17 results about "Accurate estimation" patented technology

This invention discloses a method for estimating the speed and position of a permanent magnet synchronous motor (PMSM) based on a third-order switched extended state observer. Specifically, based on the mathematical model of the PMSM, a back-EMF observer based on a sliding mode observer is constructed to obtain the estimated back-EMF. Further, the estimated back-EMF signal is processed using a low-pass filter and amplitude normalization. The processed back-EMF is then used as the input signal to a position estimation scheme based on the third-order switched extended state observer, achieving accurate estimation of the PMSM's speed and position under different operating conditions. This invention is simple in principle and easy to implement. It combines the advantages of both third-order linear and third-order nonlinear extended state observers, improving estimation accuracy and dynamic performance while reducing the adverse effects of noise on the estimation scheme. This solves the technical problems of low estimation accuracy, high noise sensitivity, and difficulty in parameter tuning in existing estimation schemes.

This invention discloses a method for estimating atmospheric errors in bistatic satellite-to-ground radar target detection using high- and low-frequency joint reception. The method first obtains a large-scale atmospheric delay estimate through multi-source data fusion and ray path integration to achieve coarse compensation; then, it extracts the residual atmospheric phase based on echo self-calibration to achieve fine compensation; finally, it combines high- and low-frequency constraints to achieve phase deambiguity and extract the absolute total atmospheric delay. From global modeling to local correction and cross-band consistency, it achieves accurate estimation of atmospheric delay errors along the propagation path.

The application provides a two-dimensional DOA estimation method for arbitrary array single-base MIMO radar based on data rearrangement, and relates to the technical field of array sensor direction finding. The rank structure of a coherent signal covariance matrix is recovered by rearranging a received data matrix through arbitrary array element positions of a transmitting array and a receiving array; S2: eigenvalue decomposition is performed on the signal covariance matrix to obtain a signal subspace; S3: reliable rough estimation is obtained through rotation invariance; S4: an integer ambiguity vector corresponding to spatial phase ambiguity caused by array element spacing greater than half a wavelength is solved; S5: the phase of an array flow pattern with phase ambiguity is compensated, and an accurate estimation value of the 2D-DOA of the target is calculated; the high-precision 2D-DOA estimation problem in a complex scene of a coherent signal source, arbitrary array geometry and phase ambiguity caused by part of array element spacing greater than half a wavelength is solved, unambiguous and high-precision angle parameter estimation is realized, and the estimation accuracy and algorithm reliability are improved.

To accurately estimate the productivity of aircraft operators. [Solution] This is a program to be executed by a computer equipped with a processor and memory. The program causes the processor to perform the following steps: acquire first information that stores the timing at which the first pesticide spraying by the aircraft on the first field is completed; calculate an estimated value for the aircraft operator's work performance related to the first pesticide spraying for each predetermined unit based on the first information, second information about the first field, and third information about the aircraft; calculate a parameter for evaluating the operator's productivity by solving a relationship equation between the estimated value created for each predetermined unit and the time required for the work related to the first pesticide spraying on the day corresponding to the estimated value; and store the parameter.

This application provides a quality estimation method and terminal based on multi-temporal and spatiotemporal environments. It includes: acquiring multi-dimensional data of a target object; constructing a multi-temporal and spatiotemporal environment prior model based on the spatiotemporal correlation features in the multi-dimensional data; and outputting the prior quality of the target object; acquiring a reference quality; calibrating the multi-temporal and spatiotemporal environment prior model using the prior quality and the reference quality; and acquiring real-time multi-dimensional data of the target object; and outputting the real-time quality of the target object based on the calibrated multi-temporal and spatiotemporal environment prior model and the real-time multi-dimensional data. This invention achieves real-time and accurate estimation of the quality of target objects in complex environments. By combining multi-temporal and spatiotemporal correlation feature fusion with closed-loop calibration of measured data, it effectively improves the estimation accuracy and long-term stability.

The application discloses a SAR motion parameter estimation method based on accurate measurement of time of arrival and direction of arrival, which comprises the following steps: reading N LFM direction of arrival alpha n and corresponding measurement value of time of arrival t n , performing cubic polynomial fitting on the line of sight angle alpha n by using a least square method to smooth measurement error; performing quadratic polynomial fitting on the time of arrival t n by using a least square method to obtain a linear term coefficient p1 and a quadratic term coefficient p2; obtaining a radar pulse repetition interval T by using a statistical pulse time of arrival difference; updating a detection pulse serial number n; solving a radar initial distance r0; and solving a radar flight speed v and a flight direction beta by using the initial distance r0, the direction of arrival alpha n and the time of arrival t n . The application has the characteristic that a signal waveform of a SAR emission is synthesized with an LFM pulse, accurate estimation of SAR motion parameters is realized, the variation rate parameter of the line of sight angle is avoided, and the robustness of the algorithm is improved and the requirement for the direction finding accuracy is reduced.

The application provides a long and narrow reservoir water surface evaporation accurate estimation method and system and a storage medium, wherein the long and narrow reservoir water surface evaporation accurate estimation method comprises collecting and preprocessing meteorological element data sets, hydrological element data sets and reservoir basic geographic data sets in the reservoir range, and establishing a reservoir gridded data set; based on the reservoir gridded data set, the daily average wind direction data of each pixel of a single reservoir is divided into 16 quantile wind directions; according to the wind direction frequency weight and the wind speed influence weight in each quantile wind direction, a dominant wind direction spatial weighting function is constructed, and the daily scale dominant wind direction of the reservoir is calculated; the application avoids the systematic error caused by the shape mismatch of the mean method in the long and narrow reservoir scene, and provides support for the accurate estimation of the long and narrow reservoir water surface evaporation.

The application provides a data chain-based distributed inertial base relative navigation method and relates to the technical field of navigation; first, a relative navigation error state equation based on speed error reconstruction is used to eliminate the high-frequency changing specific force term, thereby reducing the dependence on the sharing of inertial navigation data between nodes; second, an efficient information fusion method is designed to reduce the calculation complexity of the overall method; finally, an equivalent GNSS measurement for rapidly diffusing high-precision absolute navigation information is designed; the application can realize accurate estimation of the relative state of the cluster nodes and rapid coverage of the absolute information; through simulation experiments, the cluster nodes only need to share their inertial navigation data at a second-level interval to realize high-precision group inertial navigation error state propagation.

The application discloses a distortion towed array array delay vector accurate estimation method and system, comprising: a line spectrum-based inter-element phase difference weighted least square delay difference estimation method, rough estimation of inter-element delay difference is obtained; taking the rough estimation of inter-element delay difference as an observation sequence, based on the characteristics that the inter-element delay difference changes continuously and slowly in time and space dimensions, a space-time two-dimensional hidden Markov model is constructed; the space-time two-dimensional hidden Markov model is solved, the state sequence corresponding to the maximum posterior probability is calculated, and the state sequence is mapped into a physical delay value, so that the accurate estimation of the array delay vector is obtained. The application fully utilizes the continuous and slow change characteristics of the inter-element delay difference of the multi-line spectrum component of the ship radiation noise in time and space dimensions, carries out space-time-frequency joint processing on the inter-element delay difference of the line spectrum, and significantly improves the estimation accuracy of the distortion towed array array delay vector under the condition that the line spectrum is less and the signal-to-noise ratio is low.

The application discloses a kind of based on intermediate observer's integrated energy system distributed fault-tolerant control method, it is related to integrated energy system collaborative control and safe operation technical field.The application establishes integrated energy system unified dynamics model containing concurrent fault and external disturbance, and then constructs singular augmented system and introduces intermediate variable design distributed intermediate observer, avoids the strict observer matching condition required by traditional observer, realizes the joint accurate estimation of system state and sensor, concurrent fault of actuator;Then, design the compound fault-tolerant control law containing feedforward compensation term and active fault cancellation term;Subsequently, combined with unilateral Lipschitz condition and singular value decomposition technology, the robust stability condition of closed-loop system is converted into linear matrix inequality condition for solving, and the observer and controller gain are obtained;Finally, the gain obtained is configured in each energy subnetwork node, and online active fault-tolerant control of integrated energy system is realized.

The application belongs to the technical field of millimeter wave radar. The application provides a millimeter wave radar room boundary robust geometric reconstruction method for multipath suppression. The embodiments of the present disclosure realize stable extraction of the real wall structure, effectively suppress the multipath echo and outlier point interference, and complete room boundary reconstruction and size accurate estimation by combining geometric constraints through antenna calibration, construction of a spatial point cloud geometric model, introduction of a robust straight line fitting and sequential model separation strategy. Through the sequential fusion and sequential robust geometric fitting strategy, the room wall boundary can be stably and accurately extracted, and the real wall and false echo can be effectively separated. In terms of wall detection integrity, anti-outlier point capability and size estimation accuracy, the embodiments of the present disclosure have obvious advantages, the room length and width estimation error is low, the boundary recognition success rate is significantly improved, and the embodiments of the present disclosure have good robustness and engineering applicability.

The method comprises the following steps: establishing a DC charging station-pile metering operation error mathematical model; determining the upper and lower boundary constraints of the metering operation error and the AC / DC conversion efficiency according to the charging pile type and the power consumption information, and constructing an optimization model with boundary constraints; solving the constructed optimization model by using the primal-dual interior point method to obtain the estimated value of the metering operation error of each charging pile; and identifying abnormal charging piles based on the estimated results, thereby realizing the transformation from periodic batch detection to abnormal directional detection. The method is based on the existing metering data in the charging station, and by constructing a constraint optimization model and using an efficient algorithm for solving, the accurate estimation and abnormal identification of the metering operation error of the operating charging pile are realized, without the need for external load equipment, without disturbing the normal charging operation, and supporting the transformation of the metering detection mode from "periodic batch" to "abnormal directional".

This invention provides a bearing life prediction method based on improved polarization self-attention optimization, belonging to the field of feature extraction and prediction. The method includes the following steps: S1, constructing a gated recurrent unit model based on a polarization self-attention mechanism; S2, constructing a gated recurrent unit model optimized based on a time-related polarization self-attention mechanism; S3, optimizing and training the parameters of the gated recurrent unit model, and then testing the model by inputting the test set data of the bearing dataset into the trained gated recurrent unit model for deep feature extraction; S4, based on the deep feature extraction, constructing a deep interactive model to achieve accurate estimation and uncertainty quantification of the bearing's remaining life. The method of this invention can extract deep degradation features from long-term series data and enhance the ability to capture early information of the sequence by introducing a time weighting factor, thus accurately predicting the bearing's remaining life.

The application discloses a snowmelt runoff estimation method and system at a basin scale, an electronic device and a storage medium, and relates to the technical field of snowmelt runoff estimation. The method comprises the following steps: collecting reanalysis meteorological data, remote sensing snow monitoring data and digital elevation model data in a target basin range, and preprocessing to generate a basin-scale surface average data sequence; dividing the target basin range into a plurality of calculation units; determining a critical temperature threshold of the entire basin based on the response relationship between the basin average snow cover rate and the basin average air temperature; identifying the overall snowmelt period of the basin based on the comparison between the basin average air temperature and the critical temperature threshold, combined with the change of the basin average snow cover rate; performing the improved degree-day factor method on each calculation unit in parallel to calculate the snowmelt rate; and performing confluence calculation on the runoff formed by the snowmelt rate of each calculation unit to output the snowmelt runoff of the outlet section of the basin. The application realizes dynamic and accurate estimation of the snowmelt runoff of the basin, and significantly improves the simulation accuracy and practicality.

A system and a method are disclosed for enabling accurate estimation of a location of a water vessel. In an embodiment, a rescue system transmits a Short Message Service (SMS) message to a user device on the water vessel, the SMS message comprising a selectable option that, when selected, causes a location of the user device to be shared. Based on a selection by a user of the user device of the selectable option, the system receives a plurality of location coordinates from the user device at a plurality of respective times, each respective location coordinate describing a respective location of the user device at its respective time. The system computes an estimated location of the water vessel based on the plurality of location coordinates and an elapsed time between a current time and a time at which a last-received location coordinate was received. The system transmits the estimated location to a responder device. 1 20 25 20 01 45 09 J an 2 02 5 3 7 4 2 5 - 4 6 6 3 0 / W O 2 0 2 5 2 0 0 1 4 5 0 9 J a n 2 0 2 5

This invention relates to the field of neural computing technology and discloses a method for steady-state adjustment of a neural computing model with dynamic quantization feedback. The method includes: constructing an error dynamics model integrating cross-node and dimensional topological features; acquiring real-time state errors and generating stepped values ​​using an asymmetric quantization operator with dynamic hysteresis, wherein the dynamic hysteresis threshold shifts asymmetrically with dimensional topological traction; establishing a mapping relationship between convergence time and model parameters through gamma function-based estimation logic to determine the time window; calculating adaptive gain and generating a smoothing adjustment signal to offset threshold jumps and guide the response system convergence. This invention eliminates distortion caused by missing dimensional coupling, achieves accurate estimation of convergence time, effectively suppresses control oscillations, and improves the state evolution accuracy of the computing model when processing high-dimensional data.