Voltage stability control method for multi-output switching power supply

Abstract

The invention provides a voltage stability control method for a multi-output switching power supply, which comprises the following steps of: sampling a main output channel in real time to obtain a voltage signal; the voltage signal is processed through a wide bandwidth error amplifier, a main channel adjusting signal is generated, and the main channel adjusting signal is used for driving a main power switch device; receiving an input voltage fluctuation frequency band of an auxiliary channel, a load current transient change gradient and a frequency spectrum coupling characteristic of a main channel adjusting signal through a dynamic prediction model, and generating an auxiliary channel adjusting signal with a phase lead compensation characteristic; a cross coupling active offset mechanism is constructed, time domain-frequency domain characteristics of coupling interference are extracted through a high-precision differential detection circuit, amplitude-frequency adjustable reverse correction signals are generated in real time through an adaptive compensation algorithm and injected into control nodes of an auxiliary output channel, and dynamic decoupling and ripple suppression are carried out. According to the method, high-stability control of multi-channel voltage under all working conditions is realized, and the dynamic response speed and the anti-interference capability are improved.

Description

TECHNICAL FIELD

[0001] The present application relates to the field of power electronics and automatic control, and in particular to a voltage stabilization control method for a multi-output switching power supply. BACKGROUND

[0002] With the development of multi-functional integration of electronic devices, multi-output switching power supply has become the core power supply architecture in the fields of industrial automation, communication base station, medical equipment, etc. Such power supply needs to provide multiple stable voltages for different functional modules (such as low-voltage large current required by the main processor, isolated medium voltage required by the sensor, and low-voltage small current required by the auxiliary circuit), and faces common challenges such as wide dynamic range of load, strong coupling interference between channels, and significant temperature drift. The traditional single-loop control scheme has systematic defects in the multi-output scene, and it is urgent to realize global voltage stabilization through innovative control methods. The existing technology is insufficient:

[0003] 1. Auxiliary channel response lag and stabilization precision degradation

[0004] In the existing master-slave control architecture, only the main output channel is implemented with closed-loop feedback, and the auxiliary channel relies on open-loop proportional regulation. When the load undergoes rapid step change, the output voltage recovery time of the auxiliary channel is prolonged due to the lack of real-time error correction mechanism; at the same time, the switching noise in the main channel regulation process will be coupled to the auxiliary loop through transformer parasitic parameters or PCB wiring, resulting in nonlinear increase of auxiliary output voltage ripple amplitude. Such problems will cause signal sampling distortion in high-precision power supply scenarios (such as medical image device ADC reference voltage source).

[0005] 2. Multi-channel cross interference difficult to dynamically suppress

[0006] The traditional decoupling scheme uses a fixed compensation network, which cannot adapt to changes in working state. When the input voltage fluctuates in a wide range, the suppression effect of the fixed parameter compensator on the coupling interference decreases sharply; while in the multi-channel load imbalance scene (such as asynchronous start / stop of communication device transmit / receive modules), the time-varying characteristics of the power coupling path between channels cause the dynamic migration of interference spectrum, and the static compensation strategy is difficult to track the changes of interference characteristics, causing periodic oscillation of the output voltage.

[0007] 3. Thermal drift effect amplification

[0008] The thermal distribution of power devices and magnetic elements in multi-output power supply is highly uneven. The existing temperature compensation technology only corrects the local reference source for a single channel, ignoring the drift transmission caused by thermal coupling effect: the increase of the junction temperature of the main power tube will affect the temperature distribution of the adjacent auxiliary channel elements through the heat dissipation path, and the traditional single-point temperature measurement scheme cannot sense the change of temperature gradient, resulting in slow drift of the compensated output voltage, and the drift error continues to accumulate after long-term operation.

[0009] 4. Control complexity and real-time contradiction

[0010] Although the full closed-loop multi-channel control can improve the accuracy, it brings the bottleneck of computing resources. In the digital control scheme, the multi-channel ADC sampling and parallel PID operation greatly increase the processor load, which is difficult to meet the control cycle requirement at high switching frequency; the analog control scheme has lower delay, but a large number of external discrete elements are needed to realize cross compensation, which leads to the expansion of the circuit volume and the difficulty of parameter setting. This contradiction is particularly prominent when the number of output channels increases, forcing the designer to sacrifice performance or cost. SUMMARY

[0011] Therefore, the present application provides a voltage stabilization control method for a multi-output switching power supply to solve the above problems.

[0012] The present application provides a voltage stabilization control method for a multi-output switching power supply, comprising: real-time sampling of the main output channel to obtain a voltage signal; processing the voltage signal through a wide-bandwidth error amplifier to generate a main channel adjustment signal, which is used to drive the main power switching device; receiving the input voltage fluctuation frequency band, the load current transient change gradient of the auxiliary channel and the frequency spectrum coupling characteristics of the main channel adjustment signal through a dynamic prediction model to generate an auxiliary channel adjustment signal with phase lead compensation characteristics; constructing a cross-coupling active cancellation mechanism, extracting the time-domain-frequency-domain characteristics of the coupled interference through a high-precision differential detection circuit, generating an amplitude-frequency adjustable reverse correction signal in real time through an adaptive compensation algorithm, and injecting the signal into the control node of the auxiliary output channel for dynamic decoupling and ripple suppression.

[0013] In another implementation manner of the present application, the dynamic prediction model comprises a multi-dimensional correlation analysis unit: a load current change rate prediction unit for establishing a nonlinear trajectory prediction model according to the load step amplitude range and the change rate threshold; an input voltage ripple suppression unit for analyzing the energy distribution of the high frequency band and the low frequency band of the input fluctuation to generate a ripple suppression weight coefficient; a main channel disturbance coupling analysis unit for quantizing the coupling strength interval of the main channel switching action on the auxiliary channel output voltage through a multivariate transfer function matrix, and finally fusing the above parameters to construct a pre-compensation signal generation engine with dynamic learning ability.

[0014] In another implementation manner of the present application, the receiving, by the dynamic prediction model, of the input voltage fluctuation frequency band of the auxiliary channel, the load current transient change gradient, and the frequency spectrum coupling characteristic of the main channel adjustment signal, and the generating of the auxiliary channel adjustment signal with phase lead compensation characteristic, comprises: receiving, by the dynamic prediction model, the input voltage fluctuation frequency band of the auxiliary channel, the load current transient change gradient, and the frequency spectrum coupling characteristic of the main channel adjustment signal; based on the input voltage fluctuation frequency band, the load current transient change gradient, and the frequency spectrum coupling characteristic of the main channel adjustment signal, performing fusion load current change prediction, ripple frequency band suppression weight, and coupled interference strength calculation to generate the auxiliary channel adjustment signal with phase lead compensation characteristic.

[0015] In another implementation manner of the present application, the generating, by the adaptive compensation algorithm, of the amplitude-frequency adjustable reverse correction signal in real time comprises: extracting the frequency spectrum envelope characteristic of the coupled interference quantity in real time and identifying the dominant interference frequency band position; according to the gain-phase composite adjustment curve in the compensation strategy library matched with the interference energy amplitude interval and the frequency band distribution, combining the load transient rate to dynamically adjust the compensation response time threshold range; compensating the compensation parameters according to the environmental temperature drift gradient; and outputting the reverse correction signal accurately matched with the real-time working condition through the digital waveform synthesizer.

[0016] In another implementation manner of the present application, further comprising: arranging a distributed temperature sensor array at the key thermal nodes of the power semiconductor devices and the magnetic elements of the main output channel and the auxiliary channel, collecting temperature drift characteristic data in a wide temperature interval and constructing a temperature-voltage drift three-dimensional mapping table; and preloading the dynamic compensation amount of the reference voltage reference value of all output channels according to the real-time temperature field distribution state to eliminate the drift effect in the thermal equilibrium process.

[0017] The voltage stabilization control method of the multi-output switching power supply adopts a cooperative mechanism of main channel closed-loop feedback control and auxiliary channel open-loop prediction control, generates a pre-compensation signal by fusing input voltage fluctuation, load change, and main channel coupling characteristics through a dynamic prediction model, outputs a reverse correction signal by combining an adaptive compensation algorithm to analyze interference frequency domain characteristics in real time, and pre-adjusts a reference voltage by integrating temperature field monitoring and drift mapping technology. The three cooperative mechanisms realize voltage stabilization, solve the problems of response lag of the auxiliary channel, insufficient cross interference suppression, and thermal drift accumulation in the multi-output switching power supply, realize high stability control of the multi-channel voltage under all working conditions, and improve the dynamic response speed and anti-interference ability. BRIEF DESCRIPTION OF DRAWINGS

[0018] In order to more clearly illustrate the technical solutions in the embodiments of the present application or the prior art, the following will briefly introduce the drawings needed to be used in the embodiments or prior art description. The advantages and benefits in the solutions will become clear to those skilled in the art by reading the following detailed description of the embodiments. The drawings are only for the purpose of illustrating the preferred embodiments and are not considered as limiting the present application.

[0019] Figure 1 The flow chart of the voltage stabilization control method of the multi-output switching power supply according to an embodiment of the present application.

[0020] Figure 2 The system framework schematic diagram of the voltage stabilization control system of the multi-output switching power supply according to an embodiment of the present application. DETAILED DESCRIPTION

[0021] In order to make the technical solutions in the embodiments of the present application better understood, the following will clearly and specifically describe the technical solutions in the embodiments of the present application with reference to the drawings in the embodiments of the present application. Obviously, the described embodiments are only some of the embodiments of the present application, but not all the embodiments. Based on the embodiments in the embodiments of the present application, all other embodiments obtained by those skilled in the art should belong to the scope of protection of the embodiments of the present application.

[0022] Figure 1 The flow chart of the voltage stabilization control method of the multi-output switching power supply according to an embodiment of the present application is shown in FIG. 1, which mainly includes: Figure 1

[0023] S101, real-time sampling is performed on the main output channel to obtain a voltage signal.

[0024] S102, the voltage signal is processed by a wide-bandwidth error amplifier to generate a main channel adjustment signal, and the main channel adjustment signal is used to drive a main power switching device.

[0025] Exemplarily, the main output channel adopts closed-loop feedback control, the output voltage is real-time sampled and an adjustment signal is generated through a wide-bandwidth error amplifier to directly drive the main power switching device, thereby ensuring the basic stability of the main output voltage.

[0026] S103, the input voltage fluctuation frequency band of the auxiliary channel, the load current transient change gradient, and the frequency spectrum coupling characteristics of the main channel adjustment signal are received by a dynamic prediction model to generate an auxiliary channel adjustment signal with phase lead compensation characteristics.

[0027] ​Exemplarily, for multiple auxiliary output channels, the system adopts an open-loop predictive control strategy, which is based on fluctuation characteristics of input voltage, transient trends of load current and coupling information in the main channel regulation signal, generates a driving signal with phase lead compensation characteristics by using a dynamic prediction model, thereby improving the response speed and anti-interference ability of the auxiliary channel.

[0028] In S104, a cross-coupling active cancellation mechanism is constructed, time-domain and frequency-domain characteristics of the coupling interference are extracted by a high-precision differential detection circuit, an amplitude-frequency adjustable reverse correction signal is generated in real time by an adaptive compensation algorithm, and the reverse correction signal is injected into the control node of the auxiliary output channel to perform dynamic decoupling and ripple suppression.

[0029] Exemplarily, the system constructs a cross-coupling active cancellation mechanism, real-time captures the time-domain and frequency-domain mixed characteristics of the inter-channel coupling interference by a high-precision differential detection circuit, and generates an amplitude-frequency characteristic adjustable reverse correction signal by means of an adaptive compensation algorithm, and injects the reverse correction signal into the control node of the auxiliary channel to realize dynamic decoupling and effectively suppress the mutual interference between multiple channels.

[0030] The overall working mode of this mechanism embodies the closed-loop control logic from signal acquisition, feature extraction to dynamic compensation, so that the multi-output power supply system can still maintain the high-precision stability of the channel voltages under complex working conditions.

[0031] The voltage stability control method of the multi-output switching power supply of the application adopts a cooperative mechanism of main channel closed-loop feedback control and auxiliary channel open-loop predictive control, generates a pre-compensation signal by fusing input voltage fluctuation, load change and main channel coupling characteristics through a dynamic prediction model; outputs a reverse correction signal by real-time analyzing the interference frequency domain characteristics in combination with an adaptive compensation algorithm; pre-adjusts the reference voltage by integrating temperature field monitoring and drift mapping technology; realizes voltage stability through the triple cooperative mechanism, solves the problems of response lag, insufficient cross interference suppression and thermal drift accumulation in the auxiliary channel of the multi-output switching power supply, realizes high stability control of the multi-channel voltage under all working conditions, and improves the dynamic response speed and anti-interference ability.

[0032] In another implementation manner of the application, the dynamic prediction model includes a multi-dimensional correlation analysis unit: a load current change rate prediction unit for establishing a nonlinear trajectory prediction model according to the load step amplitude range and the change rate threshold; an input voltage ripple suppression unit for analyzing the energy distribution of the high-frequency and low-frequency bands of the input fluctuation to generate a ripple suppression weight coefficient; and a main channel disturbance coupling analysis unit for quantizing the coupling strength interval of the main channel switching action on the auxiliary channel output voltage through a multivariate transfer function matrix, and finally fusing the above parameters to construct a pre-compensation signal generation engine with dynamic learning ability.

[0033] It should be understood that by further refining the internal structure of the dynamic prediction model, it contains a multi-dimensional correlation analysis unit, which respectively models and predicts the load current change, input voltage ripple, and main channel disturbance coupling.

[0034] The load current change rate prediction unit can predict the trend of load current change in the future short time according to the amplitude and change rate threshold of load step by establishing a nonlinear trajectory prediction model, providing forward-looking information for pre-compensation. The input voltage ripple suppression unit analyzes the energy distribution of high-frequency and low-frequency components in the input fluctuation to generate corresponding suppression weight coefficients to optimize the ripple suppression effect. The main channel disturbance coupling analysis unit quantifies the coupling strength of the main channel switch action on the auxiliary channel output voltage through a multivariate transfer function matrix to provide an accurate interference model for compensation.

[0035] Finally, the three types of parameters are weighted and superimposed in the fusion module to build a pre-compensation signal generation engine with dynamic learning ability. The engine can dynamically adjust the output according to the real-time working conditions to ensure the accuracy and adaptability of the pre-compensation signal.

[0036] In another implementation manner of the present application, the method for generating an auxiliary channel adjustment signal with phase lead compensation characteristics by receiving the input voltage fluctuation frequency band of the auxiliary channel, the load current transient change gradient, and the spectral coupling characteristics of the main channel adjustment signal through a dynamic prediction model comprises: receiving the input voltage fluctuation frequency band of the auxiliary channel, the load current transient change gradient, and the spectral coupling characteristics of the main channel adjustment signal through a dynamic prediction model; based on the input voltage fluctuation frequency band, the load current transient change gradient, and the spectral coupling characteristics of the main channel adjustment signal, performing fusion load current change prediction, ripple frequency band suppression weight, and coupling interference strength calculation to generate an auxiliary channel adjustment signal with phase lead compensation characteristics.

[0037] Exemplarily, the open-loop predictive control adopts a hybrid intelligent prediction architecture: through a deep neural network to learn the correlation mapping of input voltage ripple patterns and load current transient trajectories under historical working conditions, or to use a reduced-order transfer function to fit and establish a state space equation of a multi-input multi-output system, or to analyze the time series pattern of load changes based on a long short-term memory network, the prediction results are weighted and fused with real-time sampling data to generate a pre-compensation signal with noise suppression capability.

[0038] The hybrid intelligent prediction architecture of open-loop predictive control fuses multiple intelligent algorithms to improve prediction accuracy and robustness. The system can learn the correlation mapping between the input voltage ripple pattern and the load current transient trajectory under historical working conditions through a deep neural network, establish a nonlinear prediction model, use a reduced-order transfer function fitting method to construct the state space equation of a multi-input multi-output system, and realize mathematical description of system behavior, and analyze the time series pattern of load changes based on a long short-term memory network to capture dynamic characteristics.

[0039] The prediction results and real-time sampling data are integrated through a sliding weighted fusion strategy to effectively suppress noise interference and generate a pre-compensation signal with high accuracy and strong robustness to provide a forward-looking control instruction for the auxiliary channel.

[0040] In another implementation of the present application, the adaptive compensation algorithm generates an amplitude-frequency adjustable reverse correction signal in real time, including: real-time extraction of the spectral envelope features of the coupling interference quantity and identification of the dominant interference frequency band position; according to the gain-phase composite adjustment curve in the compensation strategy library matched with the interference energy amplitude interval and frequency band distribution, the compensation response time threshold range is dynamically adjusted combined with the load transient rate; the compensation parameters are temperature coefficient compensated according to the environmental temperature drift gradient; and the reverse correction signal accurately matched with the real-time working condition is output through a digital waveform synthesizer.

[0041] Exemplarily, the adaptive compensation algorithm performs multi-stage adaptive adjustment to achieve accurate suppression of coupling interference. The algorithm first extracts the spectral envelope features of the coupling interference signal in real time, identifies the dominant interference frequency band and its energy distribution, and then according to the interference characteristics, matches the gain-phase composite adjustment curve in the pre-stored compensation strategy library to obtain the basic compensation parameters. On this basis, the algorithm dynamically adjusts the compensation response time threshold combined with the load transient rate to ensure effective compensation tracking ability under different load change rates.

[0042] In another implementation of the present application, it also includes: arranging a distributed temperature sensor array at the key thermal nodes of the power semiconductor devices and magnetic elements of the main output channel and the auxiliary channel, collecting temperature drift characteristic data in a wide temperature interval and constructing a temperature-voltage drift three-dimensional mapping table; and preloading the dynamic compensation amount of the reference voltage reference value of all output channels according to the real-time temperature field distribution state to eliminate the drift effect in the thermal equilibrium process.

[0043] Exemplarily, the global thermal drift suppression mechanism is integrated, and through arranging a distributed temperature sensor array at the key thermal nodes of the power semiconductor devices and magnetic elements, the system can comprehensively collect temperature drift characteristic data in a wide temperature interval and construct a temperature-voltage drift three-dimensional mapping table. The mapping table reflects the drift law of the output voltage of each channel under different temperature combinations.

[0044] The compensation logic dynamically calculates the required reference voltage compensation amount of each output channel according to the real-time temperature field distribution state, and performs preloading operation, thereby actively offsetting the voltage drift effect caused by temperature change in the heat balance process. This mechanism improves the voltage stability of the system in a wide temperature range.

[0045] The system compensates the temperature coefficient of the compensation parameters according to the environmental temperature drift gradient, so as to eliminate the influence of temperature change on the compensation accuracy. Finally, the digital waveform synthesizer generates a reverse correction waveform sequence that accurately matches the real-time working condition, and the waveform has adjustable amplitude-frequency characteristics and can accurately offset the coupled interference, thereby improving the stability and anti-interference ability of the system.

[0046] The control method is implemented through a heterogeneous computing platform: a digital signal processor is used to execute a high-precision closed-loop feedback control algorithm, a field programmable gate array is used to construct a parallel pipeline computing architecture of a dynamic prediction model, or the control method is integrated into a multi-core power management chip to realize hardware acceleration operation of cross-coupling compensation logic, and the control method supports real-time configuration of control parameter threshold range through a serial communication interface. It is pointed out that the control method can be implemented through a heterogeneous computing platform, which fully utilizes the advantages of different computing units to improve system performance. The digital signal processor is responsible for executing a high-precision closed-loop feedback control algorithm to ensure the voltage stabilization performance of the main channel; the field programmable gate array is used to construct a parallel pipeline computing architecture of a dynamic prediction model, which greatly improves the prediction speed and real-time response; the control method can also be integrated into a multi-core power management chip to realize hardware acceleration operation of cross-coupling compensation logic, further improving the processing efficiency of the system. In addition, the system supports real-time configuration of control parameter threshold through a serial communication interface, enhancing the flexibility and configurability of the system.

[0047] Compatible with multiple switching power supply topologies: in the isolated flyback topology, the system dynamically adjusts the transformer turns ratio combination range to optimize the coupling between multiple outputs; in the LLC resonant topology, the system uses adaptive adjustment of resonant network parameters to reasonably distribute the output power ratio of each channel; in the multi-phase Buck derived topology, the system dynamically controls the phase stagger angle to effectively reduce the output ripple peak value. Regardless of the topology used, the system relies on the triple synergistic control strategy to achieve voltage stability control in the full load range, demonstrating strong adaptability and control effect. In the isolated flyback topology, the system dynamically adjusts the transformer turns ratio combination range to optimize the coupling between multiple outputs; in the LLC resonant topology, the system uses adaptive adjustment of resonant network parameters to reasonably distribute the output power ratio of each channel; in the multi-phase Buck derived topology, the system dynamically controls the phase stagger angle to effectively reduce the output ripple peak value. Regardless of the topology used, the system relies on the triple synergistic control strategy to achieve voltage stability control in the full load range, demonstrating strong adaptability and control effect.

[0048] As shown in Figure 2 The workflow of the present application starts from the system initialization phase, the control platform loads the preset parameters and starts the sampling and sensing module, and prepares for each control loop. The main output channel samples the voltage signal in real time, generates the PWM drive signal after error amplification and closed-loop regulation, and accurately controls the main power switch device to stabilize the output voltage. At the same time, the auxiliary channel adopts an open-loop prediction mechanism, and the dynamic prediction model continuously receives input voltage fluctuations, load change gradients, and main channel regulation signal spectrum and other multi-source information, and through the fusion of load current change prediction, ripple frequency band suppression weight and coupling interference intensity calculation, generates a pre-compensation drive signal with phase lead compensation characteristics, to improve the dynamic response performance of the auxiliary output. In order to further suppress the cross interference between channels, the system extracts the time-frequency characteristics of the coupling interference through a high-precision differential detection circuit, and the adaptive compensation algorithm generates an amplitude-frequency adjustable reverse correction signal in real time according to this, and injects it into the auxiliary channel control node, realizing dynamic decoupling and ripple suppression. In terms of thermal management, the distributed temperature sensor array continuously monitors the temperature of the key parts, and the system dynamically pre-compensates the multi-channel reference voltage according to the three-dimensional temperature field distribution and the pre-stored temperature drift mapping relationship, effectively overcoming the thermal drift effect. All control functions are realized based on a heterogeneous computing architecture, with a digital signal processor responsible for high-precision closed-loop regulation, and a programmable logic component accelerating prediction and compensation operations. The system also continuously optimizes itself during operation, fine-tuning model parameters and compensation strategies based on actual dynamic deviations and suppression effects, thereby achieving high stability control of multi-output voltage in a full working condition range.

[0049] Compared with the prior art, the present application realizes the full-domain high-precision voltage stabilization of multi-output switching power supply through a triple synergistic control mechanism: in the main output channel, closed-loop feedback control is adopted to ensure basic voltage stabilization performance, while open-loop control based on a dynamic prediction model is implemented for the auxiliary channel, which generates a drive signal with phase lead compensation characteristics by fusing input voltage fluctuation characteristics, load change trend and coupling information of the main channel regulation signal, thereby eliminating the response lag problem of the auxiliary channel; an innovative cross-coupling active cancellation mechanism is introduced, which uses an adaptive compensation algorithm to analyze the frequency-time domain hybrid characteristics of the interference between channels in real time, dynamically generates an amplitude-frequency characteristic adjustable reverse correction signal to inject into the control node, and effectively suppresses the ripple degradation caused by multi-channel power coupling; combined with distributed temperature field monitoring and three-dimensional drift mapping technology, the multi-channel reference voltage is pre-compensated according to the internal thermal gradient distribution of the power supply, thereby blocking the drift accumulation effect caused by heat transfer. The above technical chain runs synergistically in a heterogeneous computing architecture of digital signal processors, programmable logic devices or special control chips, improving the system's anti-interference ability and temperature adaptability, and achieving high stability control of multi-channel output voltage in a full load range, wide input voltage fluctuation and temperature variation range without the need to increase peripheral components.

[0050] In another aspect of the present application, the electronic device comprises a processor, a memory, and a communication bus, and a communications interface.

[0051] In which:

[0052] The processor, the memory, and the communications interface communicate with each other through the communication bus.

[0053] The communications interface is configured to communicate with other electronic devices or servers.

[0054] The processor is configured to execute a program, and specifically can execute the steps of the voltage stabilization control method of the multi-output switching power supply of any one of the above embodiments.

[0055] Specifically, the program can include program code comprising computer operating instructions.

[0056] The processor can be a central processing unit (CPU) or an application specific integrated circuit (ASIC) or one or more integrated circuits configured to implement the embodiments of the present application. The one or more processors included in the smart device can be the same type of processor, such as one or more CPUs; or can be different types of processors, such as one or more CPUs and one or more ASICs.

[0057] The memory is configured to store the program. The memory can include a high-speed RAM memory and can also include a non-volatile memory, such as at least one disk memory.

[0058] The program can specifically be used to cause the processor to execute the steps to implement the voltage stabilization control method of the multi-output switching power supply of any one of the embodiments described in the embodiments. The specific implementation of each step in the program can refer to the corresponding description of the steps and units executed by the voltage stabilization control method of the multi-output switching power supply of any one of the above steps, which will not be described here. Those skilled in the art can clearly understand that, for the convenience and brevity of description, the specific working process of the above-described devices and modules can refer to the corresponding process description in the foregoing method embodiments.

[0059] The exemplary embodiments of the present application also provide a non-transitory computer-readable storage medium having computer instructions stored therein, wherein the computer instructions are used to cause a computer to execute the method of the embodiments of the present application.

[0060] The above-described methods according to embodiments of the application can be implemented in hardware, firmware, or software, or any combination thereof, and can be implemented as software storable on a recording medium which is readable from a general use computer, a special processor or programmable, or a special hardware (such as ASIC or FPGA) using a general use computer, a special processor or programmable hardware (such as ASIC or FPGA). It can be understood that the computer, the processor, the microprocessor controller or the programmable hardware include a storage component (for example, RAM, ROM, flash memory, etc.) which can store or receive software or computer code, when the software or computer code is accessed and executed by the computer, the processor or the hardware, the above-described methods are implemented. In addition, when the general use computer accesses the code for implementing the methods shown herein, the execution of the code will convert the general use computer into a special computer for executing the methods shown herein.

[0061] So far, specific embodiments of the present application have been described. Other embodiments are within the scope of the following claims. In some cases, the acts recited in the claims can be performed in a different order and still achieve desirable results. Additionally, the processes depicted in the figures do not necessarily require the particular order shown, or sequential order, to achieve the desired results. In certain implementations, multitasking and parallel processing can be advantageous.

[0062] It should be noted that all directional directions (such as up, down, left, right, back, etc.) in the embodiments of the present application are only used to explain the relative position relationship, motion condition, etc. between components in a certain specific posture (as shown in the drawings), if the specific posture changes, the directional directions also change accordingly.

[0063] In the description of the present application, the terms "first", "second" are only used for the convenience of describing different components or names, and cannot be understood as indicating or implying the order relationship, relative importance or implicitly indicating the number of the indicated technical features. Therefore, the features defined with "first", "second" can be explicitly or implicitly included at least one of the features.

[0064] Unless otherwise defined, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this application belongs. The terminology used in the description of the application herein is for the purpose of describing particular embodiments only and is not intended to be limiting of the application.

[0065] It should be noted that, although the specific embodiments of the present application are described in detail with reference to the accompanying drawings, it should not be understood as limiting the scope of protection of the present application. Various modifications and variations made by those skilled in the art within the scope described in the claims are still within the scope of protection of the present application.

[0066] The examples of the embodiments of the present application are intended to simply illustrate the technical features of the embodiments of the present application, so that those skilled in the art can directly understand the technical features of the embodiments of the present application, and are not improper limitations on the embodiments of the present application.

[0067] Finally, it should be noted that: the above embodiments are only used to illustrate the technical solutions of the present application, and not to limit them; although the present application has been described in detail with reference to the foregoing embodiments, those skilled in the art should understand that: it can still modify the technical solutions recorded in the foregoing embodiments, or make equivalent replacement for part of the technical features; and these modifications or replacements do not make the essence of the corresponding technical solutions deviate from the spirit and scope of the technical solutions of the embodiments of the present application.

Claims

1. A voltage stabilization control method for a multi-output switching power supply, characterized in that, include: The main output channel is sampled in real time to obtain the voltage signal; The voltage signal is processed by a wide-bandwidth error amplifier to generate a main channel adjustment signal, which is used to drive the main power switching device. The auxiliary channel regulation signal with phase lead compensation characteristics is generated by receiving the frequency band of the input voltage fluctuation of the auxiliary channel, the gradient of the transient change of the load current, and the spectral coupling characteristics of the main channel regulation signal through a dynamic prediction model. A cross-coupling active cancellation mechanism is constructed. The time-frequency domain characteristics of coupling interference are extracted by a high-precision differential detection circuit. An adaptive compensation algorithm is used to generate an amplitude-frequency adjustable reverse correction signal in real time and inject it into the control node of the auxiliary output channel for dynamic decoupling and ripple suppression.

2. The method according to claim 1, characterized in that, The dynamic prediction model includes a multidimensional correlation analysis unit: The load current change rate prediction unit is used to establish a nonlinear trajectory prediction model based on the load step amplitude range and the change rate threshold. The input voltage ripple suppression unit is used to analyze the energy distribution of high-frequency and low-frequency bands of input fluctuations and generate ripple suppression weighting coefficients. The main channel disturbance coupling analysis unit is used to quantify the coupling strength range of the main channel switching action on the auxiliary channel output voltage through a multivariable transfer function matrix, and finally integrates the above parameters to construct a pre-compensation signal generation engine with dynamic learning capabilities.

3. The method according to claim 2, characterized in that, The process of receiving the frequency band of the input voltage fluctuation of the auxiliary channel, the gradient of the transient change of the load current, and the spectral coupling characteristics of the main channel regulation signal through a dynamic prediction model to generate an auxiliary channel regulation signal with phase lead compensation characteristics includes: The frequency band of input voltage fluctuation, the gradient of transient change of load current, and the spectral coupling characteristics of the main channel regulation signal are received through a dynamic prediction model. Based on the input voltage fluctuation frequency band, the transient change gradient of the load current, and the spectral coupling characteristics of the main channel adjustment signal, the load current change prediction, ripple frequency band suppression weight, and coupling interference intensity are calculated to generate an auxiliary channel adjustment signal with phase lead compensation characteristics.

4. The method according to claim 1, characterized in that, The method of generating an amplitude-frequency adjustable inverse correction signal in real time through an adaptive compensation algorithm includes: Real-time extraction of the spectral envelope features of coupled interference and identification of the dominant interference frequency band location; Based on the gain-phase composite adjustment curve in the compensation strategy library matching the interference energy amplitude range and frequency band distribution, the compensation response time threshold range is dynamically adjusted in combination with the load transient rate. Temperature coefficient compensation is applied to the compensation parameters based on the ambient temperature drift gradient. A reverse correction signal that is precisely matched to the real-time operating conditions is output through a digital waveform synthesizer.

5. The method according to claim 1, characterized in that, Also includes: A distributed temperature sensor array is arranged at the key thermal nodes of the power semiconductor devices and magnetic components in the main output channel and the auxiliary channel to collect temperature drift characteristic data in a wide temperature range and construct a three-dimensional temperature-voltage drift mapping table. Based on the real-time temperature field distribution, the reference voltage values ​​of all output channels are dynamically compensated and preloaded to eliminate the drift effect during the thermal equilibrium process.

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