35 results about "Frequency coupling" patented technology

The application discloses a kind of central air conditioning system outlet water temperature and cold hot water pump frequency coupling operation method, including S1, collection basic data;S2, based on the basic data collected analysis central air conditioning cold and heat load influencing factor;S3, based on the cold and heat load influencing factor analyzed, constructs decision regression tree model;S4, according to the decision regression tree model constructed, central air conditioning system is carried out cooling and heating condition division;S5, according to the condition category divided to central air conditioning operation data is screened, determines the optimal host outlet water temperature and cold hot water pump frequency under each condition category as corresponding condition optimal setting parameter, realizes coupling operation.(1) the operation control method provided by the application simultaneously to host outlet water temperature and cold hot water pump frequency optimization, improve the energy-saving potential of central air conditioning system;The method of the application starts from actual engineering data, optimizes water temperature and water pump frequency while ensuring indoor comfort requirements, ensure the feasibility of the method.

This invention proposes a simulation method and system for the current response of distribution networks based on multi-frequency coupling effects, belonging to the field of power system modeling and simulation technology. The method includes: obtaining the frequency domain admittance matrix of the distribution network; extracting the same-frequency admittance vector and coupled admittance vector; converting each admittance vector into a transfer function, and then converting the transfer function into a discrete state-space model; preprocessing the voltage input signal using dq transform to reconstruct components at specified frequencies; substituting the preprocessed voltage signal into the discrete state-space model to obtain the current response of each frequency component; solving for the optimal weighting coefficients using an adaptive weighting strategy, and linearly superimposing the current responses to obtain the real-time simulated total current response.

The application discloses a kind of multi-modal partial discharge signal's adaptive filtering and intelligent separation method, and the application is related to power equipment insulation state monitoring and signal processing technical field, comprising the following steps: step S1: real-time acquisition power equipment partial discharge signal, and synchronously obtain equipment operating parameter and environmental noise signal.The multi-modal partial discharge signal's adaptive filtering and intelligent separation method, by dynamic coupling degree modeling and the synergistic mechanism of double-channel confrontation type decoupling, effectively solves the mode aliasing and feature distortion problem caused by signal and noise time-frequency coupling in dynamic noise environment in traditional method.Dynamic coupling path perception module quantifies the interactive characteristics of noise and signal in real time, combined with the double-channel architecture of complex domain phase-sensitive filtering and vibration trajectory matching filtering, realizes the accurate suppression of high-frequency transient interference and low-frequency periodic noise.

A method and apparatus for calculating the frequency deviation of the sending-end power grid are disclosed. The method includes: obtaining the active power support scheduling demand of the DC system for the sending-end power grid, the power regulation provided by the MMC converter station, the power regulation provided by the thermal power units of the sending-end power grid, and the power regulation provided by the wind power units of the sending-end power grid; and calculating the frequency deviation of the sending-end power grid using an active power-frequency coupling model of the sending-end power grid based on the active power support scheduling demand of the DC system for the sending-end power grid, the power regulation provided by the MMC converter station, the power regulation provided by the thermal power units of the sending-end power grid, and the power regulation provided by the wind power units of the sending-end power grid. The method and apparatus provided by this invention reveal the support effect of wind power frequency regulation transmission via a flexible DC system on the frequency stability of the sending-end power grid, providing a technical means to improve the safe and stable operation level of the power grid under high-proportion renewable energy access.

The application discloses an ultrafiltration permeation regulation method and device based on a gradient sponge structure dialysis membrane and relates to the technical field of hemodialysis. An intelligent response membrane assembly containing a nonlinear aperture gradient is constructed; a signal is collected and a concentration polarization critical index is calculated; when the threshold value is exceeded, a multi-frequency coupling pulse control instruction containing a mechanical resonance excitation waveform and a phase reverse matching osmotic pressure oscillation waveform is generated; mechanical resonance excitation is applied to the blood side to induce membrane layer micro-breathing deformation, and an osmotic pressure oscillation waveform is injected into the dialysate side to form a reverse solute diffusion field; microgel deformation feedback signals are monitored in real time, waveform parameters are dynamically adjusted, and the concentration polarization critical index is returned to a safe interval until the ultrafiltration flux is adaptively regulated. The device comprises an intelligent gradient membrane assembly, a fluid power regulation module, an osmotic pressure wave generation module, a sensing feedback array and a central processing unit, can effectively inhibit membrane pollution and concentration polarization, and improves the system operation stability.

The application provides a DRU-LFAC system and a wind turbine generator network type control and black start control method, and relates to the technical field of wind power generation. The offshore wind farm is a permanent magnet direct drive full power wind turbine generator, low frequency alternating current is sent to the onshore back-to-back converter through a low frequency side subsystem, the onshore back-to-back converter converts the low frequency alternating current into high frequency alternating current and sends the high frequency alternating current into an onshore power grid, the onshore back-to-back converter comprises a twelve-pulse diode rectifier unit and a modular multilevel converter, and a filter is used for reactive power compensation. The DRU-LFAC system has active power-voltage coupling characteristics and reactive power-frequency coupling characteristics. The application solves the problems that the low frequency side power characteristics of the current DRU-LFAC system are different from those of the traditional power system and cannot be effectively analyzed, the current traditional wind turbine generator control strategy is not applicable to the DRU-LFAC system, and the offshore wind farm cannot be started through a conventional process due to the unidirectional conduction characteristics of the DRU.

The application provides a DC voltage dynamic VSG frequency coupling impedance modeling and stability analysis method, and relates to the technical field of power electronic converter control. The method comprises the following steps: constructing a two-stage VSG system topology; establishing a front-stage DC voltage control model and a rear-stage VSG power control model; based on a harmonic linearization method, establishing a small-signal model considering the mirror frequency effect; deducing a conductance matrix and an impedance matrix containing a DC voltage coupling term; and verifying the system stability through a generalized Nyquist criterion and time domain simulation. The application fuses the DC voltage dynamic and the mirror frequency effect, accurately represents the frequency coupling characteristics of the VSG, avoids the calculation deviation of the traditional model, improves the stability analysis precision, is suitable for new energy power generation, AC / DC microgrid and other scenes, and has important engineering application value.

The application relates to a 4G full-band main antenna suitable for a wearable device, which comprises a wearable device shell serving as an antenna support and provided with a low-frequency radiation branch, a medium-frequency radiation branch, a high-frequency radiation branch and a medium-frequency coupling radiation branch on the surface respectively. The low-frequency radiation branch is in an inverted F structure, two short branch ends of which are respectively provided with a feeding point and a second grounding point to jointly form a PIFA antenna basic structure. The high-frequency radiation branch is provided with a first grounding point for generating high frequency. The medium-frequency radiation branch is connected with the low-frequency radiation branch. The medium-frequency coupling radiation branch is provided with a third grounding point, and the medium-frequency coupling radiation branch is coupled with the low-frequency radiation branch to generate medium frequency, and the medium frequency generated by the medium-frequency coupling radiation branch is superposed with the medium frequency generated by the medium-frequency radiation branch to increase the medium-frequency bandwidth. The antenna clearance of the application is only 2mm, supports a narrow black border and a high screen ratio appearance, the efficiency is improved by about 2dB compared with a traditional antenna, the bandwidth is wider, the structure is simple, the manufacturing is simple, the mass production consistency is high, the loss is low and the reliability is high.

The application discloses a transient midpoint potential collaborative suppression method suitable for a network-constructed three-level T-type inverter and belongs to the technical field of power electronic converter control. In view of the problem that the three-level T-type inverter is prone to midpoint potential deviation in the process of grid frequency disturbance in a wind storage network-constructed scene, the application comprises the following steps: a low-frequency coupling model is established, in which active disturbance is transmitted to midpoint potential through d-axis current and midpoint current; event-triggered logic with hysteresis characteristics is constructed according to frequency deviation; a power shaping link is arranged at a source end, active instructions in an event window are subjected to second-order shaping, amplitude limiting and change rate constraint processing; a zero sequence extended state observer is arranged at a terminal side, online estimation is conducted on the generalized disturbance of a midpoint channel, and an additional compensation quantity is generated through a zero sequence port; and the source end power shaping and the terminal side zero sequence extended state observer are collaboratively put into the same event window, so that low-frequency disturbance entering the midpoint channel is weakened and the cumulative deviation of the midpoint potential is suppressed. The application can effectively reduce the midpoint potential peak value, suppress low-frequency energy accumulation, reduce transient peak current stress, and improve the operation safety and control stability of the network-constructed three-level converter under strong disturbance working conditions.

The invention discloses a radar antenna beam domain adaptive conformal method and system under main lobe interference, and relates to the technical field of radar antennae, and the method comprises the following steps: collecting real-time energy change sequences of a target signal and an interference signal in a dynamic frequency drift process; expanding the target signal frequency component and the interference signal frequency component under a unified time reference, and establishing a transient identification basis of frequency coupling; and according to the established frequency coupling transient identification basis, performing fine decomposition on the identified overlapped section energy spectrum, and extracting the energy peak distribution of the frequency coupling center. Through frequency coupling transient identification and dynamic energy indication, effective distinguishing of a target and interference in a time dimension is realized, a target self-elimination phenomenon under main lobe interference is suppressed, and in combination with frequency avoidance rhythm, energy rearrangement and dynamic phase regulation, the shape and direction of a main lobe are kept stable; and the target detection reliability and precision in a complex interference environment are improved.

The application discloses an emotion and concentration intelligent recognition method based on multi-frequency brain wave characteristics, comprising the following steps: collecting brain wave data, generating a brain wave data set through standardization processing; performing short-time Fourier transform, constructing a frequency spectrum sequence, calculating the coupling index of different frequency bands, and constructing a frequency band coupling matrix; proposing a frequency coupling clustering algorithm, performing a frequency spectrum clustering operation, and generating a plurality of frequency spectrum resonance clusters; inputting into an improved EEGNet model, performing a cluster state feature extraction operation, and generating a multi-cluster joint vector; constructing a fusion state vector, and outputting emotion recognition results and concentration recognition results through a state discrimination operation; constructing a frequency band correction instruction according to the result of judging state jump information, and outputting the corrected emotion recognition results and concentration recognition results. The application realizes deep perception and fusion modeling of multi-frequency brain wave data, and can accurately and stably recognize the emotional state and concentration degree of an individual in a non-static environment.

The application discloses a high-frequency AC coupling-based flexible interconnection switch structure of a medium-high voltage AC-DC hybrid power distribution network, which comprises two groups of high-frequency AC coupling type modular multilevel converters and a phase-shifted inductor. Each group of the modular multilevel converters adopts a three-phase six-bridge-arm structure and has three power ports of medium voltage DC, medium voltage AC and high-frequency AC; a sub-module of the modular multilevel converter adopts a half-bridge structure; an isolation stage is formed by a full-bridge module and a high-frequency transformer to form a high-frequency AC bus in an AC form at the output end of the high-frequency transformer of each sub-module, so that the coupling offset of low-frequency fluctuation current of the sub-module and the autonomous clamping of the capacitor voltage are realized, and the capacitor volume of the sub-module and the system control strategy are greatly optimized. The phase-shifted inductor is connected between the high-frequency AC buses of the two groups of the modular multilevel converters to form a double active bridge converter structure, and through high-frequency coupling, bidirectional energy transmission between two different voltage grade AC power grids with different working frequencies can be realized. The application can realize the flexible interconnection of the medium-high voltage AC power distribution network, has the advantages of sub-module capacitor voltage self-balancing, high power density and simple control structure.

This invention discloses an integrated identification method and monitoring platform for dangerous driving behaviors of road transport vehicles, relating to the field of vehicle safety alarm system technology. It addresses the problems of existing alarm systems, which are prone to false alarms and have delayed alarms due to their reliance on single thresholds. First, by analyzing the frequency domain characteristics of line of sight and steering torque, the phase lag of the driver's intended action and the low-frequency coupling coefficient are extracted. Then, a dynamic state space matrix is ​​constructed by combining the vehicle's underlying mechanical response lag, and a cognitive-mechanical decoupling index is extracted to quantify the trend of human-machine collaborative loss of control. This index is then fused with the forward continuous collision time margin to construct an alarm modulation transfer function, outputting a time-varying risk warning gradient. Finally, the warning gradient is converted into a trigger signal envelope, triggering multimodal audio-visual and tactile vibration graded alarms and remote telemetry based on high and low frequency components, thus constructing an interference-resistant active warning closed loop, greatly improving driving safety.

This invention provides a method for determining the harmonic stability of a vehicle-grid coupling system with in-phase traction power supply, belonging to the technical field of vehicle-grid coupling systems. This invention inputs 18-dimensional operating parameters into an artificial intelligence physical constraint sequence impedance estimation model, outputting a sequence impedance matrix covering the port characteristics of both the on-board converter and the grid-side converter. Based on the number of retained frequency coupling terms, available video memory, and the total number of CUDA currents, resource allocation coefficients are calculated and dynamically adjusted. A complete vehicle-grid coupling system impedance model is constructed by integrating the sequence impedance matrices from both sides. The stability margin is evaluated using the generalized Nyquist criterion. After comparing the stability margin with a preset threshold, the proportional-integral coefficient of the current inner loop is adaptively adjusted and iterated cyclically. This solves the technical problem of inaccurate stability judgment caused by excessive computational complexity in constructing the sequence impedance matrix and the lack of physical constraints in the harmonic stability analysis of a vehicle-grid coupling system with in-phase traction power supply.

The application relates to the technical field of sleep analysis, in particular to a sleep prediction method and system based on daytime brain electrical cross-frequency coupling and timing characteristics, which comprises the following steps: synchronously collecting daytime brain electrical signals and daytime skin electric response signals of a user in a daytime wake state; extracting timing characteristics of the daytime brain electrical signals to form a daytime brain electrical feature set representing daytime brain fatigue, cognitive load and emotional arousal; preprocessing the daytime skin electric response signals to extract a daytime skin electric feature set containing skin electric fluctuation amplitude and skin electric baseline level characteristics; fusing the daytime brain electrical feature set and the daytime skin electric feature set to generate a daytime neural state feature vector; and inputting the daytime neural state feature vector into a pre-trained deep learning prediction model to output a nighttime sleep prediction result of the user, thereby achieving significant improvement in prediction timeliness, objectivity and prediction accuracy.

The application provides a transformer frequency response test device and method based on convolution compensation, which comprises a signal generating unit, a double-channel signal collecting unit, a data storage and interaction unit, a central processing and control unit, a standardized interface module and a calibration module. By injecting a broadband calibration signal into the test cable, the incident signal, the output signal and the reflected signal are collected to calculate the preliminary transfer function of the cable; the cable transfer function is fitted based on the convolution integral model, the phase frequency characteristic is directly measured by using the reflected signal, and the transfer function of the cable is obtained; then the transformer frequency response test is carried out, the transmission distortion of the excitation cable and the response cable is respectively deconvoluted and compensated, the real transfer function of the transformer winding is calculated, and the amplitude frequency and phase frequency characteristic curves are generated. The frequency coupling effect of the cable is described by introducing the convolution integral operator, the accuracy of the transformer frequency response test is improved, and a reliable basis is provided for the winding deformation diagnosis.

The application provides a radar coherent processing method and system for pulse group frequency repetition period joint agility, comprising the following steps of designing pulse group frequency and repetition period; generating a radar signal; performing two-pulse group MTI processing; performing MTD coherent processing and CFAR detection. The same frequency is used in the pulse group to be compatible with the MTI cancellation of static clutter, and the speed-frequency coupling phase term and the distance-frequency coupling phase term can be compensated by the frequency-pulse repetition period joint agility strategy between pulse groups, so that coherent accumulation is realized.

The application discloses a BLDC coupled high-frequency injection method gradient phase-locked loop control method, and belongs to the technical field of brushless direct current motor control. The method comprises the following steps: constructing a hardware topology: adopting a three-phase inverter to drive a BLDC, and connecting a high-frequency coupling branch composed of a coupling capacitor and a sampling resistor in series in parallel between the end of a three-phase winding and the ground; generating a high-frequency sinusoidal voltage signal through a signal generator, injecting the signal into the stator winding of the motor through the coupling capacitor, and selecting the injection phase according to the sector in which the rotor is located; signal extraction: during the period when two phases are conducted and one phase is suspended, collecting the high-frequency response signal of the terminal voltage of the two conducted phases, detecting the amplitude of the collected signal, and obtaining the voltage amplitude; differential processing: constructing the differential signal of the two conducted phases, eliminating the direct current component through differential operation, and retaining the 2 times frequency component related to the rotor position; normalization processing: constructing a gradient orthogonal signal; and performing coordinate transformation and phase-locked loop position estimation. The application significantly improves the running performance of the BLDC motor under a low-speed heavy-load working condition.

The application provides a kind of analysis method and device for VSC high frequency band impedance characteristic, comprising, the disturbance voltage and disturbance current of target VSC are collected, and sampling voltage and sampling current are determined respectively;Determine the corresponding PWM modulation signal of the frequency component of the PWM sideband;Determine the frequency coupling coefficient between each frequency;Determine the VSC port voltage corresponding to the frequency component according to the frequency coupling coefficient;When VSC port sampling filter, determine the VSC port current of the time;Judge whether the difference between the amplitude and phase value of the VSC port current of the time and the amplitude and phase value of the VSC port current of the previous time meets the preset error allowable value;If not, then determine the VSC port current of the next time again;If satisfied, then calculate the VSC input impedance according to the VSC port current of the time and the corresponding disturbance voltage.The application considers the influence of sampling and PWM sideband effect frequency coupling effect on VSC impedance characteristic, and improves the analysis accuracy of VSC high frequency band impedance characteristic above Nyquist frequency.

This invention relates to a multi-frequency coupled vibration ultrasonic scalpel, comprising: a scalpel handle; at least two piezoelectric ceramic groups, each having a corresponding resonant frequency of the same order when excited; at least one insulating block located between two adjacent piezoelectric ceramic groups; a connecting rod connected to the scalpel handle, with the piezoelectric ceramic groups and the insulating block passing through the connecting rod and pressed against each other; exciting at least one piezoelectric ceramic group to vibrate at at least two resonant frequencies, or exciting at least two piezoelectric ceramic groups to vibrate at at least one resonant frequency, so that the scalpel handle vibrates at a frequency resulting from the coupling of at least two resonant frequencies generated by the piezoelectric ceramic groups. This invention has multiple resonant frequencies and can be driven simultaneously by alternating current corresponding to each frequency, thereby generating multi-frequency coupled vibration at the scalpel tip to improve the cutting and coagulation effects on tissues.

This invention discloses a reconfigurable transmission unit and its dual-frequency transmission metasurface array antenna and satellite system, relating to the field of antenna technology. The reconfigurable transmission unit includes a first dielectric layer and a second dielectric layer. The second dielectric layer is disposed opposite to the first dielectric layer along the Z direction. A transmitting patch is provided on the side of the second dielectric layer away from the first dielectric layer, and a receiving patch is provided on the side of the first dielectric layer away from the second dielectric layer. The receiving patch is divided into an inner patch and an outer patch arranged concentrically by an annular groove. The inner patch is connected to the transmitting patch, and two diodes are connected across the inner patch and the outer patch. By controlling the conduction and cutoff of the two diodes, the reconfigurable transmission unit can switch between two operating states with a phase difference of 180 degrees ± 5 degrees between the two operating states. The technical solution provided by this invention can solve the problems of dual-frequency coupling and loss, and achieve efficient independent phase control.

This invention discloses a frequency coupling suppression method for grid-connected converters based on an improved DC voltage loop. The core of this method is to construct two parallel correction branches—phase compensation and reactive power compensation—on the DC voltage loop control path. The phase compensation branch corrects the phase characteristics of the control loop through a series phase compensator, specifically weakening the negative resistance effect in the system admittance that causes grid oscillations. The reactive power compensation branch extracts electrical quantities at the grid connection point, constructs a virtual reactive current reference signal, and actively generates reactive power, making the DC voltage loop control structure more symmetrical and fundamentally reducing coupling strength. This invention can suppress frequency coupling effects simultaneously from both phase characteristics and structural symmetry dimensions without optimizing existing control parameters, significantly improving the stable operation capability of grid-connected converters under weak grid conditions.

A method for improving the stability of grid-connected inverters across the entire frequency band based on a sequence impedance model, relating to the field of power system technology, is disclosed. The method includes: Step 1, obtaining the grid-connected inverter impedance matrix considering the frequency coupling effect of the inverter through sequence impedance modeling; Step 2, establishing a positive and negative sequence impedance model of the power grid, constructing a single-input single-output impedance expression for the grid-connected inverter, performing stability discrimination, and obtaining the impact of reactive power magnitude on the stability of the grid-connected inverter across the entire frequency band; Step 3, optimizing the reactive current command value of the grid-connected inverter based on the impact of reactive power magnitude on the stability of the grid-connected inverter across the entire frequency band. This invention systematically solves the oscillation problem of grid-connected inverters over a wide frequency range, improves their operational stability under extremely weak power grids, and requires no additional hardware costs, making it easy to implement in engineering.

The present application provides a mental state detection method based on cross-frequency coupling and band attention mechanism, relates to the technical field of electroencephalogram signal processing, and comprises the following steps: preprocessing electroencephalogram data and decomposing the electroencephalogram data into a high-frequency band range and a low-frequency band range, and respectively performing sub-band selection; calculating a phase-amplitude coupling matrix for the multi-channel decomposition result of each sub-band; calculating the attention weight of each pair of sub-bands, and aggregating and convolving features to obtain a unique representation of each band coupling feature; performing multi-scale feature extraction, capturing coupling features with high contribution in different receptive fields and performing feature enhancement processing; a mental state classification network initial model compresses the coupling features after the feature enhancement processing, reduces the dimension of the coupling features, obtains new feature representations, and performs classification training based on the new feature representations through a plurality of full connection layers to obtain an optimized mental state classification network model. The present application can effectively improve the accuracy of the classification model in mental state detection.

This invention belongs to the field of laser processing technology and discloses a control method based on the co-frequency coupling enhancement of electric pulses and nanosecond lasers, including: S1. setting the process parameters of the electric pulse device to 1 / f The current density is J S1. The electrical pulse device is activated and applied to the target workpiece; S2. The electrical pulse device continues to operate. t 1+ n / f Then, the nanosecond laser equipment is activated, and the target workpiece is simultaneously subjected to individual laser shock treatment; S3. Wait t 2+ n / f Then shut down the electrical pulse device; S4. Use the workpiece robot to move the workpiece along the predetermined circular path. r S5. Waiting n / f After the specified time, restart the electrical pulse device and repeat steps S1-S5; S6. Complete all pulse laser counts. m This completes all processing. The present invention achieves uniform strengthening of the material by driving the emission of a nanosecond pulsed laser during the application of a pulsed current, allowing both the electrical pulse and the laser to act simultaneously on the material.

The application discloses a wind farm frequency support control method and device considering reactive power-frequency coupling under a weak power grid, a storage medium and a computer device. The method comprises the following steps: when the current power grid belongs to a weak power grid, collecting the power grid frequency of a wind farm grid connection point and the operation data of each wind turbine in the wind farm, and obtaining target data of the wind farm; calculating the reactive power-frequency coupling degree according to the target data, and determining whether a coupling type frequency event exists according to the reactive power-frequency coupling degree and the power grid frequency of the wind farm grid connection point; if the coupling type frequency event exists, calculating the modified consistency factor of each wind turbine according to the operation data and the reactive power-frequency coupling degree; for a non-leading wind turbine, calculating the output power according to the first coupling compensation amount and the modified consistency factor of the adjacent non-leading wind turbine of the non-leading wind turbine; for a leading wind turbine, calculating the output power according to the second coupling compensation amount and the modified consistency factor of all non-leading wind turbines in the wind farm; and controlling the output power of each wind turbine to realize frequency support.

The application relates to a multi-condition frequency coupling impedance identification method and device using multiple linear regression, wherein the method comprises the following steps: obtaining a frequency coupling admittance matrix of a measured device under multiple conditions to obtain a condition parameter variable matrix; based on the condition parameter variable matrix, a permutation importance index of the condition parameter variable is calculated, a first condition parameter variable set satisfying a first preset key condition of the measured device is determined; based on the first condition parameter variable, the multiple collinearity degree of the condition parameter variable is calculated, a second condition parameter variable set satisfying a second preset key condition is obtained, and a multiple linear regression model for identifying the multi-condition frequency coupling impedance of the measured device is constructed. Therefore, the problems in the prior art that when the number of hidden layers of the neural network impedance fitting algorithm exceeds the model generalization requirement, the training set error and the test set error will produce significant deviation, and when extrapolated to unknown conditions, the error will significantly increase and the generalization ability will be insufficient are solved.

This invention provides a method and system for dynamic optimization of the impact resistance of an anchor-mesh support system. It constructs a unified time baseline and phase reference field based on a synchronous vibration sensor network; identifies abrupt changes in the vibration mode of the metal mesh and extracts the dominant frequency, comparing it with the natural frequency of the surrounding rock to generate a frequency coupling risk region and a phase locking window; maps the risk region to the contact boundary between the metal mesh and the surrounding rock, and deploys energy isolation boundaries and energy transfer channels; based on the high-risk period determined by the phase locking window, it performs prestressed progressive correction on the anchor bolts and adjusts the stress wave propagation characteristics to achieve phase synchronization between the anchor bolts and the metal mesh; constructs a multi-channel energy dissipation path in the synchronization region, and collects real-time vibration status using a high-bandwidth feedback gain path; generates an active suppression signal, driving channels, patches, and mechanisms to generate reverse control commands to suppress vibration abrupt changes. This invention improves structural stability while achieving phase synchronization between the anchor bolts and the metal mesh, enhancing the impact resistance of the support system.

The application discloses a sequence admittance modeling and stability analysis method of a modular multilevel converter, belongs to the field of power system control, carries out two-port equivalence on the modular multilevel converter, obtains a single-phase two-port network with one end being an alternating current port and the other end being a direct current port; adds disturbance in the single-phase two-port network, obtains a linearized model, eliminates intermediate variables of the linearized model, and obtains a single-input multi-output admittance module under a two-port view; the admittance module is used to represent coupling effects of the alternating current port and the direct current port, to obtain self-admittance after considering alternating current-direct current coupling; frequency coupling caused by grid impedance is considered in a controlled source equivalent mode to obtain additional admittance after considering frequency coupling; and the self-admittance after considering alternating current-direct current coupling and the additional admittance after considering frequency coupling are added to obtain a sequence admittance model of the modular multilevel converter. The application can accurately model the modular multilevel converter under grid-connected conditions.