge-Kutta method, updating the ship's position coordinates, heading angle, and velocities in each direction in real time, and outputting the time histories of environmental forces and maneuvering forces to support berthing and unberthing maneuvering decisions. This invention features complete environmental load modeling, high numerical solution accuracy, and a modular system structure, demonstrating good engineering applicability.

A method for evaluating melt fragmentation in a sodium-cooled fast reactor (SFR), in which a high-order accurate particle method is adopted to discretely solve a corresponding model and calculate the melt fragmentation process in the SFR. A least-squares moving particle semi-implicit method with high-order accuracy for gradient and Laplace models is used, and a particle-shifting technique is used to maintain a more uniform particle distribution. A geometry-based free surface identification technique is adopted. An equation-of-state model is introduced to enable acquisition of more realistic physical parameters. The solid-liquid coupling model and the phase transition model are combined to carry out the high-order accurate discretization. An evaluation system is also provided. The melt fragmentation data can be updated to the system in real time, and a real-time dynamic graph of the melt fragmentation process is automatically generated, and real-time dynamic cloud graphs of different influencing factors are automatically generated.

The invention relates to the technical field of photoelectric measurement and machine vision, and discloses a dynamic rotating speed measurement method based on laser speckles, which is suitable for diffuse reflection characteristic-free rotating parts. Projecting a light beam to a measured object to form speckles, and capturing an asynchronous event stream by using an event camera and a self-adaptive mask; mapping the stream data to a dynamic time window, and converting the stream data into a two-dimensional time surface matrix through a time decay model; resolving a physical rotation center based on known parameters or a low-speed accumulation matrix and feeding back the updated mask; performing logarithmic polar coordinate transformation by taking the center as a pole, and obtaining a roughly estimated angular velocity through integral projection and frequency domain calculation; constructing a search space by taking the displacement as a priori, and executing position compensation and similarity evaluation to extract a refinement rotation displacement; based on this, a second-order state model is constructed, and the instantaneous angular velocity is output through adaptive filtering. According to the invention, the radial vibration interference is decoupled, the extreme working condition range is widened, and the speed measurement precision and the anti-interference capability are remarkably improved.

The application relates to a fault detection method and system of a nonlinear multi-agent system, and relates to the technical field of multi-agent fault detection.The method comprises the following steps: constructing a Lipshitz nonlinear system model according to each agent; determining a state observer according to a system state model and a system output model; determining a controller according to the state of the state observer and combined measurement variables; solving a linear matrix inequality by using a robust control theory according to the state observer and the controller to obtain a controller gain matrix and an observer gain matrix; determining an output vector according to the controller gain matrix, the controller and the system state model; determining an output vector estimated value according to the observer gain matrix and the state observer; determining a residual evaluation function according to the output vector estimated value and the output vector; and the residual evaluation function is used for detecting system faults.The application can realize the sensitivity of a residual signal to faults and the robustness of control output to faults.

The invention discloses a pipeline design and stress analysis bidirectional data integration verification method and system, and relates to the technical field of computer aided design. The method comprises the following steps: performing forward data conversion, extracting three-dimensional model data and generating a stress analysis model; an analysis result is returned, and a final model neutral file and multi-working-condition node displacement data are exported; dual-node matching and consistency verification are carried out, and a stable node corresponding relation is established through node identification and spatial distance; running state geometric reconstruction and preview verification: carrying out envelope calculation on multi-working-condition displacement to generate a running state model, and carrying out overlapping display on the running state model and the cold state model; automatic space interference detection and model updating are carried out, risk judgment is carried out through space index and bounding box pre-screening, and the three-dimensional model is updated after confirmation. According to the method, closed-loop verification between the design model and the analysis model is realized, the problems that data of a heterogeneous system are asynchronous and thermal deformation cannot be verified are solved, and the design consistency and convenience are improved.

The invention provides a new energy system impedance and stability collaborative analysis method and system, and the method comprises the steps: obtaining real-time operation data of a target new energy system, and carrying out the preprocessing of the real-time operation data, the target new energy system being a new energy system model built based on Simulink; injecting a disturbance signal into the target new energy system in a preset frequency band to obtain an initial estimation value of the impedance parameter; inputting the initial estimation value into a preset spatial state model, and generating an impedance characteristic curve through fast Fourier transform; constructing a transfer function model based on the impedance characteristic curve, and generating a stability margin map; performing multi-dimensional sampling on the stability margin map to generate a probability prediction matrix of system stability; and adjusting an impedance weight coefficient in the spatial state model based on the probability prediction matrix, and outputting a verification result of the multi-source hybrid access adaptability. A more accurate and higher-order system model can be extracted from limited simulation data, and the comprehensive influence on the stability is evaluated.

This invention relates to the field of engineering construction technology, and more particularly to an integrated service system for the entire chain of engineering construction projects. The system includes: a modeling and processing module that acquires and preprocesses multi-source data encompassing design, manufacturing, transportation, construction, and environmental categories, thereby constructing a state-space model and corresponding state transition relationships; a constraint construction module that generates cross-stage constraint relationships based on the preprocessed multi-source data and maps them to construction tasks to form a task constraint set; a scheduling generation module that solves the constraints to output an initial scheduling scheme; real-time state updates and violation identification to identify affected task subsets; and finally, a scheduling adjustment module that performs local rescheduling and synchronously updates the model. In this invention, multi-stage and environmental data are collected, a state model and transition relationships are constructed, task constraints are generated based on cross-stage constraints, and scheduling updates and local rescheduling are implemented, combined with working conditions to achieve dynamic adjustments to construction, thus solving the problem of deviations in traditional construction plans.

The application discloses a foundation scouring flow-solid-soil coupling simulation method based on SPH-DEM coupling and multiphase flow theory, which comprises the following steps: constructing a particle model, setting fluid particles and bed sand particles based on the multiphase flow theory, and setting rigid particles based on the DEM theory; correcting the fluid control equation based on the flow-solid coupling theory, and performing control solving of the fluid particles; performing control solving of the DEM rigid particles based on Newton's second law and introducing flow-solid coupling force; introducing flow-soil and soil-solid coupling force to correct the sediment incipient model based on the Shield criterion of sediment particles, and performing control solving of the foundation scouring; completing one time step and entering the next cycle; through secondary development based on the SPH-DEM coupling and the multiphase flow theory, the application introduces various structure and state models, and can realize fine numerical simulation of the foundation scouring flow-solid-soil coupling.

The purpose of this invention is to provide a method for observing the injection pattern of a high-pressure common rail system based on Kalman filtering, comprising the following steps: establishing the injection pattern dynamic equation based on instantaneous common rail pressure; constructing an injection observation state-space model and discretizing the continuous state model; designing a Kalman filter-based closed-loop observer for the injection pattern; and online real-time observation of the injection quantity. Based on a linear time-invariant model, this invention establishes a linear time-varying state-space model of the injection pattern for situations with large-scale changes in rail pressure. It incorporates model uncertainties and measurement noise into the model and proposes a Kalman filter-based observation method to achieve closed-loop observation of the injection quantity.