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32 results about "Fuzzy object" patented technology

Method, Apparatus and Computer Program Product for Automatic Segmenting of Cardiac Chambers

A method, apparatus and computer program product for machine-based segmentation of the cardiac chambers in a four-dimensional magnetic resonance image data that contains at least short-axis cine sequences. The segmenting is based on temporal variations in the data set and on features extracted from the image data. In particular, the method and apparatus process the image data to automatically segment an endocard based on fuzzy object extraction and to automatically segment an epicard through finding a radial minimum cost with dynamic sign definition and tissue classification. In addition, image data is preferably preprocessed to eliminate high local image variances and inhomogeneity. The image data is also preferably processed to identify positions of a base slice, an apex slice, an end-diastole, an end-systole and an LVRV connection.
Owner:PIE MEDICAL IMAGING

Fuzzy edge detection method based on object cloud

InactiveCN101286233ABoth detection and considerationMake up for the randomness problem of uncertain boundaryImage analysisObject basedFuzzy edge detection
The invention requests to protect a fuzzy edge detection method based on object clouds, which relates to a digital image processing technology. The method integrates the fuzzy set theory and the cloud theory to be applied in the image edge detection and designs a high efficient detection method which is applicable to the images, the object clouds are generated based on the gray features, a fuzzy object in the image is represented as the form of a could cluster, a normal cloud generator realizes the mapping of the image space and the cloud space, the cloud computing realizes the obtainment of the boundary cloud cluster and the digital features thereof, and the self-adaptive edge transition region processing is carried out according to the maximum fuzzy entropy principle; the method keeps the edge information of a great number of low gray values in the image, thus making up the shortcomings of the algorithm based on the fuzzy set theory to a great degree, taking into account of the problem of the randomness of uncertain boundary and being able to obtain good detection effect from the application in the multi-spectral image.
Owner:CHONGQING UNIV OF POSTS & TELECOMM

Liver-clearing and vision-improving boxthorn leaf traditional Chinese medicine tea and preparation method thereof

InactiveCN103007035ASolve the shortcomings of poor taste and fragileGreat tasteSenses disorderDigestive systemLiver and kidneyThirst
The invention discloses a liver-clearing and vision-improving boxthorn leaf traditional Chinese medicine tea. The traditional Chinese medicine tea comprises the following raw material medicines in parts by weight: 10-30 parts of boxthorn leaf, 10-20 parts of polygonum cuspidatum, 10-20 parts of Chinese angelica, 10-20 parts of jasmine, 10-20 parts of radix ophiopogonis, 10-20 parts of codonopsis pilosula, 10-20 parts of schisandra chinensis, 10-20 parts of radix polygonati officinalis, 10-20 parts of cuscuta chinensis, 10-20 parts of wolfberry fruit, 10-20 parts of prepared rhizome of rehmannia, 10-20 parts of prepared fleece flower root, 10-20 parts of eucommia ulmoides, 10-20 parts of glossy privet fruit, 10-20 parts of rhizoma polygonati, 10-20 parts of white paeony root and 10-20 parts of semen cassiae. The boxthorn leaf is cool in nature, bitter in taste and non-toxic and has the effects of tonifying deficiency, replenishing vital essence, clearing away heat, quenching thirst, dispelling the wind, improving the vision, treating hot eyes and pain, treating heat toxin sore and the like, and by adopting a modern process, the boxthorn leaf tea making is systematically researched, the prepared boxthorn leaf tea is good in mouthfeel and high in aroma, does not have green odor and can be accepted by consumers. For the boxthorn leaf tea, traditional Chinese medicines with the effects of nourishing liver and kidney and mild in nature and flavor are added, and the tea has obvious effects on dry and unsmooth eyes and unclear and fuzzy object observation caused by liver-kidney deficiency and excessive eyes.
Owner:QINGHAI ZIBOKAI BIOLOGICAL PROD

System and method for recovering three-dimensional particle systems from two-dimensional images

A system and method for recovering three-dimensional (3D) particle systems from two-dimensional (2D) images are provided. The system and method of the present invention provide for identifying a fuzzy object in a two-dimensional (2D) image; selecting a particle system from a plurality of predetermined particle systems, the selected particle system relating to a predefined fuzzy object; generating at least one particle of the selected particle system; simulating the at least one particle to update states of the at least one particle; rendering the selected particle system; comparing the rendered particle system to the identified fuzzy object in the 2D image; and storing the selected particle system if the comparison result is within an acceptable threshold, wherein the stored particle system represents the recovered geometry of the fuzzy object.
Owner:THOMSON LICENSING SA

Personalized recommendation method based on fuzzy object language concept lattices

ActiveCN111597217ARealize visualizationSolve the shortcomings of vague recommendation explanationsDigital data information retrievalEnergy efficient computingPersonalizationData set
The invention discloses a personalized recommendation method based on a fuzzy object language concept lattice, which can solve the problems of fuzzy recommendation interpretation and cold start and avoid information loss, and comprises the following steps: data processing: initializing a collected training data set into a fuzzy object language form background; constructing fuzzy object language concepts and concept lattices; calculating evaluation differences between the to-be-recommended user and other users; performing preliminary processing on the training data set according to the evaluation difference; constructing a cognitive system of the training data set; constructing a sufficient knowledge base and a fuzzy object language knowledge simulation lattice of the training data set; constructing a necessary knowledge base and a fuzzy object language knowledge simulation lattice of the training data set; calculating a frequent fuzzy object language concept or frequent fuzzy object language knowledge; calculating a fuzzy object language association rule; and calculating a recommendation rule base and carrying out recommendation.
Owner:LIAONING NORMAL UNIVERSITY

Picture fuzzy processing method and system

The invention provides a picture fuzzy processing method and system. The picture fuzzy processing method includes obtaining a target picture; determining a fuzzy object of the target picture according to a preset fuzzy object and determining a fuzzy area corresponding to the fuzzy object; and performing fuzzy processing on the fuzzy area. The picture fuzzy processing method provided by the invention can automatically identify the fuzzy area corresponding to the fuzzy object in the picture, does not need a user to operate for multiple times, and reduces the risk of privacy leakage on the premise of ensuring that the picture is beautiful.
Owner:YULONG COMPUTER TELECOMM SCI (SHENZHEN) CO LTD

Decision-making method for multi-radio access selection of cognitive radio network

The invention discloses a decision-making method for multi-radio access selection of a cognitive radio network. Based on frame modularization, the method comprises the step that firstly a sharable knowledge base containing the service quality information of current and past active links is generated according to handling capacity indexes, delay indexes and reliability indexes which are independent in technology in the cognitive radio network. Fuzzy logical deduction and fuzzy mathematics are used in the process. The optimal target network is obtained by using a multi-objective fuzzy decision-making method on the basis that user preference indexes are taken into consideration. The decision-making method for the multi-radio access selection of the cognitive radio network has the advantages of proposing a solution of the multi-radio access selection with universality and structured characteristics aiming at the problem that a network multi-radio access selection solution cannot be widely applied to various wireless technologies. Due to the fact that accurate description and processing are carried out on fuzzy objects by fuzzy logic, accurate using of information can be further improved.
Owner:江苏达科教育科技有限公司

Moving object observation and fuzzy restoration method

InactiveCN105913395ALower requirementSolve the observation of high-speed moving targetsImage enhancementImage analysisRestoration methodFuzzy object
The invention discloses a moving object observation and fuzzy restoration method which comprises the following steps: a plurality of cameras of the same model that have a continuous shooting function are used for capturing photographs of moving objects in the same view field in a fixed manner, observation images are obtained; the obtained observation images are respectively subjected to moving fuzzy function estimation and segmentation extraction operation, and corresponding moving fuzzy object images are obtained; the obtained moving fuzzy object images and moving fuzzy functions are used, and clear object images can be obtained via a space domain combination restoration algorithm. The moving object observation and fuzzy restoration method has low requirements for hardware equipment, and only a plurality of digital cameras, popular in markets, that have a continuous capture function are required for solving a problem of high speed moving object observation and fuzzy restoration.
Owner:QINGDAO CAMPUS AVIATION ENG COLLEGE OF THE PEOPLES LIBERATION ARMY NAVY

Method for fast carrying out edge extraction on fuzzy object

The invention discloses a method for fast carrying out edge extraction on a fuzzy object. According to the method, after being modulated by a spatial light modulator (SLM), a light source is projected on the target; after the light source is reflected / transmitted by the target, a detector receives fuzzy image information under the action of a scattering medium; a projected random speckle is moved in four directions according to Roberts and gradient operators, the detector records four data and calculates the partial derivatives of the image in each direction; after a plurality of times of sampling is performed, second-order correlation calculation is performed, and the strong correlation information of the four partial derivatives is obtained, and gradient information is obtained; and two pieces of gradient information are added, so that rapid reconstruction of the information of edges which incline to any directions can be realized. With the method of the invention adopted, the quantity of reconstruction information can be decreased, the difficulty of the recognition of the target can be decreased, and the computation speed of a system can be improved; the fuzzy image can be accurately recognized; and the number of times of sampling required by the reconstruction of a target image is small, and the quantity of data required to be processed by the system is decreased, and hardware implementation can be easier.
Owner:NANJING UNIV OF SCI & TECH

Low-voltage risk assessment system based on neural network identification and fuzzy analysis

The invention relates to a low-voltage risk assessment system based on neural network identification and fuzzy analysis, the neural network identification system comprises an input layer, a hidden layer and an output layer, the input layer of the neural network identification system is used for receiving data of an external database, and the hidden layer is connected with the input layer and is used for receiving a transmission signal of the input layer; the hidden layer node is formed by taking a Gaussian function as a primary function, the primary function in the hidden layer node locally responds to an input signal; when the input quantity is close to the central range of the primary function, the hidden layer generates relatively large output, the signal outputs a low-voltage risk index through the output layer, and the fuzzy analysis system comprises a fuzzy controller. The input end of the fuzzy controller is connected with the database, the output voltage indexes screen and output low-voltage risk indexes, and fuzzy objects are quantitatively described by using a membership function method; The system has the advantages of accurate evaluation and combination of a neural network identification system and a fuzzy analysis system.
Owner:HEBI POWER SUPPLY OF HENAN ELECTRIC POWERCORP

System and method for recovering three-dimensional particle systems from two-dimensional images

A system and method for recovering three-dimensional (3D) particle systems from two-dimensional (2D) images are provided. The system and method of the present invention provide for identifying a fuzzy object in a two-dimensional (2D) image; selecting a particle system from a plurality of predetermined particle systems, the selected particle system relating to a predefined fuzzy object; generating at least one particle of the selected particle system; simulating the at least one particle to update states of the at least one particle; rendering the selected particle system; comparing the rendered particle system to the identified fuzzy object in the 2D image; and storing the selected particle system if the comparison result is within an acceptable threshold, wherein the stored particle system represents the recovered geometry of the fuzzy object.
Owner:THOMSON LICENSING SA

Liver-clearing and vision-improving boxthorn leaf traditional Chinese medicine tea and preparation method thereof

The invention discloses a liver-clearing and vision-improving boxthorn leaf traditional Chinese medicine tea. The traditional Chinese medicine tea comprises the following raw material medicines in parts by weight: 10-30 parts of boxthorn leaf, 10-20 parts of polygonum cuspidatum, 10-20 parts of Chinese angelica, 10-20 parts of jasmine, 10-20 parts of radix ophiopogonis, 10-20 parts of codonopsis pilosula, 10-20 parts of schisandra chinensis, 10-20 parts of radix polygonati officinalis, 10-20 parts of cuscuta chinensis, 10-20 parts of wolfberry fruit, 10-20 parts of prepared rhizome of rehmannia, 10-20 parts of prepared fleece flower root, 10-20 parts of eucommia ulmoides, 10-20 parts of glossy privet fruit, 10-20 parts of rhizoma polygonati, 10-20 parts of white paeony root and 10-20 parts of semen cassiae. The boxthorn leaf is cool in nature, bitter in taste and non-toxic and has the effects of tonifying deficiency, replenishing vital essence, clearing away heat, quenching thirst, dispelling the wind, improving the vision, treating hot eyes and pain, treating heat toxin sore and the like, and by adopting a modern process, the boxthorn leaf tea making is systematically researched, the prepared boxthorn leaf tea is good in mouthfeel and high in aroma, does not have green odor and can be accepted by consumers. For the boxthorn leaf tea, traditional Chinese medicines with the effects of nourishing liver and kidney and mild in nature and flavor are added, and the tea has obvious effects on dry and unsmooth eyes and unclear and fuzzy object observation caused by liver-kidney deficiency and excessive eyes.
Owner:QINGHAI ZIBOKAI BIOLOGICAL PROD

Video privacy data fuzzification method running on edge device

The invention discloses a method for fuzzifying video privacy data running on edge equipment. The method comprises the steps of algorithm model design, algorithm model building, model optimization, model quantification and acceleration, and model migration to mobile terminal equipment for running. The privacy automatic fuzzy system has the beneficial effects that the privacy automatic fuzzy system which is low in computing resource requirement, high in computing speed, capable of running on the mobile terminal and independent of other server resources is provided, and the privacy of other people in the public video is protected; a multi-target tracking algorithm is adopted to track an object, so that a fuzzy object can be specified or a motion track of a specified target can be recorded; the algorithm model is quantized, optimized and accelerated by using TensorRT, the deployment difficulty is reduced, and meanwhile, when the algorithm runs, three threads are adopted for processing the three parts of preprocessing, model reasoning and post-processing respectively, so that the running efficiency is improved.
Owner:SOUTH CHINA UNIV OF TECH

Blurred image rendering method and device, storage medium and electronic device

The invention discloses a blurred image rendering method and device, a storage medium and an electronic device. The method comprises the steps of obtaining a current to-be-processed target object froma target image frame to be rendered by a mobile terminal; under the condition that the target object is a fuzzy object on which a fuzzy processing script is mounted, obtaining a blurred map matched with the target image frame, the blurred map being a map generated by performing blurring processing on a target object set in the target image frame, and all objects in the target object set being objects rendered before the first blurred object in the target image frame; adjusting the fuzzy map according to the display position of the target object in the target image frame to obtain an object fuzzy map matched with the target object; and displaying the target image frame containing the object blurred map. The blurred image rendering method and device solve the technical problem that a blurred image rendering method provided in the prior art is large in processing expenditure.
Owner:TENCENT TECH (SHENZHEN) CO LTD

Focusing method for camera

The invention relates to the field of lens focusing, and in particular relates to a focusing method for a camera. The method comprises the steps of collecting environment images for many times; usinga focusing parameter as a collection parameter; meanwhile, adjusting the collection parameter aiming at each reference sample, and acquiring a clear object image of which a variable object is high indefinition; building index table information based on template information; further using the focusing parameter as the collection parameter, collecting an actual image, comparing the actual image with the index table information for judging, and thus acquiring a judgment result; and adaptively automatically focusing according to the judgment result. According to the method provided by the invention, through judging the actual image belongs to the fuzzy object image in which degree, and timely adjusting the adjusted collection parameter corresponding to the fuzzy object image, and the currentclear image is directly acquired, to achieve adaptive automatic focusing.
Owner:深圳市明日实业有限责任公司

A Method of Moving Target Observation and Fuzzy Restoration

The invention discloses a moving target observation and blur restoration method. The method uses multiple cameras of the same model with continuous shooting functions to capture and shoot moving targets in the same field of view to obtain observation images; the obtained observation images are separately processed. Motion blur function estimation and segmentation extraction are used to obtain respective motion blur target images; using the obtained motion blur target image and motion blur function, a spatial domain joint restoration algorithm is used to obtain a clear target image. The present invention has low requirements for hardware equipment and only requires a plurality of popular digital cameras with continuous shooting functions to solve the problems of high-speed moving target observation and blur restoration.
Owner:QINGDAO CAMPUS AVIATION ENG COLLEGE OF THE PEOPLES LIBERATION ARMY NAVY

Disease diagnosis and prediction system for deriving fuzzy object language concept lattice based on attributes

The invention relates to the technical field of medical care informatics, in particular to the technical field of information specially used for treating or processing medical or health data, and discloses a disease diagnosis and prediction system for deriving a fuzzy object language concept lattice based on attributes. The system comprises: a data collecting module which is used for acquiring symptom language expressions of patients with known disease diagnosis results, and determining an attribute export fuzzy object language concept set through a fuzzy object language form background; a rule extraction module which is used for extracting an attribute export fuzzy object language three-way decision rule from the attribute export fuzzy object language concept set to obtain an attribute export fuzzy object language three-way decision rule set; and a disease diagnosis module which is used for acquiring the symptom language expression of the patient to be predicted, exporting a fuzzy object language three-way decision rule set according to the attributes, and determining a disease diagnosis result of the patient to be predicted. According to the invention, language information problems in decision analysis can be processed, and intelligent medical diagnosis results are provided.
Owner:SHANDONG JIANZHU UNIV +1

A moving object deblurring method based on distributed camera array

The invention discloses a moving target deblurring method based on a distributed camera array, which is implemented according to the following steps: Step 1, building a distributed camera array system; Step 2, associating objects in the array, and then moving the associated image sequence Target 3D field flow estimation; Step 3. Sampling the 3D field flow sequence respectively, and using the triangular transformation method to estimate the motion point of the fuzzy target according to the sampling points; Step 4. Estimating the motion point of the fuzzy target by linear interpolation method according to the motion point Fuzzy kernel function; step 5, segment the fuzzy moving target to obtain a target sequence, and use the fuzzy kernel function obtained in step 4 to deconvolute to obtain a deblurred image of the target. Multi-frame rate and multi-exposure strategies are adopted between different camera arrays to overcome the contradiction between the exposure time of a single camera and high-resolution image acquisition; the configuration of the camera array is used to improve the detection range of the field of view and achieve the detection of moving targets under the requirement of a large detection field of view. Vague.
Owner:NORTHWESTERN POLYTECHNICAL UNIV

Event-triggered DOFF quantization controller design method under spoofing attack

PendingCN113805482AAddressing spoofing attacksSolve data quantificationAdaptive controlEvent triggerFuzzy object
The invention discloses a method for designing an event-triggered DOFF quantization controller under spoofing attack. The method comprises the following steps of: A, establishing a T-S fuzzy object model, a discrete event trigger model and a logarithmic quantizer model; B, establishing a spoofing attack model and a DOFF quantization controller model, and establishing a closed-loop T-S fuzzy system augmentation model organically fusing spoofing attack, a discrete event trigger, a logarithm quantizer and network induced delay parameters; and C, designing a DOFF quantization controller design condition organically fusing spoofing attack, a discrete event trigger, a logarithmic quantizer and network induced delay parameters, solving a positive definite matrix and a gain matrix, and obtaining a DOFF quantization controller suitable for the T-S fuzzy system under the influence of the spoofing attack and the event trigger by using a threshold parameter. According to the method, the problem that the existing T-S fuzzy system cannot be stable under the influence of spoofing attack, data quantization and network induced delay can be solved.
Owner:HENAN AGRICULTURAL UNIVERSITY

A Disease Diagnosis and Prediction System Based on Attribute-Derived Concept Lattice of Fuzzy Object Language

The present invention relates to the technical field of medical care informatics, that is, the field of information technology specially used for handling or processing medical or health data. The present invention discloses a disease diagnosis and prediction system based on attribute derived fuzzy object language concept lattice. The system includes: data The acquisition module is used to obtain the symptom language expression of patients with known disease diagnosis results; through the background of the fuzzy object language form, the attribute is determined to derive the fuzzy object language concept set; the rule extraction module is used to derive the fuzzy object language concept set from the attribute, Extract attributes to derive the three-branch decision-making rules of fuzzy object language, and obtain the set of three-branch decision-making rules of attribute-derived fuzzy object language; the disease diagnosis module is used to obtain the symptom language expression of the patient to be predicted, and derive the three-branch decision-making rule set of fuzzy object language according to the attributes, Determine the disease diagnosis result of the patient to be predicted. The invention can deal with language information problem in decision analysis and provide intelligent medical diagnosis result.
Owner:SHANDONG JIANZHU UNIV +1

Fuzzy pattern recognition method based on fuzzy n-cell number

The invention discloses a fuzzy identification method based on a fuzzy ellipsoid book. The fuzzy identification method comprises the following steps: step 1, obtaining a to-be-identified target or observation data sets of l standard categories; Step 2, respectively calculating the mean value of each feature of the observation data set of the to-be-identified target and the standard category in thestep 1; and step 2, respectively calculating the mean value of each feature of the observation data set of the to-be-identified target and the standard category in the step 1. step 3, constructing afuzzy n-cell number in a standard category, and constructing fuzzy n-cell numbers of the to-be-identified target; step 4, respectively calculating centroids of the fuzzy n-cell number of the to-be-identified target and the fuzzy n-cell number in each standard category, calculating the Euclidean distance through the centroid of the to-be-identified target and the and the centroid of each standard category; step 5, according to the Euclidean distance value obtained in the step 4, judging the pattern classification of the to-be-identified target by using a minimum distance principle. According tothe invention, the fuzzy mode identification accuracy of the fuzzy object is improved.
Owner:HANGZHOU DIANZI UNIV

A fuzzy pattern recognition method based on fuzzy ellipsoid number

The invention discloses a fuzzy identification method based on a fuzzy ellipsoid book. The fuzzy identification method comprises the following steps: step 1, obtaining a to-be-identified target or observation data sets of l standard categories; 2, calculating the mean value u, the left dispersion degree L and the right dispersion degree R of each feature of the standard category in the first step;3, constructing a standard type of parabolic fuzzy ellipsoid number u; 4, calculating the membership degree of the to-be-identified target corresponding to each standard category by using a joint membership degree approximation algorithm; and 5, judging the pattern classification of the to-be-identified target according to a maximum membership degree principle. According to the method, the membership function of the fuzzy object can be reasonably constructed, and fuzzy mode recognition can be accurately carried out on the recognition problem of the fuzzy object.
Owner:HANGZHOU DIANZI UNIV

Personalized commodity recommendation method based on fuzzy object language concept lattice clustering

The invention discloses a personalized commodity recommendation method based on fuzzy object language concept lattice clustering, and the method comprises the following steps: collecting and processing user behavior data, and initializing the collected data into a fuzzy object language form background; constructing a fuzzy object language concept and a concept lattice; searching a clustering reason; hierarchical clustering is carried out; a hierarchical clustering result corresponds to the reason; obtaining required concepts and hierarchies, and completing clustering; and recommending commodities to the user by adopting Top-N recommendation according to a clustering result. And a concept construction problem can be optimized while a local optimal hierarchy of hierarchical clustering can be found.
Owner:SHANDONG JIANZHU UNIV

Static processing method and device of video and computer readable storage medium

The invention discloses a static processing method and device of a video and a computer readable storage medium, the static processing method is applied to a mobile terminal, and the static processingmethod comprises the following steps: obtaining the video of the mobile terminal; determining a fuzzy object according to the video; and performing static processing on the fuzzy object. The video shooting object is subjected to related processing, the definition of the shooting object is enhanced, and the user experience is improved.
Owner:TCL COMM TECH NINGBO CO LTD

A distortion target identification and judgment method based on discrete orthogonal moment

ActiveCN109816647AImprove robustnessTaking into account the effect of distorted target recognition and judgmentImage analysisEffect of gait parameters on energetic costAlgorithm
The invention discloses a distortion target identification and judgment method based on discrete orthogonal moments, which comprises the following steps of inputting a distortion image to be detected,and identifying and judging a distortion target according to matrix transformation of the discrete orthogonal moments of the distortion image; and giving an optimal order reference value participating in calculation according to the image parameters. Experimental results show that the method has stronger robustness, and has advantages in the aspects of fuzzy object judgment and identification ofsimilar and complex objects under a distortion condition; and the given optimal order reference values suitable for the images of different sizes give consideration to the requirements of reducing thecalculation amount and improving the robustness, and have a very good matching effect with newly proposed parameters.
Owner:BEIJING UNIV OF POSTS & TELECOMM

A method for discovering object information in internet of things

The invention discloses a method for discovering object information in the internet of things. The invention can realize the discovery of fuzzy objects. On the basis of reserving the advantages of thestructured distributed network management IOT node, which extends the search mode of DHT system in the Internet of Things environment, It can not only search the object by single key value, but alsodiscover the existing node in DHT network by multiple object attributes or object attributes range, and expand the keyword when the object node is discovered, so that the object discovery without knowing the key value of the target object used for hashing operation is achieved.
Owner:NO 15 INST OF CHINA ELECTRONICS TECH GRP +1

Wind power generation vane-change fuzzy control method

The invention relates to a wind power generation vane-change fuzzy control method, which solves the problems of low control quality and low steady-state performance of a wind power generation unit system and belongs to the technical field of application of wind power generation. The technical scheme comprises the following steps of: adjusting the magnitude of a modifying factor according to a membership function of a fuzzy object to achieve an adjustment control rule; introducing a fragmentation biquadratic Lagrange interpolation algorithm of a binary function into a self-setting fuzzy controller to convert discrete control variables into continuous control variables, so that the output power of a wind power generation unit can be relatively accurately and quickly controlled; therefore, the adjusting dead zone and the offset of the controller are eliminated, and the control quality of the system is ensured. In the wind power generation unit, due to the application of a control algorithm in which the self-setting fuzzy controller is combined with the Lagrange interpolation algorithm, wind power can be more accurately controlled, so that the wind power generation unit can better meet the requirements of power grids; and intelligent control over the wind power generation unit has become one of mainstream development directions of the current wind power generation technologies.
Owner:BAODING TIANWEI GRP CO LTD
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