88results about How to "Avoid non-convergence" patented technology

The invention discloses an imaging simulation method and system for a decimeter-scale satellite-borne TDI CCD stereoscopic mapping camera. Stereoscopic images of a commercial satellite Worldview-3 which has the highest resolution at present as a data source, and a data form of image+ground point is formed through stereoscopic matching processing. To acquire the instant imaging face irradiance of a TDI CCD is regarded as a core step, an orbit, attitude parameters, camera installation parameters, TDI CCD geometric parameters, camera MTF and the like are organically linked up. The multistage dynamic integral simulation of the TDI CCD is achieved through time domain integral and TDI CCD multistage charge accumulation, and then, the strict simulation of radiation response and linear array image imaging of the camera are achieved. According to the method and the system, the disadvantage in the traditional imaging simulation that the difference of geometric and radiation information corresponding to different vision angles in high-resolution satellite stereoscopic imaging is hard to simulate due to the adopting of a single data source can be avoided, and the accuracy of simulating stereoscopic mapping satellite images is improved.

The invention relates to a rapid collective Kalman filtering assimilating method for real-time data of high-frequency observation data. The method comprises: collecting the high-frequency observation data and controlling the quality; calculating an observation error covariance matrix; obtaining the error covariance matrix of background fields by calculating a forecast trend, i.e. the difference value of the adjacent background fields; utilizing the covariance matrix, the error covariance matrix of the background fields, the observation data and the background fields currently obtained by the calculation of a marine numerical model so as to carry out the real-time assimilation on the observation data of different moments, assigning the updated analysis field to the initial field of the next-moment integral and continuously forecasting forwards; and repeating the operations, thus realizing the real-time assimilation on the high-frequency observation data of different moments in the integral course. The assimilating method has the advantages that the real-time assimilation of the high-frequency observation data is realized; the assimilation efficiency of the data is enhanced; the defect that a large amount of collective models are simultaneously operated in the implementation course of the traditional EnKF (ensemble kalman filter) is overcome; the problem of non-convergence is avoided; and the purposes of accurate numerical simulation and marine forecasting are reached.

The invention discloses a rotary machine residual life prediction method of a multi-layer bidirectional gating cycle unit network. The rotary machine residual life prediction method comprises the following steps: acquiring a vibration signal; constructing health indexes; constructing a network training set; constructing a multi-layer bidirectional gating circulation unit network; training a multi-layer bidirectional gating cycle unit network; and carrying out network testing, residual life estimation and confidence interval acquisition; and performing residual life prediction evaluation. According to the rotary machine residual life prediction method, the advantages of strong feature extraction capability of deep learning are combined, and regression prediction is carried out by utilizinga bidirectional gated cycle unit neural network, and the confidence interval of the residual life is obtained through a Bootstrap method. Aiming at the problems that the model precision is sensitive to the value of the learning rate in the training process of a recurrent neural network model, the prediction performance of the model is influenced by too high and too low values, and the neural network is efficiently trained by utilizing the natural exponential decay learning efficiency. The rotary machine residual life prediction method can accurately predict the residual life and confidence interval of the rotary machine, can greatly reduce the expensive unplanned maintenance, and avoids the occurrence of a big disaster.

The invention relates to a communication method based on a two-way relay network coding system, which ensures that the two-way relay network coding system can acquire minimum average symbol error rate between a user and a base station through relay cooperation communication. In the method, the communication between the user and the base station is finished in two time slots; in the first time slot, a relay receives information sent by the user and the base station in a synchronous and same-frequency mode, and designs an optimal processing matrix according to the current channel information; in the second time slot, the relay sends a received signal multiplied by the processing matrix with optimal design to the user and the base station in the synchronous and same-frequency mode; and the user and the base station eliminate components of self-sending signals from the received signal respectively to obtain information which needs to be transmitted by the base station and the user.

The invention discloses a low-earth-orbit satellite backup navigation system Doppler positioning calculation method, which is a Doppler positioning calculation method combining large-area grid search coarse positioning and Newton least-squares iterative calculation applicable to any number of visible satellites. The method mainly comprises the following three aspects: Doppler positioning observation variables are selected flexibly to make the method applicable to various visible satellite observation conditions; (2) position initial value determination of a Newton least-squares iterative positioning calculation method is implemented through a large-area grid search method; and (3) Doppler positioning calculation is implemented through the Newton least-squares iterative calculation method, and the positioning accuracy is further improved through an outlier-removed multi-epoch positioning calculation result smoothing method. Large-area high-accuracy Doppler positioning calculation under various conditions with different numbers of low-earth-orbit visible satellites is realized. The method has the advantages of lower computational complexity and higher positioning accuracy.

The invention discloses an overlapping coalition game model under context awareness and a spatial adaptive play algorithm. The model is characterized in that secondary users with content requirementsin a D2D network are considered, adjacent users with overlapped content requirements form a coalition, and one user acquires frequency spectrum resources and forwards the acquired frequency spectrum resources to other users in the coalition. The algorithm is characterized in that the overlapping coalition game model is built, and participants are all the secondary users in the D2D network; each user divides other users into neighbor users and non-neighbor users; each user randomly selects and accesses one coalition and calculates the utility function brought by all selectable coalitions, and the user selects and accesses the coalition which can bring the optimal utility; loop iteration is performed until the coalition choice of all users achieves convergence or reaches set iteration times;the coalition choice under other content is calculated after the loop iteration until the whole network is covered. By the overlapping coalition game model and the spatial adaptive play algorithm, the frequency spectrum resource content overlapping relation among the users can be depicted and utilized.

The invention provides a soft-hard interbedded wall rock tunnel construction simulation method considering bedding action, comprising the steps of S1, acquiring related physical parameters of wall rock: processing tunnel wall rock to be simulated into a standard test piece according to Regulation for Testing of Physical and Mechanical Properties of Rock by using rock conventional mechanical property test, and acquiring related physical parameters of wall rock through uniaxial / triaxial compression test and shear test; S2, imparting a wall rock simulation unit to the mechanical parameters acquired by the tests of step S1, and carrying out simulation analysis by using self-contained elastic-plastic constructive model of ANSYS software, dp rules and contact pair effect. The simulation method provided herein enables the simulation for changes and influences generated by bedding stress field, displacement field and the like in the whole process of soft-hard interbedded wall rock tunnel excavation, the problem that nonlinear analytical results fail to converge in the simulation process is solved, simulation results may indicate that whether bed separation and the like occur after tunnel excavation, the simulation better meets the engineering actuality, and the simulation results may guide actual tunnel construction.

The present invention, belonging to the technical field of dispatching automation of a power system, discloses a power system dynamic state estimation method considering zero-injection constraint. The power system dynamic state estimation method is characterized by solving a power system dynamic state estimation model considering zero-injection constraint by using projection unscented Kalman filtering-based method. According to the power system dynamic state estimation method, zero-injection constraint conditions of the power system are added into a conventional power system dynamic state estimation, comprising a state transition equation and a measurement equation of the estimation model. State prediction, state filtering and state projection are carried out by using a projection unscented Kalman filtering-based algorithm, and finally a state quantity estimated value which meets the zero-injection constraint of the power system is obtained. According to the power system dynamic state estimation method, the problem of inaccurate estimation results caused by no consideration on the zero-injection constraint in the dynamic state estimation process of a conventional power system can be solved, and the obtained state quantity estimated value further accords with a true value, thereby ensuring effectiveness of subsequent analysis and control.

The invention is suitable for the technical field of anti-icing and deicing, and provides a wall surface temperature simulation method of an anti-icing system, which comprises the following steps: carrying out grid division on a wall surface and a dry air flow field, the grid division of the wall surface being consistent with the grid division of the dry air flow field; an initial wall surface temperature Ts0 is obtained through a dry air flow field simulation module; calculating the total energy Qi-1 of the surface film through the (i-1) th wall surface temperature Tsi-1, and substituting the total energy Qi-1 of the surface film into the dry air flow field simulation module to obtain the ith wall surface temperature Tsi; judging whether the ith wall surface temperature Tsi converges or not; if the ith wall surface temperature Tsi is not converged, i is made to be equal to i + 1, and the steps are repeated; if the ith wall surface temperature Tsi converges, the ith wall surface temperature Tsi is the final wall surface temperature. The wall surface temperature simulation method provided by the invention is good in convergence, convenient to solve and closer to a real physical process.

The invention discloses a numerical simulation analysis method for a microwave field chaotic stirrer. The method comprises the steps of firstly building a finite element model of the microwave field chaotic stirrer and a random motion function model of a stirring part in the microwave field chaotic stirrer; secondly defining a control equation and a boundary constraint equation of a geometric model region of the microwave field chaotic stirrer; and thirdly solving the control equation by utilizing a finite element method to obtain electromagnetic field distribution in the microwave field chaotic stirrer. According to the method, the random motion function model is combined with the finite element model; a random motion of the non fixed stirring part in the microwave field chaotic stirrer is simulated by utilizing the random function model to obtain a moving mesh changed with the stirring part; and a partial differential equation of an electromagnetic field is solved by utilizing the finite element method, so that dynamic electromagnetic field distribution, changed with time, of the microwave field chaotic stirrer can be obtained.

The invention provides a modeling method of a gallium nitride high-electron-mobility transistor large signal statistical model; the modeling method comprises: testing a plurality of gallium nitride high-electron-mobility transistors in each batch to obtain current-voltage characteristics of the gallium nitride high-electron-mobility transistors; using the current-voltage characteristics with a gallium nitride high-electron-mobility transistor large signal equivalent circuit model to extract large signal equivalent circuit parameters of the gallium nitride high-electron-mobility transistors; using response curve method to establish the large signal statistical model according to the large signal equivalent circuit parameters. The modeling method has the advantages that data quantity can be decreased, the problem of convergence failure doe to anomalies is avoided, the statistical model acquired through the modeling method can accurately reflect the process changes of different devices, and the production quality of the transistors is stable and in balance.

The invention discloses a method and system for analyzing uncertain power flow of a power grid. The method comprises the steps of obtaining the probability description of input random variables such as the wind speed, light intensity and load of a power system, building a model of random factors of the power system, and determining to-be-solved target output variables such as node voltage and linepower flow; obtaining sampling values of the input random variables such as the wind speed, light intensity and load, and obtaining origin moments of all orders of the output variables such as the node voltage and line power flow according to a deterministic evaluation method; and based on a calculation result of the origin moments, solving probability distribution of the target output variablessuch as the node voltage and line power flow by utilizing a maximum entropy probability distribution algorithm. The method can effectively overcome the characteristic of complex calculation process ina traditional point estimation method, makes up the problem of inaccurate fitting of the traditional point estimation and series expansion method, and has certain application value for analyzing theuncertainty state of the power system.

The invention relates to a functionally gradient material and structure parameter statistics recognition method. The method is used for statistics recognition based on functionally gradient material component material physical property parameter and component distribution corrected by a functionally gradient structure random model. On one hand, the method for adjusting the search range for each step iteration is adopted for increasing the recognition speed; on the other hand, propagation from the material recognition parameter randomness to the structure modal parameter randomness is achievedby building the corresponding relation between first-order partial derivatives of relative recognition parameters of functionally gradient structure modal parameters and first-order partial derivatives of relative recognition parameters of functionally gradient material effective physical property parameters, and misconvergence caused by accumulative errors in the iteration recognition process isavoided.

The invention provides a method and device for real-time prediction of the reaction depth of a hydrocracker. The method comprises the steps of establishing steady-state datasets for different working conditions, wherein operation datasets corresponding to different steady-state working conditions are screened out from historical datasets with the similarity measurement method, and the operation datasets are stored in a classified mode according to device operation phases and mixed feeding oil properties; conducting neural network optimal training sample set optimization, wherein based on the feeding oil properties under the current working condition, an optimal training sample is selected from the steady-state working condition operation datasets of the hydrocracker according to the similarity of mixing indexes to achieve fast training of a neural network; conducting real-time prediction of the reaction depth. By the adoption of the method and device, the reaction depth of the hydrocracker is predicted under the current operation phase, the current feed properties and the current operation condition, real-time state information is provided for optimal control of the injection volume of quenching hydrogen in the process, and a basis is provided for protecting the activity of a catalyst, prolonging the on-stream time of the hydrocracker and realizing flexible adjustment of processing amount of a target product.

The invention discloses a large-range multi-view inclined image connection point quick and accurate matching method, which comprises the following steps of calculating a downward-view camera placementangle error by utilizing a downward-viewimage in a small-range local area, and correcting an external azimuth angle element of thedownward-view image, performingdownward-view image connection point matching by fusing and utilizing strategies such as pyramid image matching, block feature point extraction and relaxation iteration method matching, and obtaining accuratedownward-view image exterior orientation elements and connection point object space coordinates through block adjustment, on the basis, fully using the spatial geometric constraint relation between the downward-view image and theoblique-view image, and achieving turning point matching from a downward-view image connection point to the oblique-view image, and refining the coordinates of the image points of the connection points by using multi-view object space matching to realize rapid and accurate matching of the connection points of the inclined images. The geometric constraint between the downward-view image and the oblique-view image is fully utilized, only the feature points are extracted from the downward-view image for matching, and the matching speed and quality of the connection points of the large-range oblique image are effectively guaranteed.

A finite element calculation method of separated interface connecting strength comprises the following steps that 1a whole three-dimensional finite element model of a lower butt-joint frame of a separated interface and a whole three-dimensional finite element model of an upper butt-joint frame of the separated interface are established and a separating nut is simplified into a beam unit; 2 the contact relationship between the lower butt-joint frame and the upper butt-joint frame is established and multi-point constraint relationships are established between one end of the separating nut and the lower butt-joint frame and between the other end of the separating nut and the upper butt-joint frame respectively; 3 calculation is submitted and the largest axis force of the beam unit and the largest shear force of the beam unit are output, wherein the largest shear force is the resultant force of shear forces, in two directions, of the beam unit; 4 a local model of a single connecting point on the separated interface is established and the mutual contact relationships between all parts are considered; S5 analysis steps are established and calculation is submitted; S6 post-processing is conducted on calculation results submitted in the 5 and stress and deformation of all the parts are obtained.

The invention relates to a large-size disc brake thermal structure coupling loading method. The thermal structure coupling loading method is a displacement gradient iterative method, comprising a friction heat flux radial loading method and a friction heat flux circumferential loading method. That is to say, the friction heat flux generated in the cycle of each research area is loaded iterativelyalong the radial and circumferential directions of the brake disc respectively. Displacement gradient iterative method can be used to solve the problem of friction heat flux loading caused by the width of left and right area of large brake disc / brake pad and the radial difference of linear velocity under the influence of the width, and the temperature gradient produced alternately by contact surface and non-contact surface can not reflect the problem of thermal structure coupling model. The transient distribution of temperature field, stress field and deformation in all directions on the surface of brake disc can be solved accurately, which provides theoretical support for the optimization of large size brake disc design under complex working conditions.

The invention discloses a regional power grid voltage reactive power optimization control method. According to the regional power grid voltage reactive power optimization control method, multi-agent technology is applied to a power grid reactive power optimization control decision model, relationships between a plurality of targets during reactive power optimization are changed by changing the scoring weight, and then the maintainability and the expansibility of a regional power grid online reactive power optimization control system are enhanced; the regional power grid reactive power optimization control adopts a multi-agent technological model, a multi-agent technology based reactive power optimization control system architecture is provided, a large amount of burdensome rules in expert system suboptimum control is avoided, the relationships between the plurality of targets during the reactive power optimization are changed by simply changing the weight of the scoring weight, and the maintainability and the expansibility of the system are enhanced.

The invention provides a method and a system for determining the steering angle of a vehicle steering wheel in order to solve the problems of insufficient steering angle of the steering wheel during curve following and U-shaped curve following and back-and-forth shaking of the steering wheel during high-speed driving in a pure tracking method. The method for determining the steering angle of the vehicle steering wheel comprises the steps of obtaining a planned path of a vehicle, wherein the planned path comprises a plurality of planned path points; obtaining the course angle error of the vehicle, the target longitudinal speed of the vehicle, the foresight distance of the vehicle, the wheelbase of the vehicle and the first curvature of the vehicle turning along with the planned path point; according to the course angle error, the target longitudinal speed and the foresight distance, determining feedback steering curvature compensation of the vehicle; determining a feedback steering angle of the vehicle according to the first curvature, the feedback steering curvature compensation and the wheelbase; acquiring the actual longitudinal speed of the vehicle; determining a feedforward steering angle of the vehicle according to the planned path, the actual longitudinal speed and the wheelbase; and determining a steering wheel steering angle of the vehicle according to the feedback steering angle and the feedforward steering angle.

The invention provides a method for evaluating full-polarized SAR isolation degree based on distributed targets. The method obtains a ground feature, reversely adds crosstalk to the actually measured scattering matrix of the selected ground feature, obtains the estimated value of the SAR crosstalk by using a correlation coefficient between channels, so as to reflect the isolation degree of the polarized channel of the polarized SAR. The method mainly solves the estimation of the polarization isolation degree in the full-polarized SAR quality evaluation, and comprises main steps of: selecting a ground feature, dividing the actually measured scattering matrix of the selected ground feature, namely data M to be evaluated, into N data blocks MN with the same size; reversely adding crosstalk [delta] to the data blocks MN, and computing the correlation coefficients [rho]HHHV, [rho] HHVH, [rho]VVHV, [rho]VVVH between the co-polarized channel and the cross-polarized channel under different [rho]; acquiring the added crosstalk values which minimize the correlation coefficients [rho]HHHV, [rho] HHVH, [rho]VVHV, [rho]VVVH for each data block; subjecting the 4N crosstalk values to statistical averaging to obtain the crosstalk estimated value, and taking the negative value of the crosstalk estimated value as the polarized channel isolation degree.

The invention provides a large signal statistical model modeling method for a gallium nitride high electron mobility transistor. The method comprises the following steps: testing a plurality of gallium nitride high electron mobility transistors in each batch, and acquiring current-voltage characteristics of the gallium nitride high electron mobility transistors; allowing the current-voltage characteristics to be used in large signal equivalent circuit models of the gallium nitride high electron mobility transistors, and extracting large signal equivalent circuit parameters about the gallium nitride high electron mobility transistors; and using a response curve method to build a large signal statistical model according to the large signal equivalent circuit parameters. The modeling method provided by the invention can reduce the amount of data, and avoid the problem of non-convergence when an abnormal value occurs, so that the statistical model obtained through the modeling method can accurately reflect process change conditions of different devices, and the production quality of the transistor is stable and balanced.

The invention provides a parameter identification based separation control method. A vertical controlled object model is established; a control strategy is designed on the basis of the established model, concretely, an attack angle instruction profile is designed according to an equivalent pitch angle speed instruction, and according to the attack angle instruction profile, an attack angle instruction is generated to control a controlled object; first and second state observers are designed to observe the controlled object so as to identify a stable zero-control balanced state of the controlled object; the first state observer is also used for control the controlled object stably; and after that the controlled object is in the stable zero-control balanced state, the attack angle instruction is switched to that corresponding to initial time of the stable zero-control balanced state. The control method can be used to identify and stably control the stable balanced state of an aircraft, and the problems that an algorithm is incapable of convergence and the instantaneity is low in a present identification method are solved.

The invention discloses an integrated method for a power divider with band-pass frequency response. The method comprises the following steps of: on the basis of the input port return loss and out-of-band suppression index for design of the power divider, integrating a corresponding normalized coupling matrix of a general Chebyshev filter; and according to the number of branches of the power divider and the power dividing ratio of each branch, by using an equivalent circuit principle, changing the coupling coefficients of the last common node of a network and a first node in each branch and the coupling coefficients of the branches including cross coupling to obtain the normalized coupling matrix of the power divider of this type, so that the aim of quickly integrating a band-pass type power divider is fulfilled. By adoption of the method, optimization of the normalized coupling matrix of the whole power divider is not required. The method is easy to implement and high in feasibility. The problem of non-convergence of the acquired normalized coupling matrix of the power divider by using an optimization algorithm or long computation time in the prior art can be solved.

The invention discloses an electric quantity rolling decomposition engineering method. Medium-and-long-term contract electric quantity decomposition is one of the main work of electric power trading centers of all power grid companies, and when the electric power trading centers of all power grid companies make annual power generation plans at the beginning of the year, annual contract electric quantity needs to be decomposed into months in the year according to monthly load prediction, unit startup capacity and other factors of the year. Meanwhile, the monthly power generation plan of each month also needs to be decomposed from the day-ahead period to the intra-day period. In addition, in the actual execution of the power generation plan, the decomposition scheme needs to be subjected torolling correction according to the completion condition of the power generation plan in each previous time period. The high-quality contract electric quantity decomposition scheme can greatly reducethe difficulty of subsequent daily scheduling, and is a basis for economic scheduling and energy-saving power generation scheduling of a power grid, thereby having very important significance.

The invention provides a gear reliability analysis system based on boundary constraint generation antagonism network, which is characterized by comprising an original data sampling module, a generation antagonism network module, a mean covariance marking module and a classifier, wherein, the original data sampling module is used for acquiring the original parameters of the gear and normalizing theoriginal parameters; the generating countermeasure network module comprises a generator and a discriminator, and a boundary constraint module is arranged between the generator and the discriminator.A mean covariance mar module is used for mar that final generated data of the generated antagonistic network module; classifier: selecting part of the original parameters and part of the generated data after tagging as the final composite data set for security classification. The effect is that more instance data can be generated and effectively marked, and the data generated by constrained GAN has better reliability classification ability.

The invention discloses an unconditionally stable multi-point excitation collapse explicit analysis method for a super-large-span bridge. The unconditionally stable multi-point excitation collapse explicit analysis method includes the steps: establishing a finite element model of the structure and defining a fiber cross section, then converting the uniformly distributed load of the structure intocentralized quality processing, and obtaining a seismic response image by using a KR algorithm. The unconditional stable explicit integral algorithm applied in the invention can make up the problems of non-convergence caused by iteration, too small step length in a loading path or display integral algorithm, low efficiency precision and the like of the implicit integral method to a great extent. The unconditionally stable multi-point excitation collapse explicit analysis method can obtain a stable solution without time step length requirements, and is high in the efficiency is high when a large-span structure and a complex structure.

The invention discloses a dense residual generative adversarial network capable of quickly removing rain. The dense residual generative adversarial network comprises the following steps: establishingan algorithm operation environment; b, establishing a rain removal data set; c, designing a dense residual generator sub-network for quickly removing rain; d, designing a dense residual discriminatorsub-network for quickly removing rain; e, designing a discriminator and a generator loss function; and f, performing image post-processing and index calculation, and verifying the rain removal effectof the algorithm model. According to the invention, the operation and test environment of the whole algorithm is built, and the time consumption is reduced as much as possible while the rain removal effect is ensured and enough background details are reserved through the designed rain removal model. According to a result test, the rain removing duration of each image is about 0.02 s, and the rainremoving efficiency is greatly improved.

The invention discloses an acoustic emission source positioning method and system based on a random sensor network. The system is characterized in that the random sensor network comprises n acoustic emission sensors which are not totally arranged in a coplanar manner at any position in a monitoring system, wherein n is more than or equal to 6; the coordinates of the n acoustic emission sensors arerecorded as (xi, yi, zi), and i is 1, 2, and n; the time of the n acoustic emission sensors receiving the acoustic emission signals are recorded as t1, t2, and tn; and the acoustic emission source coordinates (x, y, z) are calculated according to a given localization formula. The method and the system can realize high positioning precision and stability.

The invention discloses a multi-antenna balanced receiving method for high-speed video communication, and the method comprises the following steps: defining variables, and constructing a self-adaptive filter; taking the column vector as the input of a transverse filter and a transverse filter tap coefficient, and simplifying the nonlinear structure of the equalizer into a linear filtering structure; obtaining an optimal solution of the equalizer according to a minimum mean square error rule; and iteratively solving through a conjugate gradient algorithm to complete the design of the adaptive equalizer, so that the equalized overall channel is a unit matrix or a switching matrix. According to the method, the adaptive equalization problem is modeled into the adaptive filtering problem, iterative solution is carried out through the CG algorithm, and the equalizer adopting MMSE equalization does not need to identify a channel and can adapt to the change of the channel.