108results about How to "Strong tracking ability" patented technology

The invention discloses an aviation direct-current converter online fault combined prediction method based on fractional order wavelet transformation. The method includes: (1) monitoring and collecting output voltage signals of the aviation direct-current converter in real time, calculating output voltage change rate of different moments, and using the output voltage change rate as converter performance degradation parameters; (2) conducting abnormal value rejection and missing data filling on performance degradation data by using a 3 sigma method and an interpolation method; (3) conducting fractional order wavelet transformation on the performance degradation data, the performance degradation data is decomposed into subcomponents with different scales, and determining noise components and removing the noise components by calculating a combination entropy between high-frequency components and environment data; (4) building a predication model of the high-frequency components in decomposition data by using a wavelet neural network, building a prediction model of low-frequency components by using a gray neural network, and conducting time sequence prediction; and (5) stacking predication values of the high-frequency components and the lower-frequency components to obtain a final predication value, conducting performance evaluation and fault predication on the aviation direct-current converter by combining fault threshold values. The aviation direct-current converter online fault combined prediction method removes disturbances caused by environment factor fluctuation in performance degradation data, restores real performance degradation data, simultaneously decomposes the performance degradation data into different frequency subcomponents with strong regularity, predicts the subcomponents by using a combined prediction model, enables prediction risks to be dispersed, and improves online fault prediction correctness.

The invention discloses an online calibrating method of a ship-based rotary strapdown inertial navigation system. The method comprises the following steps: establishing an inertial component output error model and an inertial navigation system error equation, and researching the calibration of inertial component parameter errors and determining the quantity of state and the quantity of measuration; determining the position and weight of a cubature point according to dimension of the quantity of state, deducing a state equation and a one-step state prediction and state prediction covariance matrix related to the cubature point, and introducing a multiple time-varying fading factor modified state prediction covariance matrix; and deducing a measuring equation related to the cubature point and the fading factors, a self-correlated covariance matrix, a cross-correlated covariance matrix, a gain matrix, a state estimated value and a state error covariance estimated value, and designing a strong tracking volume Kalman filtering method with strong tracking performance and strong robustness. The method disclosed by the invention estimates the inertial component parameter errors by a filtering algorithm and carries out online calibration and compensates the inertial component parameter errors, so that the navigation precision is effectively improved. The method has strong parameter-varying robustness.

The invention provides an under-actuated AUV (autonomous underwater vehicle) three-dimensional trajectory tracking control method based on biological speed regulation. The method comprises the following steps: (1) giving expected trajectory position information by an AUV according to the current task, and obtaining current position and attitude information; (2) obtaining position and attitude error variables by use of the mathematical model of an under-actuated UUV (unmanned underwater vehicle); (3) calculating a virtual control law by a method of defining a virtual speed error variable; (4) finishing dynamic regulation of the speed error through a biological inspiration model; and (5) deducing a dynamic speed regulation controller. In the method provided by the invention, the speed error of the under-actuated AUV can be dynamically regulated, the performance of the controller is improved while the singular value of the traditional back-stepping method occurring when the heading angle error is 90 degrees is avoided, and accurate tracking of a time-varying three-dimensional trajectory is realized under external constant disturbance.

Provided is a dynamic evolution modeling method for aluminum electrolysis process electrolytic bath technology energy consumption. The method is characterized by including the following steps of step 1, collecting data [XN, Y], step 2, carrying out normalization processing on the collected data, step 3, carrying out modeling on the data after the normalization processing by strongly tracking a square root trackless Kalman neural network, and step 4, estimating an electrolysis process energy consumption value by applying an established model to obtain a technology energy consumption value of the electrolysis process at the moment. The method has the advantages that advantages of strong tracking filtering and square root filtering are combined, convergence rates of the model and tracking ability on electrolytic bath mutation states are improved, the algorithm is stable, accuracy is high, tracking ability on the electrolytic bath mutation states is strong, therefore, real time estimation on the aluminum electrolysis process electrolytic bath technology energy consumption is achieved, technology operations on the aluminum electrolysis process can be optimized, and the purposes of saving energy and reducing emission can be achieved.

The invention discloses a high energy-consuming enterprise peak regulation control method used in a new energy power generation mode. The method comprises the step of establishing a high energy-consuming load peak regulation model in the new energy power generation mode and the step of conducting analysis of multi-mode and multi-scale high energy-consuming load participation peak regulation on the basis of the established high energy-consuming load peak regulation model in the new energy power generation mode. The high energy-consuming enterprise peak regulation control method used in the new energy power generation mode can overcome the detects that in the prior art, peak regulation pressure is high, tracking capacity is weak and the energy saving effect is poor, thereby having the advantages of being low in peak regulation pressure, strong in tracking capacity and good in energy saving effect.

The invention discloses a novel lithium ion power cell SOC estimation method. The novel lithium ion power cell SOC estimation method is characterized in that a cell equivalent circuit model can be established, and the identification of the parameters of the established cell model can be carried out by adopting the least squares algorithm; according to the cell open-circuit voltage UOCV acquired by identifying the parameters according to the step one and the corresponding SOC relation, a corresponding function can be acquired by adopting a Shepherd model and a Nernst model in a combined manner, and the function is used for the matching of the UOCV and the SOC relation; the state equation and the observation equation of the SOC estimation can be established, and the STF algorithm has the strong robustness related to the model uncertainty and the extremely strong tracking capability related to the breaking state. The verification of the SOC estimation by adopting the EKF algorithm and the STF algorithm can be carried out by the constant current discharging experiment and the UDDS working condition experiment, and according to the result, the accuracy of the SOC estimation is higher by adopting the STF algorithm than adopting the EKF algorithm, and the convergence performance is better.

The invention provides an intelligent medicine cabinet system and relates to the field of intelligent medicine cabinets. The intelligent medicine cabinet system is achieved based on an intelligent medicine cabinet touch screen and an intelligent medicine cabinet lock and comprises a bar code reader, an upper computer module and a lower computer module; the intelligent medicine cabinet touch screen is used for displaying and inputting information; the bar code reader is used for reading identity data information and sending the data information to the upper computer module; the upper computer module is used for performing identity authentication and sending control instruction data, wherein the identity authentication is achieved through a medicine storage location matching library and an identity matching library which are arranged in the upper computer module; the lower computer module is used for receiving the control instruction sent out of the upper computer module and driving the intelligent medicine cabinet lock and accordingly opening, closing and early-warning of the intelligent medicine cabinet lock can be performed. The intelligent medicine cabinet system is applied to the medicine field specifically. According to the intelligent medicine cabinet system, the problems that the service efficiency is low, the security is poor, the medicine storage is lax, and the medicine information cannot be tracked timely in the existing process of traditional population register medicine storage and fetch management are solved.

An improved convex combination decorrelation proportionate self-adaption echo cancellation method comprises the steps that first, far-end signal filtering is carried out, the input vector X(n) of a convex combination self-adaption echo cancellation filter is formed by the discrete value of a far-end signal, and after filtering is carried out on the input vector, a large-step-length filtering value y1(n) and a small-step-length filtering value y2(n) are obtained; second, decorrelation operation is carried out on the input vector X(n), the result of decorrelation operation serves as the weight coefficient updating direction vector Z(n) of the convex combination self-adaption echo cancellation filter; third, convex combination is carried out, the large-step-length filtering value y1(n) and the small-step-length filtering value y2(n) are subjected to convex combination through weight lambda (n), and a combination filter value y(n) is obtained; fourth, echo cancellation is carried out, the combination filter value y(n) is subtracted from a near-end signal d(n) with an echo, and the subtracted near-end signal d(n) is fed back to the far end; fifth, a filter tap weight coefficient is updated; sixth, the weight of the filter is updated; seventh, the weight of the filter is limited; eighth, n is made to be equal to n+1, the first step to the seventh step are repeated till a conversation is over. According to the method, a high rate of convergence can be obtained, the steady state error can be small, and a good anti-jamming capability is achieved.

The present invention discloses a target relay tracking algorithm based on intelligent street lamp partners. According to the present invention, a target is detected by utilizing a deep network model, and secondly, the features of the target are extracted by utilizing another one deep model. An intelligent street lamp partner can snapshot the images of a plurality of visual angles of an object, and save the features extracted at each visual angle. A system detects the target at set intervals, and fuses a detection result and a tracking result. When the object moves out from the visual field of the current intelligent street lamp partner and enters in the visual field of the next intelligent street lamp partner, the next intelligent street lamp partner similarly detects the target and extracts the features, and the extracted features are compared with the features saved by the last intelligent street lamp partner, so that whether the detected objects are the same object can be determined, and the target relay tracking is realized.

The analog dc voltage conversion method with synchro/resolver comprises: converting the axial angle of synchro/resolver into parallel natural binary O for output; amplifying the digital angle O with FPGA PLC to increase or decrease its output step for signal amplification or minification and output to a digital-analog dc voltage converter with a DAC, a reference power and a operational amplifier to complete the conversion. This invention has high reliability while low consumption.

Discloses is an adaptive method, applied to echo cancellation, of an active factor proportional sub band. The method comprises the steps: A, dividing an adaptive echo cancellation sub band filter input vector X(n) formed by a discrete value of a far-end signal into a sub band signal X(n), B, through N extraction, obtaining an input sub band signal X(k) after the extraction and a near-end sub band signal d(k), C, obtaining a filtering value y(k) of the input sub band signal X<i(k) after the extraction via an adaptive echo cancellation sub band filter, D, sending a sub band error signal e(k), obtained through calculation, after the echo cancellation to a far end, E, obtaining a sub band filter step length u(k) through calculation of an active factor f<l>(k) and a proportional matrix G(k) by utilizing a set membership filtering algorithm, and updating a weight coefficient vector W(k), and F, enabling k to meet an expression k=k+1, and repeating A-E steps until an end of a call. The method has the advantages of the high identification ability for a sparse system of call communication, the rapid convergence speed, the low steady-state error, the high tracking capability for a jump system and the good echo cancellation effect; and the method is easy to implement.