Intelligent atomization control method and system for atomizer

Abstract

The invention relates to the technical field of atomizer control, in particular to an intelligent atomization control method and system for an atomizer, and the method comprises the steps: obtaining parameters of an equivalent model of a piezoelectric transducer; analyzing parameter fluctuation characteristics of the piezoelectric transducer under different external conditions according to parameters of the equivalent model; constructing an overall equivalent circuit of the atomizer, wherein the overall equivalent circuit comprises an LC filter and a piezoelectric transducer at the output end of an inverter; applying one or more pulse voltages to the overall equivalent circuit to trigger a transient phenomenon, measuring a transient current in the circuit, and determining the overall resonant frequency; based on the nonlinear correlation between the whole resonant frequency and the mechanical resonant frequency of the piezoelectric transducer, fitting related data by using a curve fitting algorithm; and according to the result of the curve fitting algorithm, calculating and tracking the mechanical resonant frequency of the piezoelectric transducer, and applying the tracked mechanical resonant frequency to the atomization system. The problems of slow tracking and low efficiency caused by fluctuation of the resonant frequency of the piezoelectric transducer in an existing atomization system due to external conditions can be solved.

Description

Technical Field

[0001] This invention relates to the field of atomizer control technology, and in particular to an intelligent atomization control method and system for atomizers. Background Technology

[0002] Nebulization systems are widely used in medical nebulization, humidification, and fine spraying. They convert electrical energy into mechanical vibrations using piezoelectric transducers, thereby transforming liquids into fine droplets. However, in actual operation, the resonant frequency of the piezoelectric transducer in existing nebulization systems fluctuates due to changes in external conditions such as liquid load, pressure, temperature, and operating status, causing nonlinear changes in impedance model parameters (such as dynamic resistance, inductance, and capacitance). This reduces nebulization efficiency, results in insufficient energy conversion, uneven droplet size, and even shortens the lifespan of the piezoelectric transducer. Traditional methods, such as phase-locked loops (PLLs), can perform frequency tracking, but their long response times (tens to hundreds of milliseconds) make it difficult to adapt to rapid parameter changes during nebulization. Furthermore, they neglect the effects of parallel capacitors and matching circuits, failing to achieve maximum mechanical output transmission. This can lead to nebulization instability or energy waste, especially in medical nebulization systems with short-intermittent operation. Summary of the Invention

[0003] In view of the above technical problems, the present invention provides an intelligent atomization control method and system for atomizers to solve the problems of slow tracking and low efficiency caused by fluctuations in the resonant frequency of piezoelectric transducers in existing atomization systems due to external conditions.

[0004] Other features and advantages of this disclosure will become apparent from the following detailed description, or may be learned in part from practice of this disclosure.

[0005] According to one aspect of the present invention, a smart atomization control method for an atomizer is proposed, the method comprising: Obtain the parameters of the equivalent model of the piezoelectric transducer, wherein the equivalent model includes the parallel capacitor in the electrical part and the dynamic resistance, dynamic inductance and dynamic capacitance in the mechanical part; Based on the parameters of the equivalent model, the parameter fluctuation characteristics of the piezoelectric transducer under different external conditions are analyzed, wherein the external conditions include pressure changes. The average value is obtained by repeated measurements to determine the fluctuation range of the dynamic resistance, the dynamic inductance, the dynamic capacitance, and the parallel capacitance. Construct an overall equivalent circuit for the atomizer, including an LC filter at the inverter output and the piezoelectric transducer, wherein the ratio of the value of the filter capacitor of the LC filter to the value of the parallel capacitor of the piezoelectric transducer is greater than a threshold, so that the overall equivalent circuit is separated into the RLC series circuit impedance and the LC filter impedance that affect the mechanical output. One or more pulse voltages are applied to the overall equivalent circuit to induce transient phenomena. The transient current in the circuit is measured, and the entire resonant frequency is determined by detecting the zero-point period of the transient current. The transient phenomena exhibit underdamped response characteristics. Based on the nonlinear correlation between the entire resonant frequency and the mechanical resonant frequency of the piezoelectric transducer, the nonlinear correlation is obtained by analyzing the relevant data of the entire resonant frequency and the mechanical resonant frequency when the parameters of the piezoelectric transducer change under different external conditions. In the analysis, a curve fitting algorithm is used to fit the relevant data, wherein the curve fitting algorithm takes the entire resonant frequency as input as the independent variable and outputs the mechanical resonant frequency of the piezoelectric transducer as the dependent variable. Based on the results of the curve fitting algorithm, the mechanical resonant frequency of the piezoelectric transducer is calculated and tracked, and the tracked mechanical resonant frequency is applied to the atomization system to achieve maximum power transmission and maintain stable output.

[0006] Furthermore, when analyzing the parameter fluctuation characteristics of the piezoelectric transducer under different external conditions, the specific steps include: measuring and recording the values ​​of the dynamic resistance, the dynamic inductance, the dynamic capacitance, and the parallel capacitance by applying different pressure levels, and calculating the rate of change of the parallel capacitance relative to other parameters to infer the influence of the parallel capacitance on the resonant frequency.

[0007] Furthermore, the filter capacitor of the LC filter is designed to be at least 10 times the parallel capacitance value of the piezoelectric transducer, so that the combined capacitance of the overall equivalent circuit is dominated by the filter capacitor, thereby ensuring that the resonant frequency fluctuation of the overall equivalent circuit is minimized.

[0008] Furthermore, when detecting the zero-point period of the transient current, the specific steps include: configuring a zero-point detection circuit to capture the current polarity change in real time, and calculating the time interval between adjacent zero points as the period, thereby deriving the entire resonant frequency.

[0009] Furthermore, the response characteristics of the transient phenomenon are obtained by S-plane analysis of the dominant poles and insignificant poles, wherein the real part of the dominant poles is at least 5 times the real part of the insignificant poles to confirm the underdamped response.

[0010] Furthermore, when calculating and tracking the mechanical resonant frequency, the specific steps include: substituting the real-time measured total resonant frequency into the fitting function of the curve fitting algorithm, outputting the mechanical resonant frequency value, and periodically updating it to adapt to changes in external conditions.

[0011] According to a second aspect of this disclosure, an intelligent atomization control system for an atomizer is provided, the system comprising: The parameter acquisition module is used to acquire the parameters of the equivalent model of the piezoelectric transducer, wherein the equivalent model includes the parallel capacitor in the electrical part and the dynamic resistance, dynamic inductance and dynamic capacitance in the mechanical part; based on the parameters of the equivalent model, the parameter fluctuation characteristics of the piezoelectric transducer under different external conditions are analyzed, wherein the external conditions include pressure changes, and the fluctuation range of the dynamic resistance, the dynamic inductance, the dynamic capacitance and the parallel capacitor is determined by obtaining the average value through repeated measurements; An equivalent circuit construction module is used to construct the overall equivalent circuit of the atomizer, including an LC filter at the inverter output and the piezoelectric transducer, wherein the ratio of the value of the filter capacitor of the LC filter to the value of the parallel capacitor of the piezoelectric transducer is greater than a threshold, so that the overall equivalent circuit is separated into the RLC series circuit impedance and the LC filter impedance that affect the mechanical output. The control quantity calculation module is used to apply one or more pulse voltages to the overall equivalent circuit to induce transient phenomena, measure the transient current in the circuit, and determine the entire resonant frequency by detecting the zero-point period of the transient current, wherein the transient phenomenon exhibits underdamped response characteristics; based on the nonlinear correlation between the entire resonant frequency and the mechanical resonant frequency of the piezoelectric transducer, the nonlinear correlation is obtained by analyzing the correlation data of the entire resonant frequency and the mechanical resonant frequency when the parameters of the piezoelectric transducer change under different external conditions. During the analysis, a curve fitting algorithm is used to fit the correlation data, wherein the curve fitting algorithm takes the entire resonant frequency as input as the independent variable and outputs the mechanical resonant frequency of the piezoelectric transducer as the dependent variable; The execution module is used to calculate and track the mechanical resonant frequency of the piezoelectric transducer based on the result of the curve fitting algorithm, and apply the tracked mechanical resonant frequency to the atomization system to achieve maximum power transmission and maintain stable output.

[0012] The technical solution disclosed herein has the following beneficial effects: By utilizing transient characteristics (underdamped response) to detect the entire resonant frequency of the system and combining this with a curve fitting algorithm to derive the mechanical resonant frequency of the piezoelectric transducer, high-precision tracking can be achieved in a short time (milliseconds), avoiding the influence of parallel capacitors and matching circuits. This maximizes the conversion of electrical energy to mechanical energy, improving atomization efficiency, droplet uniformity, and system stability. Simultaneously, this method simplifies circuit configuration, reduces energy loss, and extends the lifespan of the piezoelectric transducer. It is particularly suitable for medical atomization systems with rapidly changing parameters, avoiding problems such as uneven atomization or overheating. Attached Figure Description

[0013] Figure 1 This is a flowchart of an intelligent atomization control method for an atomizer, as described in the embodiments of this specification. Figure 2 This is a schematic diagram of the equivalent model circuit in the embodiments of this specification; Figure 3 This is a schematic diagram of the equivalent circuit in the embodiments of this specification; Figure 4 This is a circuit diagram illustrating the overall system impedance in the embodiments of this specification; Figure 5 This is a structural block diagram of an intelligent atomization control system for an atomizer, as described in an embodiment of this specification. Detailed Implementation

[0014] Example embodiments will now be described more fully with reference to the accompanying drawings. However, example embodiments can be implemented in many forms and should not be construed as limited to the examples set forth herein; rather, these embodiments are provided to make this disclosure more comprehensive and complete, and to fully convey the concept of the example embodiments to those skilled in the art. The described features, structures, or characteristics can be combined in any suitable manner in one or more embodiments. In the following description, numerous specific details are provided to give a full understanding of embodiments of this disclosure. However, those skilled in the art will recognize that the technical solutions of this disclosure can be practiced with one or more of the specific details omitted, or other methods, components, apparatus, steps, etc., can be employed. In other instances, well-known technical solutions are not shown or described in detail to avoid obscuring various aspects of this disclosure.

[0015] Furthermore, the accompanying drawings are merely illustrative of this disclosure. The same reference numerals in the drawings denote the same or similar parts, and therefore repeated descriptions of them will be omitted. Some block diagrams shown in the drawings are functional entities and do not necessarily correspond to physically or logically independent entities. These functional entities may be implemented in software, in one or more hardware modules or integrated circuits, or in different network and / or processor devices and / or microcontroller devices.

[0016] This invention provides an intelligent atomization control method for a product atomizer. (Refer to...) Figure 1 The diagram shown is a flowchart illustrating an intelligent atomization control method for an atomizer according to an embodiment of the present invention. This method can be applied to electronic devices such as personal computers, servers, controllers, and display control boards. The method can be executed by a device, which can be implemented by software and / or hardware. Specifically, the method may include the following steps S101-S106: In step S101, the parameters of the equivalent model of the piezoelectric transducer are obtained, wherein the equivalent model includes the parallel capacitor in the electrical part and the dynamic resistance, dynamic inductance and dynamic capacitance in the mechanical part.

[0017] Among them, the parameters of the equivalent model of the piezoelectric transducer are obtained, such as Figure 2 As shown, the equivalent model includes the parallel capacitor C0 in the electrical part and the dynamic resistance R1, dynamic inductance L1, and dynamic capacitor C1 in the mechanical part. Specifically, the piezoelectric transducer can be expressed as an equivalent model, where the left arm is the electrical part containing the parallel capacitor C0, and the other arm is the mechanical part composed of the dynamic capacitor C1, dynamic inductance L1, and dynamic resistance R1 that directly affect the mechanical output. Through this equivalent model, the piezoelectric transducer has two resonant points, where the resonant frequency of the RLC series circuit of the mechanical arm is expressed as: ; This is the mechanical resonant frequency at which maximum power is transferred to the piezoelectric transducer, while the overall resonant frequency of the piezoelectric transducer, including the parallel capacitor C0, is expressed as: ; That is, the piezoelectric transducer has a resonant frequency and an anti-resonant frequency under the influence of the parallel capacitor C0. Furthermore, the admittance diagram of the piezoelectric transducer shows that, neglecting losses, resistance, and load, it can be expressed as... and However, in actual atomizer systems, due to the influence of loss resistance and load, the condition for maximum power transmission is the maximum mechanical series resonant frequency of the admittance. Therefore, these parameters are obtained to track the mechanical resonant frequency. Crucially, these parameters, including dynamic resistance R1, dynamic inductance L1, dynamic capacitance C1, and parallel capacitance C0, can be checked internally with measuring instruments or determined from calibration values, as piezoelectric elements vary depending on their materials, shape, and configuration.

[0018] In step S102, based on the parameters of the equivalent model, the parameter fluctuation characteristics of the piezoelectric transducer under different external conditions are analyzed, wherein the external conditions include pressure changes. The average value is obtained by repeated measurements to determine the fluctuation range of the dynamic resistance, the dynamic inductance, the dynamic capacitance, and the parallel capacitance.

[0019] When analyzing the parameter fluctuation characteristics of the piezoelectric transducer under different external conditions, the specific steps include: measuring and recording the values ​​of the dynamic resistance, dynamic inductance, dynamic capacitance, and parallel capacitance by applying different pressure levels, and calculating the rate of change of the parallel capacitance relative to other parameters to infer the influence of the parallel capacitance on the resonant frequency.

[0020] Specifically, for a four-layer stacked piezoelectric transducer, its characteristics can be obtained by applying different pressure conditions. These data can be averaged through repeated testing to improve reliability. The results show that the parameters of the piezoelectric transducer fluctuate with pressure changes, thus inferring that the mechanical resonant frequency will continue to fluctuate. In actual operation, the value of the parallel capacitor C0 changes less with pressure compared to other parameters. Therefore, the resonant frequency change caused by the value of the parallel capacitor C0 will be smaller than the resonant frequency change caused by the change in the series RLC value. If the influence of the piezoelectric transducer's parallel capacitor C0 is ignored when designing the LC filter in the inverter output stage of the atomizer system, the resonant frequency fluctuation of the piezoelectric transducer will be even smaller. This allows the overall equivalent model of the atomizer system to be reanalyzed as the RLC series circuit part and the LC filter part affecting the mechanical output of the piezoelectric transducer.

[0021] In step S103, an overall equivalent circuit of the atomizer is constructed, including an LC filter at the inverter output and the piezoelectric transducer, wherein the ratio of the value of the filter capacitor of the LC filter to the value of the parallel capacitor of the piezoelectric transducer is greater than a threshold, so that the overall equivalent circuit is separated into the RLC series circuit impedance and the LC filter impedance that affect the mechanical output.

[0022] As an example, the filter capacitor of the LC filter is designed to be at least 10 times the parallel capacitance value of the piezoelectric transducer, so that the combined capacitance of the overall equivalent circuit is dominated by the filter capacitor, thereby ensuring that the resonant frequency fluctuation of the overall equivalent circuit is minimized.

[0023] Among them, such as Figure 3 As shown, the overall equivalent circuit of the atomizer system is the overall equivalent circuit of the inverter output stage, where L and C in the LC filter are respectively... and Due to the filter capacitor The capacitor C0 of the piezoelectric transducer is connected in parallel, so it can be represented as a single capacitor C2. If the filter... If the value is designed high enough to ignore the effect of the parallel capacitor C0, the impedance of the RLC series circuit and the impedance of the LC filter that affect the mechanical output of the piezoelectric transducer can be separated. This can be achieved through actual test data and when... The result when the value is increased 10 times compared to C0 and balanced with C2 indicates that changes in the parallel capacitance C0 of the piezoelectric transducer have almost no effect on the resonant frequency of the piezoelectric transducer, and that... With the increase of [variable name], this effect will be smaller. To analyze the overall system impedance, each impedance Z1, Z2, Zp is as follows: Figure 4 As shown, L1, The reactance and reactances C1 and C2 are: ,; ; The total Zp impedance of the piezoelectric transducer R1 + L1 + C1 is: ; Exclusion Filter The parallel impedance of Z1 is:

[0024] Including LC filter inductors The overall system impedance Z2 is: ; When the LC filter and When the parameter values ​​and the series RLC parameter values ​​of the piezoelectric transducer are determined, the resonant impedance of the overall system including the LC filter and the piezoelectric transducer can be analyzed. Exemplarily, the filter capacitor of the LC filter is designed to be at least 10 times the parallel capacitance value of the piezoelectric transducer, so that the combined capacitance of the overall equivalent circuit is dominated by the filter capacitor, ensuring that the resonant frequency fluctuation of the overall equivalent circuit is minimized. The data when C0 is 10 times that of the parallel capacitor minimizes the impact of changes in the C0 value on the resonant frequency, thus allowing the filter capacitor to dominate. The control capacitor C2.

[0025] In step S104, one or more pulse voltages are applied to the overall equivalent circuit to induce transient phenomena, the transient current in the circuit is measured, and the entire resonant frequency is determined by detecting the zero-point period of the transient current, wherein the transient phenomenon exhibits underdamped response characteristics. The detection of the zero-point period of the transient current specifically includes: configuring a zero-point detection circuit to capture the change in current polarity in real time, and calculating the time interval between adjacent zero points as the period, thereby deriving the entire resonant frequency.

[0026] The response characteristics of the transient phenomenon are obtained by S-plane analysis of the dominant poles and insignificant poles, wherein the real part of the dominant poles is at least 5 times the real part of the insignificant poles to confirm the underdamped response.

[0027] When a voltage is initially applied to the atomizer system, which includes an LC circuit, a transient phenomenon occurs due to the exchange of magnetic and electrostatic energy between the inductors and capacitors in the circuit. This transient phenomenon can be derived from the characteristic equation representing the inherent characteristics of the actual system. The natural response characteristics are then confirmed by the eigenvalues ​​derived from the characteristic equation. These eigenvalues ​​determine the circuit's response characteristics based on the values ​​of the damping frequency and the resonant frequency. Typically, piezoelectric transducers exhibit an underdamped characteristic because the resonant frequency is greater than the damping frequency. This characteristic is used to track the resonant frequency, which in this case represents the resonant frequency of the entire system. The characteristic equation of the equivalent circuit is: ; Since the characteristic roots of the characteristic equation of the above fourth-order system are complex and difficult to obtain, the response characteristics of the circuit can be analyzed through the s-plane. In the s-plane, the transfer function of the fourth-order system has poles with different real values ​​and frequency characteristics. If the real number a2 of the two poles far from the imaginary axis is 5 to 10 times larger than the real part a1 of the poles closer to the imaginary axis, they can be classified as dominant poles and insignificant poles. Measuring the resonant frequency of an atomizer system by detecting the zero-point period of the current has the advantage of enabling high-speed tracking of the atomizer system's resonant frequency, as only the circuit for detecting the zero point of the current needs to be configured without separate operation.

[0028] Detecting the zero-point period of the transient current specifically includes: configuring a zero-point detection circuit to capture changes in current polarity in real time, and calculating the time interval between adjacent zero points as the period, thereby deriving the entire resonant frequency. Specifically, since the R, L, and C of the piezoelectric transducer configured in the output stage of the atomizer system will exhibit underdamped output characteristics when a pulse voltage is applied, the zero-point period of this output becomes the entire resonant frequency of the system. Measuring the resonant frequency of the atomizer system by detecting the zero point of the current has the advantage of enabling high-speed tracking of the atomizer system's resonant frequency, because only the circuit for detecting the zero point of the current needs to be configured without separate operation.

[0029] In step S105, based on the nonlinear correlation between the entire resonant frequency and the mechanical resonant frequency of the piezoelectric transducer, the nonlinear correlation is obtained by analyzing the correlation data of the entire resonant frequency and the mechanical resonant frequency when the parameters of the piezoelectric transducer change under different external conditions. During the analysis, a curve fitting algorithm is used to fit the correlation data, wherein the curve fitting algorithm takes the entire resonant frequency as input as the independent variable and outputs the mechanical resonant frequency of the piezoelectric transducer as the dependent variable.

[0030] Specifically, the correlation between the overall resonant frequency of the atomizer system and the mechanical resonant frequency of the piezoelectric transducer exhibits nonlinear characteristics. This paper analyzes the correlation based on changes in the external conditions of the piezoelectric transducer. Based on the analysis data and results, a high-speed tracking algorithm is proposed through curve fitting to determine the mechanical resonant frequency at which the piezoelectric transducer generates maximum power. Since the mechanical resonant frequency of the piezoelectric transducer is not linear due to fluctuations in the L1 and C1 parameters, the atomizer system resonant frequency, which is the data obtained from the analysis results, requires an algorithm capable of tracking the nonlinear mechanical resonant frequency of the piezoelectric transducer. This invention proposes curve fitting to track the mechanical resonant frequency of the piezoelectric transducer. The overall equivalent model of the atomizer system can be reanalyzed into an RLC series circuit and an LC filter that affect the mechanical output of the piezoelectric transducer. When the LC filter... and When the parameter values ​​and the series RLC parameter values ​​of the piezoelectric transducer are determined, the resonant impedance of the entire system, including the LC filter and the piezoelectric transducer, can be analyzed.

[0031] In step S106, based on the results of the curve fitting algorithm, the mechanical resonant frequency of the piezoelectric transducer is calculated and tracked, and the tracked mechanical resonant frequency is applied to the atomization system to achieve maximum power transmission and maintain stable output.

[0032] Calculating and tracking the mechanical resonant frequency specifically includes: substituting the real-time measured total resonant frequency into the fitting function of the curve fitting algorithm, outputting the mechanical resonant frequency value, and periodically updating it to adapt to changes in external conditions.

[0033] In this invention, the atomizer system can accurately track the mechanical resonant frequency of the piezoelectric transducer within a short time through curve fitting. The piezoelectric transducer operates at the resonant frequency with minimum impedance to maximize the transfer of electrical energy to mechanical energy. However, the resonant frequency varies during actual operation due to load fluctuations and environmental conditions. Therefore, tracking the resonant frequency quickly is crucial for maintaining stable output in the atomizer system, and rapid resonant frequency tracking is a key factor in the atomizer system used in this invention. The proposed method uses transient phenomena (underdamped response characteristics) occurring in impedance systems (such as atomizer generators) to find the resonant frequency of the entire system and uses this to derive the mechanical resonant frequency of the piezoelectric transducer. To improve the accuracy of the proposed method, the correlation between the resonant frequency of the atomizer system, including LC filters with nonlinear characteristics, and the mechanical resonant frequency of the piezoelectric transducer is analyzed. Based on the analysis results, a method for tracking the mechanical resonant frequency is proposed.

[0034] Based on the same line of thought, such as Figure 5The diagram shown is a structural block diagram of an intelligent atomization control system for an atomizer according to an embodiment of the present invention. The system includes: The parameter acquisition module 201 is used to acquire the parameters of the equivalent model of the piezoelectric transducer, wherein the equivalent model includes the parallel capacitor in the electrical part and the dynamic resistance, dynamic inductance and dynamic capacitance in the mechanical part; based on the parameters of the equivalent model, the parameter fluctuation characteristics of the piezoelectric transducer under different external conditions are analyzed, wherein the external conditions include pressure changes, and the fluctuation range of the dynamic resistance, the dynamic inductance, the dynamic capacitance and the parallel capacitor is determined by obtaining the average value through repeated measurements; Equivalent circuit construction module 202 is used to construct the overall equivalent circuit of the atomizer, including the LC filter at the inverter output and the piezoelectric transducer, wherein the ratio of the value of the filter capacitor of the LC filter to the value of the parallel capacitor of the piezoelectric transducer is greater than a threshold, so that the overall equivalent circuit is separated into the RLC series circuit impedance and the LC filter impedance that affect the mechanical output. The control quantity calculation module 203 is used to apply one or more pulse voltages to the overall equivalent circuit to induce transient phenomena, measure the transient current in the circuit, and determine the entire resonant frequency by detecting the zero-point period of the transient current, wherein the transient phenomenon exhibits underdamped response characteristics; based on the nonlinear correlation between the entire resonant frequency and the mechanical resonant frequency of the piezoelectric transducer, the nonlinear correlation is obtained by analyzing the correlation data of the entire resonant frequency and the mechanical resonant frequency when the parameters of the piezoelectric transducer change under different external conditions. During the analysis, a curve fitting algorithm is used to fit the correlation data, wherein the curve fitting algorithm takes the entire resonant frequency as input as the independent variable and outputs the mechanical resonant frequency of the piezoelectric transducer as the dependent variable; The execution module 204 is used to calculate and track the mechanical resonant frequency of the piezoelectric transducer based on the result of the curve fitting algorithm, and apply the tracked mechanical resonant frequency to the atomization system to achieve maximum power transmission and maintain stable output.

[0035] The specific details of the above system have been described in detail in the method section of the implementation plan. For any undisclosed details, please refer to the implementation plan of the method section, and therefore will not be repeated here.

[0036] This system utilizes transient characteristics (underdamped response) to detect the entire resonant frequency of the system and derives the mechanical resonant frequency of the piezoelectric transducer using a curve fitting algorithm. This enables high-precision tracking within a short time (milliseconds), avoiding the influence of parallel capacitors and matching circuits. This maximizes the conversion of electrical energy to mechanical energy, improving atomization efficiency, droplet uniformity, and system stability. Simultaneously, this method simplifies circuit configuration, reduces energy loss, and extends the lifespan of the piezoelectric transducer. It is particularly suitable for medical atomization systems with rapidly changing parameters, preventing uneven atomization or overheating problems.

[0037] The accompanying drawings are merely illustrative of the processes included in the methods according to exemplary embodiments of this disclosure and are not intended to be limiting. It is readily understood that the processes shown in the drawings do not indicate or limit the temporal order of these processes. Furthermore, it is readily understood that these processes may be executed synchronously or asynchronously, for example, in multiple modules.

[0038] It should be noted that although several modules or units of the system have been mentioned in the detailed description above, this division is not mandatory. In fact, according to exemplary embodiments of this disclosure, the features and functions of two or more modules or units described above can be embodied in one module or unit. Conversely, the features and functions of one module or unit described above can be further divided and embodied by multiple modules or units.

[0039] Other embodiments of this disclosure will readily occur to those skilled in the art upon consideration of the specification and practice of the invention disclosed herein. This application is intended to cover any variations, uses, or adaptations of this disclosure that follow the general principles of this disclosure and include common knowledge or customary techniques in the art not disclosed herein. The specification and embodiments are to be considered exemplary only, and the true scope and spirit of this disclosure are indicated by the claims.

[0040] It should be understood that this disclosure is not limited to the precise structures described above and shown in the accompanying drawings, and various modifications and changes can be made without departing from its scope. The scope of this disclosure is limited only by the appended claims.

Claims

1. A method for intelligent atomization control of an atomizer, characterized in that, The method includes: Obtain the parameters of the equivalent model of the piezoelectric transducer, wherein the equivalent model includes the parallel capacitor in the electrical part and the dynamic resistance, dynamic inductance and dynamic capacitance in the mechanical part; Based on the parameters of the equivalent model, the parameter fluctuation characteristics of the piezoelectric transducer under different external conditions are analyzed, wherein the external conditions include pressure changes. The average value is obtained by repeated measurements to determine the fluctuation range of the dynamic resistance, the dynamic inductance, the dynamic capacitance, and the parallel capacitance. Construct an overall equivalent circuit for the atomizer, including an LC filter at the inverter output and the piezoelectric transducer, wherein the ratio of the value of the filter capacitor of the LC filter to the value of the parallel capacitor of the piezoelectric transducer is greater than a threshold, so that the overall equivalent circuit is separated into the RLC series circuit impedance and the LC filter impedance that affect the mechanical output. One or more pulse voltages are applied to the overall equivalent circuit to induce transient phenomena. The transient current in the circuit is measured, and the entire resonant frequency is determined by detecting the zero-point period of the transient current. The transient phenomena exhibit underdamped response characteristics. Based on the nonlinear correlation between the entire resonant frequency and the mechanical resonant frequency of the piezoelectric transducer, the nonlinear correlation is obtained by analyzing the relevant data of the entire resonant frequency and the mechanical resonant frequency when the parameters of the piezoelectric transducer change under different external conditions. In the analysis, a curve fitting algorithm is used to fit the relevant data, wherein the curve fitting algorithm takes the entire resonant frequency as input as the independent variable and outputs the mechanical resonant frequency of the piezoelectric transducer as the dependent variable. Based on the results of the curve fitting algorithm, the mechanical resonant frequency of the piezoelectric transducer is calculated and tracked, and the tracked mechanical resonant frequency is applied to the atomization system to achieve maximum power transmission and maintain stable output.

2. The intelligent atomization control method for an atomizer according to claim 1, characterized in that, When analyzing the parameter fluctuation characteristics of the piezoelectric transducer under different external conditions, the specific steps include: measuring and recording the values ​​of the dynamic resistance, dynamic inductance, dynamic capacitance, and parallel capacitance by applying different pressure levels, and calculating the rate of change of the parallel capacitance relative to other parameters to infer the influence of the parallel capacitance on the resonant frequency.

3. The intelligent atomization control method for an atomizer according to claim 1, characterized in that, The filter capacitor of the LC filter is designed to be at least 10 times the parallel capacitance of the piezoelectric transducer, so that the combined capacitance of the overall equivalent circuit is dominated by the filter capacitor, thereby ensuring that the resonant frequency fluctuation of the overall equivalent circuit is minimized.

4. The intelligent atomization control method for an atomizer according to claim 1, characterized in that, The detection of the zero-point period of the transient current specifically includes: configuring a zero-point detection circuit to capture the change in current polarity in real time, and calculating the time interval between adjacent zero points as the period, thereby deriving the entire resonant frequency.

5. The intelligent atomization control method for an atomizer according to claim 1, characterized in that, The response characteristics of the transient phenomenon are obtained by S-plane analysis of the dominant poles and insignificant poles, wherein the real part of the dominant poles is at least 5 times the real part of the insignificant poles to confirm the underdamped response.

6. The intelligent atomization control method for an atomizer according to claim 1, characterized in that, Calculating and tracking the mechanical resonant frequency specifically includes: substituting the real-time measured total resonant frequency into the fitting function of the curve fitting algorithm, outputting the mechanical resonant frequency value, and periodically updating it to adapt to changes in external conditions.

7. An intelligent atomization control system for an atomizer, the system comprising: The parameter acquisition module is used to acquire the parameters of the equivalent model of the piezoelectric transducer, wherein the equivalent model includes the parallel capacitor in the electrical part and the dynamic resistance, dynamic inductance and dynamic capacitance in the mechanical part; based on the parameters of the equivalent model, the parameter fluctuation characteristics of the piezoelectric transducer under different external conditions are analyzed, wherein the external conditions include pressure changes, and the fluctuation range of the dynamic resistance, the dynamic inductance, the dynamic capacitance and the parallel capacitor is determined by obtaining the average value through repeated measurements; An equivalent circuit construction module is used to construct the overall equivalent circuit of the atomizer, including an LC filter at the inverter output and the piezoelectric transducer, wherein the ratio of the value of the filter capacitor of the LC filter to the value of the parallel capacitor of the piezoelectric transducer is greater than a threshold, so that the overall equivalent circuit is separated into the RLC series circuit impedance and the LC filter impedance that affect the mechanical output. The control quantity calculation module is used to apply one or more pulse voltages to the overall equivalent circuit to induce transient phenomena, measure the transient current in the circuit, and determine the entire resonant frequency by detecting the zero-point period of the transient current, wherein the transient phenomenon exhibits underdamped response characteristics; based on the nonlinear correlation between the entire resonant frequency and the mechanical resonant frequency of the piezoelectric transducer, the nonlinear correlation is obtained by analyzing the correlation data of the entire resonant frequency and the mechanical resonant frequency when the parameters of the piezoelectric transducer change under different external conditions. During the analysis, a curve fitting algorithm is used to fit the correlation data, wherein the curve fitting algorithm takes the entire resonant frequency as input as the independent variable and outputs the mechanical resonant frequency of the piezoelectric transducer as the dependent variable; The execution module is used to calculate and track the mechanical resonant frequency of the piezoelectric transducer based on the result of the curve fitting algorithm, and apply the tracked mechanical resonant frequency to the atomization system to achieve maximum power transmission and maintain stable output.

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