54results about How to "Eliminate negative effects" patented technology

The invention discloses a preparation method of a high-performance anti-ultraviolet water-repellent polyester fiber. The preparation method comprises the following steps: S1, preparing core-shell composite modified particles; s2, preparing a modified finishing liquid; and S3, carrying out dipping treatment on the polyester fiber by adopting the modified finishing liquid, so as to obtain the high-performance anti-ultraviolet water-repellent polyester fiber. The polyester fiber provided by the invention has excellent ultraviolet resistance and water repellency, titanium dioxide and carbon dots are adopted as main components of an anti-ultraviolet agent, and the core-shell composite modified particles with a special structural system are constructed, so that the excellent ultraviolet resistance can be provided, and the polyester fiber has excellent water repellency. The carbon dots are added into the polyester fiber, the adverse effect caused by the photocatalysis of titanium dioxide can be overcome, the water repellency of the polyester fiber can be improved through the carbon dots, the negative effect of the photocatalysis of titanium dioxide is further reduced, and the carbon dots play multiple improvement roles in the polyester fiber.

The application relates to a bundle search processing method and device, computer equipment and a storage medium. The method comprises the following steps: performing bundle search on a word table based on a current to-be-matched object and a current bundle width to obtain a current search result, wherein the current search result comprises a plurality of target words which are matched successfully with the current to-be-matched object and the number of which matches the current bundle width; performing width attenuation on the current bundle width according to a bundle width attenuation mode matched by the number of executed bundle searches to obtain a bundle width for next bundle search; taking each target word as a to-be-matched object for next bundle search, and iteratively performing bundle search until the bundle width obtained by attenuation is equal to a bundle width threshold value, and taking the search result at this time as a target to-be-matched object, and performing bundle search on the word table based on the bundle width threshold value to obtain a target search result. By adopting the method, the search efficiency can be improved while ensuring the search effect in an ultra-long sequence scene.

The utility model discloses a device for synchronously controlling a withdrawal and straightening machine and a dummy bar of a continuous casting machine. The device comprises a potentiometer, a PLC (Programmable Logic Controller) control system, a signal isolation module, a withdrawal and straightening machine frequency converter, a dummy bar frequency converter and a digital display instrument. The potentiometer is connected to an analog quantity input port of the PLC control system through the one-input one-output optoelectronic isolator and is used for inputting an initial control signal; the output end of the PLC control system is connected with the withdrawal and straightening machine frequency converter and the dummy bar frequency converter to drive the two frequency converters to operate. A feedback signal of the withdrawal and straightening machine frequency converter is divided into two paths to be transmitted to the PLC control system and the withdrawal and straightening machine digital display instrument through the one-input two-output isolator, and a feedback signal of the dummy bar frequency converter is directly accessed to the dummy bar digital display instrument. The device eliminates electromagnetic interference through a photoelectric isolation module, integrates a water distribution model and a molten steel temperature data interface, adopts a standardized interface design for hardware, is adaptive to different continuous casting machine models, has the characteristics of strong anti-interference capability, stable signal transmission and visual real-time monitoring, and effectively improves the operation reliability of equipment.

The application provides an anti-malicious anchor node target node positioning method, device and equipment, and belongs to the field of network security and signal processing. The method comprises the following steps: acquiring the received signal strength measurement data between nodes, establishing a received signal strength nonlinear measurement model containing an unknown attack strength parameter, further converting the multiplicative noise item in the established model into an explicit additive equivalent noise item, constructing an optimization model with the weighted residual square sum minimization as an objective function, introducing an L1 norm regularization term for the attack strength parameter, coupling the identification of the malicious anchor node and the position estimation of the target node into the same optimization problem to obtain an initial optimization model, introducing an auxiliary variable for relaxing the non-convex item, converting the non-convex constraint into a convex constraint and solving the same to determine the target node position, and providing a reliable basis for subsequent network security maintenance and node trust management.

The coil component 100 has a coil with a shape that improves the overall performance L×Isat / DCR of the coil component. It has a spiral conductor portion (first spiral conductor portion 11) with a central axis O along a first direction and having multiple turns, and a lead-out conductor portion (first lead-out portion 14) extending from the outer peripheral end of the spiral conductor portion towards a second direction (X1-X2 direction) intersecting the first direction (Z1-Z2 direction); and a core body portion 30 containing magnetic powder and adhesive material, covering the spiral conductor portion and the lead-out conductor portion, and exposing the end face of the lead-out conductor portion (first lead-out portion end face 14E). The two sides of the lead-out conductor portion along the second direction (inner side 14i and outer side 14p) have non-parallel portions when viewed along the first direction.

To achieve a power storage device capable of suppressing a negative effect of water that has infiltrated an inside of a case on an electrical device. In a power storage device of one embodiment of the present disclosure, the case includes a frame including a column unit and a beam member that links the column units and is assembled with a fastening member, a partition member that is fixed to the frame with the fastening member and divides an inside of the case into a space in which the electrical device is accommodated and another space, and a cap-shaped member that is fixed to the frame. The partition member includes waterproof portions at both end portions thereof on the left and right. In a state where the partition member is arranged on the upper side with respect to the electrical device, the waterproof portions are covered with the cap-shaped member.

This invention provides a training method, localization method, and system for an intelligent agent localization model based on dialogue and vision collaboration. The training method is applied to a federated learning system and includes: a server initializing a global model and distributing it to a client; the client receiving model parameters, training the model using local dialogue commands and visual data, generating multimodal representations, and then inputting them into two structurally identical but parameter-independent localization branches for parallel processing, outputting localization representations and prediction results, and executing navigation decisions based on the localization results; constructing a total loss function that includes a loss term constraining the consistency of the bi-branch representations and constraining the consistency of navigation state changes, and updating the local model; the client evaluating reliability based on representation consistency and navigation stability, uploading the model update and reliability to the server, and the server using this data to weighted aggregate and update the global model, iterating until convergence. This invention can suppress noisy dialogue interference and improve localization accuracy, navigation stability, and model generalization ability in federated learning scenarios.

This invention provides a method for embedding wires in continuous fiber-reinforced composite materials and vertically leading them out, comprising the following steps: laying a first insulating protective layer on a first composite material matrix; arranging multiple wires at predetermined intervals and in parallel on the first insulating protective layer; laying a second insulating protective layer above the wires; encapsulating to form a composite material preform; laying a second composite material matrix on the second insulating protective layer; forming a prefabricated cavity in the second composite material matrix through layer-by-layer stacking; filling the prefabricated cavity with a placeholder structure; encapsulating to form a complete preform; and curing the complete preform. After curing, the placeholder structure is removed from the second composite material matrix, and the wires can be vertically led out and moved from the prefabricated cavity. This invention can reduce the negative impact of embedded wires on the mechanical properties of composite materials and effectively prevent leakage problems caused by damage to the insulating varnish layer on the wire surface.

The invention discloses an equipment fault detection method and related equipment, relates to the field of fault detection, and realizes a gated processing mechanism of first preliminary screening and then subdivision by synchronously acquiring long-time sequence vibration signals and noise signals of equipment and constructing a two-stage cascaded fault detection architecture. The fault preliminary screening model performs quick fault preliminary screening on all the to-be-detected fragments, and only the fragments judged to be faulty are sent to the fault type subdivision model for specific fault type identification, so that the unnecessary calculation overhead is remarkably reduced, and the system detection efficiency is improved. According to the method, bimodal information is fully utilized, and efficient and stable equipment fault detection is realized while high detection precision is ensured.

This invention discloses a robust fusion method for large models based on semantically aligned fuzzy clustering. The method includes: first, obtaining a sequence of probability distribution vectors from the outputs of multiple heterogeneous large-scale pre-trained models for the samples to be processed; then, introducing non-negative reliability weights to weight this sequence to obtain an aggregated probability matrix, and constructing a graph Laplacian matrix accordingly; second, approximating the aggregated probability matrix into a fuzzy membership matrix and a semantic prototype matrix, constructing a cost objective function by combining the graph Laplacian matrix, and iteratively updating each matrix and weight until convergence; finally, solving for the maximum value of the converged fuzzy membership matrix to obtain the sample prediction category result. This invention can effectively suppress the influence of inferior models in unsupervised environments, significantly improving the accuracy and robustness of fusion prediction.

The application discloses a non-welding accessory connecting structure of a wind power tower drum, the wind power tower drum and a construction method thereof, and relates to the technical field of wind power generation equipment. Technical scheme points of the application are as follows: the application comprises a rooting piece for connecting with an accessory structure, a structural adhesive layer coated between a mounting surface of the rooting piece and an inner wall of a tower drum body, and a resin fiber composite material coating layer which is cured and formed to wrap a root part of the rooting piece and is fixedly connected with the inner wall of the tower drum body through the structural adhesive layer. The application can effectively disperse stress generated by accessory load, avoid a welding heat affected zone, welding residual stress and stress concentration at a welding toe, eliminate negative effects of welding of the accessory on fatigue strength of a main steel plate of the tower drum, and make the fatigue strength grade of the main steel plate not be reduced due to connecting details.

This invention discloses a polyphosphazene / MXene self-supporting electrode loaded with cobalt single atoms, its preparation method, and its application, belonging to the field of seawater uranium extraction technology. Ti3AlC2 powder is etched in an HCl-LiF mixed solution and then ultrasonically exfoliated to obtain Ti3C2T. x Nanosheet suspension; simultaneously, hexachlorocyclotriphosphazene, 4,4'-dihydroxydiphenyl sulfone, and cobalt salt were dissolved in a solvent, and triethylamine was added. A condensation reaction was then carried out under ultrasonication to obtain Co-PZS; then Ti3C2T x After the nanosheet suspension is uniformly mixed with Co-PZS and carbon fiber fabric, it is transferred to a hydrothermal reactor for hydrothermal reaction. The resulting hydrothermal reaction product is then dried and calcined to obtain a polyphosphazene / MXene self-supporting electrode loaded with cobalt single atoms. This electrode is used for the electrochemical adsorption of uranyl ions in the solution system and exhibits excellent comprehensive uranium extraction performance, with advantages such as high capacity, fast rate, strong selectivity, and good stability, meeting the application requirements of seawater uranium extraction.

The invention belongs to the field of organic electrolyte and potassium ion batteries, and particularly relates to a high-energy-density potassium ion battery realized by medium-entropy electrolyte applicable to an alloy antimony / conductive carbon negative electrode. The potassium ion battery comprises a Prussian blue (PB) positive electrode, an electrolyte and an antimony / conductive carbon (Sb / SP) negative electrode, and the electrolyte is a medium-entropy electrolyte of potassium bis (fluorosulfonyl) imide (KFSI). The obviously improved rate performance of the medium-entropy electrolyte and the Sb / SP developed by the invention is attributed to a balance solvation structure driven by a double-entropy effect and a weak solvation effect, and the structure provides a collaborative guarantee for enough interface stability and dynamic compatibility. Meanwhile, the electrochemical window of the ether-based electrolyte is widened, the PB positive electrode can stably circulate at 2.0-4.4 V, and the PBMSESb / SP total battery can achieve the high energy density of 194 Wh / kg under the current density of 50 mA / g (based on the total mass of PB and Sb / SP).

The invention discloses a complex dynamic industrial visual positioning method and system based on multi-agent collaboration, and relates to the technical field of machine vision, distributed visual agent nodes are deployed in an industrial dynamic operation scene, and node microsecond-level time synchronization, space joint calibration and communication networking are completed; the nodes synchronously collect industrial images according to a preset time sequence, and a standardized data set is generated through preprocessing; dynamic target feature extraction is completed based on an improved deep convolutional neural network, and cross-node feature matching is completed in combination with epipolar constraints; a multi-view geometric constraint model is constructed to solve the three-dimensional pose of the target, and a positioning result is generated through dynamic interference compensation optimization; and outputting a positioning result, completing closed-loop feedback, and dynamically adjusting node parameters to realize multi-agent collaborative global optimization. According to the invention, the precision and the anti-interference capability of visual positioning in a complex dynamic industrial scene are improved, the multi-node load balancing is optimized, and the visual positioning operation requirements of various industrial dynamic scenes can be met.

The utility model discloses a kind of via hole structures of FPC preventing big impedance, belong to FPC board via hole field, a kind of via hole structure of FPC preventing big impedance, including FPC board, A line upper end, A line lower end, K line upper end, K line lower end are equipped on the FPC board, the A line upper end, K line upper end terminal are equipped with double via hole, the A line upper end is electrically connected with A line lower end by double via hole, the K line upper end is electrically connected with K line lower end by double via hole, wherein double via hole is specifically two via hole compositions, via hole outer diameter is specifically 0.5mm, via hole inner diameter is specifically 0.25mm, the hole spacing between two via holes is specifically 0.3mm;The utility model has the advantages of prior art in that: the number of via hole in the structure of FPC is increased to 2, avoid the risk of abnormal function caused by big impedance, reduce the burnout generated in the use process of product due to the via hole process problem of supplier, eliminate the negative influence caused by after-sales function bad, greatly reduce after-sales cost.

The application belongs to the technical field of computers and discloses a parallel segmentation learning method and device based on clusters, equipment and a storage medium. The method comprises the following steps: obtaining a plurality of to-be-learned user terminals and user communication information of each to-be-learned user terminal; performing cluster division on each to-be-learned user terminal according to each to-be-learned user terminal and the user communication information of each to-be-learned user terminal, and determining a plurality of target user clusters; and performing cluster serial segmentation learning according to an aggregated user terminal model and each target user cluster to obtain a target user terminal model, wherein the aggregated user terminal model is obtained by performing parallel segmentation learning on each target user cluster according to the target spectrum resources of each to-be-learned user terminal. Through the above method, the overall training time delay in the segmentation learning process is effectively reduced, the efficiency of segmentation learning is improved, the negative effects caused by network heterogeneity and dynamics are inhibited, and the convergence and accuracy of existing segmentation learning technology are ensured.

This invention relates to the field of tonic wine stabilization technology and discloses a nano-encapsulation method for stabilizing tonic wine. The method includes constructing a digital encapsulation matrix model of a tonic wine system containing multiple active components, extracting the molecular structural characteristics and physicochemical parameters of the active substances, and, in conjunction with preset encapsulation target requirements, analyzing the key limiting factors for the stability of the tonic wine system and generating an encapsulation demand vector. Then, based on this vector, a multi-level screening operation is performed in the model to locate the target encapsulation domain. Within this domain, relevant data of the nanocarrier material are integrated, and the compatibility between it and the active substance units is evaluated using multi-parameter fusion calculation rules to obtain an optimal sequence of nano-encapsulation materials. Based on this sequence, a nano-encapsulation operation instruction set is generated to perform nano-encapsulation processing on the tonic wine system, obtaining an encapsulated composite system. The dispersion uniformity and sedimentation rate of the system are monitored in real time, and its stability is verified using preset standards, outputting verification result data.

This invention belongs to the field of microbial preparation technology, specifically relating to a biocontrol agent composition and its application in improving growth barriers caused by high-temperature soil sterilization and controlling plant diseases. The technical problem this invention aims to solve is to provide a new option for alleviating soil obstacles caused by high-temperature sterilization. The technical solution of this invention is a *Pseudomonas aeruginosa* 115-17, with the preservation number CCTCC No: M2026293. This invention provides a novel *Pseudomonas aeruginosa* 115-17 strain, which possesses nitrogen-fixing, inorganic phosphorus-solubilizing, and siderophore-producing abilities; it can also promote pepper growth, control plant diseases (mainly pepper blight), and improve plant growth inhibition caused by high-temperature soil sterilization. This invention also provides a combination of Bacillus velezensis Bv-6 (CCTCC No: M20191106) and newly isolated Pseudomonas aeruginosa 115-17 to form a microbial inoculum, thereby effectively alleviating plant growth obstacles caused by high-temperature sterilization and effectively preventing and controlling pepper blight.

The application provides a kind of robust laser SLAM repositioning and mapping method for embodied intelligent robot in the technical field of robot autonomous navigation, comprising: receiving original laser radar point cloud and IMU data, pre-processing point cloud to extract feature points;IMU pre-integration provides initial pose constraint;Loop closure detection is through the two-stage cascade of ScanContext global search and LinK3D local matching, obtains repositioning constraint;Front-end odometry matches feature points with local voxel map, combines IMU optimization to output pose estimation, filters key frame to generate laser odometry factor;With repositioning constraint as initial value, use improved ICP to accurately register to obtain repositioning factor;Finally, construct factor graph, jointly optimize IMU, laser odometry and repositioning factor, solve global consistent pose sequence and map.The application has the advantages that: it greatly improves the system robustness, repositioning accuracy and global map consistency of quadruped robot in severe motion and large-scale scene, while meeting the real-time constraint of embedded platform.

The utility model provides a variable load type phase advancer with a buffer structure, which comprises a phase advancer, the side surface of the phase advancer is rotatably connected with a movable door, the side surface of the phase advancer is provided with a protection assembly, the protection assembly comprises a connecting pipe, one end of the connecting pipe penetrates through the side surface of the phase advancer, and a wire penetrates through the side surface of the connecting pipe. The side face of the phase advancer is rotationally connected with a rotating rod, the circumferential face of the rotating rod is fixedly connected with a protective cover, the end, away from the phase advancer, of the rotating rod is fixedly connected with a gear, the side face of the phase advancer is fixedly connected with a transverse plate, the bottom of the transverse plate is slidably connected with a rack, and the side face of the phase advancer is fixedly connected with a rectangular rod. An electric telescopic rod is fixedly connected to the side face of the rectangular rod, one end of the electric telescopic rod is fixedly connected to the side face of a rack, the rack is meshed with a gear, a protective cover is located above the connecting pipe and the electric wire, a switch is arranged at the top of the electric telescopic rod, and the connecting pipe and the electric wire can be covered through the design of the protective cover.

The invention belongs to the technical field of anti-impact protection engineering and intelligent material application, and particularly relates to an active self-adaptive high-impact-resistant buffering device based on the synergistic effect of foamed aluminum and a dielectric elastomer. According to the device, foamed aluminum and a dielectric elastomer are innovatively combined, and an energy absorption-immobilization dual protection mechanism is constructed; a foamed aluminum layer performs passive energy absorption by utilizing buckling deformation of a porous structure, so that effective attenuation of an impact load and uniform distribution of stress are realized; the dielectric elastomer layer is used as an intelligent soft material, a control algorithm is introduced, remarkable electrodeformation and variable stiffness characteristics are generated along with the increase of the electric field intensity under impact, and active expansion hardening is carried out to fill structural gaps generated after foamed aluminum deformation. Compared with a traditional passive protection technology, the buffering device has the advantages that efficient buffering is achieved, meanwhile, equipment displacement and oscillation caused by deformation of the buffering layer are effectively prevented, secondary impact caused by rebounding of the buffering structure after impact can be effectively restrained, and the reliability of test data and the survivability of equipment in the high-impact environment are remarkably improved.

The present application belongs to the technical field of power semiconductor devices, and relates to a self-bias split gate bipolar transistor and a manufacturing method thereof. The present application provides a bias potential for the split gate (11) through the potential of the floating P region (18), thereby forming the electron accumulation ability below the trench, enhancing the conductance modulation ability, and thus enhancing the forward conduction ability of the device. Compared with the traditional split gate structure, the diode and capacitor structure of the self-bias structure are integrated into the IGBT structure, which can simultaneously improve the conduction ability and switching performance of the device without affecting the device size and IGBT operation, eliminates the negative effects brought by the split gate, improves the switching loss and enhances the switching speed, optimizes the forward conduction ability of the device, and improves the compromise characteristics between the forward conduction voltage drop and the off-state loss of the device.

The present application belongs to the technical field of power system control, and relates to a wide-frequency oscillation suppression method based on oscillation characteristic extraction and network characteristic integration, comprising: parallel extraction of independent state quantities of network and follow-up network channels, and analysis of oscillation characteristics through fast Fourier transform; calculation of oscillation frequency point impedance based on an output impedance model, and reverse calculation of integrated coefficients combined with a set target margin; weighting and integration of the two-channel state quantities by using the coefficients and input into a controller for execution; the present application remodels the equivalent output impedance of the converter from the bottom layer, essentially eliminates the negative resistance-capacitive frequency band causing oscillation, and effectively improves the stability margin, parameter robustness and adaptability to complex power grids of the grid-connected system.

The utility model provides a battery aluminum shell and a battery, the battery aluminum shell comprises an aluminum shell main body having an inner cavity and a mounting port, the inner cavity is used for accommodating battery internal components, the mounting port is located in the outer wall surface of the aluminum shell main body, and the mounting port is communicated with the inner cavity; and the explosion-proof valve covers the mounting opening, the explosion-proof valve and the aluminum shell main body are formed in an integrated stretching and stamping mode, and the explosion-proof valve is used for blasting when the pressure of the inner cavity reaches a preset threshold value. As the explosion-proof valve and the aluminum shell main body are formed in an integrated stretching and stamping manner, the explosion-proof valve and the aluminum shell main body are integrally formed, and a welding process is avoided, so that the production process is simplified, and the production steps and cost are reduced; secondly, the explosion-proof valve and the aluminum shell main body are integrally formed, so that the welding process is avoided, the negative influence of the welding temperature on the performance of the explosion-proof valve is eliminated, and the stability and the reliability of the explosion value of the explosion-proof valve are ensured; in addition, the explosion-proof valve and the aluminum shell main body are integrally formed, so that the air tightness problem possibly caused by welding is reduced.

The invention relates to the field of data storage and backup, in particular to a TF memory card data acquisition method and system, and the method comprises the steps: collecting the environment temperature and the electromagnetic interference intensity in real time after a TF card is powered on; flash memory programming parameters are adjusted according to temperature, a charge retention mechanism is started at high temperature, and threshold voltage is optimized at low temperature; enhanced link coding is started in a strong electromagnetic environment, and dual-copy metadata storage is generated after data partitioning; generating an enhanced LDPC check code and a CRC-64 check code for the block data, packaging the check code into a write-in unit, and synchronously writing the write-in unit into a flash memory; if the writing is interrupted, retrying or switching the standby block, and carrying out atomized updating on the metadata by adopting a mode of'standby first and master second '; periodically starting charge refreshing, and repairing leakage data; detecting block states in real time, marking bad blocks and migrating data to standby blocks; voltage and impact strength are monitored in real time, an emergency power supply is started when abnormity occurs, and semi-finished data and metadata are preserved preferentially; and after restarting, recovering the data and updating the index.

The utility model discloses a kind of gas suspension centrifugal water chiller unit, its compressor is gas suspension centrifugal compressor;The coolant inlet of condenser is connected to the outlet of compressor;The coolant outlet of condenser is two-way: first road connects the liquid inlet of economizer, second road is sequentially connected the inlet of ball valve and second expansion valve;The motor heat dissipation pipeline inlet of compressor is connected to the outlet of second expansion valve;The inlet of isolating valve is connected to the motor heat dissipation pipeline outlet of compressor;The top of evaporator is connected to the outlet of isolating valve;The outlet of economizer is two-way: liquid outlet connects the inlet of first expansion valve;Gas outlet connects the medium-pressure cavity of compressor;The coolant inlet of evaporator is connected to the outlet of first expansion valve;The inlet of compressor is connected to the coolant outlet of evaporator.Using the utility model, not only can significantly improve system efficiency, but also can utilize the high-efficiency cooling motor of system itself cold source, without external cooling system.

This application relates to the field of signal processing technology, and discloses a signal processing circuit and a signal detection system. The signal processing circuit includes a first filter circuit, a transformer, and a second filter circuit. The first filter circuit is configured to filter out interference noise in the signal to be processed. The transformer is configured to receive the signal processed by the first filter circuit and convert the signal processed by the first filter circuit into a differential signal. The second filter circuit is configured to receive the differential signal, filter out interference noise in the differential signal, and output the signal. Embodiments of this application can perform signal processing on analog signals of various frequency bands, exhibiting high adaptability.

The application provides a cross-domain fault diagnosis method based on uncertainty quantification and differential collaborative optimization, and relates to the technical field of intelligent fault diagnosis. A source domain neural network model with uncertainty quantification capability is obtained by training a target neural network model; the parameters of the classification module of the source domain neural network model are frozen, the parameters of the feature encoding module of the source domain neural network model are updated, the samples in the target domain data set are double-checked, and are divided into a reliable sample set and an unreliable sample set; based on the sample division result, the source domain neural network model is differentially collaboratively optimized to obtain a trained target network model, and the target network model is used for fault diagnosis. The application can effectively suppress the negative influence of noise pseudo labels, realize fine alignment of features on the premise of protecting the privacy of source domain data, and improve the diagnosis precision of mechanical equipment faults under varying working conditions.

The utility model discloses a dynamic voltage restorer in a high-frequency isolation mode. The dynamic voltage restorer is connected in series between a power grid US and a sensitive load UL. The dynamic voltage restorer comprises a direct current source Udc, a high-frequency isolation DC / DC circuit, an H-bridge inverter circuit and a thyristor bypass system. The direct current source Udc provides a direct current power supply for the high-frequency isolation DC / DC circuit, and the output of the high-frequency isolation DC / DC circuit is connected with the H-bridge inverter circuit to provide stable direct current voltage for the H-bridge inverter circuit; the output of the H-bridge inverter circuit is connected with the control end of the thyristor bypass system, the input end of the thyristor bypass system is connected with a power grid US, and the output end of the thyristor bypass system is connected with a sensitive load UL. The beneficial effects of the utility model are that the system response speed is fast, the power density is high, the reliability is good, the isolation degree is high, the continuous compensation is supported, and the negative influence of the secondary pulsation on the cascade system is eliminated at the same time.

This invention discloses a method for controlling UAV swarm interference encirclement under non-ideal communication environments. First, a three-dimensional spatial system model of a single UAV is established. The UAV swarm is divided into three categories: reference leader UAV, formation leader UAV, and follower UAV. The impact of external interference on the formation leader UAV and follower UAV is considered separately, and second-order dynamic equations are established. Graph theory is introduced to describe the information interaction between UAVs in the swarm and to complete formation. A time-delay-dependent dynamic event triggering mechanism is provided for each formation leader UAV and follower UAV. An error system equation for the UAV swarm under non-ideal communication environments is established, and external interference is suppressed. Through the dynamic event triggering mechanism, redundant data transmitted by UAVs is effectively reduced, and the network transmission burden is lowered. Even with delays and packet loss caused by non-ideal communication environments, effective data transmission between UAVs in the swarm can be guaranteed.