173 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.

The invention provides an electric energy quality disturbance identification method based on data driving, and belongs to the technical field of electric energy quality disturbance identification, and the method comprises the following steps: S1, obtaining an electric energy quality disturbance voltage signal in a set time period of a power distribution network; s2, performing data enhancement on the power quality disturbance voltage signal based on Hilbert transform, and amplifying disturbance data in the power quality disturbance voltage signal; s3, using an MLSTM-FCNs model, inputting the power quality disturbance voltage signal subjected to data enhancement into the MLSTM-FCNs model to pre-train the power quality disturbance voltage signal, and finally obtaining and storing an optimal training model; and S4, taking the optimal training model as a feature extractor, establishing and training a width learning classification model based on a width learning algorithm, classifying power quality disturbance voltage signals through the width learning classification model, and outputting an identification result of disturbance data. And the method has better robustness.

The embodiment of the utility model discloses an overvoltage protection circuit and a device thereof. The circuit comprises a switch unit; the input end of the switch unit is connected with input power; a control unit; the input end of the control unit is connected with a signal source, and the output end of the control unit is connected with the controlled end of the switch unit; a protection unit; the input end of the protection unit is connected with an input power supply. The output end of the protection unit is connected with the controlled end of the switch unit. The switch unit outputs a second voltage in response to a control signal input by the control unit; when the first voltage input by the input power supply is greater than a protection voltage threshold, the protection unit outputs a protection signal to the switch unit, so that the switch unit stops outputting the second voltage. According to the mode, the overvoltage protection circuit composed of the voltage stabilizing diode is arranged on the power supply part, so that the overvoltage protection of the power supply part is realized, a post-stage module is prevented from being damaged by over-high interference voltage input, and the reliability and the safety of the power supply circuit are improved.

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 the technical field of electric power, in particular to an AI-based voltage monitoring and voltage sag judgment method, a medium and equipment. The method comprises the following steps of voltage sag source judgment device configuration, voltage and current monitoring and effective value calculation, voltage sag judgment and recording, disturbance voltage and disturbance current calculation, voltage sag characteristic analysis and reason judgment and voltage sag source judgment AI technology. Real-time monitoring of a power grid operation state and timely discovery of a voltage sag event are ensured, and safety and stability of power grid operation are improved; the accuracy of voltage sag source judgment is improved through the AI technology, the AI model is used for processing and analyzing the real-time data of the power grid, intelligent judgment and prediction of the voltage sag source are achieved, and the operation efficiency and reliability of the power grid are improved.

The invention is suitable for the technical field of inverter grid-connected system impedance measurement, and provides an inverter grid-connected system overall impedance frequency sweeping method under an unbalanced working condition. Comprising the following steps: respectively injecting a plurality of positive-sequence disturbance voltage signals with different frequencies and a plurality of negative-sequence disturbance voltage signals with different frequencies into a disturbance injection point on a power grid side of an inverter grid-connected system, and collecting voltage signals and current signals of the disturbance injection point when the plurality of positive-sequence disturbance voltage signals with different frequencies are injected; acquiring a voltage signal and a current signal of a disturbance injection point when a plurality of negative sequence disturbance voltage signals with different frequencies are injected; and based on the collected voltage signals and current signals, obtaining positive sequence impedance measurement values and negative sequence impedance measurement values of the whole inverter grid-connected system under a plurality of different frequencies. According to the invention, the overall impedance frequency sweeping of the inverter grid-connected system under the unbalanced working condition can be realized.

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 discloses a current control method for a permanent magnet synchronous motor at a high speed and a low carrier wave ratio, and aims to solve the problem that the current instruction tracking performance of a discrete time domain complex vector current controller at the high speed and the low carrier wave ratio is reduced due to insufficient damping of the discrete time domain complex vector current controller. Therefore, the damping ratio of the control system is improved, the influence of disturbance voltage caused by parameter change, back electromotive force change and nonlinearity of the inverter on current instruction tracking can be suppressed, and meanwhile, the problem of current coupling caused by inductance change is avoided; current overshoot can be reduced and current fluctuation caused by interference voltage can be suppressed under the condition that electrical parameters change or are uncertain.

The invention belongs to the technical field of inverter IGBT module detection, and particularly relates to an inverter IGBT module bonding wire health state detection method based on differential mode interference and computer equipment, and the method comprises the following steps: 1) obtaining a differential mode interference voltage peak value of an inverter under a set frequency band in an inversion process; 2) calculating the bonding wire equivalent impedance when the bonding wire falling number is a bonding wire falling number threshold value, and calculating the bonding wire falling number according to the pre-obtained relationship between the bonding wire equivalent impedance of the inverter IGBT module in different states in the action process and the differential mode interference voltage in the complex frequency domain; obtaining a differential mode interference voltage corresponding to the bonding wire falling-off number threshold value under a set frequency band, and determining a differential mode interference voltage threshold value according to the obtained differential mode interference voltage; and comparing the differential-mode interference voltage peak value with a differential-mode interference voltage threshold value, and if the differential-mode interference voltage peak value is greater than or equal to the differential-mode interference voltage threshold value, judging that the bonding wire falling number of the IGBT module of the inverter is greater than or equal to a bonding wire falling number threshold value.

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 invention discloses an inverter dead time compensation method and a permanent magnet synchronous motor control system, an inverter is used for driving a permanent magnet synchronous motor, and the inverter dead time compensation method comprises the following steps: determining a Luenberger observer according to a mathematical model of the permanent magnet synchronous motor; according to the q-axis actual voltage of the permanent magnet synchronous motor, the q-axis actual current of the permanent magnet synchronous motor and the angular frequency of the permanent magnet synchronous motor, the estimated value of the q-axis disturbance voltage of the permanent magnet synchronous motor is calculated through a Luenberger observer; and according to the estimated value of the q-axis disturbance voltage of the permanent magnet synchronous motor, the dead zone compensation time of the inverter is adjusted through a PI regulator, so that the estimated value of the q-axis disturbance voltage of the permanent magnet synchronous motor approaches 0. According to the method, the dead zone compensation time of the inverter can be adjusted on line, so that the estimated value of the q-axis disturbance voltage of the permanent magnet synchronous motor is close to 0, the influence of the q-axis disturbance voltage is eliminated, the distortion of phase voltage is further inhibited, the current fluctuation is finally relieved, and the torque ripple is reduced.

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 relates to the technical field of direct-current brush motors, and discloses a disturbance voltage filter circuit of a direct-current brush motor, which comprises a wiring terminal J1 connected to a live wire, a wiring terminal J2 connected to a zero wire and a rectifier bridge BR1, and a filter circuit is also connected between the rectifier bridge BR1 and the direct-current brush motor; differential-mode noise is suppressed through the added differential-mode inductor, the amplitude and frequency of the noise are effectively reduced, the electromagnetic compatibility of the circuit is improved, the filtering effect can be further improved through the design that the resistor is connected to the differential-mode inductor in parallel, a damping network can be formed through the addition of the resistor, residual energy in the inductor can be absorbed and dissipated, the resonance phenomenon is reduced, and the filtering effect is improved. The two same differential mode inductors are added, and the resistors are connected to the differential mode inductors in parallel, so that the configuration of the filter circuit is more flexible, the values of the differential mode inductors and the resistors can be adjusted according to actual needs, and the optimal filtering effect is achieved.

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.