32results about How to "Guaranteed modeling accuracy" patented technology

The invention provides an earthlight light pressure perturbation modeling method for a navigational satellite complicated model. The method particularly includes the first step of obtaining related parameters of all surface components on a satellite to be analyzed in a satellite body coordinate system, the second step of calculating the optical radiation intensity of earthlight when the included angle between a sun vector and the positive Z-axis in the satellite body coordinate system is theta EPS, the third step of establishing light path tracking of the earthlight according to the related parameters and the optical radiation intensity of the earthlight and calculating the light pressure perturbation accelerated speed a of the earthlight, the fourth step of allowing the included angle theta EPS to be different values and calculating the light pressure perturbation accelerated speed a corresponding to each included angle theta EPS, and the fifth step of establishing an earthlight light pressure perturbation model f (theta EPS) on the basis of the light pressure perturbation accelerated speed corresponding to each included angle theta EPS with the included angle theta EPS as an independent variable. Trough the method, a high-precision satellite dynamical model can be improved, and the accuracy of precise orbit determination and orbit prediction can be further improved.

The invention discloses a modeling method for a noise-uncertainty complicated nonlinear dynamic system. The method includes the steps: 1), collecting data during industrial process to acquire data (XMN, Y); and 2), calculating noise statistical value of known input data and output data by means of Gamma Test to acquire precise information of system noise. The modeling method for the noise-uncertain complicated nonlinear dynamic system has the advantages that the best ideal point for increasing production and saving energy is searched, and optimal value of technological parameters is determined; and practical production guide is performed according to the optimized optimal value of the technological parameters.

The invention provides a power amplifier behavior modeling method based on two-stage open-loop and binary function, which relates to the technical field of nonlinear system modeling and analysis applications. The modeling of nonlinear power amplifiers with memory effect can be completed with fewer parameters and no feedback path, and it provides good modeling accuracy for in-band distortion and spectrum regeneration. By improving the modeling accuracy of power amplifiers, the Reduce the interference of nonlinear noise in the system containing the power amplifier circuit to the system.

The invention discloses a storage battery modeling method based on correlation and regression analysis. A two-order RC equivalent circuit model is adopted as a battery model, correlation and regression analysis is performed on the slow dynamic characteristic of a battery, and whether the battery model is simplified or not is judged according to the analysis result. With the adoption of the two-order RC model established with the method, calculation burden caused by a high-order RC link can be reduced while the high accuracy is kept.

A multicolor printing system splitting modeling method for maximizing a color gamut comprises steps of manufacturing and printing single color step-wedges of all primary colors, determining the ultralimit threshold value of each single color ink quantity, measuring the spectrum value of each single-color step-wedge subjected to equal ratio compression and establishing a corresponding relation; splitting an original multicolor printing system into printing system submodels; performing ink color space overall sampling to obtain the sampling samples under the sprinting system submodels, and obtaining the prediction spectrum reflectivity information values by simulation; targeting at all submodels, using a convex hull algorithm to calculate to obtain the ink color space overall sampling color gamut volumes; combining K submodels and using the convex hull algorithm to obtain the color gamut volume of each combination, and locking the combination corresponding to the maximum color gamut coverage rate when the maximum color gamut coverage rate is larger than the preset threshold value, thus realizing the splitting modeling of the original printing system. The method has the technical advantages of obviously reducing the splitting modeling complexity of the system, avoiding the ink quantity ultralimit problem, improving the stability of output colors and the like.

The invention discloses a three-dimensional face modeling method and system without phase unwrapping. The method uses the phase information contained in the multi-frame striped structured light field to mark the target face surface, and the multi-frame face texture captured by the camera is used. The feature points of the face are extracted from the figure and the constraints of face geometric information are generated. The geometric information of the face is used to constrain the process of binocular stereo matching, and the truncated phase is directly used instead of the absolute phase for stereo matching to calculate the disparity map. The stereo matching method of phase unwrapping obtains a high-precision and high-reliability disparity map, and then reconstructs a three-dimensional face model. The present invention does not need to project additional projection and photograph additional structured light fields to assist phase unwrapping, effectively reduces the number of projected and photographed structured light fields required for three-dimensional face modeling, shortens modeling image acquisition time, and effectively ensures modeling accuracy.

The invention discloses a three-dimensional face modeling method and system assisted by face geometric information. The method is based on the principle of binocular stereo vision of active projection, and uses phase information contained in a multi-frame striped structured light field to perform a modeling operation on a target face surface. Mark, use the camera to obtain the modeling image, obtain the relative phase information contained in the striped structured light field based on the spatial phase unwrapping technology, and use the facial feature points as the anchor points to unify the relative phase information of the binocular camera to the same benchmark, Then phase matching is performed to obtain the disparity map, and then the 3D face model is reconstructed. This method makes full use of the position information of the facial feature points contained in the face fringe map, and performs phase unwrapping without adding an additional structured light field, effectively reducing the number of projections and shooting structured light fields required to complete the three-dimensional modeling, shortening the Modeling image acquisition time, and effectively ensure the modeling accuracy.