121 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 provides a power system stability analysis method based on impedance measurement data. The method comprises the following steps: determining that a current analysis working condition is a working condition in which a disturbance voltage source is connected in series or a disturbance current source is connected in parallel in an equivalent circuit diagram corresponding to a converter topological structure diagram; under the current analysis working condition, acquiring a disturbance voltage component and a disturbance current component generated at the converter side so as to obtain converter impedance measurement data carrying amplitudes and phase angles at a plurality of frequency points, and acquiring a disturbance voltage component and a disturbance current component generated at the power grid side so as to obtain the impedance measurement data; obtaining power grid equivalent impedance measurement data carrying amplitudes and phase angles under a plurality of frequency points; and comparing the impedance measurement data of the converter with the equivalent impedance measurement data of the power grid at the same frequency point, and judging the risk of oscillation instability of the power system according to each comparison result. Implementation of the invention aims to reduce complexity of impedance measurement operation, thereby improving analysis accuracy.

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 discloses an impedance measurement method based on PRBS broadband disturbance injection. The method comprises the following steps: determining broadband disturbance signal basic parameters; generating a PRBS signal according to the broadband disturbance signal basic parameter; the PRBS signal is used as a voltage loop instruction value of a single-phase H-bridge DC / AC converter at the rear stage side in the broadband impedance measurement device, and the on and off of a power device of the single-phase H-bridge converter are controlled through bipolar SPWM multi-level modulation, so that the broadband impedance measurement device provides disturbance voltage for a system to be measured; the broadband impedance measuring device is connected between the to-be-measured system and the bus in series; and sampling the voltage and current response of the to-be-tested system in the stable operation time period of the disturbance voltage, and calculating the impedance of the to-be-tested system according to the sampled voltage and current response. According to the scheme, PRBS signals are adopted, the spectral range is wider, the amplitude is more uniform, and the impedance measurement effect is better.

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 discloses a wind power plant sweep frequency impedance analysis method and device based on a differential neural network, electronic equipment and a storage medium. The method comprises the steps of obtaining a wind power plant simulation model, a wind speed of a wind power plant at a to-be-analyzed moment, a bus voltage of the wind power plant at the to-be-analyzed moment and a plurality of to-be-input disturbance voltages; adding each disturbance voltage and the bus voltage to obtain a plurality of superposed voltages; converting each superimposed voltage to obtain a plurality of superimposed direct current side voltages; combining each superposed direct current side voltage with the wind speed to generate a plurality of groups of input data; inputting each group of input data into the wind power plant simulation model in sequence to generate each disturbance fan side current; calculating and generating an impedance value corresponding to each disturbance voltage according to each disturbance fan side current and the corresponding disturbance voltage; and according to the impedance value corresponding to each disturbance voltage to be input, wind power plant sweep frequency impedance analysis is carried out. By implementing the method, the efficiency of frequency sweep impedance analysis of the wind power plant can be improved.

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 present invention provides a control method and device for a three-phase converter port impedance measurement device, including measuring the electrical parameters of the port impedance measurement device; taking the electrical parameters of the port impedance measurement device as input quantities, inputting them into a preset pre-measurement model and a preset command quantity model, and respectively determining the pre-measurement and command quantity of the port impedance measurement device according to the change in the disturbance voltage frequency output by the port impedance measurement device; determining a design index function according to the pre-measurement and command quantity of the port impedance measurement device; using a model predictive control strategy to determine the switching state of the port impedance measurement device in the next switching cycle according to the design index function, so as to realize the control of the port impedance measurement device. The present invention performs segmented control for command signals of different frequencies, realizes precise voltage output in a wide frequency domain, enables the control signal to cancel the influence of the main circuit of the device under test, and realizes the control of the port impedance wide-frequency measurement device.

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 relates to a system and method for operating a vehicle. The system includes an inverter, a motor, and a sensor for measuring a phase current between the inverter and the motor in a first phase cycle in which the inverter is operated at a first voltage. The processor predicts an observation phase current and an original interference voltage of the second phase cycle according to the phase current, calculates a damping voltage correction of the second phase cycle according to the observation phase current, and calculates an interference voltage correction of the second phase cycle according to the original interference voltage. Calculating a final voltage in the second phase cycle from the core current regulator voltage, the damping voltage correction, and the disturb voltage correction, calculating a second voltage in the first phase cycle by applying a delay to the final voltage in the second phase cycle; and applying a second voltage at the inverter.

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 invention relates to a disturbance compensation circuit of an energy storage converter and a disturbance control system of the energy storage converter, one end of a compensation device is connected with a direct current power supply, the other end of the compensation device is connected with the energy storage converter, and the compensation device is used for compensating direct current provided by the direct current power supply and inputting the compensated direct current to the energy storage converter. A disturbance voltage is provided for the energy storage converter; the first end of the energy storage converter is connected with the anode of the direct-current power supply, and the second end is connected with the cathode of the direct-current power supply for converting direct current input by the compensation device into alternating current; the first end of the low-pass filter is connected with the second end of the energy storage converter; the first end of the power grid is connected in series with the second end of the low-pass filter, and the second end of the power grid is grounded. The disturbance compensation circuit of the energy storage converter has the characteristic of disturbance lossless injection. The disturbance control system of the energy storage converter is based on the disturbance compensation circuit of the energy storage converter, and has the characteristic of accurately regulating and controlling the disturbance voltage.

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 utility model relates to a step-down circuit. The step-down circuit comprises a voltage conversion module and an anti-interference module, the input end of the voltage conversion module is electrically connected with the power supply module, the first end of the voltage conversion module is electrically connected with the reference voltage module through the anti-interference module, and the second end of the voltage conversion module is grounded through the anti-interference module; wherein the voltage conversion module is used for converting power supply voltage provided by the power supply module into first voltage required by the reference voltage module, and the anti-interference module is used for filtering interference voltage generated in the process that the voltage conversion module provides the first voltage for the reference voltage module. According to the step-down circuit provided by the invention, the stable first voltage is output through the anti-interference module, and the internal circuit of the reference voltage module is prevented from being damaged by abnormal voltage. And the circuit modules required in the step-down circuit are fewer, so that the power density of the whole energy storage system can be improved while the area of a PCB (Printed Circuit Board) in the energy storage system is reduced.

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 power supply input identification method, a power supply input identification circuit and electronic equipment, which are applied to input identification of a power supply conversion circuit, and the power supply input identification method comprises the following steps: obtaining an input voltage of the power supply conversion circuit; obtaining a primary voltage outer loop output value by using a difference value between the input voltage and a disturbance input voltage given value; detecting whether the primary voltage outer loop output value is smaller than the maximum amplitude limiting value or not; if the primary voltage outer loop output value is smaller than the maximum amplitude limiting value, the power conversion circuit is determined as photovoltaic power input; and if the primary voltage outer loop output value is not less than the maximum amplitude limiting value, determining that the power supply conversion circuit is a DC voltage source input. Through the mode, the power supply input identification method intelligently identifies the input type of the power supply conversion circuit by judging whether the primary voltage outer loop output value is smaller than the maximum amplitude limiting value or not, namely judging whether disturbance voltage outer loop output is full or not, so that the control logic is simpler, the operation complexity of a user is reduced, and the reliability of a system is improved.

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.