240 results about "Modulation pattern" patented technology

The invention discloses a data processing chip based on a heterogeneous computing architecture, and relates to the technical field. The data processing chip based on the heterogeneous computing architecture comprises a data processing unit for receiving and preprocessing data to be transmitted; the clustering compression engine is used for carrying out clustering compression processing on the preprocessed data to be transmitted; the modulation and coding control unit is used for carrying out modulation and coding processing on the data to be transmitted after clustering compression processing; the redundant coding unit is used for carrying out redundant coding processing on the modulated and coded data to be transmitted; and outputting the to-be-transmitted data subjected to redundant coding processing to a protocol stack and interface unit of external equipment according to a set communication protocol. Through collaborative design of a clustering compression engine in a chip and a modulation coding control unit, clustering compression aiming at data structure characteristics and modulation strategy matching in a dynamic channel state are realized; the problems of fixed compression and modulation modes and lack of cooperation in the prior art are solved.

The invention relates to the technical field of ultra-far offshore data transmission, and discloses an ultra-far offshore distance real-time data stable transmission method and system. The method comprises the following steps: acquiring target transmission link data, and extracting dynamic fluctuation characteristics containing signal strength distribution information and a delay jitter relationship from the target transmission link data; calling the trained channel estimation network to carry out signal positioning processing on transmission link data, and generating a signal transmission path set containing a channel type identifier and phase code mapping relation; based on the set, calling a waveform analysis network to perform multi-modal feature fusion on the signal intensity distribution information to obtain a fusion result containing time-frequency domain features and modulation mode features; and inputting a fusion result into a transmission strategy model to perform dynamic path selection, and outputting a real-time data transmission element containing a control instruction generated based on a signal transmission sequence and a phase self-calibration parameter. According to the method, stable transmission of real-time data under the ultra-far offshore distance can be realized.

The disclosure provides a method for improving the efficiency of a micro-inverter, and a dual-active-bridge-type micro-inverter. The method including: performing power modulation mode switching of a dual-active-bridge-type micro-inverter, such that the power is bi-directionally transmitted from a direct-current side to an alternating-current side and from the alternating-current side to the direct-current side, thereby reducing an effective value of a secondary side current of a transformer; and according to the modulation mode switching characteristic of the dual-active-bridge-type micro-inverter within a power frequency period, performing hybrid optimization on the turn ratio of a primary side to a secondary side and a transformer leakage inductance of a high-frequency transformer of the dual-active-bridge-type micro-inverter.

The invention relates to a signal-to-noise ratio adaptive signal modulation identification method. The method comprises the following steps: inputting IQ information and a signal-to-noise ratio (SNR) estimated value of a signal into a signal modulation identification model, and identifying to obtain a modulation mode of the signal; the signal modulation identification model is an MCLDNN of which the feature fusion module is provided with an SNR attention module; the SNR attention module can receive the SNR estimated value and obtain a signal-to-noise ratio attention weight according to the SNR estimated value; receiving a signal multi-channel fusion feature map output by the multi-channel fusion convolutional layer of the MCLDNN; weighting the signal multi-channel fusion feature map by using a signal-to-noise ratio attention weight, connecting the weighted signal multi-channel fusion feature map with a signal multi-channel fusion feature map residual error, and outputting a multi-channel fusion feature combined with SNR attention; and the multi-channel fusion features combined with the SNR attention are input to a time sequence module of the MCLDNN.

The invention discloses a multi-modulation-mode power converter and a switching control circuit thereof. The switch control circuit comprises a reset circuit used for generating a reset signal according to a current detection signal representing an inductive current of the power converter and an error signal of a feedback loop of the power converter; the setting circuit is used for generating a setting signal according to the error signal; the RS trigger is used for generating a switch control signal of a switch tube in the power converter according to the reset signal and the set signal; the mode selection circuit is used for comparing the error signal with a switching reference voltage to generate a mode selection signal, and the reset circuit and the setting circuit respond to the mode selection signal to switch internal signal paths respectively, so that the power converter selectively works in one of a PFM mode and a COFT mode. The switch control circuit can adaptively work in one of a PFM mode and a COFT mode according to load conditions, and smooth mode switching can be realized when the COFT mode is switched to the PFM mode.

The invention discloses a low-cost three-dimensional live-action measurement and holographic reconstruction method and system for fringe projection, and the method comprises the steps: sequentially capturing at least three first object modulation images and five second object modulation images, which are obtained after sine and Gray code fringe patterns are modulated by the surface depth of an object to be measured, through a projector and a first camera; reconstructing three-dimensional shape information by using a multi-step phase shift method and a complementary Gray code phase unwrapping method to obtain a depth map of the surface of the object to be measured; according to the holographic reconstruction method, the obtained depth map is used, a projector and a first camera are used for obtaining an intensity map of the surface of an object to be measured when no projection fringe pattern exists, the intensity map is divided into a plurality of slice images in the depth direction of the depth map, sub-holograms are obtained according to an iterative Fresnel algorithm and a fast Fourier transform algorithm, and the sub-holograms are reconstructed. And after superposition and phase extraction, a phase hologram is obtained. According to the invention, the depth map can be simply, conveniently, efficiently and losslessly obtained with low cost and high precision, and popularization and application of the digital holographic technology are facilitated.

The invention relates to the technical field of data processing, and discloses a signal intra-pulse modulation pattern recognition method and system, and the method comprises the steps: receiving a radar pulse signal; performing short-time Fourier transform on the radar pulse signal; in the time-frequency matrix, calculating an energy distribution gradient of each time point along a frequency axis; according to the energy distribution gradient of each time point, identifying gradient abrupt change points; determining a filtering bandwidth boundary based on the gradient catastrophe point by adopting a negative feedback regulation mechanism of bandwidth and signal-to-noise ratio; based on the filtering bandwidth boundary, performing bandwidth filtering on the radar pulse signal; calculating an instantaneous frequency, a first-order differential frequency and a second-order differential frequency of the filtered signal through Hilbert transform, and forming a feature vector; predicting a cluster number range through a long and short term memory neural network according to the feature vectors; according to the feature vector, through a K-Means clustering algorithm, carrying out clustering analysis in a clustering number range; and outputting a modulation style label according to a clustering analysis result.

The invention discloses a specific protocol signal generation method based on an automatic tracking decision, and solves the problem of constructing an anti-interference performance test of a vivid communication signal or constructing a real-time dynamic complex electromagnetic environment in a real-time dynamic change scene. According to the method, after signal detection and threshold judgment are carried out, pre-processing such as carrier adjustment and filtering is carried out on target signal data, transmission identification and modulation pattern identification are carried out on segmented target signals, and parameter information of time domains, frequency domains and modulation domains such as a signal transmission system and a transmission stage is extracted. Signal generation resource allocation and strategy evaluation of optimized output waveform are carried out according to parameter information of the obtained target signal, signals of transmission system parameters are generated according to a generation strategy, and meanwhile information changes of a target signal transmission system, modulation parameters and the like are continuously tracked. According to the method, target signals are automatically tracked, signals of specific protocol signal stages and signal waveforms are generated in real time, and the method can be used for construction of a communication system test environment and a dynamic complex electromagnetic environment.

The invention relates to a power line carrier signal modulation method based on channel measurement. In the method, a source node sends a full-band signal first signal covering a target spectral range, then receives signal-to-noise ratio data of each resource group sent by a destination node, and finally configures a modulation mode according to the signal-to-noise ratio of each resource group, thereby realizing dynamic configuration of the modulation mode of the resource group. And the method can adapt to a complex and changeable power line channel environment. According to the dynamic configuration modulation mode based on the signal-to-noise ratio, on one hand, actual channel quality measurement information can be fully utilized to realize maximum-rate transmission, and on the other hand, the modulation mode is matched with the channel quality, so that the anti-noise capability is high, and the reliability and accuracy of signal transmission are improved.

The invention relates to a dual-mode communication carrier signal modulation method and device based on an OFDM (Orthogonal Frequency Division Multiplexing) system, and the method comprises the steps: obtaining the signal-to-noise ratio of a plurality of subcarriers transmitted by a receiving end, and recognizing at least one target subcarrier of which the signal-to-noise ratio of the plurality of subcarriers is in a configured frequency band range, determining a target modulation mode according to the average value of the signal-to-noise ratio of the at least one target subcarrier; determining the bit mutual information of each target subcarrier according to the target modulation mode and the signal-to-noise ratio of the at least one target subcarrier, and correcting the bit mutual information of each target subcarrier based on the configured diversity times to obtain the corrected bit mutual information of each target subcarrier; calculating a bit mutual information average value according to the corrected bit mutual information of each target subcarrier, and determining a code rate of the to-be-modulated data based on the bit mutual information average value; and modulating the to-be-modulated data according to the code rate of the to-be-modulated data, the target modulation mode, the configured diversity times, the configured frequency band range and the target subcarrier.

The invention relates to the technical field of energy storage converters, in particular to a three-level inverter DPWM and SVPWM smooth switching method and system, a medium and equipment, and the method comprises the steps: determining a current modulation mode which comprises the SVPWM and the DPWM; a first modulation coefficient and a second modulation coefficient are set, the first modulation coefficient corresponds to the weight of the SVPWM common-mode voltage, the second modulation coefficient corresponds to the weight of the DPWM common-mode voltage, and the sum of the first modulation coefficient and the second modulation coefficient is constantly 1; determining values of a first modulation coefficient and a second modulation coefficient based on the current modulation mode in response to a switching instruction of switching from the current modulation mode to a target modulation mode; and combining the three-phase SPWM modulation wave, the first modulation coefficient, the SVPWM common-mode voltage, the second modulation coefficient and the DPWM common-mode voltage to generate a total modulation wave. According to the invention, non-stop switching of SVPWM and DPWM is realized, fast and stable neutral-point voltage and smooth transition of neutral-line current and three-phase current are ensured when two modulation modes are switched, and the smooth transition requirement of mode switching is met.

The invention provides a time domain mapping encryption imaging method and system based on an event camera, and belongs to the field of computer vision hardware encryption imaging. The method comprises the steps that a receiver builds an asynchronous time domain mapping imaging system and constructs a space coding secret key sequence, then obtains an SLM modulation pattern sequence, obtains a noise SLM modulation pattern sequence and sends the SLM modulation pattern sequence to a sender; and the receiver carries out calibration based on the SLM modulation pattern sequence to obtain a space decoding secret key sequence. And the sender obtains the imaging event information and the encrypted time decoding secret key sequence based on the noise SLM modulation pattern sequence and sends the imaging event information and the encrypted time decoding secret key sequence to the receiver. And the receiver obtains a fragmented grey-scale map based on the spatial decoding secret key sequence and the received information, and then obtains a dense and complete grey-scale image through a video completion network based on the fragmented grey-scale map. According to the invention, real-time encryption can be realized, and the leakage risk before encrypted information transmission is reduced; moreover, the method is not sensitive to the collection environment, is high in decoding efficiency, and is low in implementation difficulty.

The invention belongs to the related technical field of power electronic converters, and discloses an LLC resonant converter light load smooth transition control method and system, and the method comprises the steps: carrying out the PI calculation according to the real-time output voltage of an LLC, and obtaining a pre-output frequency; if the pre-output frequency is greater than or equal to the maximum output frequency, entering a second working mode; at the moment, the actual output frequency is set to be the maximum output frequency, and the duty ratio of intermittent control is set according to the exceeding degree of the pre-output frequency relative to the maximum output frequency; a PFM modulation signal is generated according to the actual output frequency, a burst signal is generated according to the intermittent control duty ratio, and a driving signal is generated according to the PFM modulation signal and the burst signal to control the LLC resonant converter. The control requirements of the PFM modulation mode under the normal working condition and the burst mode under the light-load working condition can be met by using one set of PI control parameters, and smooth transition of light-load control is achieved.

The invention relates to the technical field of power electronics, and discloses a dynamic regulation and control method and system for an active clamping three-level converter adapting to working condition changes, and the method comprises the steps: calculating the loss sample data of each power device in different modulation modes through obtaining the historical data of characteristic parameters under different working conditions; calculating the junction temperature of the power device based on the loss in the hybrid modulation mode; with the minimum junction temperature distribution imbalance degree as a target, calculating a hybrid modulation coefficient, and constructing a neural network model; after operation parameters of a power device are collected in real time, the optimal modulation coefficient is obtained based on the model, the modulation mode of the converter is dynamically adjusted, and loss distribution is optimized. According to the method, the loss distribution characteristic and efficiency of the converter under all working conditions can be improved, and the loss balance performance is optimized.

A deep learning-enabled system for the display or projection of high-resolution images is disclosed that is based on a jointly-trained pair of an electronic encoder network and an all-optical decoder network to synthesize / project super-resolved images using low-resolution wavefront modulators. The electronic encoder network rapidly pre-processes the high-resolution images of interest so that their spatial information is encoded into low-resolution (LR) modulation patterns, projected via a low SBP wavefront modulator. The all-optical decoder network processes this LR encoded information using thin transmissive layers that are structured using deep learning to all-optically synthesize and project super-resolved images at its output FOV. Results indicate that this diffractive image display system can achieve a super-resolution factor of ˜4, demonstrating a ˜16-fold increase in SBP. The system can be scaled to operate at visible wavelengths and be used for large FOV and high-resolution displays that are compact, low-power, and computationally efficient.

The invention relates to the technical field of radars, in particular to a low-interception-probability radar waveform design method and device, and the method comprises the steps: obtaining a preset MDP tuple; constructing a Markov decision model framework based on a preset MDP tuple, wherein the Markov decision model framework comprises a design framework corresponding to the power adopted for constructing a radar waveform and the complexity of a radar waveform intra-pulse modulation pattern; performing reinforcement learning on the Markov decision model framework in a strategy optimization direction taking maximization of long-term accumulated rewards as a target to obtain a reinforcement learning optimization model of radar waveform design; and solving the reinforcement learning optimization model of the radar waveform design by using a model-free Q-learning algorithm to obtain the design parameters of the radar wave, thereby realizing the intelligent design of the low-interception probability radar waveform in the complex electronic countermeasure environment, and improving the concealment and detection performance balance capability of the radar in the unknown countermeasure environment.

The invention relates to the technical field of motor harmonic suppression, in order to solve the known problem of motor harmonic, in particular to a PWM harmonic suppression method for a vehicle permanent magnet synchronous motor driving system, which comprises the following steps of: (1) acquiring three-phase stator current signal data of the vehicle permanent magnet synchronous motor driving system; (2) amplitude information of fundamental waves and harmonic components of all orders is extracted based on the three-phase signal data in the current analysis window; (3) constructing a plurality of PWM modulation mode candidate sets in a system control logic, and randomly generating a new candidate PWM mode according to a transition probability rule; (4) constructing a performance difference index between the current state and the candidate state for the generated candidate PWM control mode, and judging whether the candidate PWM mode is accepted as a new current state or not; (5) performing multiple rounds of global search and strategy screening, and finally enabling the system to approach the optimal PWM control state; and (6) the system generates a PWM driving signal according to the optimal strategy to drive the permanent magnet synchronous motor to operate stably.

The invention discloses a communication signal classification and identification method based on multi-sequence feature fusion, and belongs to the technical field of communication, and the method takes an I / Q sequence, an A / P sequence and a PSD sequence of a signal as the input of a multi-channel feature fusion network model: the I / Q sequence retains the complete time domain in-phase / orthogonal component information of the signal, and provides basic waveform features; the A / P sequence highlights the instantaneous amplitude fluctuation and phase jump characteristics of the signal through polar coordinate transformation; the PSD sequence reveals the frequency domain energy distribution characteristics of the signal, and effectively captures a modulation mode with remarkable frequency domain characteristics. Three-dimensional complementation of a time domain, a transform domain and a frequency domain is formed, and the representation limitation of a single domain feature in a complex channel environment is overcome. And constructing a multi-channel feature fusion network model by using complementary gain information in different data to classify and identify a communication signal modulation mode. And deep processing is performed on different types of input data by using different network structures, so that the overall model recognition performance is improved.

This invention provides a communication countermeasure simulation method based on random simulation, belonging to the field of electronic countermeasure simulation technology. The method first establishes a probability distribution model of reconnaissance information deviation for key parameters of the communication target; then, based on the probability distribution model of each parameter deviation, independent random sampling is performed to generate instantaneous values ​​of frequency deviation, positioning deviation, and modulation pattern recognition results at each moment, and the guidance parameters of the jammer are determined; next, the instantaneous interference-to-signal ratio (ISR) at the target receiver at the current moment is calculated; finally, the ISR calculated at the communication receiver is compared with a preset communication performance degradation ISR threshold to determine whether the jamming is successful. The model of this invention has clear physical meaning and can accurately quantify the impact of reconnaissance information deviation and propagation loss on the jamming effect, significantly improving the credibility and practicality of the simulation evaluation.

Example embodiments of the present disclosure are directed to dynamic selection of index modulation pattern subset. A method comprises receiving, from a second apparatus, configuration information indicating at least one pattern subset for index modulation; determining a target pattern subset for index modulation from the at least one pattern subset; and applying at least one portion of the target pattern subset to a communication between the first apparatus and the second apparatus.

A system and method for spatial tracking is disclosed. The method may include initializing a tracking of light sources. This initialization may involve determining modulation patterns that are mapped to light sources in a spatial arrangement over a time period, where each of the modulation patterns includes a sequence of planned states. The method may include directing an adjustment of a state of the light sources based on the modulation patterns, receiving images over the time period via optical sensors, identifying features based on the images, and correlating the features to the light sources based on the features and the modulation pattern over the time period. The pose may be determined based on at least the correlation, the feature positions, and the spatial arrangement of the light sources, where the pose includes a direction and a position in three-dimensional space.

This application discloses a method and related apparatus for identifying underwater acoustic signal modulation patterns, relating to the field of signal modulation pattern identification in non-cooperative underwater acoustic communication. The method first acquires the original passband signal and processes it to obtain two complex signals, I and Q. Using a residual convolutional network module, the spatial features of the I and Q complex signals are extracted to obtain a spatial feature sequence. Then, using a bidirectional gated recurrent unit module, information from the spatial feature sequence is learned from both forward and backward directions, and the learned information is concatenated to obtain a temporal feature vector. The temporal feature vector is then subjected to feature mapping and classification to obtain classification confidence scores for different modulation patterns. The modulation pattern corresponding to the highest classification confidence score is determined as the classification result. This application enables high-precision, automated identification of underwater acoustic signal modulation patterns.

The application discloses a high-frequency injection positionless control method for a cascade H-bridge power supply permanent magnet motor, which separately configures one H-bridge module of each phase of a cascade H-bridge converter into a square wave output mode, configures the remaining H-bridge modules of each phase of the cascade H-bridge converter into a conventional modulation mode of carrier phase shift, uses rotation transformation to extract motor rotor position information and position bias information, designs a moving average filtering algorithm based on the characteristics of high sampling rate of the cascade H-bridge to eliminate the influence of harmonic voltage in the injected square wave signal, and then uses a phase-locked loop technology to obtain motor rotor position observation results, so as to realize positionless control. The application raises the upper limit of the signal injection frequency of the cascade H-bridge motor system from half of the switching frequency to the switching frequency, is helpful for the signal separation link involved in the positionless control, can reduce the disturbance caused by the injected high-frequency signal, improve the signal-to-noise ratio and accuracy of the motor rotor position observation, and improve the operation performance of the positionless control.

The invention discloses a multi-modulation-mode power converter and a switching control circuit thereof. The switch control circuit comprises a reference voltage calculation circuit used for calculating a switching reference voltage according to at least one of a signal parameter and a circuit parameter of the power converter; the mode switching circuit is used for generating a selection signal according to the error signal and a switching reference voltage, and the modulation circuit changes an internal modulation mode according to the selection signal, so that the power converter selectively works in one of a PFM mode and a COFT mode, and a current conduction mode is switched while the PFM mode and the COFT mode are switched. The switch control circuit can adaptively work in one of a PFM mode and a COFT mode according to a load condition, and the power converter can synchronously switch a modulation mode and a current conduction mode by accurately calculating a switching reference voltage related to a critical condition of a continuous conduction mode so as to optimize system efficiency.

The invention discloses an inverter control method and energy storage equipment. The inverter control method comprises the following steps: acquiring the output power of an inverter; determining a modulation mode of the PWM signal according to the output power; the modulation mode of the PWM signal comprises a discontinuous pulse width modulation mode and a space vector pulse width modulation mode; determining a switching frequency parameter of the inverter according to the modulation mode of the PWM signal; the switching frequency parameter comprises at least one of a switching frequency jitter depth, a switching frequency jitter mode and a switching frequency updating speed; a PWM signal is generated based on the switching frequency parameter. The EMC performance of the inverter is comprehensively improved, and the robustness is higher. And meanwhile, the efficiency of the inverter is improved, the dependence on a large-size and high-cost EMI filter is reduced or simplified, the implementation and upgrading are easy, and integration in a product and optimization on site through fixed upgrading are facilitated. And the compactness of the overall structure of the inverter is improved, and the power density of a power system is improved.

A single-pixel imaging method for an object retracing a motion trajectory, a system, a medium, and a device. The method comprises: a controller generating, according to a predefined formed-image reconstruction algorithm, a modulation pattern sequence having different spatial distributions, and inputting the modulation pattern sequence into a light modulation apparatus (S1); the light modulation apparatus receiving a trajectory pulse signal from a digital signal processor, and simultaneously sending a modulated pulse signal to a synchronous multi-channel signal acquisition apparatus (S2); the synchronous multi-channel signal acquisition apparatus receiving the modulated pulse signal, and being triggered to acquire, at a predetermined sampling frequency, a plurality of sample values of a sampled light signal illuminating an object to be imaged and detected by a first detector (S3); the controller selecting a target sample value from among the sample values as a formed-image reconstruction sample value, the formed-image reconstruction sample value corresponding to a target modulation pattern in the modulation pattern sequence (S4); repeating the above steps until each formed-image reconstruction sample value corresponds to each modulation pattern in the modulation pattern sequence on a one-to-one basis, and generating a formed-image reconstruction sample value sequence on the basis of each formed-image reconstruction sample value (S5); on the basis of the formed-image reconstruction algorithm, the controller performing image reconstruction on the formed-image reconstruction sample value sequence to generate a single formed image of the object to be imaged (S6); and repeating the above steps until a count of generated single formed images reaches a predetermined number (S7). The imaging system is capable of imaging, over an extended period of time, high-speed objects retracing a motion trajectory at varying velocity.

This invention relates to ranging and triangulation in a multi-sensor scanner. An optical scanner uses a ranging phase to determine a range to a subject, in which a series of image frames is received that collectively contain a ranging spot captured as a reflection off a surface of the subject. The captured ranging spot is time-modulated according to a modulation pattern, and the series of image frames is processed based on the modulation pattern to identify the ranging spot, determining possible locations of the ranging spot within at least one image frame of the sequence. This is followed by a triangulation phase in which the possible locations of the ranging spot are processed to produce a range determination. In an optional implementation, whether the possible locations of the ranging spot are within a reasonable location is assessed based on different device-specific positional offsets in the image frames captured by different ones of a plurality of image capture devices.

The invention relates to the technical field of oil-gas exploration logging, provides a logging work data real-time transmission system and method based on an embedded structure, and aims to solve the problems that in the prior art, data transmission is insufficient in real-time performance, a logging system is difficult to troubleshoot, and the data transmission efficiency is low. And the technical problem that the ground decoding board only supports cable communication of a single modulation mode is solved. Comprising a downhole instrument used for collecting original logging electric signals; the mode transformer is used for performing impedance matching processing on the original logging electric signal to obtain a preprocessed logging signal; the amplifier module is used for performing method processing on the preprocessed logging signal to obtain an amplified logging signal; the A / D conversion module is used for converting the amplified logging signal into a digital signal from an analog signal to obtain a digital logging signal; the modulation-demodulation module is used for decoding the digital logging signal to obtain a decoded logging signal; and the network communication module is used for uploading the decoded logging signal to logging acquisition software of an upper computer in real time.

The invention provides a modulation pattern identification method and device for an orthogonal frequency division multiplexing signal based on adaptive modulation, which can be applied to the technical field of wireless communication. The method comprises the following steps: acquiring an orthogonal frequency division multiplexing signal, wherein the orthogonal frequency division multiplexing signal comprises N symbols and K subcarriers; performing fast Fourier transform on the orthogonal frequency division multiplexing signal to obtain a frequency domain matrix of an NxK dimension; extracting a plurality of frequency domain symbol vectors associated with each subcarrier from the frequency domain matrix according to the identifiers of the K subcarriers based on the subcarrier dimensions to obtain K target data sequences; according to any target data sequence in the K target data sequences, performing at least one operation of clustering or accumulation on the target data sequences to obtain a plurality of modulation pattern recognition features associated with the target data sequences; and determining a target modulation pattern according to the plurality of modulation pattern recognition features and a preset modulation pattern mapping relationship.

The application discloses the technical field of level modulation, and relates to a switching loss equalization control system and method based on level hybrid modulation, and a storage medium, which comprises the following modules: a signal processing module, which is used to acquire a three-level modulation voltage; a mode switching decision module, which is used to acquire the difference between the internal and external tube losses, and update a modulation mode flag bit by comparing a hysteresis threshold value; and a level hybrid modulation module, which is used to read the three-level modulation voltage and the modulation mode flag bit, and execute three-level modulation or equivalent two-level modulation to output a final modulation wave for controlling the state of a switching tube. The mode switching decision module of the application takes the three-level modulation voltage as the final modulation wave when three-level modulation is performed, and allocates the duty cycle of the intermediate level of the three-level modulation voltage to the high and low levels to obtain a two-level modulation voltage and acquire the final modulation wave when equivalent two-level modulation is performed, so that the dynamic equalization distribution of the internal and external tube losses is realized, and the thermal stability and reliability of the system are improved.