Method, device and system for acquiring optimal matching parameter of ultrasonic transducer

Abstract

The embodiment of the invention discloses a method, a device and a system for acquiring optimal matching parameters of an ultrasonic transducer. The method comprises the following steps: acquiring electrical parameters of a concentrated equivalent circuit of the ultrasonic transducer; according to the electrical parameters, determining a frequency sweeping bandwidth and presetting a list of matching parameters of a static branch; a concentrated phase parameter and a dynamic phase parameter of the dynamic branch are obtained through frequency sweeping; constructing a target curve of target phase change under different frequency points; and constructing a fitting curve of dynamic phase parameter changes under different frequency points, and determining the value of the optimal matching parameter by comparing the overlap ratio of the target curve and the fitting curve or evaluating the central symmetry of the fitting curve by taking a certain frequency in the sweep frequency bandwidth as a center. According to the method, the device and the system for acquiring the optimal matching parameter of the ultrasonic transducer provided by the embodiment of the invention, the matching precision can be improved.

Description

Technical Field

[0001] Embodiments of the present invention relate to ultrasonic technology, and in particular to a method, device, and system for acquiring optimal matching parameters of an ultrasonic transducer. Background Art

[0002] Ultrasonic transducers typically consist of piezoelectric ceramics, horns, and waveguides, and are widely used in ultrasonic welding die heads, ultrasonic cutting hemostats, and phacoemulsification dies. However, ultrasonic transducers often face matching difficulties in practical engineering applications. One reason for this is the nonlinearity of the ultrasonic transducer under low-power and high-power excitation, which prevents static measurement or offline identification data from being directly used as parameters under actual high-power operation. Another factor that cannot be ignored is the parasitic impedance of the ultrasonic transducer's power cable and drive circuit, as well as a certain degree of measurement error in the ultrasonic drive circuit.

[0003] Under normal circumstances, the current and voltage of the generator connected to the ultrasonic transducer electrical signal under identification or frequency sweep are usually at least one order of magnitude smaller than the actual working current or voltage. Therefore, the effect of parasitic parameters under no-load and small excitation can be basically ignored. However, under high-power conditions, parasitic parameters directly affect the matching accuracy of the ultrasonic transducer, thereby leading to consequences such as failure of the frequency tracking algorithm, abnormal amplitude output, abnormal power output, and damage to the ultrasonic transducer. Summary of the Invention

[0004] Embodiments of the present invention provide a method, device, and system for acquiring optimal matching parameters of an ultrasonic transducer to improve matching accuracy.

[0005] In a first aspect, an embodiment of the present invention provides a method for obtaining optimal matching parameters of an ultrasonic transducer, comprising:

[0006] Acquiring electrical parameters of a lumped equivalent circuit of the ultrasonic transducer, where the lumped equivalent circuit includes a static branch and a dynamic branch;

[0007] Determining a frequency sweep bandwidth and presetting a list of matching parameters of the static branch according to the electrical parameters;

[0008] Obtaining, by frequency sweeping, the lumped phase parameters of the lumped equivalent circuit and the dynamic phase parameters of the motional branch corresponding to the matching parameters in the list at each frequency within the frequency sweeping bandwidth;

[0009] Constructing a target curve of target phase change at different frequency points based on the electrical parameters of the dynamic branch or the concentrated phase parameters, wherein the abscissa is the frequency and the ordinate is the target phase;

[0010] Constructing a fitting curve of the dynamic phase parameter change of the dynamic branch at different frequency points based on different matching parameters, wherein the abscissa is the frequency and the ordinate is the dynamic phase parameter;

[0011] The value of the best matching parameter is determined by comparing the degree of overlap between the target curve and the fitting curve; or by evaluating the central symmetry of the fitting curve with a certain frequency within the frequency sweep bandwidth as the center.

[0012] In a second aspect, an embodiment of the present invention provides a device for obtaining optimal matching parameters of an ultrasonic transducer, comprising:

[0013] a first acquisition module, configured to acquire electrical parameters of a lumped equivalent circuit of the ultrasonic transducer, wherein the lumped equivalent circuit includes a static branch and a dynamic branch;

[0014] a second acquisition module, configured to determine a frequency sweep bandwidth according to the electrical parameters and preset a list of matching parameters of the static branch, and obtain, by frequency sweeping, a lumped phase parameter of the lumped equivalent circuit and a dynamic phase parameter of the dynamic branch corresponding to each matching parameter in the list at each frequency within the frequency sweep bandwidth;

[0015] A curve construction module is used to construct a target curve of target phase change at different frequency points based on the electrical parameters of the dynamic branch or the concentrated phase parameter, wherein the abscissa is the frequency and the ordinate is the target phase; and is used to construct a fitting curve of the dynamic phase parameter change of the dynamic branch at different frequency points based on different matching parameters, wherein the abscissa is the frequency and the ordinate is the dynamic phase parameter;

[0016] The comparison module is used to determine the value of the best matching parameter by comparing the overlap between the target curve and the fitting curve; or evaluating the central symmetry of the fitting curve with a certain frequency within the sweep bandwidth as the center.

[0017] In a third aspect, an embodiment of the present invention provides an ultrasonic surgical system, comprising: a surgical generator, an ultrasonic transducer, and an ultrasonic surgical instrument;

[0018] The surgical generator is used to obtain electrical parameters of a lumped equivalent circuit of the ultrasonic transducer, wherein the lumped equivalent circuit includes a static branch and a dynamic branch. A frequency sweep bandwidth is determined according to the electrical parameters and a list of matching parameters of the static branch is preset. The lumped phase parameters of the lumped equivalent circuit and the dynamic phase parameters of the dynamic branch corresponding to each matching parameter in the list at each frequency within the frequency sweep bandwidth are obtained by frequency sweeping. A target curve of target phase changes at different frequency points is constructed based on the electrical parameters of the dynamic branch or the lumped phase parameters, wherein the abscissa is the frequency and the ordinate is the target phase. A fitting curve of the dynamic phase parameter changes of the dynamic branch at different frequency points is constructed based on different matching parameters, wherein the abscissa is the frequency and the ordinate is the dynamic phase parameter. The value of the optimal matching parameter is determined by comparing the degree of overlap between the target curve and the fitting curve or evaluating the central symmetry of the fitting curve with a certain frequency within the frequency sweep bandwidth as the center.

[0019] The surgical generator is also used to output a driving signal to the ultrasonic transducer based on the value of the optimal matching parameter. The ultrasonic transducer converts the driving signal from electrical energy to mechanical energy based on the value of the optimal matching parameter and outputs the mechanical energy to the ultrasonic surgical instrument.

[0020] In a fourth aspect, an embodiment of the present invention provides a computer device comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor implements the steps of the method described in the first aspect when executing the computer program.

[0021] In a fifth aspect, an embodiment of the present invention provides a computer-readable storage medium having a computer program stored thereon, which implements the steps of the method described in the first aspect when executed by a processor.

[0022] The method, device, and system for obtaining the optimal matching parameters of an ultrasonic transducer provided in an embodiment of the present invention obtain the optimal matching parameters by comparing the degree of overlap between a target curve and a fitting curve, or evaluating the central symmetry of the fitting curve with a certain frequency within the swept bandwidth as the center. The target curve and the fitting curve are constructed based on the electrical parameters of the lumped equivalent circuit of the ultrasonic transducer, solving the problem of matching accuracy being affected by parameters measured statically or identified offline, thereby improving matching accuracy. BRIEF DESCRIPTION OF THE DRAWINGS

[0023] Figure 1 This is a flow chart of a method for obtaining optimal matching parameters of an ultrasonic transducer provided in the first embodiment of the present invention;

[0024] Figure 2 is a schematic diagram of a concentrated equivalent circuit model constructed according to the first embodiment of the present invention;

[0025] Figure 3 is a schematic diagram of another concentrated equivalent circuit model constructed according to the first embodiment of the present invention;

[0026] Figure 4 This is a structural block diagram of a device for obtaining optimal matching parameters of an ultrasonic transducer provided in a second embodiment of the present invention. DETAILED DESCRIPTION

[0027] The present invention will be further described in detail below with reference to the accompanying drawings and examples. It will be understood that the specific embodiments described herein are intended only to illustrate the present invention and are not intended to limit the present invention. It should also be noted that, for ease of description, the accompanying drawings only illustrate portions relevant to the present invention, not all structures.

[0028] Example 1

[0029] Figure 1 This is a flow chart of a method for obtaining optimal matching parameters of an ultrasonic transducer provided in a first embodiment of the present invention. This embodiment is applicable to obtaining optimal matching parameters of an ultrasonic transducer. The method can be performed by an apparatus for obtaining optimal matching parameters of an ultrasonic transducer. The apparatus can be implemented in the form of software and / or hardware. The apparatus can be integrated into a surgical generator in an ultrasonic surgical system. The method specifically includes the following steps:

[0030] Step 110: Obtain electrical parameters of a lumped equivalent circuit of the ultrasonic transducer, where the lumped equivalent circuit includes a static branch and a dynamic branch.

[0031] For example, Figure 2 is a schematic diagram of a concentrated equivalent circuit model constructed in Example 1 of the present invention, Figure 3 This is a schematic diagram of another concentrated equivalent circuit model constructed in Example 1 of the present invention. Figure 2 and Figure 3 , the electrical parameters of the lumped equivalent circuit include the static capacitance C s , dynamic capacitance C d , dynamic resistance R d , and dynamic inductance L d , the frequency of the series resonance point F s , the frequency of the parallel resonance point F p , the frequency of the resonance point F r , the frequency of the anti-resonance point F a , the frequency F of the maximum impedance point n , and the frequency F of the minimum impedance point m Among them, the electrical parameters of the dynamic branch include: dynamic capacitance C d , dynamic resistance R d , and dynamic inductance L dIn the above-mentioned lumped equivalent circuit, the equivalent circuit model of the static branch is reconstructed, which means that the electrical parameters of the static branch also need to be reconsidered. In one embodiment, the electrical parameters of the static branch include: static capacitance C s , and the parallel parasitic capacitance C in parallel with the static capacitance x , parallel parasitic inductance L x , and the parallel parasitic resistance R x In another embodiment, the electrical parameters of the static branch include: static capacitance C s , and the series parasitic capacitance C in series with the static capacitance y , series parasitic inductance L y , and the series parasitic resistance R y In another embodiment, the electrical parameters of the static branch include: static capacitance C s , Parallel parasitic capacitance C in parallel with the static capacitance x , parallel parasitic inductance L x , and the parallel parasitic resistance R x , and the series parasitic capacitance C in series with the static capacitor y , series parasitic inductance L y , and the series parasitic resistance R y .

[0032] Step 120: Determine the frequency sweep bandwidth according to the electrical parameters and preset a list of matching parameters for the static branch.

[0033] In some embodiments, the sweep bandwidth can be adjusted based on the frequency F of the series resonance point. s and the frequency F of the parallel resonance point p In other embodiments, the sweep bandwidth can be calculated based on the frequency F of the resonance point. r and the frequency F of the anti-resonance point a In some other embodiments, the sweep bandwidth can be based on the frequency F of the maximum impedance point. n and the frequency F at which the impedance is minimum m The planning method can be autonomous planning by the generator system connected to the ultrasonic transducer electrical signal, or it can be set for the generator system through human-computer interaction.

[0034] In some embodiments, the matching parameter of the static branch is an equivalent capacitance, such as a static capacitance. In other embodiments, the matching parameter of the static branch is not expressed as a static capacitance, but in the form of an equivalent inductance. The list of matching parameters of the static branch can be a list formed by using the matching parameters of the static branch, such as the equivalent capacitance or equivalent inductance of the static branch, as the intermediate values of the matching parameters in the list. The list of preset matching parameters of the static branch includes:

[0035] The equivalent capacitance or equivalent inductance of the static branch is taken as the middle value of each matching parameter in the list;

[0036] The matching parameter with the smallest preset value compared to the middle value is taken as the first matching parameter, and the matching parameter with the largest preset value compared to the middle value is taken as the last matching parameter, and the middle value is taken as the middle matching parameter. Multiple matching parameters are formed with the preset difference between the first matching parameter and the last matching parameter to obtain a list of matching parameters.

[0037] Specifically, refer to Figure 3 The matching parameter MP of the static branch includes the equivalent capacitance or equivalent inductance of the static branch. To ensure the reliability of the list value, the equivalent capacitance or equivalent inductance of the static branch is used as the middle value of each matching parameter in the list. For example, the equivalent capacitance of the static branch, i.e., the static capacitance C s Serves as the middle value among the matching parameters in the list.

[0038] Furthermore, the matching parameters in the list differ from each other by a preset difference from small to large, and the sequence formed by arranging the matching parameters in the list from small to large or from large to small is an arithmetic progression. ; Where m is the matching parameter MP q The number of MP q The variable with the subscript index value is the matching parameter q, k is the subscript index value of the matching parameter in the list, and δ(qk) is the impact function.

[0039] It should be noted that the specific sizes of the above preset values and preset differences can be determined according to actual matching requirements and are not limited here.

[0040] Step 130 : Obtain, by frequency sweeping, the lumped phase parameters of the lumped equivalent circuit and the dynamic phase parameters of the dynamical branch corresponding to each matching parameter in the list at each frequency within the frequency sweeping bandwidth.

[0041] Among them, the lumped phase parameter is obtained by frequency sweeping to obtain the current vector and voltage vector of the lumped equivalent circuit corresponding to each matching parameter at each frequency within the swept bandwidth, and then calculated using the current vector and voltage vector. The lumped phase parameter includes one of the following: the phase difference between the voltage vector and the current vector, the phase difference between the current vector and the voltage vector, the phase of the total impedance of the lumped equivalent circuit, and the phase of the total admittance of the lumped equivalent circuit.

[0042] For example, by sweeping the frequency, the frequency F at each frequency point within the sweep bandwidth is obtained. i The current vector I i and voltage vector U i , and the total impedance Z of the ultrasonic transducer can be obtained by calculating Ohm's lawi , the total admittance Y can also be calculated i (It can also be obtained by other methods such as amplitude detection and phase detection algorithms), where the total impedance Z i and total admittance Y i The expression is: , , where the total impedance Z i The phase is the phase difference between the voltage vector and the current vector, and the total admittance Y i The phase is the phase difference between the current vector and the voltage vector.

[0043] The dynamic phase parameters are obtained by frequency sweeping to obtain the current vector and voltage vector of the dynamic branch corresponding to each matching parameter at each frequency within the frequency sweep bandwidth, and then calculated using the current vector and voltage vector. The dynamic phase parameters include one of the following: the phase difference between the voltage vector and the current vector, the phase difference between the current vector and the voltage vector, the phase of the impedance of the dynamic branch, and the phase of the admittance of the dynamic branch.

[0044] Step 140: Construct a target curve of target phase change at different frequency points based on the electrical parameters or the lumped phase parameters of the dynamic branch.

[0045] The target curve's plane coordinate system has a horizontal axis representing frequency and a vertical axis representing target phase. The target curve can be expressed in a variety of ways. A target curve representing target phase variation at different frequencies is constructed based on the electrical parameters or lumped phase parameters of the dynamic branch, yielding an expression for the target curve.

[0046] In one embodiment, based on the electrical parameters of the dynamic branch such as the dynamic capacitance C d , dynamic resistance R d , and dynamic inductance L d Get the frequency point F h The target phase The expression of ,in, express The phase of the target curve at different frequency points is expressed as follows: , where z is the number of frequencies in the sweep bandwidth, F i is the frequency of the independent variable with subscript index value i, j is an imaginary number, and δ(ih) is the impulse function.

[0047] In another embodiment, the target curve of target phase change at different frequency points is constructed based on the concentrated phase parameter. Expression , where F h is the frequency with the subscript h in the sweep bandwidth, F ris the frequency of the resonance point, F s is the frequency of the series resonance point, F n is the frequency of the maximum impedance point, p (Z h ) represents the phase of the total impedance of the lumped equivalent circuit, The unit of is angle or radian. In the above expression of target curve ∅(h), the unit of 90 is angle. The unit is radian. From the above expression of the target curve, it can be seen that F h Less than or equal to F r 、F s 、F n When any one of the two is selected, the target phase is the phase of the total impedance of the lumped equivalent circuit; F h Greater than F r 、F s 、F n When any of the following conditions are met, the target phase is 90 degrees or radian.

[0048] In another embodiment, the expression of the target curve of the target phase change at different frequency points is: , where F h is the frequency with the subscript h in the sweep bandwidth, F r is the frequency of the resonance point, F s is the frequency of the series resonance point, F n is the frequency of the maximum impedance point, The unit is angle or radian. The above target curve In the expression, 90 and -90 are in degrees. and- The unit is radian. It can be seen from the expression of the target curve that F h Less than or equal to F r 、F s 、F n When any one of the two is selected, the target phase is the phase of the total impedance of the lumped equivalent circuit; F h Greater than F r 、F s 、F n When any of the following conditions are met, the target phase is 90 degrees or radian.

[0049] It should be noted that the expression of the target curve can be the expression of the target curve in any of the above-mentioned embodiments, which is determined according to actual needs and is not limited here.

[0050] Step 150: construct a fitting curve of the dynamic phase parameter change of the dynamic branch at different frequency points based on different matching parameters.

[0051] The horizontal coordinate of the plane coordinate system where the fitting curve is located is the frequency, and the vertical coordinate is the dynamic phase parameter. Based on different matching parameters, a fitting curve of the dynamic phase parameter change of the dynamic branch at different frequency points is constructed to obtain the expression of the fitting curve. For example, a matching parameter MP in the list of matching parameters n The expression of the fitting curve of the dynamic phase parameter change of the dynamic branch at different frequency points is: ,in, express Phase, F h The frequency of the independent variable h is the subscript index value within the sweep bandwidth, j is an imaginary number, δ(nk) is the impulse function, and Y ah F h The total admittance of the corresponding lumped equivalent circuit, m is the number of matching parameters in the list, so the expression of the fitting curve constructed based on different matching parameters is ,in, express The phase of z is the number of frequencies in the sweep bandwidth, F i The frequency of the independent variable i is the subscript index value, Indicates the matching parameter with index k in the list, j is an imaginary number, δ(ih) is the impact function, Y i F i The total admittance of the corresponding lumped equivalent circuit, h is the subscript index value of different frequencies in the swept bandwidth.

[0052] Step 160 : Determine the value of the best matching parameter by comparing the degree of overlap between the target curve and the fitting curve; or by evaluating the central symmetry of the fitting curve with a certain frequency within the sweep bandwidth as the center.

[0053] In one embodiment, the comparison of the coincidence degree between the target curve and the fitting curve is based on the expression of the target curve and the expression of the fitting curve θ(h,k). To determine the most similar matching parameters between the two expressions, the Manhattan distance between the target phase at each frequency point in the target curve and the dynamic phase at each frequency point in the fitting curve is calculated. The cumulative sum or Euclidean distance The cumulative sum of , where the Manhattan distance The cumulative summation expression is , Euclidean distance The cumulative summation expression is , such as taking the difference between the two expressions at each frequency in the swept bandwidth and then taking the absolute value and summing them up, which is the cumulative sum of the Manhattan distance , the matching parameter corresponding to the minimum sum is taken as the best matching parameter. Find the target curve The similarity with the fitting curve θ(h,k) is the curve with the highest coincidence, and the matching parameters corresponding to the best matching curve are the best matching parameters, that is, The matching parameter corresponding to the minimum value is the best matching parameter.

[0054] The optimal matching parameters can also be determined in another way. The frequency F of the resonance point in the electrical parameters of the lumped equivalent circuit is used. r , the frequency of the series resonance point F s , the frequency F of the minimum impedance point m For example, in another embodiment, based on the target curve At the frequency F of the series resonance point s The best matching parameter corresponds to the fitting curve expression θ(h,k) in the center of F s The bandwidth of the center is also centrally symmetrical, so the matching parameters corresponding to a set of data whose phase accumulation is closest to 0 within the bandwidth are the best matching parameters, that is, the expression of the absolute value of the sum of the ordinate of the fitting curve θ(h,k) at each frequency or The matching parameter corresponding to the minimum value is taken as the best matching parameter.

[0055] Furthermore, in model-based control such as frequency closed-loop control and constant amplitude control, the optimal matching parameters can be used to solve parameters such as the dynamic branch current and dynamic branch phase as well as the dynamic branch reactance and dynamic branch resistance.

[0056] The method for obtaining the optimal matching parameters of an ultrasonic transducer provided in an embodiment of the present invention obtains the optimal matching parameters by comparing the degree of overlap between a target curve and a fitting curve, or evaluating the central symmetry of the fitting curve with a certain frequency within the sweep bandwidth as the center. The target curve and the fitting curve are constructed based on the electrical parameters of the lumped equivalent circuit of the ultrasonic transducer, solving the problem of matching accuracy being affected by parameters measured statically or identified offline, thereby improving matching accuracy.

[0057] Example 2

[0058] Figure 4 This is a device for obtaining the best matching parameters of an ultrasonic transducer provided in the second embodiment of the present invention, referring to Figure 4The device includes: a first acquisition module 310, a second acquisition module 320, a curve building module 330 and a comparison module 340; wherein the first acquisition module 310 is used to obtain the electrical parameters of the concentrated equivalent circuit of the ultrasonic transducer, and the concentrated equivalent circuit includes a static branch and a dynamic branch; the second acquisition module 320 is used to determine the sweep bandwidth according to the electrical parameters and preset a list of matching parameters of the static branch, and obtain the concentrated phase parameters of the concentrated equivalent circuit and the dynamic phase parameters of the dynamic branch corresponding to each matching parameter in the list at each frequency within the sweep bandwidth by sweeping the frequency; the curve building module 330 is used to obtain the electrical parameters of the concentrated equivalent circuit of the ultrasonic transducer, and the static branch; the second acquisition module 320 is used to determine the electrical parameters of the concentrated equivalent circuit ...; the curve building module 330 is used to obtain the electrical parameters of the concentrated equivalent circuit and the dynamic phase parameters of the dynamic branch corresponding to each matching parameter in the list at each frequency within the sweep bandwidth by sweeping the frequency; the curve building module 330 is used to obtain the electrical parameters of the concentrated equivalent circuit of the ultrasonic transducer, and the static branch; the static branch; the static branch; the static branch; the static branch; the static branch; the static branch; the static branch; the static branch; the static branch; the static branch; the static branch; the static branch; the static branch; the static branch; the static branch; the static branch; the static branch; the static branch; the static branch; the static branch; the static branch; the static branch; the static branch; the static branch; Block 330 is used to construct a target curve of target phase change at different frequency points based on the electrical parameters or concentrated phase parameters of the dynamic branch, wherein the horizontal axis is the frequency and the vertical axis is the target phase; and is used to construct a fitting curve of the dynamic phase parameter change of the dynamic branch at different frequency points based on different matching parameters, wherein the horizontal axis is the frequency and the vertical axis is the dynamic phase parameter; the comparison module 340 is used to determine the value of the best matching parameter by comparing the degree of overlap between the target curve and the fitting curve; or, evaluating the central symmetry of the fitting curve with a certain frequency within the sweep bandwidth as the center. In one embodiment, the matching parameters of the static branch include the equivalent capacitance or equivalent inductance of the static branch, and the second acquisition module 320 includes: an intermediate value determination unit and a list determination unit; wherein the intermediate value determination unit is used to use the equivalent capacitance or equivalent inductance as the intermediate value of each matching parameter in the list; the list determination unit is used to use the matching parameter with the smallest preset value compared with the intermediate value as the first matching parameter, and the matching parameter with the largest preset value compared with the intermediate value as the last matching parameter, and the intermediate value as the intermediate matching parameter, and form multiple matching parameters with a preset difference between the first matching parameter and the last matching parameter to obtain a list of matching parameters.

[0059] The device for obtaining the best matching parameters of an ultrasonic transducer provided in an embodiment of the present invention can execute the method for obtaining the best matching parameters of an ultrasonic transducer provided in any embodiment of the present invention, and has the corresponding functional modules and beneficial effects of the execution method.

[0060] Example 3

[0061] An embodiment of the present invention provides an ultrasonic surgical system, comprising: a surgical generator, an ultrasonic transducer, and an ultrasonic surgical instrument; the surgical generator is used to execute the method for obtaining the optimal matching parameters of the ultrasonic transducer as described in any embodiment of the present invention; the surgical generator is also used to output a driving signal to the ultrasonic transducer based on the value of the optimal matching parameter, and the ultrasonic transducer converts the driving signal from electrical energy to mechanical energy based on the value of the optimal matching parameter, and outputs the mechanical energy to the ultrasonic surgical instrument.

[0062] Specifically, the surgical generator is used to obtain the optimal matching parameters of the ultrasonic transducer and, based on the values of the obtained optimal matching parameters, output a drive signal, such as a drive voltage signal, to the ultrasonic transducer. The ultrasonic transducer converts the drive voltage signal from electrical energy into mechanical energy. Ultrasonic surgical instruments utilize the mechanical energy transmitted by the ultrasonic transducer through high-frequency mechanical vibrations, namely ultrasound waves, to achieve functions such as tissue cutting, coagulation, separation, and debridement. Ultrasonic surgical instruments have advantages such as minimal trauma, excellent hemostatic effects, and minimal damage to surrounding tissues, and are widely used in surgical procedures. Exemplary ultrasonic surgical instruments include ultrasonic welding dies, ultrasonic cutting hemostats, and phacoemulsification dies.

[0063] The ultrasonic surgical system provided by the embodiment of the present invention can execute the method for obtaining the optimal matching parameters of the ultrasonic transducer provided by any embodiment of the present invention, and has corresponding beneficial effects.

[0064] Example 4

[0065] An embodiment of the present invention provides a computer device, including a memory, a processor, and a computer program stored in the memory and executable on the processor. When the processor executes the computer program, a method for obtaining optimal matching parameters of an ultrasonic transducer as provided in any embodiment of the present invention is implemented.

[0066] The processor can be any general-purpose and / or specialized processing component with processing and computing capabilities. Some examples of processors include, but are not limited to, a central processing unit (CPU), a graphics processing unit (GPU), various dedicated artificial intelligence (AI) computing chips, various processors that run machine learning model algorithms, a digital signal processor (DSP), and any appropriate processor, controller, microcontroller, etc. The processor executes the various methods and processes described above, such as the method for obtaining the optimal matching parameters of the ultrasonic transducer.

[0067] In some embodiments, the ultrasonic transducer parameter identification method can be implemented as a computer program tangibly contained in a computer-readable storage medium. When the computer program is executed by a processor, one or more steps of the method for obtaining the optimal matching parameters of the ultrasonic transducer described above can be performed. In some embodiments, the processor can be configured to obtain the optimal matching parameters of the ultrasonic transducer by any other appropriate means (e.g., by means of firmware).

[0068] The computer device provided in the embodiment of the present invention can execute the method for obtaining the optimal matching parameters of the ultrasonic transducer provided in any embodiment of the present invention, and has the corresponding functional modules and beneficial effects of the execution method.

[0069] Example 5

[0070] An embodiment of the present invention provides a computer-readable storage medium having a computer program stored thereon. When the program is executed by a controller, the method for obtaining the optimal matching parameters of the ultrasonic transducer provided in any embodiment of the present invention is implemented.

[0071] The computer storage medium of the embodiments of the present invention may adopt any combination of one or more computer-readable media. The computer-readable medium may be a computer-readable signal medium or a computer-readable storage medium. The computer-readable storage medium may be, for example, but not limited to, an electrical, magnetic, optical, electromagnetic, infrared, or semiconductor system, device, or component, or any combination thereof. More specific examples (a non-exhaustive list) of computer-readable storage media include: an electrical connection having one or more wires, a portable computer disk, a hard disk, a random access memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disk read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination thereof. In this document, a computer-readable storage medium may be any tangible medium containing or storing a program that can be used by or in conjunction with an instruction execution system, device, or component.

[0072] A computer-readable signal medium may include a data signal propagated in baseband or as part of a carrier wave, which carries computer-readable program code. Such propagated data signals may take various forms, including but not limited to electromagnetic signals, optical signals, or any suitable combination thereof. A computer-readable signal medium may also be any computer-readable medium other than a computer-readable storage medium that can transmit, propagate, or transport a program for use by or in conjunction with an instruction execution system, apparatus, or device.

[0073] Program code embodied on a computer readable medium may be transmitted using any appropriate medium, including but not limited to wireless, wireline, optical fiber cable, RF, etc., or any suitable combination of the foregoing.

[0074] Computer program code for performing the operations of the present invention may be written in one or more programming languages, or a combination thereof, including object-oriented programming languages such as Java, Smalltalk, C++, and conventional procedural programming languages such as "C" or similar programming languages. The program code may be executed entirely on the user's computer, partially on the user's computer, as a stand-alone software package, partially on the user's computer and partially on a remote computer, or entirely on a remote computer or terminal. In cases involving a remote computer, the remote computer may be connected to the user's computer via any type of network, including a local area network (LAN) or a wide area network (WAN), or may be connected to an external computer (e.g., via the Internet using an Internet service provider).

[0075] Note that the above are only preferred embodiments of the present invention and the technical principles employed. Those skilled in the art will appreciate that the present invention is not limited to the specific embodiments described herein, and that various obvious changes, readjustments, combinations, and substitutions are possible for those skilled in the art without departing from the scope of the present invention. Therefore, although the present invention has been described in detail through the above embodiments, the present invention is not limited to the above embodiments and may include many other equivalent embodiments without departing from the scope of the present invention. The scope of the present invention is determined by the scope of the appended claims.

Claims

1. A method for obtaining the optimal matching parameters of an ultrasonic transducer, characterized in that: include: Acquiring electrical parameters of a lumped equivalent circuit of the ultrasonic transducer, where the lumped equivalent circuit includes a static branch and a dynamic branch; Determining a frequency sweep bandwidth and presetting a list of matching parameters of the static branch according to the electrical parameters; Obtaining, by frequency sweeping, the lumped phase parameters of the lumped equivalent circuit and the dynamic phase parameters of the motional branch corresponding to the matching parameters in the list at each frequency within the frequency sweeping bandwidth; Constructing a target curve of target phase change at different frequency points based on the electrical parameters of the dynamic branch or the concentrated phase parameters, wherein the abscissa is the frequency and the ordinate is the target phase; Constructing a fitting curve of the dynamic phase parameter change of the dynamic branch at different frequency points based on different matching parameters, wherein the abscissa is the frequency and the ordinate is the dynamic phase parameter; The value of the best matching parameter is determined by comparing the degree of overlap between the target curve and the fitting curve; or by evaluating the central symmetry of the fitting curve with a certain frequency within the frequency sweep bandwidth as the center.

2. The method according to claim 1, characterized in that The electrical parameters of the lumped equivalent circuit include static capacitance, dynamic capacitance, dynamic resistance, dynamic inductance, the frequency of the series resonance point, the frequency of the parallel resonance point, the frequency of the resonance point, the frequency of the anti-resonance point, the frequency of the maximum impedance point, and the frequency of the minimum impedance point.

3. The method according to claim 2, characterized in that The frequency sweep bandwidth is planned according to the frequency of the series resonance point and the frequency of the parallel resonance point, or according to the frequency of the resonance point and the frequency of the anti-resonance point, or according to the frequency of the maximum impedance point and the frequency of the minimum impedance point.

4. The method according to claim 1 or 2, characterized in that The electrical parameters of the static branch include: static capacitance, and parallel parasitic capacitance, parallel parasitic inductance, and parallel parasitic resistance in parallel with the static capacitance; or, the electrical parameters of the static branch include: static capacitance, and series parasitic capacitance, series parasitic inductance, and series parasitic resistance in series with the static capacitance; or, the electrical parameters of the static branch include: static capacitance, parallel parasitic capacitance, parallel parasitic inductance, and parallel parasitic resistance in parallel with the static capacitance, and series parasitic capacitance, series parasitic inductance, and series parasitic resistance in series with the static capacitance.

5. The method according to claim 4, characterized in that The matching parameter of the static branch includes an equivalent capacitance or an equivalent inductance of the static branch, and the preset list of matching parameters of the static branch includes: Taking the equivalent capacitance or equivalent inductance as the middle value of each matching parameter in the list; The matching parameter with the smallest preset value compared to the intermediate value is used as the first matching parameter, and the matching parameter with the largest preset value compared to the intermediate value is used as the last matching parameter, and the intermediate value is used as the intermediate matching parameter. Multiple matching parameters are formed with preset differences between the first matching parameter and the last matching parameter to obtain a list of the matching parameters.

6. The method according to claim 5, characterized in that The sequence formed by each matching parameter MP in the list ; Wherein, m is the matching parameter MP q The number of MP q The independent variable is the matching parameter q in the subscript index value, k is the subscript index value of the matching parameter in the list, and δ(qk) is the impulse function.

7. The method according to claim 1 or 6, characterized in that The expression of the target curve includes: constructing a target curve of target phase change at different frequency points based on the electrical parameters of the dynamic branch The expression of , where z is the number of frequencies in the sweep bandwidth, F i is the frequency of the independent variable with subscript index value i, j is an imaginary number, δ(ih) is the impulse function, L d 、C d 、R d are respectively the dynamic inductance, dynamic capacitance and dynamic resistance of the electrical parameters of the dynamic branch; or A target curve of target phase change at different frequency points is constructed based on the centralized phase parameter The expression of , where F h is the frequency with the subscript h in the sweep bandwidth, F r is the frequency of the resonance point, F s is the frequency of the series resonance point, F n is the frequency of the maximum impedance point, p (Z h ) represents the phase of the total impedance of the lumped equivalent circuit, in degrees or radians; or, The target curve The expression is, , where F h is the frequency with the subscript h in the sweep bandwidth, F r is the frequency of the resonance point, F s is the frequency of the series resonance point, F n is the frequency of the maximum impedance point, The unit is degrees or radians.

8. The method according to claim 7, characterized in that The expression of the fitting curve is: ,in, express The phase of z is the number of frequencies in the sweep bandwidth, F i The frequency of the independent variable i is the subscript index value, represents the matching parameter with index k in the list, j is an imaginary number, δ(ih) is the impulse function, Y i F i The corresponding total admittance of the lumped equivalent circuit, h is the subscript index value of different frequencies in the swept bandwidth.

9. The method according to claim 8, characterized in that The comparing the degree of coincidence between the target curve and the fitting curve includes: The target curve The expression related to the coincidence degree of the fitting curve θ(h,k) is The matching parameter corresponding to the minimum value is taken as the best matching parameter, where z is the number of frequencies in the sweep bandwidth, k is the subscript index value of different matching parameters in the list, and h is the subscript index value of different frequencies in the sweep bandwidth.

10. The method according to claim 8, characterized in that The evaluating the central symmetry of the fitting curve with a certain frequency within the frequency sweep bandwidth as the center comprises: Determine the minimum value of the absolute value of the cumulative sum of the ordinates of the fitting curve by taking any one of the frequency of the resonance point, the frequency of the series resonance point, and the frequency of the impedance minimum point among the electrical parameters of the lumped equivalent circuit as the symmetry center of the frequency sweep bandwidth; The expression of the absolute value of the sum of the ordinates of the fitting curve θ(h,k) is or The matching parameter corresponding to the minimum value is taken as the best matching parameter, where z is the number of frequencies in the sweep bandwidth, h is the subscript index value of different frequencies in the sweep bandwidth, and k is the subscript index value of different matching parameters in the list.

11. The method according to claim 1, wherein The lumped phase parameter is obtained by frequency sweeping to obtain the current vector and voltage vector of the lumped equivalent circuit corresponding to each matching parameter at each frequency within the frequency sweeping bandwidth, and then calculated using the current vector and the voltage vector. The lumped phase parameter includes one of the following: the phase difference between the voltage vector and the current vector, the phase difference between the current vector and the voltage vector, the phase of the total impedance of the lumped equivalent circuit, and the phase of the total admittance of the lumped equivalent circuit.

12. The method according to claim 1, characterized in that The dynamic phase parameter is obtained by frequency sweeping to obtain the current vector and voltage vector of the dynamic branch corresponding to each matching parameter at each frequency within the frequency sweeping bandwidth, and then calculated using the current vector and voltage vector. The dynamic phase parameter includes one of the following: the phase difference between the voltage vector and the current vector, the phase difference between the current vector and the voltage vector, the phase of the impedance of the dynamic branch, and the phase of the admittance of the dynamic branch.

13. A device for obtaining the optimal matching parameters of an ultrasonic transducer, characterized in that: include: a first acquisition module, configured to acquire electrical parameters of a lumped equivalent circuit of the ultrasonic transducer, wherein the lumped equivalent circuit includes a static branch and a dynamic branch; a second acquisition module, configured to determine a frequency sweep bandwidth according to the electrical parameters and preset a list of matching parameters of the static branch, and obtain, by frequency sweeping, a lumped phase parameter of the lumped equivalent circuit and a dynamic phase parameter of the dynamic branch corresponding to each matching parameter in the list at each frequency within the frequency sweep bandwidth; A curve construction module is used to construct a target curve of target phase change at different frequency points based on the electrical parameters of the dynamic branch or the concentrated phase parameter, wherein the abscissa is the frequency and the ordinate is the target phase; and is used to construct a fitting curve of the dynamic phase parameter change of the dynamic branch at different frequency points based on different matching parameters, wherein the abscissa is the frequency and the ordinate is the dynamic phase parameter; The comparison module is used to determine the value of the best matching parameter by comparing the overlap between the target curve and the fitting curve; or evaluating the central symmetry of the fitting curve with a certain frequency within the sweep bandwidth as the center.

14. An ultrasonic surgical system, characterized in that: include: surgical generators, ultrasonic transducers, and ultrasonic surgical instruments; The surgical generator is used to obtain electrical parameters of a lumped equivalent circuit of the ultrasonic transducer, wherein the lumped equivalent circuit includes a static branch and a dynamic branch. A frequency sweep bandwidth is determined according to the electrical parameters and a list of matching parameters of the static branch is preset. The lumped phase parameters of the lumped equivalent circuit and the dynamic phase parameters of the dynamic branch corresponding to each matching parameter in the list at each frequency within the frequency sweep bandwidth are obtained by frequency sweeping. A target curve of target phase changes at different frequency points is constructed based on the electrical parameters of the dynamic branch or the lumped phase parameters, wherein the abscissa is the frequency and the ordinate is the target phase. A fitting curve of the dynamic phase parameter changes of the dynamic branch at different frequency points is constructed based on different matching parameters, wherein the abscissa is the frequency and the ordinate is the dynamic phase parameter. The value of the optimal matching parameter is determined by comparing the degree of overlap between the target curve and the fitting curve or evaluating the central symmetry of the fitting curve with a certain frequency within the frequency sweep bandwidth as the center. The surgical generator is also used to output a driving signal to the ultrasonic transducer based on the value of the optimal matching parameter. The ultrasonic transducer converts the driving signal from electrical energy to mechanical energy based on the value of the optimal matching parameter and outputs the mechanical energy to the ultrasonic surgical instrument.

15. A computer device comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein: When the processor executes the computer program, the steps of the method according to any one of claims 1 to 12 are implemented.

16. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by a processor, the steps of the method according to any one of claims 1 to 12 are implemented.

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