38results about How to "Reduce the number of simulations" patented technology

The invention relates to a simulation replay method for a fault record of a high-voltage direct current power transmission system. The method comprises the steps of acquiring the amplitude and the phase of a fault waveform voltage source of a rectifier station and an inverter station before and after a fault of the high-voltage direct current power transmission system through a data reading module respectively, and adjusting the amplitude and the phase of an ideal voltage source of the rectifier station and the inverter station according to the amplitude and the phase respectively to be consistent with the amplitude and the phase of the fault waveform voltage source; and controlling the on-off states of a fault waveform voltage source circuit breaker and an ideal voltage source circuit breaker through a handover control switch, thus realizing stable handover between the ideal voltage source and the fault waveform voltage source based on fault recording data, avoiding manually adjusting simulation parameters for multiple times, reducing the number of simulations, realizing automatic simulation replay of the fault record of the high-voltage direct current power transmission system and improving the fault replay accuracy and the simulation efficiency.

The invention discloses an efficient evaluation method for the unstable motion of a damaged ship, which relates to the technical field of ships. The method determines several mutually independent target wave sea conditions according to business scenarios, and based on the time domain motion of the damaged ship constructed according to each target wave sea state The model carries out numerical simulation to obtain the wave time series of each target wave sea state, so as to determine the corresponding effective simulation time length, and then carry out numerical simulation based on the time domain motion model of the damaged ship according to the effective simulation time length to obtain the roll angle amplitude Instability motion evaluation, this method selects wave sea conditions for evaluation according to business scenarios, and can fully reduce the number of simulations for a single sea state, and can ensure the independence of stability failure events, which has the advantages of both accuracy and efficiency , which is very suitable for the evaluation of the instability characteristics of damaged ships in waves.

The invention discloses a method for optimizing of model selection based on clustering analysis. The method comprises the following steps of 1, establishing a plurality of three-dimensional quantitative geological models, calculating the attribute value of each grid node of each model, standardizing the attribute value, calculating the Euclidean distance between any two models, and obtaining a dissimilarity matrix for representing the difference of each model; 2, reducing the dimension of the dissimilarity matrix, and distinguishing the similarity of the model by vectors in a two-dimensional space; 3, clustering the model by a clustering analysis method, and selecting one or a plurality of models from each type for the research of numerical reservoir simulation; 4, comparing a well point attribute value histogram and a histogram of the selected model, and judging whether the selected model meets the geological concept or not; 5, comparing the reservoir calculated by the selected model and the P10, P50 and P90 reservoirs, and judging the representativeness of the selected model. The method has the characteristics that the simplicity and objectivity are realized, the application range is wide, and the method can be applied to the field of reservoir description.

The invention discloses a probability circuit simulation method based on a steepest descent method and a bisection method. The probability circuit simulation method comprises following steps: (1) determining a corresponding relation between a probability unit and an output signal and determining a "gradient" relation therebetween at the same time; (2) acquiring a probability unit combination matrix with respect to each individual output signal, and meeting required precision requirements by using the bisection method to adjust error probabilities; and (3) carrying out overall optimization so as to obtain a final result, allowing a value of each probability unit to be a maximum value and a minimum value in each row in step 2 to obtain two groups of probability combinations and carry out simulation, finding out an output signal, whose error probabilities are at two sides of a target value and error probability difference value is the biggest in two groups of tests, using the bisection method to optimize the final result again and repeating the above steps until all the output error probability values reach a required precision. The probability circuit simulation method is advantageous in that a probability unit needing to be adjusted can be chosen in a quite precise manner during adjustment of a probability value; an error probability value of the probability unit is adjusted in a quite precise manner; and more energy is acquired and saved.

The present invention disclosed a method of stealth super surface radar scattering section reduction method based on space mapping.First of all, establish a stealth super surface model, so that the uniform plane waves are irradiated on the stealth ultra -surface to determine the total scattering field of the stealth super surface; then calculate the rcs obtained by the first stealth ultra -surface based on the coupling array factors, as the stealth ultra -surface SMThe rough model of the algorithm optimizes the rough model and finds the optimal solution of the rough model. Finally, the mapping relationship establishes the mapping relationship in the upper and step 3 of the rough model to obtain the prediction parameters of the model to obtain the fine model.If it is not satisfied, iterates the mapping relationship between the rough model parameters and the fine model parameters, and the response to the obtained response meets the design requirements.The method of the present invention optimizes the discharge of the two units to form a super surface. In the case of determining the size of the super surface array, the RCS reduction has been increased while saving time and memory.

The invention provides an iterative factor construction method of a Turbo product code decoder, which comprises the following steps of: a. selecting a Turbo product code structure, presetting iterations according to the required error rate of communication protocols and setting the values of a weighing factor alpha (1) and a reliability factor beta (1); b. calculating a weight factor alpha (m) anda reliability factor beta (m) through a formula; and c. conducting simulation on the property of the Turbo product code decoder according to the obtained weight factor alpha (m) and the reliability factor beta (m); if the simulation result is not conformable to requirements, increasing the iterations and transferring to step b to re-calculate the weight factor alpha (m) and the reliability factorbeta (m) until the simulation result is conformable to the requirements; and taking the weight factor alpha (m) and the reliability factor beta (m) obtained at the last time as the iterative factor of the Turbo product code decoder. The method greatly reduces the required time for determining the iterative factor and can be widely applied to the realization of the soft-input and soft-output decoder of the Turbo product code of different protocols and different structures.

A fast prediction method for throat-bolt solid attitude and orbit control thrust, which determines the throat bolt solid attitude and orbit control thrust physical model, design variables, constraints and design space after considering the deposition effect; generates training samples in the design space through the experimental design method The input variable of each point is used to calculate the real output response of the physical model at each training sample point; the augmented radial basis function approximation model of throat-bolt solid attitude and orbit control thrust is established by using the chaotic polynomial augmented radial basis method; The problem of determining multiple shape parameters is transformed into an optimization problem of anisotropic scaling coefficients; K ‑Folding cross-validation algorithm solves the optimization problem of anisotropic scaling coefficient, selects the anisotropic scaling coefficient with the smallest cross-validation error and brings it back to the approximate model, and obtains a fast prediction model of throat-bolt solid attitude-orbit control thrust. Based on the fast prediction model of throat-bolt solid attitude and orbit control thrust, the rapid prediction of throat bolt solid attitude and orbit control thrust can be carried out.

The invention provides an efficient time-domain full waveform inversion method, which belongs to the field of high-efficiency, low-storage, and high-precision velocity modeling of petroleum seismic exploration data. The first step is to use the three-random scheme of random source polarity, random source position and random number of sources to randomly form super-shot sets of different frequency bands on the original observation seismic records; the second step is to use CUDA-based multi-GPU parallel computing technology to accelerate the time domain The high-order staggered grid finite difference forward simulation of the first-order form of the acoustic wave equation system and the elastic wave equation system obtains the ifreq frequency band super shot set of the GPU simulation; the CPU and GPU collaborative technology is used in the forward simulation, and multi-GPU cores are used Simulate the propagation of different seismic sources, and store the boundary data of the source wave field and all wave fields at the last moment in the computer memory.

The invention discloses an underwater robot control method based on reinforcement learning and a control method of tracking with an underwater robot, belonging to the technical field of underwater robot control. According to the methods provided by the invention, a control center gives desired trajectory information of the underwater robot, and sends the information to the underwater robot; according to a probability density function of uncertain parameters in an underwater robot model, sampling points are respectively selected for the uncertain parameters, and order reduction is executed foran original dynamical model based on the sampling points; the underwater robot performs interaction with surrounding environment so as to learn environment information, a one step cost function is calculated at different states and value updating is executed, weight of a value function corresponding to a control strategy is solved through a least square method, improvement of the control strategyis executed through a gradient descent method, loop iteration is executed for two processes of value updating and strategy improvement until convergence is realized, and consequently, an optimal control strategy of current position tracking desired trajectory is obtained; and steps above are repeated for obtaining the optimal control strategy for the rest desired trajectory tracking, and finally,a tracking task is completed.