Digital-analog hybrid control multi-loop ldo system and control method

Abstract

This invention discloses a hybrid analog-digital control multi-loop LDO system and control method, relating to the field of multi-loop LDO technology. The key technical solution includes the following steps: matching voltage fluctuation range, load switching parameters, and loop topology information to obtain candidate analog-digital cooperative control strategies and cooperative adjustment resolution; obtaining the loop cooperative adjustment duration of the candidate analog-digital cooperative control strategy based on the cooperative adjustment resolution and the loop steady-state convergence rate; obtaining the candidate loop cooperative adjustment cycle corresponding to the candidate analog-digital cooperative control strategy based on the start-up time and the loop cooperative adjustment duration; obtaining the strategy loss coefficient based on the analog-digital switching loss parameters of the candidate analog-digital cooperative control strategy, and obtaining the strategy priority coefficient by combining the strategy matching coefficient and the strategy loss coefficient; and outputting the target analog-digital cooperative control strategy based on the strategy priority coefficient and the candidate analog-digital cooperative control strategy. The effect is to effectively reduce dynamic power consumption and analog-digital switching disturbances.

Description

Technical Field

[0001] This invention relates to the field of multi-loop LDO technology, and more specifically, to a hybrid analog-digital control multi-loop LDO system and control method. Background Technology

[0002] As a power management module, multi-loop low-dropout linear regulators (LDOs) must simultaneously handle complex operating conditions such as rapid load changes and input voltage fluctuations, while meeting design requirements for high steady-state accuracy, fast transient response, and low power consumption. Traditional multi-loop LDOs often employ purely analog or purely digital control architectures, making it difficult to balance transient response speed and steady-state regulation accuracy. Furthermore, the coupling interference between sub-loops is significant, easily leading to output voltage overshoot, slow convergence speed, or even loop detuning.

[0003] With the development of hybrid analog-digital control technology, although it can balance the advantages of analog and digital control to a certain extent, existing control methods still have obvious limitations. On the one hand, the matching of control strategies and operating conditions largely relies on experience-based settings, lacking a systematic matching mechanism for voltage fluctuation range, load transition parameters, and loop topology. Therefore, it is prone to insufficient strategy adaptability and cannot quickly suppress voltage fluctuations under extreme load transition scenarios, leading to system performance degradation. On the other hand, the collaborative analysis between multiple loops is relatively crude, failing to quantitatively evaluate key parameters such as sub-loop coupling ratio and analog-digital matching degree. This makes it difficult to accurately identify loop detuning risks and ensure the stability of multi-loop collaborative operation. Summary of the Invention

[0004] To address the shortcomings of existing technologies, the present invention aims to provide a hybrid analog-digital control multi-loop LDO system and control method.

[0005] To achieve the above objectives, the present invention provides the following technical solution:

[0006] A control method for a hybrid analog-digital control multi-loop LDO system, the method comprising the following steps:

[0007] By matching the voltage fluctuation range, load switching parameters, and loop topology information, the candidate digital-analog collaborative control strategy and collaborative adjustment resolution are obtained.

[0008] The loop coordinated adjustment duration of the candidate analog-digital coordinated control strategy is obtained based on the coordinated adjustment resolution and the loop steady-state convergence rate; the candidate loop coordinated adjustment period corresponding to the candidate analog-digital coordinated control strategy is obtained based on the start-up time and the loop coordinated adjustment duration.

[0009] The coordinated operation parameters are obtained by analyzing each sub-loop of the multi-loop LDO within the coordinated adjustment cycle of the candidate loop.

[0010] The target coordinated adjustment period is obtained by filtering based on historical data, and the period matching coefficient between the candidate loop coordinated adjustment period and the target coordinated adjustment period is calculated.

[0011] The loop coordination coefficients of the candidate analog-digital collaborative control strategies are obtained by combining the collaborative operation parameters and the cycle matching coefficients.

[0012] The target numerical-analog collaborative control strategy is obtained by screening based on historical data, and the strategy matching coefficient between the candidate numerical-analog collaborative control strategy and the target numerical-analog collaborative control strategy is calculated.

[0013] The strategy loss coefficient is obtained based on the digital-to-analog switching loss parameter of the candidate digital-to-analog collaborative control strategy, and the strategy priority coefficient is obtained by combining the strategy matching coefficient and the strategy loss coefficient.

[0014] The target digital-analog collaborative control strategy is output based on the strategy priority coefficient and the candidate digital-analog collaborative control strategies.

[0015] Preferably, the coordinated operation parameters are obtained by analyzing each sub-loop of the multi-loop LDO within the coordinated adjustment cycle of the candidate loop, specifically including the following steps:

[0016] Obtain the cooperative characteristic parameters and cooperative weight coefficients of each sub-loop of the multi-loop LDO within the cooperative adjustment cycle of the candidate loop;

[0017] The loop coordination efficiency and weighted coupling index of the candidate digital-analog collaborative control strategy are obtained based on the collaborative characteristic parameters and collaborative weight coefficients.

[0018] The detuning probability of the loop is determined based on the weighted coupling index, and the cooperative operation parameters are obtained based on the detuning probability and the cooperative efficiency of the loop.

[0019] Preferably, the loop coordination efficiency and weighted coupling index of the candidate analog-digital cooperative control strategy are obtained based on the cooperative characteristic parameters and cooperative weight coefficients, specifically including the following steps:

[0020] The weighted matching degree is obtained based on the loop coupling ratio, the numerical-to-analog matching degree, and the collaborative weight coefficient of the collaborative feature parameters;

[0021] The weighted coupling index is obtained based on the loop coupling ratio, transient overshoot, standard overshoot-free output value, and cooperative weighting coefficient.

[0022] The loop coordination efficiency is obtained by comparing the weighted matching degree and the weighted coupling index with the preset matching degree range.

[0023] Preferably, the target coordinated adjustment cycle is obtained by filtering historical data, specifically including the following steps:

[0024] Extract historical data on the historical collaborative adjustment cycle, the number of cycles activated, and the frequency of cycles activated;

[0025] Set a first requirement assessment rule, which includes an activation count condition and an activation frequency condition;

[0026] Based on the first demand assessment rule, the number of times and frequency of activation of historical coordinated adjustment cycles are evaluated, and historical coordinated adjustment cycles that meet the conditions are marked as target coordinated adjustment cycles.

[0027] Preferably, calculating the period matching coefficient between the candidate loop coordinated adjustment period and the target coordinated adjustment period specifically includes the following steps:

[0028] The cycle weight value is obtained based on the number of cycles activated and the cycle activation frequency of the target coordinated adjustment cycle;

[0029] The candidate loop coordinated adjustment period is matched with the target coordinated adjustment period based on the period weight value to obtain the period matching rate;

[0030] The target matching period is determined based on the period matching rate, and the period matching coefficient is obtained based on the period weight value of the period matching rate and the target matching period.

[0031] Preferably, the target numerical-analog collaborative control strategy is obtained by filtering historical data, specifically including the following steps:

[0032] Historical numerical-analog collaborative control strategies, strategy execution counts, and strategy execution frequencies are extracted from historical data.

[0033] Set a second requirement assessment rule, which includes a number of runs condition and a run frequency condition;

[0034] Based on the second requirement assessment rule, the number of times and frequency of historical numerical-analog collaborative control strategies are evaluated, and historical numerical-analog collaborative control strategies that meet the conditions are marked as target numerical-analog collaborative control strategies.

[0035] Preferably, calculating the strategy matching coefficient between the candidate analog-digital collaborative control strategy and the target analog-digital collaborative control strategy specifically includes the following steps:

[0036] The strategy weight value is obtained based on the number of times the target numerical-analog collaborative control strategy is executed and the frequency of strategy execution.

[0037] The strategy matching rate is obtained by comparing the candidate analog-digital collaborative control strategy with the target analog-digital collaborative control strategy.

[0038] The strategy matching coefficient is obtained by combining the strategy weight value with the strategy matching rate.

[0039] Preferably, the strategy loss coefficient is obtained based on the analog-to-digital switching loss parameters of the candidate analog-to-digital collaborative control strategy, specifically including the following steps:

[0040] Obtain the number of digital-to-analog switching times and the dynamic power consumption loss of the loop within the selected loop's collaborative adjustment cycle for the candidate digital-to-analog collaborative control strategy.

[0041] Set the weights for the number of switching operations and power consumption loss;

[0042] The strategy loss coefficient is obtained based on the switching count weight, the number of digital-to-analog switching counts, the power consumption loss weight, and the loop dynamic power consumption loss.

[0043] Preferably, the target digital-analog collaborative control strategy is output based on the strategy priority coefficient and the candidate digital-analog collaborative control strategies, specifically including the following steps:

[0044] Set the strategy matching weight and strategy cost weight;

[0045] The strategy priority coefficient is obtained based on the strategy matching weight, the slight matching coefficient, the strategy loss weight, and the strategy loss coefficient.

[0046] The candidate digital-analog collaborative control strategy corresponding to the maximum strategy priority coefficient is determined as the target digital-analog collaborative control strategy.

[0047] A hybrid analog-digital control multi-loop LDO system includes:

[0048] Matching module: Matches voltage fluctuation range, load switching parameters and loop topology information to obtain candidate digital-analog collaborative control strategies and collaborative adjustment resolution;

[0049] The first processing module: obtains the loop collaborative adjustment duration of the candidate analog-digital collaborative control strategy based on the collaborative adjustment resolution and the loop steady-state convergence rate; obtains the candidate loop collaborative adjustment period corresponding to the candidate analog-digital collaborative control strategy based on the start-up time and the loop collaborative adjustment duration;

[0050] Analysis module: Analyzes each sub-loop of the multi-loop LDO within the coordinated adjustment cycle of the candidate loop to obtain coordinated operation parameters;

[0051] First calculation module: Based on historical data, the target coordinated adjustment period is obtained by filtering and the period matching coefficient between the candidate loop coordinated adjustment period and the target coordinated adjustment period is calculated;

[0052] The second processing module combines the cooperative operation parameters and the periodic matching coefficient to obtain the loop cooperative coefficient of the candidate digital-analog cooperative control strategy;

[0053] The second calculation module: Based on historical data, the target numerical-analog collaborative control strategy is obtained, and the strategy matching coefficient between the candidate numerical-analog collaborative control strategy and the target numerical-analog collaborative control strategy is calculated;

[0054] The third processing module obtains the strategy loss coefficient based on the digital-to-analog switching loss parameter of the candidate digital-to-analog collaborative control strategy, and obtains the strategy priority coefficient by combining the strategy matching coefficient and the strategy loss coefficient.

[0055] Output module: Outputs the target digital-analog collaborative control strategy based on the strategy priority coefficient and the candidate digital-analog collaborative control strategies.

[0056] Compared with the prior art, the present invention has the following beneficial effects:

[0057] This invention generates candidate analog-digital co-control strategies and co-regulation resolutions adapted to the current operating conditions by precisely matching voltage fluctuation range, load switching parameters, and loop topology. This avoids regulation failures or insufficient accuracy caused by mismatches between traditional control strategies and operating conditions. By analyzing the co-operational characteristic parameters and weighting coefficients of each sub-loop of a multi-loop LDO, co-operational operating parameters are obtained. This enables the assessment of coupling interference between multiple loops, analog-digital matching degree, and detuning risk, ensuring smooth coordination between sub-loops while reducing the risk of output instability caused by loop detuning, significantly improving the steady-state control accuracy and transient response stability of the system. Historical data is introduced to screen target co-regulation cycles and target analog-digital co-control strategies. By calculating cycle matching coefficients and strategy matching coefficients, historical high-efficiency operating experience is combined with current operating condition requirements, avoiding the one-sidedness caused by relying solely on current operating data and greatly improving the reliability and universality of the control strategy. The strategy loss coefficient is obtained by quantifying the number of analog-digital switching cycles and loop dynamic power consumption loss, incorporating energy efficiency and stability loss into the strategy evaluation dimension, effectively reducing dynamic power consumption and analog-digital switching disturbances. Attached Figure Description

[0058] Figure 1 This is a flowchart illustrating a loop control method for a hybrid analog-digital control multi-loop LDO system, as provided in an embodiment of the present invention.

[0059] Figure 2 This is a schematic diagram of a multi-loop LDO system with mixed analog and digital control, provided in an embodiment of the present invention. Detailed Implementation

[0060] To make the above-mentioned objects, features and advantages of the present invention more apparent and understandable, the specific embodiments of the present invention will be described in detail below with reference to the accompanying drawings.

[0061] Many specific details are set forth in the following description in order to provide a full understanding of the invention. However, the invention may also be practiced in other ways different from those described herein, and those skilled in the art can make similar extensions without departing from the spirit of the invention. Therefore, the invention is not limited to the specific embodiments disclosed below.

[0062] Secondly, the term "an embodiment" or "embodiment" as used herein refers to a specific feature, structure, or characteristic that may be included in at least one implementation of the present invention. The phrase "in one embodiment" appearing in different places throughout this specification does not necessarily refer to the same embodiment, nor is it a single embodiment or an embodiment selectively excluded from other embodiments.

[0063] Reference Figures 1-2 As shown.

[0064] The embodiments further illustrate the hybrid analog-digital control multi-loop LDO system and its loop control method proposed in this invention.

[0065] A loop control method for a hybrid analog-digital control multi-loop LDO system, comprising the following steps:

[0066] By matching the voltage fluctuation range, load switching parameters, and loop topology information, the candidate digital-analog collaborative control strategy and collaborative adjustment resolution are obtained.

[0067] Voltage fluctuation range refers to the maximum range in which the LDO output voltage deviates from its rated value when the load or input changes. It directly reflects the intensity of the system's demand for voltage stability. The larger the fluctuation range, the more severe the operating conditions, and the higher the requirements for the response capability and accuracy of the control strategy. Load jump parameters include the jump amplitude, jump rate, and jump duration of the load current, which determine the transient response intensity that the loop needs to cope with. The larger the jump amplitude and the faster the jump rate, the more prominent the requirements for the transient suppression capability of the control strategy. Loop topology information refers to the connection method, gain allocation, bandwidth distribution, and deployment location of the digital and analog modules of each sub-loop in a multi-loop LDO. It determines the control capability boundary. Different topologies support significantly different control strategy types and adjustment accuracies.

[0068] First, preliminary matching is performed using a pre-built operating condition strategy mapping library. This library stores suitable analog-digital co-control strategies corresponding to different combinations of voltage fluctuation ranges and load transition parameters. The preliminary matching results are then constrained and corrected based on loop topology information to ensure the candidate strategy matches the system hardware capabilities. When the voltage fluctuation range is ±5% of the rated value, the load transition amplitude is 80% of the rated load, the transition rate is 100mA / μs, and the loop topology includes a dual-path analog-digital hybrid structure, a candidate analog-digital co-control strategy incorporating fast analog transient suppression and digital steady-state calibration is obtained. If the voltage fluctuation range is only ±1%, the load transition amplitude is 20%, the transition rate is 10mA / μs, and the loop topology is a single-path analog-digital hybrid structure, a candidate analog-digital co-control strategy emphasizing steady-state accuracy adjustment is obtained, thus ensuring the compatibility of the candidate strategy with the current operating conditions and hardware capabilities.

[0069] The coordinated adjustment resolution is the minimum adjustment step size of the exponential module in the coordinated adjustment process, which directly determines the precision of the control. Its value is jointly determined by the voltage fluctuation range, load switching parameters, and the bandwidth capability of the loop topology. The coordinated adjustment resolution is calculated as: voltage fluctuation range × load switching rate coefficient / loop topology bandwidth. The load switching rate coefficient is a dimensionless parameter obtained by normalizing the switching amplitude and rate, and its value ranges from 0 to 1. The loop topology bandwidth refers to the minimum bandwidth value of each sub-loop, ensuring that the adjustment step size matches the system response capability. When the voltage fluctuation range is 0.1V, the load switching rate coefficient is 0.8, and the loop topology bandwidth is 1MHz, the coordinated adjustment resolution is 0.1×0.8 / 1=0.08V, meaning the minimum adjustment step of the digital-analog module is 0.08V each time. If the voltage fluctuation range is reduced to 0.02V, the load switching rate coefficient is 0.2, and the loop topology bandwidth is increased to 2MHz, then the coordinated adjustment resolution is 0.02×0.2 / 2=0.002V, achieving finer adjustment accuracy and providing precise accuracy basis for subsequent loop coordinated adjustment.

[0070] The loop coordinated adjustment duration of the candidate analog-digital coordinated control strategy is obtained based on the coordinated adjustment resolution and the loop steady-state convergence rate; the candidate loop coordinated adjustment period corresponding to the candidate analog-digital coordinated control strategy is obtained based on the start-up time and the loop coordinated adjustment duration.

[0071] The coordinated adjustment resolution represents the minimum voltage adjustment step size when the digital and analog modules are coordinated. The loop steady-state convergence rate reflects the loop's ability to converge the output voltage deviation to the steady-state target per unit time. Its value is determined by the bandwidth, phase margin, and response speed of the digital and analog modules of the loop topology. The unit is usually volts per second or percentage per second. The matching relationship between the two directly determines the adjustment time. The loop coordinated adjustment time = coordinated adjustment resolution / loop steady-state convergence rate. If the coordinated adjustment resolution is 0.08V and the current loop steady-state convergence rate is 0.02V / μs, substituting into the formula, we get the loop coordinated adjustment time = 0.08 / 0.02 = 4μs. That is, the candidate analog-digital coordinated control strategy needs 4 microseconds to complete the coordinated adjustment process from the current operating condition deviation to the steady-state target. If the coordinated adjustment resolution is increased to 0.002V and the loop steady-state convergence rate is increased to 0.001V / μs, then the loop coordinated adjustment time = 0.002 / 0.001 = 2μs. The adjustment resolution combined with the faster convergence rate results in a shorter adjustment time, ensuring that the system quickly recovers to steady state. In actual hardware operation scenarios, the switching delay of the digital-to-analog module and the execution interval of the adjustment step size need to be considered. At this time, the calculation formula is corrected to: loop coordinated adjustment time = (coordinated adjustment resolution / loop steady-state convergence rate) + digital-to-analog switching delay + adjustment step size execution interval. For example, when the digital-to-analog switching delay is 0.5μs and the adjustment step size execution interval is 0.3μs, it further conforms to the actual hardware operation and improves the accuracy of adjustment time calculation.

[0072] The candidate loop coordinated adjustment period is determined based on the start-up time and the loop coordinated adjustment duration. The candidate loop coordinated adjustment period is the complete time interval from the start-up of the exponential-modulus coordinated control strategy to the completion of all adjustment actions. The start-up time refers to the initial time point when the system detects a voltage fluctuation or load change, triggering the candidate digital-analog coordinated control strategy. The start-up time is superimposed with the loop coordinated adjustment duration to obtain the end time of the adjustment period, thus defining the complete time interval. If the load change occurs at 10μs, i.e., the strategy start-up time is 10μs and the loop coordinated adjustment duration is 4.8μs, then the start time of the candidate loop coordinated adjustment period is 10μs, and the end time is 10 + 4.8 = 14.8μs. This period covers the time interval from 10μs to 14.8μs.

[0073] The collaborative operation parameters are obtained by analyzing each sub-loop of the multi-loop LDO within the collaborative adjustment cycle of the candidate loops, specifically including the following steps:

[0074] Obtain the cooperative characteristic parameters and cooperative weight coefficients of each sub-loop of the multi-loop LDO within the cooperative adjustment cycle of the candidate loop;

[0075] The loop coordination efficiency and weighted coupling index of the candidate analog-digital cooperative control strategy are obtained based on the cooperative characteristic parameters and cooperative weight coefficients, specifically including the following steps:

[0076] The weighted matching degree is obtained based on the loop coupling ratio, the numerical-to-analog matching degree, and the collaborative weight coefficient of the collaborative feature parameters;

[0077] The weighted coupling index is obtained based on the loop coupling ratio, transient overshoot, standard overshoot-free output value, and cooperative weighting coefficient.

[0078] The loop coordination efficiency is obtained by comparing the weighted matching degree and the weighted coupling index with the preset matching degree range.

[0079] The loop detuning probability is determined based on the weighted coupling index, and the cooperative operation parameters are obtained based on the loop detuning probability and the loop cooperative efficiency.

[0080] Obtain the collaborative characteristic parameters and collaborative weight coefficients of each sub-loop of the multi-loop LDO within the selected loop collaborative adjustment period. Collaborative characteristic parameters are indicators of the collaborative operating status of each sub-loop within the adjustment period, mainly including loop coupling ratio, analog-digital matching degree, and transient overshoot. Loop coupling ratio refers to the proportion of influence of a certain sub-loop's control action on the output of other sub-loops, reflecting the intensity of mutual interference between multiple loops. Analog-digital matching degree refers to the degree of fit between the digital control module and the analog control module in terms of adjustment step size and response speed, with a value ranging from 0 to 1; a higher value indicates smoother collaboration between the digital and analog modules. Transient overshoot refers to the maximum extent by which the output voltage exceeds the steady-state target after a load jump, and is an indicator of transient response performance. Collaborative weight coefficients are weight values ​​assigned based on the functional priority of each sub-loop in the system and its impact on overall stability. The sum of the weight coefficients of all sub-loops is 1. For example, the weight of the sub-loop responsible for fast transient suppression is set to 0.6, and the weight of the sub-loop responsible for steady-state accuracy calibration is set to 0.4.

[0081] The weighted matching degree and weighted coupling index are calculated based on the collaborative characteristic parameters and collaborative weighting coefficients. Weighted matching degree = loop coupling ratio × collaborative weighting coefficient + analog-digital matching degree × collaborative weighting coefficient. This index comprehensively reflects the balance between the collaborative adaptability of analog-digital modules and the degree of interference between loops. If the loop coupling ratio of a sub-loop is 0.3, the analog-digital matching degree is 0.8, and the collaborative weighting coefficient is 0.6, then the weighted matching degree = 0.3 × 0.6 + 0.8 × 0.6 = 0.66. A higher value indicates better analog-digital collaborative adaptability and lower loop interference. Weighted coupling index = loop coupling ratio × collaborative weighting coefficient + (transient overshoot / standard no-overshoot output value) × collaborative weighting coefficient, where the standard no-overshoot output value is the system's preset standard steady-state output voltage. This index quantifies the coupling strength and transient performance degradation degree between multiple loops. If the loop coupling ratio of a certain sub-loop is 0.3, the transient overshoot is 0.05V, the standard no-overshoot output value is 1.8V, and the cooperative weighting coefficient is 0.6, then the weighted coupling index = 0.3 × 0.6 + (0.05 / 1.8) × 0.6 ≈ 0.1967. The higher the value, the stronger the loop coupling interference and the worse the transient performance.

[0082] The loop coordination efficiency is obtained by comparing the weighted matching degree and weighted coupling index with a preset matching degree range. The preset matching degree range is a performance threshold range pre-set according to the system design objectives. For example, a weighted matching degree of 0.6 to 0.9 and a weighted coupling index of 0 to 0.2 are set as the high-efficiency coordination range, a weighted matching degree of 0.3 to 0.6 and a weighted coupling index of 0.2 to 0.5 are set as the medium-efficiency coordination range, and the remaining ranges are the low-efficiency coordination ranges. By mapping the weighted matching degree and weighted coupling index to the corresponding ranges, the level of loop coordination efficiency can be obtained. If the weighted matching degree of 0.66 and the weighted coupling index of 0.1967 fall into the high-efficiency coordination range, the loop coordination efficiency of this sub-loop is high, indicating that the selected analog-digital cooperative control strategy performs well in this sub-loop.

[0083] Loop detuning probability refers to the probability that control detuning and output instability will occur due to coupling interference between multiple loops. Loop detuning probability = weighted coupling index / (1 + weighted coupling index). For example, when the weighted coupling index is 0.1967, the loop detuning probability = 0.1967 / (1 + 0.1967) ≈ 0.1643. The lower the value, the lower the risk of loop detuning. Cooperative operation parameters are a comprehensive quantitative result of loop detuning probability and loop cooperative efficiency. Cooperative operation parameters = loop cooperative efficiency level score × (1 - loop detuning probability). If the level score of the high-efficiency cooperative interval is 1, then the cooperative operation parameter of this sub-loop = 1 × (1 - 0.1643) = 0.8357. The higher the value, the better the cooperative operation stability and efficiency of the selected analog-digital cooperative control strategy in this sub-loop.

[0084] The target coordinated adjustment cycle is obtained by filtering historical data, specifically including the following steps:

[0085] Extract historical data on the historical collaborative adjustment cycle, the number of cycles activated, and the frequency of cycles activated;

[0086] Set the first requirement assessment rule, which includes the activation count condition and the activation frequency condition;

[0087] Based on the first demand assessment rule, the number of times and frequency of activation of historical coordinated adjustment cycles are evaluated, and historical coordinated adjustment cycles that meet the conditions are marked as target coordinated adjustment cycles.

[0088] Extract historical data for the historical coordinated adjustment cycle, cycle activation count, and cycle activation frequency. The historical coordinated adjustment cycle refers to the complete adjustment time interval used by the system for different operating conditions in past operations. Each cycle corresponds to a specific voltage fluctuation range, load switching parameters, and analog-digital coordinated control strategy. The cycle activation count refers to the total number of times a historical coordinated adjustment cycle has been actually triggered and executed in past operations, reflecting the application prevalence of that cycle. The cycle activation frequency refers to the number of times a historical coordinated adjustment cycle is activated per unit time. The cycle activation frequency = cycle activation count / total statistical duration, usually measured in times per hour or times per day, reflecting the frequency of application of that cycle. For example, in historical data with a statistical duration of 1000 hours, if a certain historical coordinated adjustment cycle is activated 200 times, then its cycle activation frequency = 200 / 1000 = 0.2 times per hour, meaning that this cycle is triggered on average once every 5 hours.

[0089] The first requirement assessment rule is set, which includes an activation frequency condition and an activation count condition. The activation count condition refers to the minimum activation count threshold that a historical coordinated adjustment cycle must meet. This is used to filter cycles that have been verified in practice and have stable operating effects. For example, setting the activation count threshold to 100 times means that only historical cycles with 100 or more activations are eligible for the candidate test. The activation frequency condition refers to the minimum activation frequency threshold that a historical coordinated adjustment cycle must meet. This is used to filter cycles that are suitable for high-frequency operating conditions and have high application value. For example, setting the activation frequency threshold to 0.1 times per hour means that only historical cycles with an activation frequency of 0.1 times per hour or more are eligible for the candidate test. The rules can be flexibly adjusted according to the actual needs of the system. If the system prioritizes operational stability, the activation count threshold can be appropriately increased; if the system prioritizes operating condition adaptability, the activation frequency threshold can be appropriately increased.

[0090] Based on the first demand assessment rule, all historical coordinated adjustment cycles are evaluated, and those that simultaneously meet the activation frequency and activation number conditions are marked as target coordinated adjustment cycles. If the activation frequency threshold is set to 100 times and the activation frequency threshold is set to 0.1 times per hour, and a certain historical coordinated adjustment cycle has 150 activations and an activation frequency of 0.2 times per hour, satisfying both conditions, then this cycle is marked as a target coordinated adjustment cycle. If another historical coordinated adjustment cycle has 80 activations and an activation frequency of 0.3 times per hour, it cannot be marked as a target coordinated adjustment cycle because it does not meet the activation frequency condition. If a third historical coordinated adjustment cycle has 120 activations and an activation frequency of 0.08 times per hour, it cannot be marked as a target coordinated adjustment cycle because it does not meet the activation frequency condition.

[0091] Calculating the period matching coefficient between the candidate loop coordinated adjustment period and the target coordinated adjustment period includes the following steps:

[0092] The cycle weight value is obtained based on the number of cycles activated and the cycle activation frequency of the target coordinated adjustment cycle;

[0093] The candidate loop coordinated adjustment period is matched with the target coordinated adjustment period based on the period weight value to obtain the period matching rate;

[0094] The target matching period is determined based on the period matching rate, and the period matching coefficient is obtained based on the period weight value of the period matching rate and the target matching period.

[0095] The cycle weight value is calculated based on the number of times and frequency of activation of the target coordinated adjustment cycle. The cycle weight value measures the importance of each target coordinated adjustment cycle in historical operation. The cycle weight value = number of activations × frequency weight coefficient + frequency × frequency weight coefficient. The frequency weight coefficient and frequency weight coefficient are preset normalized coefficients, and their sum is 1. If more emphasis is placed on the stability of historical operation, the frequency weight coefficient is increased; if more emphasis is placed on the frequency of operating condition adaptation, the frequency weight coefficient is increased. For example, if the frequency weight coefficient is set to 0.6 and the frequency weight coefficient is 0.4, and a target coordinated adjustment cycle is activated 150 times with a frequency of 0.2 times per hour, then the cycle weight value = 150 × 0.6 + 0.2 × 0.4 = 90.08; if another target coordinated adjustment cycle is activated 120 times with a frequency of 0.3 times per hour, then the cycle weight value = 120 × 0.6 + 0.3 × 0.4 = 72.12.

[0096] The cycle matching rate is obtained by matching the candidate loop coordinated adjustment cycle with the target coordinated adjustment cycle based on the cycle weight value. The cycle matching rate reflects the degree of fit between the candidate cycle and each target cycle in terms of time length and operating condition adaptability. The cycle matching rate = 1 - |cancelled cycle duration - target cycle duration| / max(cancelled cycle duration, target cycle duration). This formula calculates the matching rate between 0 and 1 by calculating the normalized value of the duration difference. The closer the value is to 1, the higher the degree of matching. For example, if the duration of the candidate loop coordinated adjustment cycle is 4.8 μs and the duration of a target coordinated adjustment cycle is 5 μs, then the cycle matching rate = 1 - |4.8 - 5| / max(4.8, 5) = 1 - 0.2 / 5 = 0.96; if the duration of another target coordinated adjustment cycle is 6 μs, then the cycle matching rate = 1 - |4.8 - 6| / max(4.8, 6) = 1 - 1.2 / 6 = 0.8.

[0097] The target matching period refers to the target coordinated adjustment period with the highest matching rate with the candidate period; that is, the period corresponding to the maximum period matching rate is selected from all target periods. The period matching coefficient is the product of the period weight value of the target matching period and the corresponding period matching rate. Period matching coefficient = period weight value of the target matching period × period matching rate of the target matching period. If the matching rate between the candidate period and the first target period is 0.96, and the matching rate with the second target period is 0.8, then the target matching period is the first target period, with a period weight value of 90.08. Therefore, the period matching coefficient = 90.08 × 0.96 ≈ 86.48, which comprehensively considers the importance of the target period and the degree of matching between the candidate period and the target period.

[0098] The loop coordination coefficients of the candidate analog-digital collaborative control strategies are obtained by combining the collaborative operation parameters and the cycle matching coefficients.

[0099] The collaborative operation parameters are comprehensive indicators calculated based on the collaborative characteristic parameters and weighting coefficients of each sub-loop. They reflect the collaborative stability and operational efficiency of the candidate analog-digital collaborative control strategy within the adjustment cycle. Higher values ​​indicate smoother collaboration among multiple loops, lower detuning risk, and better control performance. The cycle matching coefficient is a quantitative result of the degree of matching between the candidate collaborative adjustment cycle and the historical target collaborative adjustment cycle. It integrates the historical importance of the target cycle and the operating condition adaptability of the candidate cycle. Higher values ​​indicate a higher degree of fit between the candidate cycle and the historically verified high-efficiency cycle.

[0100] The loop coordination coefficient is calculated as follows: Coordination operation parameter × Coordination parameter weight + Periodic matching coefficient × Periodic matching weight. The coordination parameter weight and periodic matching weight are preset normalized coefficients, and their sum is 1. These are flexibly adjusted according to the system design objectives. If more emphasis is placed on the stability of multi-loop coordination under the current operating conditions, the coordination parameter weight is increased; if the system places more emphasis on the periodic adaptability verified historically, the periodic matching weight is increased. For example, if the coordination parameter weight is set to 0.6 and the periodic matching weight to 0.4, and the coordination operation parameter of a candidate analog-digital collaborative control strategy is 0.8357 with a periodic matching coefficient of 86.48, then the loop coordination coefficient = 0.8357 × 0.6 + 86.48 × 0.4 = 35.0934; if the coordination operation parameter of another candidate analog-digital collaborative control strategy is 0.7521 with a periodic matching coefficient of 92.16, then the loop coordination coefficient = 0.7521 × 0.6 + 92.16 × 0.4 = 37.3153.

[0101] The target numerical-analog collaborative control strategy is obtained by filtering historical data, specifically including the following steps:

[0102] Historical numerical-analog collaborative control strategies, strategy execution counts, and strategy execution frequencies are extracted from historical data.

[0103] Set up a second requirement assessment rule, which includes the number of runs condition and the run frequency condition;

[0104] Based on the second requirement assessment rule, the number of times and frequency of historical numerical-analog collaborative control strategies are evaluated, and historical numerical-analog collaborative control strategies that meet the conditions are marked as target numerical-analog collaborative control strategies.

[0105] Historical analog-digital co-control strategies, strategy execution counts, and strategy execution frequencies are extracted from historical data. Historical analog-digital co-control strategies refer to the hybrid analog-digital control schemes adopted by the system under different operating conditions in past operations. Each strategy corresponds to a specific voltage fluctuation range, load transition parameters, and coordinated adjustment resolution. Strategy execution counts refer to the total number of times a historical analog-digital co-control strategy has been actually triggered and executed in past operations, reflecting the application prevalence and stability verification of the strategy. Strategy execution frequency refers to the number of times a historical analog-digital co-control strategy runs per unit of time. Strategy execution frequency = strategy execution count / total statistical duration, usually measured in hours or days, reflecting the frequency of application and adaptability to operating conditions. In historical data with a statistical duration of 1000 hours, a certain historical analog-digital co-control strategy was executed 250 times. Therefore, its strategy execution frequency = 250 / 1000 = 0.25 times per hour, meaning that the strategy was triggered on average once every 4 hours.

[0106] A second set of requirements assessment rules is established, comprising two core constraints: the number of runs and the operating frequency. The number of runs requirement refers to the minimum threshold number of runs that a historical analog-digital collaborative control strategy must meet. This is used to filter strategies that have been validated through extensive practical operation and demonstrate stable control performance. For example, setting the number of runs threshold to 150 means that only historical strategies with 150 or more runs are eligible as candidates. The operating frequency requirement refers to the minimum operating frequency threshold that a historical analog-digital collaborative control strategy must meet. This is used to filter strategies that are adaptable to high-frequency operating conditions and have high application value. For example, setting the operating frequency threshold to 0.15 times per hour means that only historical strategies with an operating frequency of 0.15 times per hour or higher are eligible as candidates. Both types of conditions can be flexibly adjusted according to the actual needs of the system. If the stability and reliability of the control strategy are emphasized more, the number of runs threshold should be appropriately increased; if the system emphasizes the strategy's rapid adaptability to high-frequency operating conditions, the operating frequency threshold should be appropriately increased.

[0107] Based on the second requirement assessment rule, all historical analog-digital collaborative control strategies are evaluated. Historical strategies that simultaneously meet both the number of runs and the frequency of runs are marked as target analog-digital collaborative control strategies. If the set threshold for the number of runs is 150 and the threshold for the frequency of runs is 0.15 times per hour, and a historical analog-digital collaborative control strategy runs 250 times and has a frequency of 0.25 times per hour, satisfying both conditions, then this strategy is marked as a target analog-digital collaborative control strategy. If another historical analog-digital collaborative control strategy runs 120 times and has a frequency of 0.3 times per hour, it cannot be marked as a target analog-digital collaborative control strategy because it does not meet the number of runs condition. If a third historical analog-digital collaborative control strategy runs 180 times and has a frequency of 0.12 times per hour, it cannot be marked as a target analog-digital collaborative control strategy because it does not meet the frequency of runs condition.

[0108] Calculating the strategy matching coefficient between the candidate analog-digital collaborative control strategy and the target analog-digital collaborative control strategy includes the following steps:

[0109] The strategy weight value is obtained based on the number of times the target numerical-analog collaborative control strategy is executed and the frequency of strategy execution.

[0110] The strategy matching rate is obtained by comparing the candidate analog-digital collaborative control strategy with the target analog-digital collaborative control strategy.

[0111] The strategy matching coefficient is obtained by combining the strategy weight value with the strategy matching rate.

[0112] The strategy weight value is calculated based on the number of times and frequency of operation of the target analog-digital collaborative control strategy. The strategy weight value measures the importance of each target analog-digital collaborative control strategy in historical operation. The strategy weight value = number of strategy operations × frequency weight coefficient + frequency weight coefficient. The frequency weight coefficient and frequency weight coefficient are preset normalized coefficients, and their sum is 1, which can be flexibly adjusted according to system requirements. For example, if the frequency weight coefficient is set to 0.7 and the frequency weight coefficient to 0.3, and a target analog-digital collaborative control strategy operates 250 times with a frequency of 0.25 times per hour, then the strategy weight value = 250 × 0.7 + 0.25 × 0.3 = 175.075; if another target analog-digital collaborative control strategy operates 200 times with a frequency of 0.3 times per hour, then the strategy weight value = 200 × 0.7 + 0.3 × 0.3 = 140.09.

[0113] The strategy matching rate is obtained by comparing the candidate analog-digital co-control strategy with the target analog-digital co-control strategy. The strategy matching rate reflects the degree of fit between the candidate strategy and each target strategy in terms of control logic, analog-digital co-control method, and adjustment parameters. The strategy matching rate is calculated as: 1 - (sum of absolute differences between the parameters of the candidate strategy and the target strategy) / (sum of the maximum values ​​of the parameters of the candidate strategy and the target strategy). This formula calculates the matching rate between 0 and 1 by normalizing the parameter differences; the closer the value is to 1, the higher the degree of matching. For example, if the candidate analog-digital co-control strategy has a co-adjustment resolution of 0.08V and a loop co-adjustment duration of 4.8μs, and a target analog-digital co-control strategy has a co-adjustment resolution of 0.075V and a loop co-adjustment duration of 5μs, then the sum of the absolute differences in parameters = |0.08 - 0.075| + |4.8 - 5| = 0.005 + 0.2 = 0.205, and the sum of the maximum values ​​of parameters = 0.08 + 5 = 5.08. The strategy matching rate is approximately 0.9596 (1-0.205 / 5.08). If the coordination resolution of the other target analog-digital coordinated control strategy is 0.06V and the loop coordination time is 6μs, then the sum of the absolute differences of the parameters is |0.08-0.06|+|4.8-6|=1.22, the sum of the maximum values ​​of the parameters is 0.08+6=6.08, and the strategy matching rate is approximately 0.7993 (1-1.22 / 6.08).

[0114] The strategy matching coefficient is the product of the target strategy's strategy weight value and the corresponding strategy matching rate. Strategy matching coefficient = target strategy's strategy weight value × target strategy's strategy matching rate. If the matching rate between the candidate strategy and the first target strategy is 0.9596, and the matching rate with the second target strategy is 0.7993, then the first target strategy with the higher matching rate is selected. Its strategy weight value is 175.075. Therefore, the strategy matching coefficient = 175.075 × 0.9596 ≈ 168.00.

[0115] The strategy loss coefficient is obtained based on the analog-to-digital switching loss parameters of the candidate analog-to-digital collaborative control strategy, specifically including the following steps:

[0116] Obtain the number of digital-to-analog switching times and the dynamic power consumption loss of the loop within the selected loop's collaborative adjustment cycle for the candidate digital-to-analog collaborative control strategy.

[0117] Set the weights for the number of switching operations and power consumption loss;

[0118] The strategy loss coefficient is obtained based on the switching count weight, the number of digital-to-analog switching counts, the power consumption loss weight, and the loop dynamic power consumption loss.

[0119] Obtain the number of analog-to-digital switching operations and the dynamic power consumption of the loop within the selected loop's coordinated adjustment period for the candidate analog-to-digital coordinated control strategy. The number of analog-to-digital switching operations refers to the total number of switching operations between the digital control module and the analog control module throughout the entire adjustment period. Each switching operation introduces control delay and signal disturbance. The more switching operations, the greater the impact on control stability and response efficiency. The dynamic power consumption of the loop refers to the total additional power consumption generated by each sub-loop of the multi-loop LDO due to control actions, signal transmission, and analog-to-digital switching within the adjustment period. The higher the dynamic power consumption, the lower the energy efficiency level. For example, a candidate analog-to-digital coordinated control strategy switches between the analog and digital modules 3 times within a 4.8 microsecond adjustment period, corresponding to a dynamic power consumption of 2.4 milliwatts. This data directly reflects the intensity of the loss during the adjustment process of this strategy.

[0120] The weights for switching frequency and power consumption are set to balance the relative importance of analog-to-digital switching and dynamic power consumption in the overall loss assessment. The sum of these two weights is 1, and they can be flexibly adjusted according to the system design goals. Setting the switching frequency weight to 0.4 and the power consumption weight to 0.6 indicates a higher weight for dynamic power consumption in the loss assessment, better aligning with the needs of low-power application scenarios.

[0121] The strategy loss coefficient is calculated based on the weights of the number of switching operations, the number of digital-to-analog switching operations, the power consumption loss weight, and the loop dynamic power consumption loss. The strategy loss coefficient = (weight of switching operations × number of digital-to-analog switching operations) + (weight of power consumption loss × loop dynamic power consumption loss). A weighted summation method integrates the two types of loss indicators into a single quantitative index. A higher value indicates a greater overall loss for the candidate strategy and worse energy efficiency and stability. For example, if the weight of the number of switching operations is 0.4, the number of digital-to-analog switching operations is 3, the power consumption loss weight is 0.6, and the loop dynamic power consumption loss is 2.4 milliwatts, then the strategy loss coefficient = 0.4 × 3 + 0.6 × 2.4 = 1.2 + 1.44 = 2.64. If another candidate digital-to-analog collaborative control strategy has 2 digital-to-analog switching operations and 1.8 milliwatts of loop dynamic power consumption loss within the same adjustment period, then the strategy loss coefficient = 0.4 × 2 + 0.6 × 1.8 = 0.8 + 1.08 = 1.88.

[0122] The strategy priority coefficient is obtained by combining the strategy matching coefficient and the strategy loss coefficient;

[0123] The target digital-analog collaborative control strategy is output based on the strategy priority coefficient and the candidate digital-analog collaborative control strategies, specifically including the following steps:

[0124] Set the strategy matching weight and strategy cost weight;

[0125] The strategy priority coefficient is obtained based on the strategy matching weight, the slight matching coefficient, the strategy loss weight, and the strategy loss coefficient.

[0126] The candidate digital-analog collaborative control strategy corresponding to the maximum strategy priority coefficient is determined as the target digital-analog collaborative control strategy.

[0127] The strategy priority coefficient is calculated by combining the strategy matching coefficient and the strategy loss coefficient. The strategy matching coefficient reflects the degree of fit between the candidate strategy and historically validated efficient strategies; a higher value indicates better synergistic performance and operational adaptability. The strategy loss coefficient reflects the level of analog-to-digital switching and dynamic power consumption loss of the candidate strategy during adjustment; a higher value indicates worse energy efficiency and stability. To balance the influence of these two indicators, strategy matching weights and strategy loss weights need to be set first, with their sum being 1. These can be flexibly adjusted according to the system design objectives.

[0128] The strategy priority coefficient is calculated as follows: Strategy Matching Weight × Strategy Matching Coefficient - Strategy Loss Weight × Strategy Loss Coefficient. This formula integrates the positive contribution of matching effectiveness with the negative impact of loss level through a weighted summation. A higher value indicates better overall performance of the candidate strategy. For example, if the strategy matching weight is set to 0.6 and the strategy loss weight is 0.4, and the strategy matching coefficient of a candidate analog-digital collaborative control strategy is 168.00 and the strategy loss coefficient is 2.64, then the strategy priority coefficient = 0.6 × 168.00 - 0.4 × 2.64 = 99.744; if the strategy matching coefficient of another candidate analog-digital collaborative control strategy is 152.00 and the strategy loss coefficient is 1.88, then the strategy priority coefficient = 0.6 × 152.00 - 0.4 × 1.88 = 90.448.

[0129] The strategy priority coefficients of all candidate analog-digital cooperative control strategies are ranked, and the strategy with the highest priority coefficient is selected as the target analog-digital cooperative control strategy. This strategy possesses cooperative performance that highly matches historically efficient strategies and achieves an optimal balance between analog-digital switching and dynamic power consumption, thus maximizing the stable operation and energy efficiency of the multi-loop LDO system under current operating conditions. If there are three candidate strategies with priority coefficients of 99.744, 90.448, and 85.621, the strategy with priority coefficient 99.744 is selected as the target analog-digital cooperative control strategy.

[0130] A hybrid analog-digital control multi-loop LDO system includes:

[0131] Matching module: Matches voltage fluctuation range, load switching parameters and loop topology information to obtain candidate digital-analog collaborative control strategies and collaborative adjustment resolution;

[0132] The first processing module: obtains the loop collaborative adjustment duration of the candidate analog-digital collaborative control strategy based on the collaborative adjustment resolution and the loop steady-state convergence rate; obtains the candidate loop collaborative adjustment period corresponding to the candidate analog-digital collaborative control strategy based on the start-up time and the loop collaborative adjustment duration;

[0133] Analysis module: Analyzes each sub-loop of the multi-loop LDO within the coordinated adjustment cycle of the candidate loop to obtain coordinated operation parameters;

[0134] First calculation module: Based on historical data, the target coordinated adjustment period is obtained by filtering and the period matching coefficient between the candidate loop coordinated adjustment period and the target coordinated adjustment period is calculated;

[0135] The second processing module combines the cooperative operation parameters and the periodic matching coefficient to obtain the loop cooperative coefficient of the candidate digital-analog cooperative control strategy;

[0136] The second calculation module: Based on historical data, the target numerical-analog collaborative control strategy is obtained, and the strategy matching coefficient between the candidate numerical-analog collaborative control strategy and the target numerical-analog collaborative control strategy is calculated;

[0137] The third processing module obtains the strategy loss coefficient based on the digital-to-analog switching loss parameter of the candidate digital-to-analog collaborative control strategy, and obtains the strategy priority coefficient by combining the strategy matching coefficient and the strategy loss coefficient.

[0138] Output module: Outputs the target digital-analog collaborative control strategy based on the strategy priority coefficient and the candidate digital-analog collaborative control strategies.

[0139] The device embodiments described above are merely illustrative. The units described as separate components may or may not be physically separate. The components shown as units may or may not be physical units; that is, they may be located in one place or distributed across multiple network units. Some or all of the modules can be selected to achieve the purpose of this embodiment according to actual needs. Those skilled in the art can understand and implement this without any creative effort.

[0140] Through the above description of the embodiments, those skilled in the art can clearly understand that each embodiment can be implemented by means of software plus necessary general-purpose hardware platforms, and of course, it can also be implemented by hardware. Based on this understanding, the above technical solutions, in essence or the part that contributes to the prior art, can be embodied in the form of a software product. This computer software product can be stored in a computer-readable storage medium, such as ROM / RAM, magnetic disk, optical disk, etc., and includes several instructions to cause a computer device (which may be a personal computer, server, or network device, etc.) to execute the methods described in the various embodiments or some parts of the embodiments.

[0141] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention, and not to limit them; although the present invention has been described in detail with reference to the foregoing embodiments, those skilled in the art should understand that modifications can still be made to the technical solutions described in the foregoing embodiments, or equivalent substitutions can be made to some of the technical features; and these modifications or substitutions do not cause the essence of the corresponding technical solutions to deviate from the spirit and scope of the technical solutions of the embodiments of the present invention.

Claims

1. A control method for a hybrid analog-digital control multi-loop LDO system, characterized in that, The method includes the following steps: By matching the voltage fluctuation range, load switching parameters, and loop topology information, the candidate digital-analog collaborative control strategy and collaborative adjustment resolution are obtained. The loop coordinated adjustment duration of the candidate analog-digital coordinated control strategy is obtained based on the coordinated adjustment resolution and the loop steady-state convergence rate; the candidate loop coordinated adjustment period corresponding to the candidate analog-digital coordinated control strategy is obtained based on the start-up time and the loop coordinated adjustment duration. The coordinated operation parameters are obtained by analyzing each sub-loop of the multi-loop LDO within the coordinated adjustment cycle of the candidate loop; specifically, the following steps are included: Obtain the cooperative characteristic parameters and cooperative weight coefficients of each sub-loop of the multi-loop LDO within the cooperative adjustment cycle of the candidate loop; The loop coordination efficiency and weighted coupling index of the candidate analog-digital cooperative control strategy are obtained based on the cooperative characteristic parameters and cooperative weight coefficients; specifically, the following steps are included: The weighted matching degree is obtained based on the loop coupling ratio, the numerical-to-analog matching degree, and the collaborative weight coefficient of the collaborative feature parameters; The weighted coupling index is obtained based on the loop coupling ratio, transient overshoot, standard overshoot-free output value, and cooperative weighting coefficient. The loop coordination efficiency is obtained by comparing the weighted matching degree and the weighted coupling index with the preset matching degree range. The loop detuning probability is determined based on the weighted coupling index, and the cooperative operation parameters are obtained based on the loop detuning probability and the loop cooperative efficiency. The target coordinated adjustment period is obtained by filtering based on historical data, and the period matching coefficient between the candidate loop coordinated adjustment period and the target coordinated adjustment period is calculated; specifically, the following steps are included: Extract historical data on historical collaborative adjustment cycles, number of cycles activated, and cycle activation frequency; Set a first requirement assessment rule, which includes an activation count condition and an activation frequency condition; Based on the first demand assessment rule, the number of times and frequency of activation of historical coordinated adjustment cycles are evaluated, and historical coordinated adjustment cycles that meet the conditions are marked as target coordinated adjustment cycles. The cycle weight value is obtained based on the number of cycles activated and the cycle activation frequency of the target coordinated adjustment cycle; The candidate loop coordinated adjustment period is matched with the target coordinated adjustment period based on the period weight value to obtain the period matching rate; The target matching period is determined based on the period matching rate, and the period matching coefficient is obtained based on the period weight value of the period matching rate and the target matching period. The loop coordination coefficients of the candidate analog-digital collaborative control strategies are obtained by combining the collaborative operation parameters and the cycle matching coefficients. The target analog-digital collaborative control strategy is selected based on historical data, and the strategy matching coefficient between the candidate analog-digital collaborative control strategy and the target analog-digital collaborative control strategy is calculated; specifically, the following steps are included: Historical numerical-analog collaborative control strategies, strategy execution counts, and strategy execution frequencies are extracted from historical data. Set a second requirement assessment rule, which includes a number of runs condition and a run frequency condition; Based on the second requirement assessment rule, the number of times and frequency of strategy operation of historical numerical-analog collaborative control strategies are evaluated, and the historical numerical-analog collaborative control strategies that meet the conditions are marked as target numerical-analog collaborative control strategies. The strategy weight value is obtained based on the number of times the target numerical-analog collaborative control strategy is executed and the frequency of strategy execution. The strategy matching rate is obtained by comparing the candidate analog-digital collaborative control strategy with the target analog-digital collaborative control strategy. The strategy matching coefficient is obtained by combining the strategy weight value with the strategy matching rate. The strategy loss coefficient is obtained based on the digital-to-analog switching loss parameter of the candidate digital-to-analog collaborative control strategy, and the strategy priority coefficient is obtained by combining the strategy matching coefficient and the strategy loss coefficient. The target digital-analog collaborative control strategy is output based on the strategy priority coefficient and the candidate digital-analog collaborative control strategies.

2. The control method for a hybrid analog-digital control multi-loop LDO system according to claim 1, characterized in that, The strategy loss coefficient is obtained based on the analog-to-digital switching loss parameters of the candidate analog-to-digital collaborative control strategy, specifically including the following steps: Obtain the number of digital-to-analog switching times and the dynamic power consumption loss of the loop within the selected loop's collaborative adjustment cycle for the candidate digital-to-analog collaborative control strategy. Set the weights for the number of switching operations and power consumption; The strategy loss coefficient is obtained based on the switching count weight, the number of digital-to-analog switching counts, the power consumption loss weight, and the loop dynamic power consumption loss.

3. The control method for a hybrid analog-digital control multi-loop LDO system according to claim 2, characterized in that, The target digital-analog collaborative control strategy is output based on the strategy priority coefficient and the candidate digital-analog collaborative control strategies, specifically including the following steps: Set the strategy matching weight and strategy cost weight; The strategy priority coefficient is obtained based on the strategy matching weight, the slight matching coefficient, the strategy loss weight, and the strategy loss coefficient. The candidate digital-analog collaborative control strategy corresponding to the maximum strategy priority coefficient is determined as the target digital-analog collaborative control strategy.

4. A hybrid analog-digital control multi-loop LDO system, applied to the control method of the hybrid analog-digital control multi-loop LDO system according to any one of claims 1 to 3, characterized in that, include: Matching module: Matches voltage fluctuation range, load switching parameters and loop topology information to obtain candidate digital-analog collaborative control strategies and collaborative adjustment resolution; The first processing module: obtains the loop collaborative adjustment duration of the candidate analog-digital collaborative control strategy based on the collaborative adjustment resolution and the loop steady-state convergence rate; obtains the candidate loop collaborative adjustment period corresponding to the candidate analog-digital collaborative control strategy based on the start-up time and the loop collaborative adjustment duration; Analysis module: Analyzes each sub-loop of the multi-loop LDO within the coordinated adjustment cycle of the candidate loop to obtain coordinated operation parameters; First calculation module: Based on historical data, the target coordinated adjustment period is obtained by filtering and the period matching coefficient between the candidate loop coordinated adjustment period and the target coordinated adjustment period is calculated; The second processing module combines the cooperative operation parameters and the periodic matching coefficient to obtain the loop cooperative coefficient of the candidate digital-analog cooperative control strategy; The second calculation module: Based on historical data, the target numerical-analog collaborative control strategy is obtained, and the strategy matching coefficient between the candidate numerical-analog collaborative control strategy and the target numerical-analog collaborative control strategy is calculated; The third processing module obtains the strategy loss coefficient based on the digital-to-analog switching loss parameter of the candidate digital-to-analog collaborative control strategy, and obtains the strategy priority coefficient by combining the strategy matching coefficient and the strategy loss coefficient. Output module: Outputs the target digital-analog collaborative control strategy based on the strategy priority coefficient and the candidate digital-analog collaborative control strategies.

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