94 results about "Disturbance voltage" patented technology

The invention belongs to the technical field of artificial intelligence, and relates to an artificial intelligence-based electric energy quality disturbance identification and positioning method, which comprises the steps of constructing an electric energy quality disturbance signal data set, performing segmented preprocessing on electric energy quality disturbance voltage data, enhancing time-frequency joint features and encoding disturbance sensitive areas. And constructing a deep learning model for power quality disturbance identification and positioning, and identifying and positioning the power quality disturbance. According to the invention, through adaptive denoising processing, boundary detection and multi-resolution time-frequency feature extraction, the identification precision and positioning precision of power quality disturbance are significantly improved; self-adaptive wavelet denoising and dynamic segmentation are combined, noise interference is effectively suppressed, and the edge characteristics of voltage sudden change points are kept; according to the dual-task sharing network, disturbance identification and positioning tasks are cooperatively optimized, so that the network can consider disturbance classification and time positioning at the same time; and through Bayesian reasoning, the system can output confidence estimation, provides credibility quantification of identification and positioning results, and effectively improves the reliability of the system.

The invention discloses an automatic control method and system for a bias point of a photoelectric modulator, and relates to the field of signal processing, and the method comprises the steps: generating a composite disturbance voltage signal through a digital signal processor; the bias electrode is injected into the photoelectric modulator and used for collecting the optical signal output by the photoelectric modulator and converting the optical signal into an electric signal; extracting a fundamental component amplitude and phase difference data of a second harmonic component, a third harmonic component and a fundamental wave; dynamic characteristic parameters are calculated through spectral analysis, and the mapping relation between the characteristic parameters and the offset of the offset points is established; outputting the offset direction and the offset level of the offset point through a deep learning model; a bias voltage compensation amount is generated through a fuzzy PID (Proportion Integration Differentiation) controller; and adjusting the bias electrode voltage, smoothing the filter, and eliminating high-frequency jitter. The method has the advantages that high-precision and stable bias point adjustment is realized through the composite disturbance signal, real-time spectrum analysis and deep learning optimization decision in combination with fuzzy PID control and a dynamic closed-loop mechanism, and the system performance and stability are remarkably improved.

A high-density ferroelectric memory, and a preparation method therefor and an application thereof, belonging to the field of semiconductor memories. In the memory, multiple memory cells are arranged in an array, and the two sides of the array of the memory cells are connected to substantially orthogonal word lines and bit lines, the memory cell of the present invention adopts a stacked structure of a top electrode, a resistive switching dielectric layer, an intermediate metal layer, a ferroelectric dielectric layer, and a bottom electrode, which is electrically equivalent to a ferroelectric capacitor and a resistive switching selector connected in series; the voltage division of the distributed ferroelectric capacitor in the unselected cells is reduced by regulating the RC delay of the memory cell, so that its disturbance is reduced; and the capacitance value of the ferroelectric capacitor is stable, and the influence of the disturbance voltage can be effectively reduced by RC regulation. The storage window of the memory is improved and the bit error rate is reduced, without increasing additional area overhead.

The invention discloses a doubly-fed induction generator fault detection method combining a sliding-mode observer and a bilateral cumulative sum algorithm, and the method comprises the following steps: designing a doubly-fed induction generator rotor current sliding-mode observer based on the combination of a novel reaching law and a doubly-fed induction generator state equation; carrying out stability and convergence analysis on the designed novel reaching law by adopting a Lyapunov stability theory; and the fault detection method of the doubly-fed induction generator is designed in combination with the optimized bilateral accumulation sum algorithm. A rotor current sensor fault, an input interference voltage fault, a voltage drop fault and a stator turn-to-turn short circuit fault are introduced. The rotor current tracking performance of the designed sliding-mode observer under different doubly-fed induction generator faults is verified by using a residual value obtained by comparing a doubly-fed induction generator rotor current value estimated by the sliding-mode observer with an actual rotor current output value; and meanwhile, the reliability of the designed doubly-fed induction generator fault detection method based on the optimized bilateral cumulative sum algorithm is verified. The doubly-fed induction generator fault detection method combining the sliding-mode observer and the bilateral cumulative sum algorithm has the advantages of being high in tracking precision and accurate in fault state characterization, meanwhile, weak fault features can be effectively converted into digital signals to be output, and faults of the doubly-fed induction generator are detected.

An impedance measurement method and apparatus for a converter, an electronic device, and a medium are applied to the field of converter data calculation and processing. A positive-sequence current disturbance and a positive-sequence voltage disturbance are respectively superimposed at a current value sampling position and a voltage value sampling position of the converter, to obtain a first disturbance current value, a first disturbance voltage value, a second disturbance current value, and a second disturbance voltage value; a first to-be-measured impedance value and a transfer function are determined based on the obtained values; further, a second to-be-measured impedance value and an initial impedance value are determined based on the first to-be-measured impedance value, the transfer function, a filter equivalent impedance value, and relevant parameters of the converter, and a final target impedance value of the converter is determined based on the initial impedance value and a decoupling coefficient.

The invention discloses a dual-frequency positive-sequence impedance modeling method for a network-building type energy storage converter considering frequency coupling. The method comprises the following steps: 1, injecting a dual-frequency positive-sequence disturbance voltage signal at a grid-connected point of the network-building type energy storage converter based on a virtual synchronous machine; 2, establishing a linearized small signal model for each control link of an active-frequency loop, a reactive-voltage loop, a virtual impedance-containing voltage and current double closed loop and the like to form a multi-frequency signal model; and 3, according to the multi-frequency coupling relationship between the current and the voltage, constructing a frequency coupling impedance matrix, and reducing a coupling term into output impedance to obtain the positive sequence output impedance and the negative sequence output impedance of the converter considering the frequency coupling, thereby simplifying the model stability analysis. According to the method, dual-frequency positive sequence disturbance is introduced, the coupling effect between different frequency components is effectively described, the defect that a traditional single-frequency modeling method cannot reflect the multi-frequency interaction characteristic is overcome, and the accuracy and applicability of the impedance model of the network construction type energy storage converter under the multi-frequency disturbance scene are remarkably improved.

The invention relates to an impedance modeling method and device and computer equipment. Comprising the steps that disturbance voltage is injected to the alternating current side of a main circuit, a first relation between a modulation small signal and an alternating current small signal is obtained through alternating current control topology, the disturbance voltage and a phase angle small signal are correlated through a phase-locked loop, and a second relation between the modulation small signal and an alternating voltage small signal is determined; injecting disturbance voltage to the direct current side of the main circuit, and determining a third relationship between the modulation small signal and the alternating current small signal and a fourth relationship between the direct current small signals based on the alternating current control topology and the direct current control topology; and finally, impedance modeling is carried out in combination with a frequency small-signal model, so that self-impedance and coupling impedance characteristics of an alternating current side and a direct current side can be accurately reflected, and a basis is provided for analyzing system stability and optimizing a control strategy.

The invention relates to the field of servo drive control, and provides a self-adaptive control method and system for a high-frequency response current loop of a servo drive system, and the method comprises the steps: collecting an instantaneous state vector set, constructing an input graph snapshot, and fusing a loss item to output a thermal coupling graph neural network model; a current loop total delay and coupling torque model is identified through a parameter and dynamics identification decoder, a next cycle parameter is predicted by combining a future motion instruction, and a composite disturbance voltage set is mapped and output; according to the reference current, the rotating speed, the motor parameter set and the composite disturbance voltage set, outputting feed-forward compensation voltage; calculating a current tracking error, comparing a stability margin and a safety threshold, calculating a feedback control voltage component, superposing a feedforward compensation voltage to synthesize a total instruction voltage, and applying dynamic amplitude limiting to output a safety voltage instruction set. According to the method, thermal-mechanical coupling identification prediction of physical prior and adaptive feedback amplitude limiting of stability margin are fused, and prediction feedforward and stability constraint feedback combined control is constructed.

The utility model discloses an energy storage device comprising a battery module, the battery module comprises a power supply loop and a sampling resistor, and the sampling resistor is arranged in the power supply loop; the analog front end is used for collecting voltage information at the two ends of the sampling resistor; and the buffer circuit is arranged between the sampling resistor and the analog front end, the buffer circuit is connected with the analog front end, and the buffer circuit comprises a capacitor. The capacitor in the buffer circuit absorbs and filters high voltage causing abnormal oscillation of the energy storage device, namely filters disturbance of the high voltage, and smooths waveforms of voltage signals at two ends of the sampling resistor, so that oscillation of the energy storage device caused by interference voltage is avoided, and the stability of the system is improved.

The invention provides a DC-DC converter based on triple BOOST and a control method, and the DC-DC converter is characterized in that the output end of an EMI filter is connected to the input end of a pre-charging module, the output end of the pre-charging module is connected to a triple BOOST main topology module, and the triple BOOST main topology module is connected with a DSP controller; the EMI filter is used for inhibiting overflow of disturbance voltage and disturbance current of the DC-DC converter and preventing external surges and high-voltage pulses from entering the DC-DC converter; the pre-charging module is used for realizing pre-charging of the DC-DC converter; the triple BOOST main topology module is used for improving the current limitation of the input end and reducing the input end current of each BOOST circuit in the triple BOOST main topology module; and the DSP controller is used for controlling the triple BOOST main topology module. And stable operation of the non-isolated DC-DC converter in high-power wide-range input voltage is realized.

The application provides a power system stability analysis method based on impedance measurement data, comprising determining that the current analysis condition is a condition corresponding to an equivalent circuit diagram based on a converter topology structure diagram, wherein a disturbance voltage source is in series or a disturbance current source is in parallel; under the current analysis condition, disturbance voltage components and disturbance current components generated on the converter side are obtained to obtain converter impedance measurement data carrying amplitudes and phase angles at several frequency points, and disturbance voltage components and disturbance current components generated on the power grid side are obtained to obtain power grid equivalent impedance measurement data carrying amplitudes and phase angles at several frequency points; the converter impedance measurement data and the power grid equivalent impedance measurement data at the same frequency point are compared, and according to each comparison result, the risk of oscillation instability of the power system is judged. The application is implemented to reduce the complexity of impedance measurement operation, thereby improving the analysis accuracy.

The invention discloses a voltage sampling method, a source-load all-in-one machine, a device, equipment and a medium, and the method comprises the steps: obtaining initial voltage sampling data and sampling circuit parameters of the source-load all-in-one machine, inputting a sampling resistor precision deviation value and a sampling resistor voltage division ratio of each phase into an interference voltage precision deviation model, obtaining an interference voltage precision coefficient of each phase; calculating according to the initial voltage sampling data and the interference voltage precision coefficient of each phase to obtain the common-mode interference voltage of each phase; calculating a voltage compensation amount corresponding to each phase according to the common-mode interference voltage of each phase; and compensating the initial voltage sampling data according to the voltage compensation amount of each phase to obtain first target voltage sampling data. The voltage sampling precision of the source-load all-in-one machine can be improved.

The invention discloses a method and a device for determining interference information of a cable line on a buried oil and gas transportation pipeline. The method comprises the following steps: acquiring cross-correlation parameters of a cable line and a buried oil and gas transportation pipeline; topological information and cross laying areas corresponding to the cable line and the buried oil and gas transportation pipeline are obtained; generating an electromagnetic interference simulation model according to the cross-correlation parameters, the cross laying area, the anticorrosive layer resistivity and the topological information; electromagnetic influence parameters of different working conditions of the cable line on the buried oil and gas transportation pipeline are determined according to the model; and determining interference current information and interference voltage information of the cable line on the pipeline according to the electromagnetic influence parameters, thereby solving the problems that when the high-voltage transmission line and the buried oil-gas transportation pipeline approach or intersect in the related technology, the power transmission line can sense interference voltage and current on the buried oil-gas transportation pipeline under normal operation and various fault conditions; and hidden dangers are easily caused to the safety of personnel, pipelines and related equipment when the safety limit value is influenced or exceeded for a long time.

The application discloses a method and device for determining interference information of a cable line on a buried oil and gas pipeline. The method comprises: obtaining mutual correlation parameters of the cable line and the buried oil and gas pipeline; obtaining corresponding topological information and cross-laying areas of the cable line and the buried oil and gas pipeline; generating an electromagnetic interference simulation model according to the mutual correlation parameters, the cross-laying areas, the corrosion layer resistivity and the topological information; determining electromagnetic influence parameters of different working conditions of the cable line on the buried oil and gas pipeline according to the model; and determining interference current information and interference voltage information of the cable line on the pipeline according to the electromagnetic influence parameters, thereby solving the problem that in the related art, when a high-voltage transmission line is close to or crosses a buried oil and gas pipeline, the power transmission line will induce interference voltage and current on the buried oil and gas pipeline under normal operation and various fault working conditions, which will long-term affect or exceed the safety limit, and easily cause hidden dangers to the safety of personnel, the pipeline and related equipment.

The invention relates to the technical field of model construction, and particularly discloses a 100GNRZ direct dimming anti-lightning stroke SOP scrambling voltage model construction method based on deep learning, and the method comprises the following steps: S1, collecting the bias voltage, modulation depth, SOP scrambling data and environmental parameters of a thin film lithium niobate modulator in a simulated lightning stroke environment to construct a data set; s2, performing normalization and noise filtering on the data, extracting correlation characteristics of bias voltage and modulation depth and time sequence characteristics of SOP scrambling by adopting a CNN-LSTM hybrid network, and introducing physical characteristics of a modulator as constraints; s3, taking SOP tolerance maximization and photoelectric loss minimization as targets, and training the model through an adaptive gradient descent algorithm to obtain an anti-lightning model; and S4, deploying the model to 100GNRZ direct modulation light transmission equipment, and dynamically generating an optimal bias voltage for compensation by monitoring equipment parameters in real time.

This application discloses a current loop control method, related devices, and a permanent magnet synchronous motor (PMSM), relating to the field of motor control. By feeding forward a disturbance voltage characterizing the voltage change caused by parameter variations in the PMSM, an ideal stator current equation is obtained. The transfer function of the PMSM is obtained by combining the vector expressions of stator voltage and stator current in an orthogonal coordinate system. The first current loop transfer function is determined by combining the first controller transfer function. The coefficient values ​​of each control element are determined by tuning the first current loop transfer function. Then, based on the obtained second controller transfer function and the compensation term for the current loop delay, a control voltage calculation model corresponding to the target coordinate axis is determined. The first control voltage is determined based on the control voltage calculation model and fused with the disturbance voltage to obtain the final control voltage. This achieves high-precision current decoupling control of the PMSM, improving control accuracy and efficiency.

The invention discloses a flyback switching power supply EMC transformer, and belongs to the technical field of switching power supplies. The transformer comprises a transformer framework, a primary side coil, a secondary side coil, an insulated rubber tape and a transformer magnetic core, and is characterized in that the starting point of the primary side coil serves as a winding starting end to be embedded in the innermost part of the transformer and wound at a time, and a shielding layer is not arranged. Through the design, a certain distance is kept between the starting point of the primary side coil with large voltage jump and the secondary side coil, coupling of the primary side coil and the secondary side coil and stray capacitance of the transformer are reduced, and therefore good EMC performance is achieved under the condition that a shielding layer is not needed. Experimental results show that the transformer can achieve good effects in the aspects of continuous disturbance voltage and continuous disturbance power, meanwhile, the manufacturing cost and the process complexity are reduced, and the use of EMI suppression components is reduced.

The present invention discloses a resonant shunt impedance measurement device and its control system. The resonant shunt impedance measurement device comprises an LC series resonant branch, a capacitor-coupled series impedance measurement device (SIMD), and a bypass switch. The LC series resonant branch, the SIMD, and the bypass switch are connected in parallel. The LC series resonant branch flows through the steady-state current of most of the system to be measured without affecting the injection of the disturbance voltage. The control of the resonant shunt impedance measurement device consists of three parts: signal processing, reference generation, and PR-based dual closed-loop control. This control can achieve the control objectives of controllable disturbance voltage output amplitude and minimizing the fundamental current flowing through the SIMD. The present invention can achieve the goal of almost no fundamental current flowing through the SIMD across the entire frequency band, increase the switching frequency of the impedance measurement device, and reduce the size, cost, and loss of the impedance measurement device.

The application relates to a kind of based on network topology feature mapping's flexible straight multi-feeding system small disturbance voltage stability analysis method and system, the method comprises: the network equivalent model of receiving terminal power grid containing multiple flexible direct current feeding is constructed;Based on the network equivalent model of receiving terminal power grid, using Kron reduction method, the voltage Jacobian matrix embedded with active power distribution is obtained;Based on the voltage Jacobian matrix, define dynamic power disturbance graph, and based on the dynamic power disturbance graph, construct weighted laplacian matrix;The weighted laplacian matrix is extended to extended graph laplacian matrix by contract transformation proof, and small disturbance voltage stability is judged based on the extended graph laplacian matrix.Compared with prior art, the application solves the problem that existing modal analysis method is difficult to reveal the global influence of network topology structure and active power distribution on voltage stability, and cannot explain the voltage and power angle dynamic coupling mechanism from the graph theory point of view.

This invention relates to a current bias error compensation method for dual three-phase permanent magnet synchronous motors, addressing the problem of real-time and effective compensation for DC offset errors generated during current measurement. It falls within the field of motor drives. The invention derives a voltage equation considering current sampling errors in a stationary coordinate system, where the offset error of the current sensor manifests as a DC component. The method comprises two cascaded components: an adaptive state observer and a closed-loop compensator. The adaptive state observer estimates the DC offset, while the closed-loop compensator eliminates errors caused by inaccurate motor parameters. Specifically, by introducing the adaptive state observer into the subspace and harmonic subspace of the stationary coordinate system, the system disturbance voltage is estimated in real time. The sampling error current is then derived by inversely solving the physical relationship between the disturbance voltage and the current error, and subtracted from the sampled value using a feedforward method, thereby achieving high-precision current compensation.

The application discloses a grid-connected converter stability analysis system and method based on embedded working point modeling, and the system comprises a GFM-GCC linearization model, a converter impedance model and a stability analysis module; the method comprises the following steps: taking grid-connected small disturbance current in an actual coordinate system as input, and corresponding outputting PCC point small disturbance voltage in the actual coordinate system after disturbance; ignoring power reference value disturbance, obtaining GFM converter port impedance according to and ; and analyzing the stability of the grid-connected converter GFM-GCC control.

The invention discloses a DIMM module test circuit, device and method, and relates to the field of DIMMs, and the DIMM module test circuit comprises a noise voltage generation module which is used for generating PMIC input noise voltage and PMIC output noise voltage; the second input end of the first noise voltage output module is connected with the first noise voltage output end, and the first noise voltage output module is used for generating input disturbance voltage and outputting the input disturbance voltage to the PMIC to be tested after the PMIC standard input voltage accessed by the PMIC standard input voltage access end is interfered according to the PMIC input noise voltage; the second input end of the second noise voltage output module is connected with the second noise voltage output end, and the second noise voltage output module is used for generating output disturbance voltage to the to-be-tested DRAM after the DRAM power supply voltage output by the to-be-tested PMIC is interfered according to the noise voltage output by the PMIC. According to the invention, the change conditions of the input voltage and the output voltage in a complex and changeable scene in reality can be simulated.

The present invention discloses a robust predictive current control method for a synchronous motor adapted to synchronous space vector modulation, belonging to the field of motor operation control, and comprising the following steps: S1, updating the disturbance voltage estimate at the previous sampling moment; S2, calculating the disturbance voltage estimate at the current sampling moment and predicting the observed value of the synchronous motor stator current at the next sampling moment; S3, calculating the voltage drop of the synchronous motor stator winding at the next sampling moment and calculating the observed value of the disturbance voltage at the next sampling moment; S4, mapping the motor command phase to discrete sampling points preset by the SSVM; S5, aligning the voltage command with the sampling points of the SSVM; S6, generating a voltage command; and S7, obtaining an SSVM pulse. The robust predictive current control method for a synchronous motor adapted to synchronous space vector modulation can adapt to changes in the sampling interval of the SSVM under low carrier ratio operating conditions and has extremely fast current tracking response and phase synchronization speed.

The invention discloses an interference suppression circuit and a low dropout regulator, and a unity gain amplifier is used for performing unity gain phase reversal processing on an interference voltage signal of an input voltage accessed by the low dropout regulator so as to output a compensation voltage signal of which the polarity is opposite to that of the interference voltage signal. The compensation voltage signal is coupled to the reference voltage accessed to the grid electrode of the first differential MOS tube through the compensation capacitor, so that the interference voltage signal at the grid electrode of the first differential MOS tube is counteracted with the compensation voltage signal. On the basis, when noise exists in the input voltage and an interference voltage signal is coupled to the grid electrode of the first differential MOS tube, the compensation voltage signal is coupled to the grid electrode of the first differential MOS tube through the unity gain amplifier and the compensation capacitor so as to offset the interference voltage signal; the influence of noise in the input signal on the reference voltage is avoided, and then the stability of the output voltage adjusted based on the reference voltage is improved.

The invention discloses an analysis method for a catalyst layer structure of a fuel cell, which comprises the following steps: S1, preparing a test cell, applying an alternating current disturbance voltage under a set condition, and collecting complex impedance data of a full frequency band to obtain a Nyquist diagram; s2, establishing a mapping relationship between key features of different frequency bands of the Nyquist graph and a catalyst layer structure, and judging structural features of the catalyst layer according to the measured Nyquist graph; and S3, constructing an equivalent circuit model, fitting the equivalent circuit model with the measured Nyquist graph, and quantifying the structural characteristics of the catalyst layer through fitting parameters. According to the method, full-band complex impedance data and catalyst layer structural features are associated through systematic steps, quantitative analysis is achieved by combining equivalent circuit fitting, a clear mapping relation between the structure and the atlas is established, key features such as ionomer distribution, carbon skeleton agglutination and hydrogen cross permeation in the thickness direction of the catalyst layer can be comprehensively and accurately recognized, and the method has a good application prospect. And a standardized and quantifiable technical path is provided for the analysis of the catalyst layer structure.

The invention relates to a transient electromagnetic interference voltage determination method and device, equipment and a medium, and the method comprises the steps: building a field-circuit cooperation model based on a video monitoring system and the parameter information of a cable connected with the video monitoring system; based on the field-circuit cooperation model, obtaining a first interference voltage coupled to a video monitoring system port by space radiation; constructing a multi-conductor transmission line system model based on the transformer substation earth screen and shielding cable simulation model; based on the multi-conductor transmission line system model, acquiring a second interference voltage of the line which is conductively coupled to the video monitoring system port; and superposing the first interference voltage and the second interference voltage to obtain the transient electromagnetic interference voltage of the video monitoring system port. By adopting the method, the problem that the transient electromagnetic interference voltage cannot be accurately determined in the prior art can be solved.

The application discloses a cable conductor AC resistance testing device and method, which directly supplies a large current to a cable conductor, measures the temperature, current and voltage of the powered cable conductor, adopts the measured data and a function relationship between the interference voltage value and the cable conductor radius which is fitted in advance, and obtains the cable conductor AC resistance, so that the reverse current is not applied to the cable metal shielding layer, and the proximity effect between the cable conductor and the shielding layer is avoided to influence the test result.

The utility model provides a hybrid disturbance power grid simulation device. The hybrid disturbance power grid simulation device comprises a rectifier, an inverter, a filter inductor, a fling-cut switch, a filter capacitor and an access point, the alternating current end of the rectifier is used for being connected with an alternating current power supply, the direct current end of the rectifier is connected with the direct current end of the inverter, the alternating current end of the inverter is connected with one end of the filter inductor, and the other end of the filter inductor is connected with one end of the fling-cut switch and the access point. The other end of the fling-cut switch is connected with the filter capacitor; and the access point is used for accessing a tested device or a motor. The hybrid disturbance power grid simulation device not only can be used for generating disturbance voltage, but also can be used for dragging a motor, and the function of an original three-phase power grid disturbance generation device is expanded.

The application discloses an impedance data acquisition method and device, a storage medium and a product, relates to the technical field of converter impedance analysis, and comprises the following steps: acquiring a transient simulation model of a target converter; performing transfer function linearization processing on the transient simulation model to obtain a transfer function analytical model; determining a corresponding impedance expression in the transfer function analytical model; calculating corresponding impedance data based on the impedance expression, a specified frequency and specified parameters of the target converter; calculating an impedance reference value based on a response current measured at a disturbance voltage and a current output position; determining whether the impedance expression meets the requirements based on the impedance reference value and the impedance data, and further calculating target impedance data at a target frequency by using the impedance expression when the requirements are met. The application can quickly and accurately calculate the impedance data of the target converter at any frequency by acquiring the impedance expression and continuously optimizing the impedance expression.

The invention provides an electromagnetic interference suppression method in the electrifying process of an electric connector. Comprising the following steps: starting a multi-parameter monitoring module to collect grounding impedance, temperature variation, working frequency and a multi-core crosstalk coupling coefficient when the electric connector works; quantifying the total interference voltage of the electric connector through an interference coupling calculation module based on the acquired grounding impedance, temperature variation, working frequency and multi-core crosstalk coupling coefficient; a self-adaptive offset phase is calculated through a self-adaptive phase offset circuit according to the quantized total interference voltage, and an adjustable inductor is adjusted to realize phase offset of interference; the shielding effectiveness is corrected through the grounding-phase correction shielding layer according to the calculated self-adaptive offset phase and the collected grounding impedance, and the interference suppression stability can be ensured in a high-frequency scene.