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33results about How to "Improve search rate" patented technology

Robust controller of permanent magnet synchronous motor based on fuzzy-neural network generalized inverse and construction method thereof

The invention discloses a robust controller of a permanent magnet synchronous motor based on a fuzzy-neural network generalized inverse and a construction method thereof. The construction method of the invention comprises the following steps of: combining an internal model controller and a fuzzy-neural network generalized inverse to form a compound controlled object; serially connecting two linear transfer functions and one integrator with the fuzzy-neural network with determined parameters and weight coefficients to form the fuzzy-neural network generalized inverse, serially connecting the fuzzy-neural network generalized inverse and the compound controlled object to form a generalized pseudo-linear system, linearizing a PMSM (permanent magnet synchronous motor), and decoupling and equalizing the linearized PMSM into a second-order speed pseudo-linear subsystem and a first-order current pseudo-linear subsystem; and respectively introducing an internal-model control method in the two pseudo-linear subsystems to construct the internal model controller. The robust controller of the invention has the advantages of overcoming the dependence and local convergence of the optimal gradient method on initial values and solving the problems of randomness and probability caused by using the simple genetic algorithm, obtaining the high performance control, anti-disturbance performance and adaptability of the motor and simplifying the control difficulty, along with simple structure and high system robustness.
Owner:UONONE GRP JIANGSU ELECTRICAL CO LTD

Radar multi-target tracking optimization method based on chaotic neural network

The invention discloses a radar multi-target tracking optimization method based on the chaotic neural network. The method is mainly characterized in that state one-step prediction of a tth target at the k time, measurement prediction of the tth target at the k time, the measurement prediction information of a j'th measurement for the tth target at the k time, a one-step prediction error covariance matrix of the tth target at the k time, an information covariance matrix of the tth target at the k time, Kalman gain of the tth target at the k time, an nk*T'-dimension measurement-target association matrix at the k time, an (nk+1)*T'-dimension effective likelihood function matrix of association of nk meausurements and T' targets at the k time, an (nk+1)*T'-dimension normalization matrix of association of the nk meausurements and the T' targets at the k time, an (nk+1)*T'-dimension accurate probability matrix of association of the nk meausurements and the T' targets at the k time, a state equation of the tth target at the k time and an error covariance matrix of the tth target at the k time are sequentially calculated; the t is respectively made to be 1 to T', the error covariance matrix of the T'th targets at the k time is acquired, and real-time tracking for the T'th targets is carried out by a radar according to the error covariance matrix of the T'th targets at the k time.
Owner:XIDIAN UNIV

Method for performing interference decision by using a tabu search artificial bee colony algorithm

The invention provides a method for performing interference decision by using a tabu search artificial bee colony algorithm. The method comprises the following steps of obtaining related information parameters such as the working frequency, the received signal power and the interference pattern of the enemy radar through cognitive reconnaissance; calculating a normalization function value of eachindex corresponding to the interference benefit, calculating a weighted value, calculating a weighted sum of a one-to-one interference cost value interference benefit and an interference cost value, and obtaining a one-to-one interference benefit matrix; and performing interference decision by using a tabu search artificial bee colony algorithm to obtain an optimal solution meeting target requirements. And after searching for a certain number of times and not improving, the optimal decision scheme is added into the tabu table and a new solution beyond the range of the tabu table is generated,a preset number of times is iterated for, and the optimal decision scheme is output. The method is used for performing interference decision scheme allocation in cognitive adversarial, can reduce thenumber of iterations and increase the optimization probability, and has relatively high value and practicability.
Owner:深圳市白麓嵩天科技有限责任公司

Path planning method of surface array salient point on-demand jet printing control system

A path planning method of a surface array salient point on-demand jet printing control system belongs to the technical field of on-demand jet printing, and aims to solve the problem that at present motion path planning efficiency is low in printing of salient points. The method includes: 1. reading in data to be printed, the number of cycles k=1; 2. judging whether k is smaller than x, if yes, outputting a current calculated shortest path and distance, and if no, departing from a starting point to visit, and turning to 3; 3. moving from a current point to the next allowable selection point, using an ant colony algorithm to calculate a path, and turning to 4; 4. judging whether the next allowable selection point exists for the current point, if yes, turning to 3, and if no, turning to 5; 5. judging whether the current ant has walked through all points, if yes, calculating the length of the path, and turning to 6, and if no, setting the length of the path to be infinite, and turning to 6; 6. judging whether the acquired length of the path is the shortest among existing paths, if yes, updating the shortest path and length, and turning to 7, and if no, turning to 7; and 7. updating pheromones of each side on the shortest path, plus 1 to k, and turning to 2. The path planning method of the surface array salient point on-demand jet-printing control system is used for surface array salient point printing.
Owner:HARBIN INST OF TECH

Relay charging path planning method and system for small unmanned aerial vehicle

The embodiment of the invention provides a relay charging path planning method and system for a small unmanned aerial vehicle. The method comprises the following steps: according to a heuristic valueof pheromone concentration between adjacent target points, a heuristic value of a path distance between the adjacent target points and a heuristic value of a time window of the adjacent target pointsin an ant colony algorithm, establishing an initial path by utilizing an adjacent point search algorithm; inserting a charging station into the initial path according to the maximum endurance mileageof an unmanned aerial vehicle to form an initial charging path; and determining a final charging path by performing removal operator optimization and insertion operator optimization on the initial charging path. According to the technical scheme, an optimal charging station insertion heuristic algorithm is designed in consideration of selection of the charging station and determination of the charging level; and in view of the complexity of the problem, a local search algorithm is introduced, the search space in the ant colony algorithm iteration process is expanded, and the search probabilityof the optimal solution is increased.
Owner:NAT UNIV OF DEFENSE TECH

Interference decision-making method based on directional mutation search artificial bee colony algorithm

The invention relates to an interference decision-making method based on a directional mutation search artificial bee colony algorithm, and the method comprises the steps: firstly carrying out the one-to-one evaluation of a jammer and a radar through the five aspects of time, space, power, frequency and interference pattern, and constructing an interference benefit matrix Bij through the benefit values obtained through the evaluation; secondly, performing threat level evaluation pj on the radar according to the working state of the radar, the radar system and the actual combat mission of the radar through a front reconnaissance plane; constructing a radar interference decision model and a target function by using the interference benefit matrix, the radar threat level and the constraint condition; and finally, performing solving through an artificial bee colony algorithm based on directional mutation search to obtain an optimal distribution scheme and an interference income value; and then issuing tasks to all jammers according to the optimal scheme. The method is suitable for interference resource task allocation under the condition that the multiple jammers cooperatively interfere with the networking radar, the number of iterations is reduced, meanwhile, the average profit value is larger, the optimization searching probability is improved, and the practicability is very high.
Owner:HARBIN ENG UNIV

Method for meeting e-commerce scenarized search based on graph database technology

The invention discloses a method for satisfying e-commerce scenarized search based on a graph database technology. The method comprises the following steps of constructing a structured data model; structured processing being carried out on the attribute of each commodity; adding the common associated scene word information; knowledge graph searching; collecting and counting data; regularly updating and associating the scene, extracting a relative structured form from the commodity information according to the brand information of the current commodity, and constructing a structured data model.According to the method, different modes of searching are carried out on the commodity, difficulty of searching the commodity by a consumer is reduced, the consumption experience of purchasing the commodity by the consumer is improved, the purchase rate and the purchase rate of the commodity in the e-commerce platform are increased by carrying out rapid searching on the commodity in multiple modes, the search rate of commodity search is improved, and the user experience is improved; the commodity search result-free rate is reduced, the selling rate of the e-commerce platform is increased, theoperating profit of the e-commerce platform is ensured, and a good commodity optimization search effect is achieved.
Owner:上海适享文化传播有限公司

A car comparative analysis system based on big data

The invention discloses an automobile comparative analysis system based on big data, relates to the technical field of automobile analysis, and solves the technical problem that the search accuracy is not high and the advantages of big data cannot be fully utilized in the process of vehicle analysis and search; the invention sets a business terminal module, which includes public terminal units and private terminal units. The business terminal module separates the public from the private, which not only ensures the accuracy of the comparison between public terminal units and vehicles, but also avoids the cumbersome process of comparing private terminal units with vehicles, which helps to improve The working efficiency of the present invention; the present invention is provided with comparative analysis module, and this setting is used for analyzing primary selection vehicle, and comparative analysis module analyzes vehicle feature information sequentially, and each step in the analysis process all generates corresponding analysis result, has guaranteed The business terminal module can obtain accurate comparison results; the present invention sets a passer-by bounty module, which fully utilizes the advantages of big data and helps to improve the search rate of vehicles.
Owner:中关村科技租赁股份有限公司

Test data compression method capable of rapidly searching irrational number

The invention discloses a test data compression method capable of rapidly searching an irrational number. The test data compression method comprises the following steps of: generating a determined complete test set T and marking the number of test vectors of the complete test set to be N; marking cascading of all test vectors to be S and the length of cascading to be w; calculating the length of runs and ending till reaching an irrelevant position and converting the length information of runs into a decimal x for representing; searching the irrational number and expanding the irrational number to a decimal, wherein the front p items of the decimal are just equal to x, and only integers, namely m, n, l, k and p are stored in the compression process. The test data compression method disclosed by the invention has the advantages that methods of first searching the irrational number and then carrying out bit-by-bit comparison are adopted in the irrelevant bit filling process, and thus the selectivity of the irrational number and the probability of searching the irrational number are increased; and according to the test data compression method, an interval bisection method is adopted in the irrational number searching process, and therefore the operating time can be prolonged according to a logarithm rule.
Owner:詹文法

Optimal method for radar multi-target tracking based on chaotic neural network

The invention discloses a radar multi-target tracking optimization method based on the chaotic neural network. The method is mainly characterized in that state one-step prediction of a tth target at the k time, measurement prediction of the tth target at the k time, the measurement prediction information of a j'th measurement for the tth target at the k time, a one-step prediction error covariance matrix of the tth target at the k time, an information covariance matrix of the tth target at the k time, Kalman gain of the tth target at the k time, an nk*T'-dimension measurement-target association matrix at the k time, an (nk+1)*T'-dimension effective likelihood function matrix of association of nk meausurements and T' targets at the k time, an (nk+1)*T'-dimension normalization matrix of association of the nk meausurements and the T' targets at the k time, an (nk+1)*T'-dimension accurate probability matrix of association of the nk meausurements and the T' targets at the k time, a state equation of the tth target at the k time and an error covariance matrix of the tth target at the k time are sequentially calculated; the t is respectively made to be 1 to T', the error covariance matrix of the T'th targets at the k time is acquired, and real-time tracking for the T'th targets is carried out by a radar according to the error covariance matrix of the T'th targets at the k time.
Owner:XIDIAN UNIV

Robust controller of permanent magnet synchronous motor based on fuzzy-neural network generalized inverse and construction method thereof

The invention discloses a robust controller of a permanent magnet synchronous motor based on a fuzzy-neural network generalized inverse and a construction method thereof. The construction method of the invention comprises the following steps of: combining an internal model controller and a fuzzy-neural network generalized inverse to form a compound controlled object; serially connecting two linear transfer functions and one integrator with the fuzzy-neural network with determined parameters and weight coefficients to form the fuzzy-neural network generalized inverse, serially connecting the fuzzy-neural network generalized inverse and the compound controlled object to form a generalized pseudo-linear system, linearizing a PMSM (permanent magnet synchronous motor), and decoupling and equalizing the linearized PMSM into a second-order speed pseudo-linear subsystem and a first-order current pseudo-linear subsystem; and respectively introducing an internal-model control method in the two pseudo-linear subsystems to construct the internal model controller. The robust controller of the invention has the advantages of overcoming the dependence and local convergence of the optimal gradient method on initial values and solving the problems of randomness and probability caused by using the simple genetic algorithm, obtaining the high performance control, anti-disturbance performance andadaptability of the motor and simplifying the control difficulty, along with simple structure and high system robustness.
Owner:UONONE GRP JIANGSU ELECTRICAL CO LTD
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