Dimming power supply control method with configurable initialization bias control
By collecting voltage response data from the dimmer, identifying its electrical characteristics, and generating an initialization bias control strategy, the problem that existing dimming power supply control schemes cannot actively identify the electrical characteristics of the dimmer is solved, achieving high-precision compatible control and personalized dimming response experience.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2025-12-29
- Publication Date
- 2026-04-07
AI Technical Summary
Existing dimming power supply control schemes cannot actively identify the electrical characteristics of external dimmers and lack an adaptive initialization mechanism, resulting in the inability to achieve high-precision compatible control and problems such as inaccurate shutdown determination, flickering, and inconsistent brightness.
By collecting voltage response data from the dimmer, identifying its electrical characteristics, and generating an initial bias control strategy, including a turn-off threshold, bias strength, and bias hold time, the strategy is fused and optimized in conjunction with user-defined control requirements parameters to generate the final control strategy.
It improves the dimmer's recognition capability and the accuracy of its adaptation judgment, avoids the adaptation deviation caused by static configuration, and achieves a higher level of intelligent dimming response experience to meet personalized control needs.
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Figure CN121815491A_ABST
Abstract
Description
Technical Field
[0001] This application relates to the technical field of power management and analog control, and in particular to a dimming power supply control method with configurable initialization bias control. Background Technology
[0002] Currently, 0–10V or 1–10V analog dimming interfaces are widely used in various commercial and industrial lighting control systems. Dimmers typically adjust brightness by changing the voltage value of the control circuit. When the voltage on the control circuit drops below a certain threshold, the dimming power supply will enter a shutdown or minimum brightness output state. However, due to significant differences in output capability, voltage bias, equivalent impedance, and other electrical characteristics among different brands or models of dimmers, it is difficult to determine the actual state of a dimming power supply based on a single voltage threshold.
[0003] Existing dimming power supply control schemes mostly employ a "static sampling + fixed strategy" control logic, which means that dimming control is achieved solely by passively sampling the voltage at the dimming input terminal, combined with a preset shutdown threshold or brightness mapping table. This approach has significant limitations: firstly, it cannot determine whether the dimmer truly possesses zero-volt output capability, leading to inaccurate shutdown determination; secondly, for dimmers with low-end bias or high impedance characteristics, the dimming power supply may misjudge their output state, causing problems such as flickering, false triggering, or inconsistent brightness.
[0004] The existing technical solutions mentioned above have the following drawbacks: the existing dimming power supply control methods cannot actively identify the electrical characteristics of external dimmers, lack an adaptive initialization mechanism, and are difficult to achieve high-precision compatible control of multiple types of dimmers, thus there is room for improvement. Summary of the Invention
[0005] To improve the adaptability of dimming power supplies to different types of dimmers, this application provides a dimming power supply control method with configurable initialization bias control.
[0006] The above-mentioned objective of this application is achieved through the following technical solution: A dimming power supply control method with configurable initialization bias control, the method comprising: Collect voltage response data from the dimmer; Based on the voltage response data, the electrical characteristics of the dimmer are identified, and the electrical characteristic identification result is obtained; An initial control strategy is generated based on the electrical feature recognition results. The initial control strategy includes initial bias strength, bias hold time and turn-off determination threshold. The user-defined control requirement parameters are obtained and combined with the initial control strategy for fusion optimization to generate the final control strategy for the target dimmer.
[0007] By adopting the above technical solution, the actual electrical behavior of the dimmer under controlled current excitation can be obtained by collecting the voltage response data of the dimmer, thus providing an accurate data basis for subsequent electrical characteristic identification. By identifying the electrical characteristics of the dimmer based on the voltage response data, it is possible to determine whether the dimmer has true zero-volt output capability, whether there is low-end bias, and its equivalent output impedance, thereby improving the ability to identify dimmer types and the accuracy of adaptation judgment. By generating an initialization control strategy based on the electrical characteristic identification results, it is possible to dynamically set key parameters such as bias drive, off-level, and hold time, thereby avoiding adaptation deviations caused by static configuration and improving the versatility and accuracy of initial control. By obtaining the user-set control requirement parameters and combining them with the initial control strategy for fusion optimization, personalized control requirements can be met while ensuring system stability and compatibility, thereby achieving a higher level of intelligent dimming response experience.
[0008] In one example, this application can be further configured such that: the acquisition of voltage response data of the dimmer specifically includes: A test current is applied to the dimming control circuit through the dimming input terminal of the dimming power supply. The dimming control circuit is an electrical control path connecting the dimming power supply and the dimmer. During the application of the test current, the voltage change on the dimming control circuit is sampled by the voltage sampling module set in the dimming power supply, and voltage response characteristic data is collected. The voltage response characteristic data includes voltage change amplitude, voltage change rate, voltage steady state value, minimum stable voltage value and corresponding holding time parameter. The voltage response characteristic data is recorded as the voltage response data of the dimmer and then output.
[0009] By adopting the above technical solution, and applying a test current to the dimming control circuit through the dimming input terminal of the dimming power supply, the dimmer's response behavior can be induced under the active control of the system, thereby eliminating the dependence on the predictability of the dimmer's output characteristics and realizing response testing under a unified standard. By sampling the voltage changes on the dimming control circuit, and collecting voltage response characteristic data including voltage change amplitude, voltage change rate, voltage steady state value, minimum stable voltage value, and duration of hold, the transient response and stable output capability of the dimmer can be comprehensively reflected, thus providing high-resolution data support for feature judgment and strategy generation. By recording the voltage response characteristic data as the dimmer's voltage response data for output, a standardized data interface can be provided for the control system, thereby facilitating the decoupled deployment of electrical identification and strategy calculation.
[0010] In one example, this application can be further configured such that: the step of identifying the electrical characteristics of the dimmer based on the voltage response data and obtaining the electrical characteristic identification result specifically includes: Based on the voltage stability value in the voltage response data, it is compared with a preset zero voltage determination threshold to determine whether the dimmer has a true zero-volt output capability and obtain the output identification result. Based on the lowest stable voltage value and the corresponding duration parameter in the voltage response data, it is determined whether the dimmer has a low-end voltage bias characteristic, and the bias identification result is obtained. Based on the correspondence between the voltage change amplitude and the voltage change rate in the voltage response data, the equivalent output impedance range of the dimmer output terminal is estimated, and the equivalent output impedance range identification result is obtained. The output identification results, the bias identification results, and the equivalent output impedance range identification results are summarized to form the electrical characteristic identification results of the dimmer.
[0011] By adopting the above technical solutions, the dimmer's true zero-volt output capability can be determined by comparing the stable voltage value with a preset zero-voltage threshold. This accurately identifies whether the dimmer can enter a fully off state, thereby improving the accuracy and robustness of the off-state logic. By determining whether the dimmer has low-end bias characteristics based on the lowest stable voltage value and its duration, problems such as black screens and flickering caused by misjudgments of off-state in biased dimmers can be effectively avoided, thus improving dimming smoothness and stability. By estimating the equivalent output impedance range based on the correspondence between voltage change amplitude and rate, the dimmer's response capability to input disturbances can be accurately determined, allowing for reasonable configuration of the drive duration and improving the overall system response stability and compatibility. By summarizing the above three identification results to generate the dimmer's electrical characteristic identification results, the key input dataset required for the dimming control strategy can be constructed, thereby achieving a complete closed loop and efficient adaptation of the strategy generation.
[0012] In one example, this application can be further configured such that the generation of the initial control strategy based on the electrical feature identification result specifically includes: Based on the output recognition result in the electrical feature recognition result, the shutdown judgment threshold is determined; Based on the bias identification result in the electrical feature identification result, the initial bias strength is determined; Based on the equivalent output impedance range identification result in the electrical feature identification result, the bias hold time is determined; The initial control strategy is formed by summing the shutdown determination threshold, the initial bias strength, and the bias hold time.
[0013] By adopting the above technical solutions, and by determining the shutdown threshold based on the output identification results, the threshold level can be flexibly set according to whether the dimmer has a true zero-volt output capability, thereby ensuring the effectiveness and reliability of the shutdown operation. By determining the initial bias strength based on the bias identification results, the drive level can be dynamically adjusted for dimmers with voltage bias, thereby eliminating initial deviations and improving startup stability. By determining the bias hold time based on the equivalent output impedance identification results, the drive hold time can be reasonably controlled to ensure that the dimmer stably enters the target state, thereby avoiding frequent switching or flickering caused by insufficient recovery. By summarizing the above three types of parameters into an initial control strategy, a highly adaptable and logically complete control benchmark can be established, thereby improving the system's intelligent adaptation capability to various dimmer environments.
[0014] In one example, this application can be further configured such that: determining the shutdown threshold based on the output recognition result in the electrical feature recognition result specifically includes: When the output identification result indicates that the dimmer has a true zero-volt output capability, the shutdown determination threshold is set to a voltage value within the preset zero-voltage determination threshold range. When the output identification result indicates that the dimmer does not have a true zero-volt output capability, the lowest stable voltage value in the voltage response data is extracted, and the shutdown determination threshold is set to a non-zero voltage value based on the lowest stable voltage value plus a preset voltage margin.
[0015] By adopting the above technical solution, when the dimmer has a true zero-volt output capability, the shutdown judgment threshold is set to a voltage value within the preset zero-voltage judgment threshold range. This ensures that the system triggers the shutdown logic near a precise zero level, thereby avoiding misjudgments caused by premature or delayed shutdown. When the dimmer does not have a true zero-volt output capability, the shutdown judgment threshold is set to a non-zero residual voltage value. This avoids misjudging the lowest output as shutdown, thereby preventing the risk of abnormal brightness or black screen. This mechanism can flexibly adjust the shutdown standard for dimmers with different electrical structures, thereby improving the wide compatibility and fault tolerance of the control system.
[0016] In one example, this application can be further configured such that: determining the initial bias strength based on the bias identification result in the electrical feature identification result specifically includes: When the bias identification result indicates that the dimmer has a low-side voltage bias, the initial bias strength is set based on the lowest stable voltage value in the voltage response data and according to the lowest stable voltage value. When the bias identification result indicates that the dimmer does not have low-side voltage bias characteristics, the initial bias strength is set to the standard initial drive value.
[0017] By adopting the above technical solution, when the dimmer has a low-end voltage bias, the initial bias strength is set based on the lowest stable voltage value, which can provide sufficient driving capability to overcome the bias level and achieve normal dimming output, thereby avoiding inconsistent initial brightness or failure to start due to insufficient bias. When the dimmer does not have a low-end voltage bias characteristic, the standard initial drive value can be used to simplify the control logic and improve the system operating efficiency. This strategy effectively avoids resource waste while ensuring accurate driving, thus balancing accuracy and cost control.
[0018] In one example, this application can be further configured such that: determining the bias hold time based on the equivalent output impedance range identification result in the electrical feature identification result specifically includes: When the equivalent output impedance range identification result indicates that the dimmer has high equivalent output impedance characteristics, the bias hold time is set to the first set duration. When the equivalent output impedance range identification result indicates that the dimmer has low equivalent output impedance characteristics, the bias hold time is set to the second set duration.
[0019] By adopting the above technical solution, setting the bias hold time as the first preset duration when the dimmer has a high equivalent output impedance can extend the drive hold time, ensuring stable establishment of the dimmer output and thus avoiding misjudgment or switching failure due to response delay; by setting the bias hold time as the second preset duration when the dimmer has a low equivalent output impedance, redundant waiting time can be reduced and response efficiency can be improved; this strategy can dynamically adapt the time parameters according to the impedance characteristics, thereby achieving a consistent control experience for different hardware behaviors.
[0020] In one example, this application can be further configured as follows: the acquisition of user-defined control requirement parameters, combined with the initial control strategy for fusion optimization, to generate the final control strategy for the target dimmer, specifically includes: Obtain user-defined control requirement parameters, which include at least one user preference control item, including target brightness output range, safety margin coefficient, dimming response speed level, or energy saving level requirement; The control requirement parameters are fused and optimized with the initial bias strength, bias hold time and turn-off decision threshold in the initial control strategy to obtain the fused and optimized control parameters. The optimized control parameters are combined to generate the final control strategy for the target dimmer.
[0021] By adopting the above technical solutions, and by acquiring user-defined control requirements such as target brightness output, safety margin, response speed, or energy-saving level, user preferences can be introduced as an important input dimension for strategy generation, thereby achieving personalized and engineering-optimized control behavior. By integrating and optimizing user control requirements with initial bias strength, bias hold time, and turn-off judgment threshold, control accuracy and performance can be rebalanced while meeting compatibility requirements, thus adapting to more diverse dimming scenarios. By combining the integrated control parameters to generate the final control strategy, customized, stable, and engineering-feasible dimming solutions can be constructed, thereby enhancing the practical deployment value and user experience of intelligent dimming power supplies.
[0022] In summary, this application includes the following beneficial technical effects: 1. By collecting the voltage response data of the dimmer, we can obtain the actual electrical behavior of the dimmer under controlled current excitation, thus providing an accurate data basis for subsequent electrical characteristic identification; by identifying the electrical characteristics of the dimmer based on the voltage response data, we can determine whether the dimmer has a true zero-volt output capability, whether there is low-end bias, and its equivalent output impedance, thereby improving the ability to identify the type of dimmer and the accuracy of the matching judgment. 2. By generating an initialization control strategy based on electrical feature recognition results, it is possible to dynamically set key parameters such as bias drive, turn-off level, and hold time, thereby avoiding adaptation deviations caused by static configuration and improving the versatility and accuracy of initial control. By acquiring user-defined control requirement parameters and combining them with the initial control strategy for optimization, it is possible to meet personalized control needs while ensuring system stability and compatibility, thereby achieving a higher level of intelligent dimming response experience. Attached Figure Description
[0023] Figure 1 This is an internal schematic block diagram of a dimming power supply control system with configurable initialization bias control according to an embodiment of this application.
[0024] Figure 2 This is a flowchart of a dimming power supply control method with configurable initialization bias control in one embodiment of this application; Figure 3 This is a flowchart illustrating the implementation of step S10 in a dimming power supply control method with configurable initialization bias control according to an embodiment of this application. Figure 4 This is a flowchart illustrating the implementation of step S20 in a dimming power supply control method with configurable initialization bias control according to an embodiment of this application. Figure 5 This is a flowchart illustrating the implementation of step S30 in a dimming power supply control method with configurable initialization bias control according to an embodiment of this application. Detailed Implementation
[0025] The present application will be further described in detail below with reference to the accompanying drawings.
[0026] In one embodiment, such as Figure 1 As shown, this application discloses a dimming power supply control system with configurable initialization bias control. The system includes a dimming control circuit, a voltage sampling module, a microcontroller (MCU), a drive circuit, and a communication interface. The functional modules form a closed-loop control path through signal connection relationships.
[0027] The dimmer is the device that sends dimming signals to the user side. It can be a knob-type, slider-type, or digitally controlled dimming device. Its output is connected to the input of the dimming power supply through the dimming control line. The voltage sampling module is used to collect voltage change data on the dimming control line in real time on the dimming power supply side and transmit the data to the microcontroller for analysis and processing. The microcontroller integrates multiple processing logic modules, including electrical feature recognition logic, initialization strategy generation logic, and fusion optimization logic, which are used to identify the electrical characteristics of the dimmer, construct the initial control strategy, and optimize the strategy according to user needs, respectively. The communication interface is used to receive control requirement parameters such as brightness range, safety factor, and response level set by the user and upload these parameters to the microcontroller through the communication link. Finally, the microcontroller outputs the generated target control strategy and transmits it to the drive circuit to drive the lighting load to perform actual dimming operation.
[0028] In one embodiment, such as Figure 2 As shown, this application discloses a dimming power supply control method with configurable initialization bias control. In this embodiment, the method is used in the microcontroller of the dimming power supply control system provided in the above embodiment as an example for illustration. The dimming power supply control method specifically includes the following steps: S10: Collect voltage response data of the dimmer.
[0029] Specifically, during the preset test phase after the dimming power supply is started, a voltage sampling program is initiated by a control command. The sampling program continuously collects and records the voltage at the dimming input terminal according to a set cycle. During the sampling process, obvious interference points and abnormal abrupt waveforms are automatically eliminated, and data segments that conform to the physical response law are retained as valid response sequences. The voltage response data can be static level values or dynamic response curves, which are suitable for devices with stable output but low-end bias, as well as devices that exhibit overshoot, delay, or nonlinear changes during the response process. The sampling duration can be automatically terminated according to a preset control window or actively terminated by a trigger condition. The sampled voltage response data will serve as the input basis for the subsequent feature recognition module and can be provided to other analysis functions through the cache interface. For example, when the test current is set to 50μA in the experiment for simulated acquisition, it is found that the output of a certain type of dimmer is stably maintained above 0.7V, indicating that it has a strong low-end bias characteristic. The sampling module then records this segment of response as the basis for analysis.
[0030] S20: Identify the electrical characteristics of the dimmer based on the voltage response data to obtain the electrical characteristic identification result.
[0031] Specifically, the acquired voltage sequence is segmented and statistically analyzed, and its rate of change and steady-state identification are performed. By analyzing characteristic indicators such as the maximum rate of decrease, the duration of the stable value, and the difference between the initial and final levels in the voltage sequence, key attribute labels reflecting the dimmer's behavior are extracted, such as whether the stable value is close to 0V, whether there is a significant plateau or a slow-change section, etc. These labels are then classified and judged in combination with an empirical model, and finally, information such as whether the dimmer supports zero-volt output, whether there is voltage bias or response hysteresis is obtained, forming a structured electrical feature identification result. The identification result will be used as a direct input to the control strategy generation logic. For example, if it is observed that the stable voltage is always maintained above 0.9V and the rate of decrease is slow in a single identification operation, the dimmer can be determined to be a high-impedance bias type device, and the electrical feature identification result will record the labels "no zero-volt output capability" and "has voltage bias".
[0032] S30: Generate an initial control strategy based on the electrical feature recognition results. The initial control strategy includes initial bias strength, bias hold time and turn-off decision threshold.
[0033] Specifically, the shutdown judgment level threshold is set based on the output characteristic information in the identification results, the initial drive strength value is set based on the bias-related information, and the suggested hold time value is derived based on the impedance or response hysteresis information. All control parameters are directly derived from the electrical feature identification results. The parameter generation logic is implemented using a preset mapping table or algorithm formula, which makes the strategy generation process stable and adjustable. For example, when the identification results show that the dimmer is a low-bias device with true zero-volt output capability, the shutdown threshold can be set to within 0.2V, the bias strength can be set to a 0.3V drive value, and the hold time can be set to 3s. This type of control strategy can be fully adapted to the corresponding dimmer without user intervention, and has good versatility and portability.
[0034] S40: Obtain the user-defined control requirement parameters, and combine them with the initial control strategy for fusion optimization to generate the final control strategy for the target dimmer.
[0035] Specifically, dimming target-related parameters are received through the user interface or host computer configuration interface. These parameters may include brightness output range, safety voltage margin, response speed level, or energy consumption level preference. Each parameter corresponds to the fine-tuning direction or limiting range of the strategy item. During the fusion optimization process, user requirements and the initial control strategy are combined and calculated through algorithms such as weight superposition, interval constraint, or priority parsing to obtain a set of final control parameters that take into account compatibility and user experience. The final control strategy can be written into the configuration register or control cache for subsequent dimming control execution module to call. For example, when the user sets the brightness response time to be controlled within 2 seconds, the fusion algorithm can automatically reduce the hold time, thereby generating a final control strategy that takes into account both response speed and stability.
[0036] By adopting the above technical solution, the actual electrical behavior of the dimmer under controlled current excitation can be obtained by collecting the voltage response data of the dimmer, thus providing an accurate data basis for subsequent electrical characteristic identification. By identifying the electrical characteristics of the dimmer based on the voltage response data, it is possible to determine whether the dimmer has true zero-volt output capability, whether there is low-end bias, and its equivalent output impedance, thereby improving the ability to identify dimmer types and the accuracy of adaptation judgment. By generating an initialization control strategy based on the electrical characteristic identification results, it is possible to dynamically set key parameters such as bias drive, off-level, and hold time, thereby avoiding adaptation deviations caused by static configuration and improving the versatility and accuracy of initial control. By obtaining the user-set control requirement parameters and combining them with the initial control strategy for fusion optimization, personalized control requirements can be met while ensuring system stability and compatibility, thereby achieving a higher level of intelligent dimming response experience.
[0037] In one embodiment, such as Figure 3As shown, in step S10, the voltage response data of the dimmer is collected, which specifically includes: S11: Apply test current to the dimming control circuit through the dimming input terminal of the dimming power supply. The dimming control circuit is the electrical control path connecting the dimming power supply and the dimmer.
[0038] Specifically, within the preset detection window after the control program starts, an adjustable low-amplitude test current is automatically applied to the dimming input terminal. The test current forms a closed loop with the dimmer through the dimming control circuit, which is used to trigger the response behavior of the dimmer's output voltage. The amplitude of the test current is usually controlled within the microampere range that does not interfere with the normal control logic. For example, in a dimmer adaptation test, when the test current is set to 30μA and the holding time is 200ms, the voltage change trajectory of a typical low-impedance dimmer can be obtained. The control logic automatically completes the signal loading and removal according to the current application period, waveform shape and loop structure. This process can achieve standardized triggering without user intervention.
[0039] S12: During the test current application process, the voltage change on the dimming control circuit is sampled by the voltage sampling module set in the dimming power supply, and voltage response characteristic data is collected. The voltage response characteristic data includes voltage change amplitude, voltage change rate, voltage steady state value, minimum stable voltage value and corresponding duration parameter.
[0040] Specifically, the voltage sampling module initiates a sampling task at a set sampling frequency during the application of the test current, recording the voltage change process on the dimming control circuit in real time. The internal algorithm preprocesses and extracts features from the sampled data. The voltage change amplitude reflects the dimmer's response fluctuations under disturbance conditions, the voltage change rate represents the dimmer's input response speed to current interference, the voltage stability value indicates the stabilization level of the output voltage after the disturbance ends, the minimum stable voltage value is used to determine the bias level, and the corresponding hold time parameter reflects the duration and stability of the output. For example, in the test of a certain type of dimmer, the voltage curve shows that the initial voltage drops from 1.5V to 0.4V, and then remains in the 0.45V±0.05V range for about 2 seconds. This sampling result can be used to describe its response amplitude as 1.1V, rate as 5.5V / s, minimum level as 0.4V, and hold time as 2 seconds. All these parameters constitute the voltage response characteristic data and are used for subsequent judgment logic.
[0041] S13: Record the voltage response characteristic data as the voltage response data of the dimmer and output it.
[0042] Specifically, after sampling, the voltage response characteristic data will be formatted and encoded into structured data units and written into the response data buffer. The output process uses a unified data interface to transmit data to the control strategy generation module. The voltage response data may include a static stable value sequence or a dynamic change process curve. Its format is compatible with subsequent model calls and fusion analysis. For example, the response data automatically output after the test task is completed contains five-dimensional feature values and a complete waveform segment, which serves as a basic electrical behavior description of the dimmer's current state. This data can also be synchronously uploaded to a host computer or external analysis tools for auxiliary evaluation when needed.
[0043] In one embodiment, such as Figure 4 As shown, in step S20, the electrical characteristics of the dimmer are identified based on the voltage response data to obtain the electrical characteristic identification result, which specifically includes: S21: Based on the voltage stability value in the voltage response data, compare it with the preset zero voltage judgment threshold to determine whether the dimmer has a true zero-volt output capability and obtain the output recognition result.
[0044] Specifically, by comparing the stable voltage value in the voltage response data with a preset zero-voltage threshold, if the stable value is lower than the lower limit of the set threshold or within the zero-volt range, the dimmer is considered to have a true zero-volt output capability. Otherwise, it is considered that its output capability has a lower limit or has a residual bias structure. This judgment logic is fine-tuned based on an empirical reference model to adapt to different sampling noise tolerances. For example, if the stable value is less than 0.2V and does not fluctuate within 2s, it can be identified as having a zero-volt output capability. If the stable value fluctuates around 0.5V, it can be determined that it does not have a true zero-volt output capability. This judgment result will be used as the output identification result for subsequent shutdown threshold setting.
[0045] S22: Based on the lowest stable voltage value and the corresponding holding time parameter in the voltage response data, determine whether the dimmer has a low-end voltage bias characteristic and obtain the bias identification result.
[0046] Specifically, by reading the lowest stable voltage value and the time interval during which that value is maintained in the voltage response data, it is determined whether the voltage range significantly higher than 0V is maintained for an extended period. If the lowest value exceeds the bias threshold and is maintained for a certain period of time, it can be determined that there is low-end bias behavior. This type of bias characteristic usually appears in dimmers where the voltage signal has not completely returned to zero but the output has tended to be stable. The software logic improves the accuracy of judgment by cross-judging the duration and the lowest value. For example, when the lowest voltage is 0.7V and is maintained for more than 1.5s, it can be considered that bias exists, while when the lowest voltage only appears briefly or the duration is less than 0.3s, it can be excluded. This judgment helps to set the bias strength in the subsequent control strategy.
[0047] S23: Based on the correspondence between the voltage change amplitude and voltage change rate in the voltage response data, estimate the equivalent output impedance range of the dimmer output terminal and obtain the equivalent output impedance range identification result.
[0048] Specifically, a dynamic impedance estimation model is established by calculating the proportional relationship between the voltage change amplitude and the change rate. If the voltage response exhibits a large voltage change and a fast change rate under a small test current excitation, it can be inferred that the equivalent impedance is low. Conversely, if the voltage response changes slowly and the fluctuation amplitude is limited, it can be inferred that it has high impedance output characteristics. This characteristic reflects the dimmer's sensitivity and stability to input control. For example, in a certain test, when the test current is 50μA, the voltage drop amplitude reaches 1.2V and the response rate is 4.8V / s. The impedance estimation result shows that it is in the low impedance range. If the voltage drops only 0.3V under the same test current and the rate is less than 0.5V / s, it can be determined to be a high impedance device. This identification result will serve as a reference basis for setting the bias hold time.
[0049] In this embodiment, the dynamic impedance estimation model is used to estimate the equivalent output impedance range of the dimmer's output terminal based on the correspondence between the voltage change amplitude and voltage change rate in the voltage response data. This model uses the test current as a known excitation quantity, monitors the voltage response behavior after applying the test current, extracts the voltage change rate and total voltage change amplitude per unit time, calculates the change response ratio between the voltage change rate and the test current, and combines it with a preset response curve mapping relationship or empirical function model to estimate the corresponding impedance level range. The core of the dynamic impedance estimation model lies in constructing a voltage-current response model under nonlinear disturbance conditions. Compared to the traditional Ohm's law estimation method under steady-state conditions, this model can more accurately reflect the transition response characteristics of the dimmer in the edge voltage range, and is particularly suitable for handling dimmer scenarios with delayed response or nonlinear amplification characteristics. For example, in a test, after applying a 50μA test current, the voltage slowly drops from 2.0V to 1.5V, the drop lasts for 4 seconds and the average rate is less than 0.2V / s, then the output impedance of the dimmer can be estimated to be higher than 1kΩ; while if the voltage drops instantaneously by 1.2V under the same test conditions and the rate exceeds 6V / s, then the impedance can be estimated to be lower than 100Ω. This model supports graded output of "high impedance", "medium impedance" and "low impedance" classification results, which facilitates parameter matching and hold time setting in subsequent strategy modules.
[0050] S24: Summarize the output identification results, bias identification results, and equivalent output impedance range identification results to form the electrical characteristic identification results of the dimmer.
[0051] Specifically, the obtained output identification results, bias identification results, and equivalent output impedance range identification results are numbered, categorized, and encapsulated into a structured data structure. The integration module is then called to complete the unified output of the electrical feature identification results. The output identification results describe whether the dimmer supports zero-voltage shutdown, the bias identification results indicate whether it has bias behavior, and the impedance identification results indicate the response structure type. This combined result will serve as the input standard parameter set for the subsequent strategy generation module. For example, if a set of comprehensive identification results is "possesses true zero-volt capability," "exists bias," and "is high impedance," then the control strategy will use high drive strength and long hold time to deal with this type of dimmer, thereby achieving intelligent adaptation and personalized strategy adjustment.
[0052] In one embodiment, such as Figure 5 As shown, in step S30, the initial control strategy is generated based on the electrical feature recognition results, which specifically includes: S31: Determine the shutdown threshold based on the output recognition result in the electrical feature recognition result.
[0053] Specifically, based on the minimum output capability level of the dimmer reflected in the output recognition result, the parameter mapping module is called to extract the corresponding preset range of the off-voltage. Combining the minimum voltage value and response curve shape collected in the actual test, a suitable lower voltage limit is calculated as the off-voltage judgment threshold. During the calculation process, it can be compared with similar dimmer files in the historical recognition database. If the current dimmer output response shows a rapid drop to near zero volts and remains stable, the threshold can be set in a level range below 0.3V to improve the recognition sensitivity. If the minimum response of the dimmer remains above 0.7V for a long time, the threshold is set between 0.8V and 1.0V to ensure that the off-voltage judgment is not affected by residual bias. This threshold is used to guide the automatic recognition and judgment of whether the dimmer has performed the off-voltage state in the subsequent operation stage.
[0054] S32: Determine the initial bias strength based on the bias identification result in the electrical feature identification result.
[0055] Specifically, the low-end response offset amplitude and maintenance characteristics contained in the bias identification results are analyzed. This characteristic parameter is compared with the preset bias correction table to extract the initial drive level that can effectively overcome the voltage lag effect as the initial bias strength. If a stable plateau with a continuous deviation from zero volts in the low-end output is detected, the software will use a certain safety margin to float the voltage of this plateau as the bias drive start value to ensure that the startup process can cross the dead zone and enter the normal dimming range. For example, when the bias stability segment is 0.6V, the initial bias strength can be set to 0.8V to establish sufficient control capability. If no obvious bias behavior is found in the identification results, the initial bias strength will fall back to the standard default value such as 0.2V to reduce power consumption and response delay. The parameter output is used for the initial bias level injection in the dimming control guidance stage.
[0056] S33: Determine the bias hold time based on the equivalent output impedance range identification result in the electrical feature identification result.
[0057] Specifically, based on the output response delay level indicated by the equivalent output impedance identification result, the corresponding bias hold time range parameter is selected. The minimum hold time window is calculated through the impedance-response time mapping function to ensure that the initial bias level is not removed before the dimmer response is established. If the identification result indicates that the high impedance level leads to significant response hysteresis, the hold time is increased to, for example, more than 10 seconds to ensure that the response after startup is not misjudged as abnormal. If the identification result indicates low impedance and fast response characteristics, the hold time is shortened to, for example, less than 3 seconds to improve the overall dimming efficiency. The hold time will trigger a countdown behavior in the startup logic to control the bias release rhythm and ensure that the dimmer enters the automatic control segment in the most suitable state.
[0058] S34:
[0059] Specifically, the previously determined turn-off threshold, initial bias strength, and bias hold time are packaged into a structured parameter set and passed to the initialization control strategy generation module through the parameter fusion interface to form an initial control strategy file with a complete logical chain. The strategy file includes parameter field definitions, corresponding execution conditions, and failure protection measures. After loading, it can be directly applied to the power-on startup stage of the dimming power supply to guide the front-end signal scheduling module to perform bias application, level hold, and turn-off judgment in stages. For example, in actual deployment, a certain model strategy includes: bias strength 0.75V, hold time 10s, and turn-off threshold 0.3V. After combination, it can accurately adapt to the initial control characteristics of this model of dimmer and is compatible with the dynamic response change trend of the dimmer.
[0060] In one embodiment, step S31, namely determining the shutdown judgment threshold based on the output recognition result in the electrical feature recognition result, specifically includes: S311: When the output identification result indicates that the dimmer has a true zero-volt output capability, the shutdown judgment threshold is set to a voltage value within the preset zero-voltage judgment threshold range.
[0061] Specifically, when the output recognition result determines that the dimmer can achieve a stable output voltage close to zero volts under extremely low drive conditions, the low-level range judgment logic is executed. The judgment voltage value located in the middle or near the lower boundary of the preset zero voltage judgment threshold range is selected as the shutdown threshold reference. For example, if the preset zero voltage judgment threshold range is 0V~0.3V, and the stable state voltage is 0.05V and is maintained for more than the set time, the shutdown judgment threshold is set to a value between 0.1V and 0.15V to ensure judgment sensitivity and fault tolerance. This threshold is used as the trigger reference point for identifying whether the dimmer has entered the off state in the subsequent operation phase. By keeping the shutdown threshold aligned with the output capability, misjudgment and dimming interference can be avoided, thereby improving the accuracy and stability of the control strategy.
[0062] S312: When the output identification result indicates that the dimmer does not have a true zero-volt output capability, extract the lowest stable voltage value from the voltage response data and set the shutdown judgment threshold to a non-zero voltage value based on the lowest stable voltage value plus a preset voltage margin.
[0063] Specifically, when the output identification result determines that the dimmer cannot achieve true zero-volt output in the lowest dimming range and there is a certain amount of residual voltage stabilization output, an offset tolerance is set according to the actual residual voltage stabilization range, and the voltage value after the offset is used as the shutdown judgment threshold. For example, when the output fluctuates around 0.7V for a long time, the shutdown threshold can be set at a non-zero level between 0.8V and 0.9V to achieve effective shutdown judgment. The setting of this non-zero threshold avoids misjudging the residual voltage as a control signal, thereby avoiding the shutdown command being delayed or not triggered. This helps to adapt to dimmer types that do not support fully low voltage output, and at the same time provides a larger operating window for the coordinated control of subsequent bias strategies.
[0064] In one embodiment, step S32, namely determining the initial bias strength based on the bias identification result in the electrical feature identification result, specifically includes: S321: When the bias identification result indicates that the dimmer has a low-side voltage bias, the initial bias strength is set based on the lowest stable voltage value in the voltage response data.
[0065] Specifically, when it is identified that the dimmer's response after applying a test current fails to reach a minimum stable voltage output value of zero volts, the initial bias strength is set based on the obtained minimum stable voltage value. That is, the minimum stable voltage value is used as the minimum compensation voltage reference for the initial startup phase of the dimming power supply. At the same time, considering the response accuracy and tolerance range of the power supply, the initial bias strength is adjusted upward by a certain amount to ensure that the dimming signal can effectively offset the inherent low-end bias characteristics of the dimmer and achieve linear brightness start control. For example, when the minimum stable voltage is detected to be 0.8V, the initial bias strength can be set between 0.85V and 0.9V, so that the subsequent control phase uses this as the bias starting point to dynamically output a more adaptable dimming signal, thereby improving the compatibility and stability during the startup process.
[0066] S322: When the bias identification result indicates that the dimmer does not have low-side voltage bias characteristics, the initial bias strength is set to the standard initial drive value.
[0067] Specifically, when it is identified that the dimmer has a true zero-volt output capability or its lowest stable output voltage is close to the zero-voltage judgment threshold, and the corresponding hold time parameter is displayed as short-term or transient convergence, the execution logic directly sets the initial bias strength according to the preset standard initial drive value without bias conditions in the standard control library. For example, the initial drive level is set to 0V, 0.1V or other default starting voltage values, and this standard initial drive value is used as the reference point for starting output control when the dimming power supply is powered on and initialized. This avoids unnecessary over-driving or bias compensation, ensures the accuracy and response consistency of subsequent control signals, and takes into account the flexible adaptation to response speed level and brightness start curve.
[0068] In one embodiment, step S33, namely, determining the bias hold time based on the equivalent output impedance range identification result in the electrical feature identification result, specifically includes: S331: When the equivalent output impedance range identification result indicates that the dimmer has high equivalent output impedance characteristics, the bias hold time is set to the first set duration.
[0069] Specifically, when the dynamic impedance estimation model constructed based on the voltage response data determines that the equivalent output impedance of the dimmer output is in the high impedance range, the execution logic identifies such devices as objects with significant response lag and large control signal charging and discharging time constants. Therefore, it is necessary to extend the duration of the initial bias signal to ensure that the dimmer circuit can fully receive and establish a following response to the initial level within the stable time window, thereby avoiding brightness jumps or dimming curve instability caused by premature bias release. At this time, the bias holding time is set to the first set duration, such as a preset of 10 seconds or longer. During this holding time, the initial bias level is kept constant, so that the output voltage gradually reaches a stable state. This is suitable for dimmer products with high input impedance or using RC slow response structures.
[0070] S332: When the equivalent output impedance range identification result indicates that the dimmer has low equivalent output impedance characteristics, the bias hold time is set to the second set duration.
[0071] Specifically, when the equivalent output impedance identification logic indicates that the dimmer has a fast response capability to changes in input voltage, that is, its output terminal exhibits low impedance characteristics, it means that its internal follower circuit can complete the establishment of a stable state in a short time. At this time, the execution logic selects a shorter bias hold time based on the identification result to avoid the introduction of control delay or increased power consumption due to excessive bias hold. The bias hold time is usually set to the second set duration, such as 3 seconds, to ensure that the bias level application time can meet the signal establishment requirements without hindering the subsequent normal dimming control. This is suitable for dimmer types that use active buffer or high-speed response circuits.
[0072] In one embodiment, step S40 involves acquiring user-defined control requirement parameters and combining them with the initial control strategy for optimization to generate the final control strategy for the target dimmer, specifically including: S41: Obtain the user-defined control requirement parameters, which include at least one user-preferred control item, including the target brightness output range, safety margin coefficient, dimming response speed level, or energy-saving level requirement.
[0073] Specifically, the dimming control requirements parameters set by the user or the upper-level control system are read through the user interface module. Each parameter is stored in a structured manner and supports multi-level weight settings. The target brightness output range is used to determine the upper and lower boundaries of the dimming linear range, the safety margin coefficient is used to limit the initial bias intensity and response critical point, the dimming response speed level is used to select a faster or smoother dimming response curve type, and the energy saving level requirement is used to limit the power consumption upper limit in the overall dimming behavior. All user preference control items can exist simultaneously and can be set in a priority order. For example, in public lighting scenarios, the energy saving level requirement can be met first and the dimming response speed level can be appropriately reduced, while in stage lighting control scenarios, the dimming response level can be increased to meet the visual response smoothness.
[0074] S42: The control requirement parameters are fused and optimized with the initial bias strength, bias hold time and turn-off decision threshold in the initial control strategy to obtain the fused and optimized control parameters.
[0075] Specifically, the multi-parameter weighted calculation module performs parameter hierarchical mapping and conflict mediation between the user-defined control requirement parameters and the aforementioned initial control strategy. The multi-source fusion strategy can be executed using linear weighting, nonlinear limiting, or conditional coverage methods. For example, when the user-specified brightness output range conflicts with the initial bias intensity, the control logic prioritizes ensuring the brightness coverage range and corrects the bias intensity parameter within an acceptable offset range. At the same time, it adjusts the upper and lower boundaries of the shutdown judgment threshold with reference to the user-defined safety margin coefficient to avoid premature or delayed shutdown. If the energy-saving level requirement limits the upper limit of dimming power consumption, the fusion logic will introduce an energy consumption estimation model in the bias hold time calculation to adjust the parameters. The fusion result outputs a set of final control parameters that can be directly used for dimming control, possessing the triple optimization characteristics of target orientation, user matching, and device compatibility.
[0076] S43: Combine the optimized control parameters to generate the final control strategy for the target dimmer.
[0077] Specifically, after the fusion optimization parameter set is determined, the parameters are structurally combined according to the functional logic order to form a complete set of control instructions including an initialization bias segment, a smooth dimming segment, and a termination decision segment. This control strategy includes all parameter boundaries, behavior rules, and dynamic response standards used to drive the target dimmer to perform dimming behavior. The output format is a set of configuration commands that can be directly parsed and executed by the dimmer's main control chip. Finally, the control strategy supports the intelligent perception and dynamic adaptation of dimming devices to multi-dimensional inputs, realizing adaptive and configurable initialization bias control targets for different types of dimmers. For example, on some resistive load dimmers, the strategy will prioritize bias delay to ensure turn-off stability, while on some digital interface dimmers, the strategy will prioritize response speed and energy-saving mode to adapt to fast actions.
[0078] It should be understood that the sequence number of each step in the above embodiments does not imply the order of execution. The execution order of each process should be determined by its function and internal logic, and should not constitute any limitation on the implementation process of the embodiments of this application.
[0079] The above-described embodiments are only used to illustrate the technical solutions of this application, and are not intended to limit them. Although this application 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. Such 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 this application, and should all be included within the protection scope of this application.
Claims
1. A dimming power supply control method with configurable initialization bias control, characterized in that, The dimming power supply control method with configurable initialization bias control includes: Collect voltage response data from the dimmer; Based on the voltage response data, the electrical characteristics of the dimmer are identified, and the electrical characteristic identification result is obtained; An initial control strategy is generated based on the electrical feature recognition results. The initial control strategy includes initial bias strength, bias hold time and turn-off determination threshold. The user-defined control requirement parameters are obtained and combined with the initial control strategy for fusion optimization to generate the final control strategy for the target dimmer.
2. The dimming power supply control method with configurable initialization bias control according to claim 1, characterized in that, The voltage response data of the dimmer is specifically collected, including: A test current is applied to the dimming control circuit through the dimming input terminal of the dimming power supply. The dimming control circuit is an electrical control path connecting the dimming power supply and the dimmer. During the application of the test current, the voltage change on the dimming control circuit is sampled by the voltage sampling module set in the dimming power supply, and voltage response characteristic data is collected. The voltage response characteristic data includes voltage change amplitude, voltage change rate, voltage steady state value, minimum stable voltage value and corresponding holding time parameter. The voltage response characteristic data is recorded as the voltage response data of the dimmer and then output.
3. A dimming power supply control method with configurable initialization bias control according to claim 2, characterized in that, The step of identifying the electrical characteristics of the dimmer based on the voltage response data and obtaining the electrical characteristic identification result specifically includes: Based on the voltage stability value in the voltage response data, it is compared with a preset zero voltage determination threshold to determine whether the dimmer has a true zero-volt output capability and obtain the output identification result. Based on the lowest stable voltage value and the corresponding duration parameter in the voltage response data, it is determined whether the dimmer has a low-end voltage bias characteristic, and the bias identification result is obtained. Based on the correspondence between the voltage change amplitude and the voltage change rate in the voltage response data, the equivalent output impedance range of the dimmer output terminal is estimated, and the equivalent output impedance range identification result is obtained. The output identification results, the bias identification results, and the equivalent output impedance range identification results are summarized to form the electrical characteristic identification results of the dimmer.
4. A dimming power supply control method with configurable initialization bias control according to claim 3, characterized in that, The generation of the initial control strategy based on the electrical feature recognition results specifically includes: Based on the output recognition result in the electrical feature recognition result, the shutdown judgment threshold is determined; Based on the bias identification result in the electrical feature identification result, the initial bias strength is determined; Based on the equivalent output impedance range identification result in the electrical feature identification result, the bias hold time is determined; The initial control strategy is formed by summing the shutdown determination threshold, the initial bias strength, and the bias hold time.
5. A dimming power supply control method with configurable initialization bias control according to claim 4, characterized in that, The step of determining the shutdown threshold based on the output recognition result in the electrical feature recognition result specifically includes: When the output identification result indicates that the dimmer has a true zero-volt output capability, the shutdown determination threshold is set to a voltage value within the preset zero-voltage determination threshold range. When the output identification result indicates that the dimmer does not have a true zero-volt output capability, the lowest stable voltage value in the voltage response data is extracted, and the shutdown determination threshold is set to a non-zero voltage value based on the lowest stable voltage value plus a preset voltage margin.
6. A dimming power supply control method with configurable initialization bias control according to claim 4, characterized in that, The determination of the initial bias strength based on the bias identification result in the electrical feature identification result specifically includes: When the bias identification result indicates that the dimmer has a low-side voltage bias, the initial bias strength is set based on the lowest stable voltage value in the voltage response data and according to the lowest stable voltage value. When the bias identification result indicates that the dimmer does not have low-side voltage bias characteristics, the initial bias strength is set to the standard initial drive value.
7. A dimming power supply control method with configurable initialization bias control according to claim 4, characterized in that, The determination of the bias hold time based on the equivalent output impedance range identification result in the electrical feature identification result specifically includes: When the equivalent output impedance range identification result indicates that the dimmer has high equivalent output impedance characteristics, the bias hold time is set to the first set duration. When the equivalent output impedance range identification result indicates that the dimmer has low equivalent output impedance characteristics, the bias hold time is set to the second set duration.
8. A dimming power supply control method with configurable initialization bias control according to claim 1, characterized in that, The process of acquiring user-defined control requirement parameters and combining them with the initial control strategy to perform fusion optimization and generate the final control strategy for the target dimmer specifically includes: Obtain user-defined control requirement parameters, which include at least one user preference control item, including target brightness output range, safety margin coefficient, dimming response speed level, or energy saving level requirement; The control requirement parameters are fused and optimized with the initial bias strength, bias hold time and turn-off decision threshold in the initial control strategy to obtain the fused and optimized control parameters. The optimized control parameters are combined to generate the final control strategy for the target dimmer.