12 results about "Error coefficient" patented technology

This invention discloses a method for improving the accuracy of inertial guidance based on polynomial recursive least squares, comprising: constructing a guidance tool error model based on the difference between inertial guidance telemetry observations and a flight environment function, wherein the guidance tool error model satisfies a linear relationship; constructing a recursive formula based on polynomial recursive least squares based on the guidance tool error model; determining the estimated value of the guidance tool error coefficient at the current recursive time based on the difference between guidance telemetry observations at the current recursive time and the recursive formula of least squares, and using the estimated value of the guidance tool error coefficient to compensate for the guidance telemetry observations at the current recursive time. This invention can significantly improve estimation accuracy and efficiency, and has a wider range of applications and higher engineering value.

The invention discloses a noise and non-ideal calibration-based uncertainty hybrid propagation model construction method, which comprises the following steps of: determining two uncertainty sources of noise and a non-ideal calibration standard, namely the uncertainty of the noise and a self-defined value of the non-ideal calibration standard in a measurement system; determining an error model and a calibration method, measuring system noise according to a calibration standard required by the calibration method and spreading the system noise to a measurement value, and calculating uncertainty of a non-ideal calibration standard; jointly coupling the non-ideal calibration standard uncertainty and the measured value uncertainty caused by the noise to an error coefficient obtained by solving through an error model to obtain an error term; and re-coupling the synthetic uncertainty carried by the error term and the noise in the measurement of the to-be-measured device through an error model, and jointly transmitting to a final calibrated scattering parameter result.

The present application relates to thyristor testing technical field, specifically to a kind of thyristor impact resistance test method and system.The method includes the following steps: obtaining zero-crossing signal monitoring moment and driving signal monitoring moment, obtain the delay length of each relay control, and synchronously obtain the environmental monitoring data of monitoring moment;Based on the delay length calculation time extension error coefficient, based on environmental monitoring data calculation environmental error coefficient, and form coefficient vector;Collect all coefficient vectors, calculate the time delay controllable coefficient of each relay control, construct two-dimensional sample space, calculate the error influence performance corresponding to different time delay;Statistical analysis is carried out to the error influence performance data of all thyristor elements, and the threshold of error influence performance is determined;The error influence performance of each monitoring moment is compared with error influence performance threshold, and the impact resistance of thyristor element is evaluated.The present application realizes the accuracy of the accuracy of the accuracy of the accuracy of the accuracy of the accuracy of the accuracy of the accuracy of the accuracy of the accuracy of the accuracy of the accuracy of the accuracy of the accuracy of the accuracy of the accuracy of the accuracy of the accuracy of the accuracy of the accuracy of the accuracy of the accuracy of the accuracy of the accuracy of the accuracy of the accuracy of the accuracy of the accuracy of the accuracy of the accuracy of the accuracy of the accuracy of the accuracy of the accuracy of the accuracy of the accuracy of the accuracy of the accuracy of the accuracy of the accuracy of the accuracy of the accuracy of the accuracy of the accuracy of the accuracy of the accuracy of the accuracy of the accuracy of the accuracy of the accuracy of the accuracy of the accuracy of the accuracy of the accuracy of the accuracy of the accuracy of the accuracy of the accuracy of the accuracy of the accuracy of the accuracy of the accuracy of the accuracy of the accuracy of the accuracy of the accuracy of the accuracy of the accuracy of the accuracy of the accuracy of the accuracy of the accuracy of the accuracy of the accuracy of the accuracy of the accuracy of the accuracy of the accuracy of the accuracy of the accuracy of the accuracy of the accuracy of the accuracy of the accuracy of the accuracy of the accuracy of the accuracy of the accuracy of the accuracy of the accuracy of the accuracy of the accuracy of the accuracy of the accuracy of the accuracy of the accuracy of the accuracy of the accuracy of the accuracy of the accuracy of the accuracy of the accuracy of the accuracy of the accuracy of the accuracy of

This invention discloses a method for processing error data of smart energy meters based on edge computing, belonging to the technical field of error data processing methods. The invention includes: S1, calculating the mean and standard deviation of the total energy increment sequence within a sliding window, defining a first-order autoregressive hysteresis correction term, setting an adaptive threshold, defining the state machine system state, and finding the computer increment sequence during inactive periods by constructing an inactive period criterion; S2, storing the filtered effective data increments, calculating the energy increment of each sub-meter, defining a continuous zero increment detection function, collecting effective rearranged data points by setting the meter failure detection window and parameters, and constructing an observation matrix X and an observation vector Y; S3, using an improved genetic optimization algorithm framework, calculating eigenvalues ​​and condition numbers, and iteratively obtaining optimal and distinct individuals; S4, determining the optimal regularization parameters using the L-curve method, and calculating the error coefficients of each energy meter using improved Tikhonov regularization.

A self-calibration method for frame non-orthogonality error and accelerometer error in a dual-axis frame inertial system is proposed. Under static base conditions, the platform is locked at 10 frame angular positions, accelerometer measurements are collected, and the specific force measurement of the inertial system in the platform coordinate system at each locked position is calculated. The attitude matrix of the inertial system from the platform coordinate system to the local horizontal coordinate system at each locked position is also calculated, yielding the acceleration of the inertial system in the local horizontal coordinate system at each locked position, which is used as the error observation. The residuals of the error coefficients are calculated using a total least squares algorithm, and the estimated values ​​of the measured parameters are corrected. Iterative calculations are performed until the iterative convergence criterion is met, obtaining the self-calibration results for each error coefficient. Through the self-calibration and compensation of the error coefficients, the accuracy of attitude measurement of the dual-axis frame inertial system carrier or base affected by the non-orthogonality error of the axis system can be improved.

The invention provides a direct current buck converter constant value steady-state error convergence control method and device. The method comprises the following steps: acquiring the input voltage, the output voltage and the inductive current of each stage of direct current buck converter; setting a corresponding output voltage target value, an error coefficient and a convergence factor; calculating an error function of each stage according to a difference value between an output voltage target value and an actual output voltage in combination with an error coefficient; carrying out convergence operation on the error function to enable the error function to converge in finite time; calculating an actual voltage gain according to the result of the convergence operation in combination with the dynamic change of the input voltage and the inductive current; and comparing the actual voltage gain serving as a modulation signal with a carrier wave to generate a pulse width modulation signal, and driving a power switch tube of the direct-current buck converter with the corresponding series. Based on the method, the invention further provides a control device. According to the invention, the change of the output voltage of the DC buck converter in the error convergence approximation process can be dynamically compensated, and a good control effect is realized.

This invention discloses a method for improving the accuracy of inertial guidance based on the least squares method, comprising: constructing a recursive formula for the least squares method according to the guidance tool error model; and applying the difference y between k-dimensional guidance telemetry observations at the current recursive time in real time. n+ 1. Combining the recursive formula of the least squares method, the estimated value of the guidance tool error coefficient at the current recursive time is determined. This estimated value is then used to compensate for the k-dimensional guidance telemetry observations at the current recursive time. The specific method for constructing the recursive formula of the least squares method includes: determining the value of the constant p. When the constant p is used as the iteration number, the recursive formula of the least squares method is an iterative recursive least squares recursive formula; when the constant p is used as the order, the recursive formula of the least squares method is a polynomial recursive least squares recursive formula. This invention can significantly improve the estimation accuracy and has a wider range of applications and higher engineering value.

This invention relates to the field of electric drive system design and development for new energy vehicles, specifically to a method for testing and analyzing the dynamic stiffness of electric drive assembly mounts and the accuracy of simulation. The method involves standardized frequency response testing of the electric drive assembly mounts, identification of minimum dynamic stiffness, and the construction of a dynamic simulation model consistent with the test boundaries to extract the minimum dynamic stiffness on the simulation side. Then, it sequentially performs frequency and amplitude error analysis of the minimum dynamic stiffness points in the tests and simulations, as well as average dynamic stiffness error analysis. Finally, it comprehensively calculates accuracy performance coefficients based on multi-dimensional error coefficients and establishes a scoring system to achieve a quantitative evaluation of the test and simulation accuracy. This method solves the technical problems in existing technologies where evaluating the dynamic stiffness of electric drive assembly mounts requires multiple physical impact tests, which are resource-intensive, time-consuming, and lack a systematic and quantitative analysis method for testing and quantifying the accuracy of mount dynamic stiffness, thus failing to utilize the preliminary analysis results to guide subsequent mount design and development.

The invention provides a coal feeder weight intelligent conveying method and system based on environment self-adaption and dynamic verification, and relates to the technical field of thermal power plant coal feeder verification. S1, belt operation state parameters, weighing basic parameters and environment interference parameters are synchronously collected through sensor assemblies deployed on the A / B side of a coal feeder; carrying out anti-interference preprocessing by adopting a Kalman filtering algorithm, and outputting an effective parameter set P; and S2, dynamically adjusting the operation state of the weight conveying device according to the effective parameter set P, and obtaining the coordinates of the weight and the belt weigher through visual positioning. Through the cooperation of the above structures, compared with the existing method, the method has the following beneficial effects that the forgetting factor and the error coefficient of the RLS algorithm are dynamically adjusted by adopting environmental parameters, dynamic errors caused by belt speed and acceleration fluctuation are compensated in real time, and the influence of belt dynamic fluctuation and environmental interference on the verification precision can be effectively overcome.

The invention relates to the technical field of digital multimeter systems, in particular to a high-precision digital multimeter system based on man-machine interaction, which comprises a primary error analysis module, a secondary error analysis module and a computer module, the first-level error analysis module calculates a first-level error function according to the first-level error coefficient, obtains first-level error information according to the first-level error function and transmits the first-level error information to the computer module; the second-level error analysis module calculates a second-level error function according to the second-level error coefficient, obtains second-level error information according to the second-level error function and transmits the second-level error information to the computer module; and the computer module transmits the first-level error information and the second-level error information to the client. The information with larger or smaller first-level errors and second-level errors can be obtained, and technicians in the field can make corresponding adjustment according to the information, so that the detection precision of the digital multimeter system is improved.

This invention provides a CVT error calculation method and medium based on ALS-MLE, belonging to the field of power measurement technology. It aims to solve the problem of voltage measurement accuracy being affected by the non-steady-state characteristics of CVTs in power systems caused by temperature, humidity, and load changes, resulting in ratio and angle difference errors. This invention employs a hybrid algorithm combining ALS and MLE for online monitoring and calculation of CVT errors. First, secondary terminal voltage measurement data of the CVT at multiple time points are collected, and the amplitude and phase information are analyzed. Based on the log-likelihood function, maximum likelihood function estimation is used, combined with iterative optimization using ALS to solve for the CVT error parameters. Finally, based on the solution results, the amplitude and phase errors of the CVT are simultaneously corrected to adapt to dynamic error changes during operation. This invention can effectively estimate the error coefficients in capacitive voltage transformers and correct errors, thereby improving the accuracy of online voltage monitoring.

The embodiment of the application discloses a hemispherical resonator gyro error force compensation method and device. The method comprises the following steps: in the force balance mode, using electrostatic driving force, electrostatic feedback force, quasi-orthogonal control force and virtual Coriolis force, completing self-excitation of the gyro error; according to the proportional relationship between the electrostatic driving force and the electrostatic feedback force, obtaining the HRG error evolution model of the sensitive angular velocity information, obtaining the rate HRG scale factor and the zero bias error parameter; according to the relationship between the scale factor and the zero bias error parameter and the non-equal damping error coefficient, obtaining the non-equal damping error coefficient; according to the non-equal damping error coefficient, generating electrostatic compensation force through the self-excitation control module, and acting on the x x-axis and y-axis directions, completing the gyro error force compensation. The application solves the problem that the existing gyro needs to be recalibrated before each use and the test environment and the actual use environment are different, which seriously affects the gyro reaction speed and leads to low gyro angular velocity output precision, and achieves the technical effect of improving the gyro angular velocity output precision.