Dual-drive electromagnetic interference suppression method and device based on random PWM and impedance matching

Abstract

The invention discloses a dual-drive electromagnetic interference suppression method and device based on random PWM and impedance matching, and relates to the technical field of power electronics and electromagnetic compatibility, and the method comprises the steps: constructing an instantaneous PWM frequency modulation model based on a random PWM mechanism; determining a frequency dynamic disturbance boundary constraint function; constructing a digital controller with a spectral domain feedback function; based on an instantaneous PWM frequency modulation model, a frequency dynamic disturbance boundary constraint function and a digital controller, double-drive electromagnetic interference suppression is carried out on the high-frequency and high-density power electronic system based on multi-harmonic observation and feed-forward compensation. By constructing a frequency spectrum decoupling-impedance reconstruction-collaborative suppression system, the technical bottlenecks of large size and narrow coverage range of single random PWM modulation of a traditional passive filter are broken through, and the filter has the advantages of wide frequency band coverage and high suppression precision.

Description

Technical Field

[0001] This application relates to the fields of power electronics and electromagnetic compatibility technology, and in particular to a dual-drive electromagnetic interference suppression method and device based on random PWM and impedance matching. Background Technology

[0002] With the expanding application of wide-bandgap devices (such as silicon carbide metal-oxide-semiconductor field-effect transistors (SiC MOSFETs)) in high-frequency, high-efficiency power conversion systems, their extremely high switching speeds, while significantly improving system energy efficiency and dynamic performance, also exacerbate electromagnetic interference (EMI) problems. To balance system efficiency, cost, and electromagnetic compatibility under high-frequency operating conditions, a hybrid inverter topology (Si / SiC parallel inverter topology) has been developed in recent years, utilizing Si IGBTs to carry the fundamental current and SiC MOSFETs to handle high-frequency dynamic components, achieving complementary performance and dynamic current sharing between the two types of devices. However, during operation, this structure is prone to common-mode voltage fluctuations, resonant coupling, and cross-interference effects due to significant differences in device on-state voltage drop, switching speed, and drive logic, becoming a major source of conducted and radiated EMI. EMI not only affects the quality of the system output current but can also interfere with controller operation, damage communication interfaces, shorten device lifespan, and even cause system failures, becoming a core bottleneck restricting the widespread application of this type of topology in engineering. Therefore, it is urgent to develop effective suppression mechanisms to address the electromagnetic interference problem of Si / SiC parallel inverter topologies, in order to ensure the stability, reliability, and electromagnetic compatibility performance of the system under high-frequency and high-voltage conditions.

[0003] Existing EMI suppression technologies mainly fall into two categories: passive filtering methods, which construct physical filtering networks using LC filters, common-mode chokes, etc., effectively attenuating interference signals in specific frequency bands. However, these methods suffer from drawbacks such as large size, heavy weight, design dependence on system parameters, and poor adaptability to wide-band interference. Active suppression strategies, such as random PWM modulation, weaken interference peaks by expanding the interference spectrum distribution and reducing the energy density per unit frequency point. This has become a hot research area in the field of EMC (electromagnetic compatibility) in recent years. However, traditional random PWM modulation still has the following key problems: First, the nondeterminism of modulation introduces additional output current harmonic disturbances, affecting the system's steady-state performance and control accuracy. Second, the dynamic change of the system's equivalent output impedance under random modulation easily leads to source-load impedance mismatch, which in turn induces interference signal reflection and parasitic resonance effects, forming new interference paths. Meanwhile, to further reduce system common-mode interference and power device stress, dual-drive structures (e.g., independently driving Si IGBTs and SiC MOSFETs) are gradually being introduced into inverter topology control. This structure achieves harmonic frequency domain current shunting and drive timing decoupling control through the synergistic effect of differences in device characteristics, demonstrating significant potential in dynamic performance optimization and intrinsic suppression of interference energy. However, due to differences in on-state voltage drop, switching speed, capacitance characteristics, and equivalent impedance between the two types of devices, complex electromagnetic coupling problems such as cross-interference, uneven current distribution, and common-mode loop resonance are easily generated during parallel operation, posing new challenges to the system's EMI environment. Therefore, relying solely on traditional PWM modulation strategies or passive filtering methods is no longer sufficient to meet the high-performance, wide-bandwidth, and dynamically adaptive requirements of modern high-frequency, high-density power conversion systems for electromagnetic interference suppression. There is an urgent need to construct a novel EMI suppression method system that integrates topology synergy, modulation control, and impedance matching mechanisms.

[0004] In summary, there is an urgent need for an electromagnetic interference suppression method that integrates modulation algorithms and circuit structure co-optimization design, which can improve the dynamic performance of the system while fully ensuring its electromagnetic compatibility. Summary of the Invention

[0005] The purpose of this application is to provide a dual-drive electromagnetic interference suppression method and device based on random PWM (Pulse Width Modulation) and impedance matching. By constructing a spectrum decoupling-impedance reconstruction-cooperative suppression system, it breaks through the technical bottlenecks of traditional passive filters being large in size and having a narrow coverage of single random PWM modulation, and has the advantages of wide bandwidth coverage and high suppression accuracy.

[0006] To achieve the above objectives, this application provides the following solution: In a first aspect, this application provides a dual-drive electromagnetic interference suppression method based on random PWM and impedance matching, characterized in that the method is applied to a high-frequency, high-density power electronic system, and the method includes: An instantaneous PWM frequency modulation model is constructed based on a random PWM mechanism; the instantaneous PWM frequency modulation model is constructed based on high-order dynamic disturbance, historical memory response and spectrum overlap control; Determine the boundary constraint function for frequency dynamic disturbance; Construct a digital controller with spectral domain feedback functionality; Based on the instantaneous PWM frequency modulation model, the frequency dynamic disturbance boundary constraint function, and the digital controller, dual-drive electromagnetic interference suppression is performed on high-frequency, high-density power electronic systems based on multi-harmonic observation and feedforward compensation.

[0007] Secondly, this application provides a computer device, including: a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor executes the computer program to implement the above-described dual-drive electromagnetic interference suppression method based on random PWM and impedance matching.

[0008] According to the specific embodiments provided in this application, the following technical effects are disclosed: This application provides a dual-drive electromagnetic interference suppression method and device based on random PWM and impedance matching. Combining dual-channel heterogeneous random PWM modulation and impedance dynamic shaping control strategies, it suppresses mid-to-high frequency electromagnetic radiation and conducted interference caused by modulation coupling, parasitic parameter excitation, and resonant paths in dual-drive systems under high-frequency operating conditions. The random PWM mechanism constructs an instantaneous PWM frequency modulation model that integrates high-order dynamic disturbances, historical memory response, and spectral overlap control. By designing a frequency dynamic disturbance boundary constraint function, it achieves a non-overlapping distribution of the modulation spectra of the Si IGBT and SiC MOSFET inverter topologies, reducing the interference aggregation effect caused by spectral superposition at the source. The impedance dynamic adjustment algorithm is based on real-time FFT (Fast Fourier Transform) spectrum identification and complex impedance modeling. A digital controller with spectral domain feedback function is designed to adaptively adjust the output virtual impedance and reconstruct the electromagnetic coupling path characteristics.

[0009] This application applies to the active suppression and control of conducted and radiated EMI in power conversion devices (such as inverters, motor drives, and power modules), and is particularly applicable to electromagnetic interference problems caused by high-frequency switching in parallel Si IGBT and SiC MOSFET inverter topologies. This method constructs a dual-channel heterogeneous random PWM modulation mechanism to dynamically decouple the two power device channels in the switching spectrum, reducing modulation crosstalk effects at the source and improving mid-to-high frequency electromagnetic radiation and conducted interference.

[0010] To further improve the electromagnetic compatibility of the system, this application introduces an impedance dynamic adjustment strategy based on FFT spectrum identification and complex impedance modeling, constructs a digital controller with spectral domain feedback, adaptively adjusts the equivalent output impedance of the dual-drive channel, and accurately suppresses common-mode / differential-mode interference and resonance spikes caused by parasitic parameter excitation and source-load impedance mismatch.

[0011] This application has advantages such as strong spectrum non-overlap, high impedance reconstruction capability, wide interference suppression range, and strong engineering feasibility. It is particularly suitable for new power electronic systems with high frequency and high power density. It can significantly improve the electromagnetic compatibility performance and operational stability of the system under complex operating conditions, and break through the technical bottlenecks of traditional filtering methods and single random modulation strategies in terms of suppression bandwidth and suppression accuracy. Attached Figure Description

[0012] To more clearly illustrate the technical solutions in the embodiments of this application or the prior art, the drawings used in the embodiments will be briefly introduced below. Obviously, the drawings described below are only some embodiments of this application. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0013] Figure 1 This is a flowchart of a dual-drive electromagnetic interference suppression method based on random PWM and impedance matching in one embodiment of this application; Figure 2 This is a diagram showing the parallel connection of a Si IGBT and SiC MOSFET inverter topology in one embodiment of this application. Detailed Implementation

[0014] The technical solutions of the embodiments of this application will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of this application, and not all embodiments. Based on the embodiments of this application, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of this application.

[0015] To make the above-mentioned objectives, features and advantages of this application more apparent and understandable, the application will be further described in detail below with reference to the accompanying drawings and specific embodiments.

[0016] In one exemplary embodiment, a dual-drive electromagnetic interference suppression method based on random PWM and impedance matching is provided. This method is applied to a high-frequency, high-density power electronic system, particularly a parallel structure of Si IGBT and SiC MOSFET inverter topologies (such as...). Figure 2 ).

[0017] like Figure 1As shown, the dual-drive electromagnetic interference suppression method based on random PWM and impedance matching includes: Step 101: Construct an instantaneous PWM frequency modulation model based on the random PWM mechanism. The instantaneous PWM frequency modulation model is constructed based on high-order dynamic disturbance, historical memory response, and spectrum overlap control.

[0018] Step 102: Determine the frequency dynamic disturbance boundary constraint function.

[0019] Step 103: Construct a digital controller with spectral feedback functionality.

[0020] Step 104: Based on the instantaneous PWM frequency modulation model, frequency dynamic disturbance boundary constraint function and digital controller, dual-drive electromagnetic interference suppression is performed on the high-frequency high-density power electronic system based on multi-harmonic observation and feedforward compensation.

[0021] The instantaneous PWM frequency modulation model is as follows: .

[0022] In the formula, The carrier frequency of the i-th inverter topology at time t is represented; the first inverter topology is the Si IGBT inverter topology; the second inverter topology is the SiC MOSFET inverter topology. Represents the reference PWM frequency for the i-th inverter topology; This represents the maximum perturbation frequency amplitude for the i-th inverter topology; Let represent the random disturbance source function of the i-th inverter topology at time t; Let represent the random disturbance source function of the i-th inverter topology at time τ; when i=1, the random disturbance source function adopts a Gaussian distribution function; when i=2, the random disturbance source function adopts a Beta distribution function. The disturbance memory factor parameter represents the i-th inverter topology; Represents the exponential decay coefficient of the i-th inverter topology; Let represent the disturbance derivative feedback coefficient for the i-th inverter topology.

[0023] The frequency dynamic perturbation boundary constraint function can dynamically adjust the perturbation amplitude according to the spectral energy, thereby enhancing the spectral domain security and system robustness of the frequency modulation strategy. The frequency dynamic perturbation boundary constraint function is: .

[0024] In the formula, Indicates the upper limit of the dynamic frequency disturbance boundary; Indicates the maximum frequency disturbance amplitude; Indicates the disturbance sensitivity factor; This represents the interference energy detected in real time within the frequency range by the inverter topology; Indicates the spectrum security threshold; This represents the interference energy detected in real time within the frequency range of the i-th inverter topology at time t. It is the system's interference energy within a specific frequency range at a certain point in time. The EMI energy density or power spectrum integral results are used to determine whether it is necessary to shrink the modulation frequency boundary, thereby controlling the PWM spread spectrum interference behavior; This indicates the lower limit of the spectral energy integration, used to describe the starting point of the EMI frequency band that is to be monitored or controlled; This indicates the upper limit of the spectral energy integration, used to describe the end point of the EMI frequency band that is to be monitored or controlled; Indicates the frequency range; Indicates the width of the time-domain window; This represents the output voltage signal of the i-th channel at time τ; Represents a time-domain window function (such as the Hanning window); This represents the frequency variable, used as a scanning variable in the frequency domain integration process.

[0025] Dual-drive electromagnetic interference suppression for high-frequency, high-density power electronic systems based on multi-harmonic observation and feedforward compensation includes: Step 1: Use a Kalman filter to obtain the estimated values ​​of each harmonic signal in the power supply system in real time.

[0026] First, a multi-harmonic observation module monitors the harmonic signals in the power supply system in real time. This module uses an improved Kalman filter algorithm to dynamically estimate the amplitude and phase of each harmonic signal in the power supply system. By optimizing the prediction error of the harmonic signals, the Kalman filter updates the amplitude and phase estimates of each harmonic signal in real time, ensuring that the system can accurately track harmonic changes.

[0027] Step 2: An adaptive phase-locked loop (PLL) algorithm is used to adjust the frequency based on the phase difference between the grid signal and the reference signal to synchronize the grid frequency and phase, thus obtaining accurate values ​​for each harmonic signal. After synchronizing the grid frequency and phase, the grid signal remains synchronized with the reference signal.

[0028] Next, the frequency and phase of the power grid are synchronized using an adaptive phase-locked loop (PLL) algorithm. The PLL algorithm calculates the phase difference between the power grid signal and the reference signal, adjusts the frequency, and keeps the power grid signal synchronized with the reference signal. This process ensures the accuracy of the multi-harmonic observation module, enabling subsequent harmonic signal estimation to obtain accurate phase information.

[0029] Step 3: By inversely calculating the amplitude and phase of each harmonic signal, a current compensation signal is obtained. The current compensation signal is equal in amplitude and opposite in direction to the harmonic signals of the Si IGBT inverter topology.

[0030] After obtaining the precise harmonic amplitude and phase, the feedforward compensation module generates a current compensation signal that is equal in amplitude and opposite in direction to the harmonics. The compensation signal is generated by reversing the amplitude and phase of each harmonic signal. These reverse current signals are used to suppress harmonics in the inverter output, ensuring that the system's output power quality meets standard requirements.

[0031] Step 4: Determine the gain of the current compensation signal based on the load power change using a gain scheduling mechanism.

[0032] To cope with load changes and overload conditions, the gain scheduling mechanism adjusts the gain of the compensation signal in real time according to changes in load power. When the system load changes abruptly, the gain scheduling mechanism can adjust the gain of the compensation signal to ensure that the compensation signal can still work efficiently under different load conditions. This adjustment process ensures that the system can maintain high harmonic suppression performance even under changing load environments.

[0033] Step 5: Determine the current compensation signal after gain scheduling optimization based on the current compensation signal and its gain.

[0034] Step 6: Input the current compensation signal after gain scheduling optimization into the high-frequency, high-density power electronic system.

[0035] Finally, the gain-optimized reverse compensation current signal is output to the system to adjust the inverter's output current in real time, thereby effectively suppressing harmonic pollution in the system. The entire system continuously adjusts according to real-time load changes and harmonic characteristics to ensure stable inverter output current and improved power quality. This process maintains the system's high efficiency and stability in complex and dynamic load environments.

[0036] Specifically, the multi-harmonic observation module employs an improved Kalman filter algorithm and an adaptive phase-locked loop algorithm to acquire the amplitude and phase of each harmonic in real time and provide feedback signals to the compensation module. The multi-harmonic observation module uses an improved Kalman filter algorithm to acquire the amplitude and phase of each harmonic in the power supply system in real time. The amplitude and phase of each harmonic in the power supply system are as follows: .

[0037] in, .

[0038] In the formula, This represents the estimated value of the k-th harmonic, used to describe the amplitude and phase of the predicted harmonic; This represents the estimated value of the (k-1)th harmonic, used to describe the amplitude and phase of the previous harmonic; Indicates Kalman gain; The measurement variable at time k is the measured value at time k, which is the actual observation signal obtained from the sensor. The measurement matrix represents time k; the prediction error covariance S describes the reliability of the system state estimation, reflecting the estimation error of the system when making predictions. The prediction error covariance matrix at time k is used to describe the prediction error of the system state. H represents the transpose of the measurement matrix; H represents the measurement matrix, which describes the linear relationship from the system state to the observation. The measurement matrix H describes how the system state is mapped to the measurement space, and represents the linear relationship from the system state to the observation. For each time k, H is a constant matrix (assuming that the system and the measurement process have a linear relationship). Representing the measurement noise covariance, it describes the noise intensity during the measurement process and is usually assumed to be a constant. It reflects the measurement error caused by sensor accuracy limitations or other external interference. The prediction error covariance matrix at time k-1 is used to describe the prediction error of the system state at the previous time step. This represents the state transition matrix, used to describe the change of the system state from time k−1 to time k; represents the transpose of the state transition matrix; Q represents the process noise covariance matrix, which is used to describe the noise in the dynamic process of the system and is usually estimated by the system model and changes in the external environment; Represents the state variable at time k; This represents the measurement noise at time k.

[0039] The frequency and phase of the power grid are synchronized using the following formula: .

[0040] In the formula, Indicates the phase of the power grid at time t; Indicates the phase of the power grid at time t; This represents the gain parameter, used to control the synchronization speed; This represents the phase error signal, used to describe the phase difference between the power grid signal and the reference signal; Indicates the grid input voltage signal; This represents the reference voltage signal.

[0041] The current compensation signal is: .

[0042] In the formula, The current compensation signal represents time t; N Indicates the total number of harmonics; This represents the current amplitude of the nth harmonic. Indicates the reference frequency; The phase of the nth harmonic is obtained through a phase-locked loop.

[0043] The gain of the current compensation signal is: .

[0044] In the formula, This represents the gain of the current compensation signal at time t; Indicates the initial gain; Indicates the adjustment coefficient; This indicates the amount of load power change, used to describe the magnitude of the load change.

[0045] The current compensation signal after gain scheduling optimization is: .

[0046] In the formula, This represents the current compensation signal after gain scheduling optimization at time t. This represents the gain of the current compensation signal at time t; This represents the current compensation signal at time t.

[0047] The method provided in this application integrates dual-channel heterogeneous random PWM modulation and impedance dynamic shaping control strategies to actively suppress mid-to-high frequency conducted and radiated interference caused by modulation coupling, parasitic parameter excitation, and resonant paths under high-frequency operating conditions. The proposed random PWM modulation mechanism introduces high-order dynamic disturbances, historical response weights, and spectral interleaving control to construct an instantaneous modulation frequency model, ensuring that the switching spectra of Si IGBT and SiC MOSFET channels do not overlap in the time-frequency domain, reducing interference aggregation caused by spectral superposition at the source. The impedance matching mechanism is based on real-time FFT analysis and complex impedance modeling, designing a digital controller with spectral domain feedback function to adaptively adjust the output virtual impedance, achieving dynamic reconstruction of the electromagnetic coupling path. This invention constructs a collaborative interference suppression system of "spectral decoupling + impedance shaping," overcoming the technical bottlenecks of traditional passive filters such as large size and limited random PWM modulation. It possesses advantages such as wide interference frequency band coverage, strong dynamic adaptability, and high suppression accuracy, making it suitable for the electromagnetic compatibility control requirements of high-frequency, high-density power electronic systems.

[0048] In another embodiment, a dual-drive electromagnetic interference suppression device based on random PWM and impedance matching is provided, the device comprising: The instantaneous PWM frequency modulation model determination module is used to construct an instantaneous PWM frequency modulation model based on a random PWM mechanism; the instantaneous PWM frequency modulation model is constructed based on high-order dynamic disturbance, historical memory response, and spectrum overlap control. The constraint function construction module is used to determine the boundary constraint functions for frequency dynamic disturbances; The digital controller design module is used to build digital controllers with spectral domain feedback functionality; The dual-drive electromagnetic interference suppression module is used to suppress electromagnetic interference in high-frequency, high-density power electronic systems based on the instantaneous PWM frequency modulation model, the frequency dynamic disturbance boundary constraint function, and the digital controller, and based on multi-harmonic observation and feedforward compensation.

[0049] The principle of the dual-drive electromagnetic interference suppression module for high-frequency, high-density power electronic systems based on multi-harmonic observation and feedforward compensation is as follows: Step 1: Collect the voltage or current signal output by the power electronic system, use an extended Kalman filter (EKF) for real-time filtering and state estimation, extract frequency domain feature information including the main frequency and harmonics, and construct the dynamic multispectral modeling basis for the system interference source; Step 2: Synchronize the system reference signal based on the Adaptive Phase-Locked Loop (ADPLL) algorithm, align the reference phase with the grid phase in real time, ensure the accuracy of harmonic feature extraction and the stability of the modulation signal, and provide a phase reference for subsequent compensation strategies; Step 3: Based on the extracted harmonic amplitudes and phases, the current compensation signal required for interference suppression is calculated using the inverse synthesis method, so that it is consistent with the interference source in frequency and amplitude, but opposite in phase, thereby achieving effective phase cancellation intervention on the output side. Step 4: Inject the compensation signal into a dual-channel parallel drive topology composed of Si IGBT and SiC MOSFET, wherein the main channel provides main power transmission and the auxiliary channel performs interference compensation control. The two work together to achieve the division of labor suppression of high-frequency disturbances. Step 5: Construct a frequency disturbance boundary constraint function to dynamically adjust the PWM modulation frequency, so that the modulation frequency is randomly disturbed within a limited range based on the dynamic response of the interference spectrum, without exceeding the safety control range, thereby improving the dispersion of the modulation spectrum. Step 6: Combining the real-time detected load power changes, apply dynamic gain adjustment to the current compensation signal through a gain scheduling mechanism to make the compensation capability adapt to the interference intensity under different load conditions, thereby achieving highly robust and highly adaptable dynamic harmonic suppression. Step 7: Inject the compensation current, which has been optimized by spectrum and adjusted by gain, into the output terminal. This current cancels out the original interference signal in the spectrum or time domain, forming a synergistic electromagnetic interference suppression mechanism with spectrum peak shifting and impedance reconstruction as the core, which significantly improves the electromagnetic compatibility performance and power quality of the system.

[0050] In one exemplary embodiment, a computer device is provided, which may be a server or a terminal. The computer device includes a processor, memory, input / output interfaces (I / O), and a communication interface. The processor, memory, and I / O interfaces are connected via a system bus, and the communication interface is connected to the system bus via the I / O interfaces. The processor of the computer device provides computing and control capabilities. The memory of the computer device includes a non-volatile storage medium and internal memory. The non-volatile storage medium stores an operating system, computer programs, and a database. The internal memory provides an environment for the operation of the operating system and computer programs in the non-volatile storage medium. The I / O interfaces of the computer device are used for exchanging information between the processor and external devices. The communication interface of the computer device is used for communication with external terminals via a network connection. When the computer program is executed by the processor, it implements a dual-drive electromagnetic interference suppression method based on random PWM and impedance matching.

[0051] In one exemplary embodiment, a computer-readable storage medium is provided storing a computer program that, when executed by a processor, implements the steps in the above-described method embodiments.

[0052] In one exemplary embodiment, a computer program product is provided, including a computer program that, when executed by a processor, implements the steps in the above-described method embodiments.

[0053] It should be noted that the user information (including but not limited to user device information, user personal information, etc.) and data (including but not limited to data used for analysis, data stored, data displayed, etc.) involved in this application are all information and data authorized by the user or fully authorized by all parties, and the collection, use and processing of the relevant data must comply with relevant regulations.

[0054] Those skilled in the art will understand that all or part of the processes in the above embodiments can be implemented by a computer program instructing related hardware. The computer program can be stored in a non-volatile computer-readable storage medium. When executed, the computer program can include the processes of the embodiments described above. Any references to memory, databases, or other media used in the embodiments provided in this application can include at least one of non-volatile and volatile memory. Non-volatile memory can include read-only memory (ROM), magnetic tape, floppy disk, flash memory, optical memory, high-density embedded non-volatile memory, resistive random access memory (ReRAM), magnetic random access memory (MRAM), ferroelectric random access memory (FRAM), phase change memory (PCM), graphene memory, etc. Volatile memory can include random access memory (RAM) or external cache memory, etc. By way of illustration and not limitation, RAM can take many forms, such as Static Random Access Memory (SRAM) or Dynamic Random Access Memory (DRAM).

[0055] The databases involved in the embodiments provided in this application may include at least one type of relational database and non-relational database. Non-relational databases may include, but are not limited to, blockchain-based distributed databases. The processors involved in the embodiments provided in this application may be general-purpose processors, central processing units, graphics processing units, digital signal processors, programmable logic devices, quantum computing-based data processing logic devices, etc., and are not limited to these.

[0056] The technical features of the above embodiments can be combined in any way. For the sake of brevity, not all possible combinations of the technical features in the above embodiments are described. However, as long as there is no contradiction in the combination of these technical features, they should be considered to be within the scope of this specification.

[0057] This document uses specific examples to illustrate the principles and implementation methods of this application. The descriptions of the above embodiments are only for the purpose of helping to understand the methods and core ideas of this application. Furthermore, those skilled in the art will recognize that, based on the ideas of this application, there will be changes in the specific implementation methods and application scope. Therefore, the content of this specification should not be construed as a limitation of this application.

Claims

1. A dual-drive electromagnetic interference suppression method based on random PWM and impedance matching, characterized in that, The method is applied to a high-frequency, high-density power electronic system, and the method includes: An instantaneous PWM frequency modulation model is constructed based on a random PWM mechanism; the instantaneous PWM frequency modulation model is constructed based on high-order dynamic disturbance, historical memory response and spectrum overlap control; Determine the boundary constraint function for frequency dynamic disturbance; Construct a digital controller with spectral domain feedback functionality; Based on the instantaneous PWM frequency modulation model, the frequency dynamic disturbance boundary constraint function, and the digital controller, dual-drive electromagnetic interference suppression is performed on high-frequency, high-density power electronic systems based on multi-harmonic observation and feedforward compensation.

2. The dual-drive electromagnetic interference suppression method based on random PWM and impedance matching according to claim 1, characterized in that, The instantaneous PWM frequency modulation model is as follows: ； In the formula, The carrier frequency of the i-th inverter topology at time t is represented; the first inverter topology is the Si IGBT inverter topology; the second inverter topology is the SiC MOSFET inverter topology. Represents the reference PWM frequency for the i-th inverter topology; This represents the maximum perturbation frequency amplitude for the i-th inverter topology; Let represent the random disturbance source function of the i-th inverter topology at time t; Let represent the random disturbance source function of the i-th inverter topology at time τ; when i=1, the random disturbance source function adopts a Gaussian distribution function; when i=2, the random disturbance source function adopts a Beta distribution function. The disturbance memory factor parameter represents the i-th inverter topology; Represents the exponential decay coefficient of the i-th inverter topology; Let represent the disturbance derivative feedback coefficient for the i-th inverter topology.

3. The dual-drive electromagnetic interference suppression method based on random PWM and impedance matching according to claim 2, characterized in that, The frequency dynamic disturbance boundary constraint function is: ； In the formula, Indicates the upper limit of the dynamic frequency disturbance boundary; Indicates the maximum frequency disturbance amplitude; Indicates the disturbance sensitivity factor; This represents the interference energy detected in real time within the frequency range by the inverter topology; Indicates the spectrum security threshold; This represents the interference energy detected in real time within the frequency range for the i-th inverter topology at time t. Indicates the lower limit of the spectral energy integral; Indicates the upper limit of the spectrum energy integral; Indicates the frequency range; Indicates the width of the time-domain window; This represents the output voltage signal of the i-th channel at time τ; Represents the time-domain window function; This represents the frequency variable, used as a scanning variable in the frequency domain integration process.

4. The dual-drive electromagnetic interference suppression method based on random PWM and impedance matching according to claim 1, characterized in that, Dual-drive electromagnetic interference suppression for high-frequency, high-density power electronic systems based on multi-harmonic observation and feedforward compensation includes: Using a Kalman filter, the estimated values ​​of each harmonic signal in the power supply system are obtained in real time. By employing an adaptive phase-locked loop algorithm, the frequency is adjusted based on the phase difference between the grid signal and the reference signal to synchronize the frequency and phase of the grid, thereby obtaining accurate values ​​of each harmonic signal; after synchronizing the frequency and phase of the grid, the grid signal remains synchronized with the reference signal. The amplitude and phase of each harmonic signal are reversed to obtain a current compensation signal; the current compensation signal is equal in amplitude and opposite in direction to the harmonic signal of the Si IGBT inverter topology. The gain of the current compensation signal is determined using a gain scheduling mechanism based on changes in load power. Based on the current compensation signal and its gain, determine the current compensation signal after gain scheduling optimization; The current compensation signal after gain scheduling optimization is input into the high-frequency, high-density power electronic system.

5. The dual-drive electromagnetic interference suppression method based on random PWM and impedance matching according to claim 4, characterized in that, The amplitude and phase of each harmonic in the power supply system are as follows: ； in, ; In the formula, This represents the estimated value of the k-th harmonic, used to describe the amplitude and phase of the predicted harmonic; This represents the estimated value of the (k-1)th harmonic, used to describe the amplitude and phase of the previous harmonic; Indicates Kalman gain; The measurement variable representing time k; The measurement matrix representing time k; The prediction error covariance matrix at time k is used to describe the prediction error of the system state. H represents the transpose of the measurement matrix; H represents the measurement matrix, used to describe the linear relationship from the system state to the observations; R represents the measurement noise covariance. The prediction error covariance matrix at time k-1 is used to describe the prediction error of the system state at the previous time step. This represents the state transition matrix, used to describe the change of the system state from time k−1 to time k; represents the transpose of the state transition matrix; Q represents the process noise covariance matrix, used to describe the noise in the dynamic process of the system; Represents the state variable at time k; This represents the measurement noise at time k.

6. The dual-drive electromagnetic interference suppression method based on random PWM and impedance matching according to claim 4, characterized in that, The frequency and phase of the power grid are synchronized using the following formula: ； In the formula, Indicates the power grid phase at time t; Indicates the power grid phase at time t; This represents the gain parameter, used to control the synchronization speed; This represents the phase error signal, used to describe the phase difference between the power grid signal and the reference signal; Indicates the input voltage signal of the power grid; This represents the reference voltage signal.

7. The dual-drive electromagnetic interference suppression method based on random PWM and impedance matching according to claim 4, characterized in that, The current compensation signal is: ； In the formula, The current compensation signal represents time t; N Indicates the total number of harmonics; This represents the current amplitude of the nth harmonic. Indicates the reference frequency; This represents the phase of the nth harmonic.

8. The dual-drive electromagnetic interference suppression method based on random PWM and impedance matching according to claim 4, characterized in that, The gain of the current compensation signal is: ； In the formula, This represents the gain of the current compensation signal at time t; Indicates the initial gain; Indicates the adjustment coefficient; This indicates the amount of load power change, used to describe the magnitude of the load change.

9. The dual-drive electromagnetic interference suppression method based on random PWM and impedance matching according to claim 4, characterized in that, The current compensation signal after gain scheduling optimization is: ； In the formula, This represents the current compensation signal after gain scheduling optimization at time t. This represents the gain of the current compensation signal at time t; This represents the current compensation signal at time t.

10. A computer device, comprising: A memory, a processor, and a computer program stored in the memory and executable on the processor, characterized in that the processor executes the computer program to implement the dual-drive electromagnetic interference suppression method based on random PWM and impedance matching as described in any one of claims 1-9.

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