Self-feedback regulation and control device and method of laser

Abstract

The embodiment of the invention discloses a self-feedback regulation and control device and method of a laser. The device comprises: a light source output module configured to output a laser beam, including but not limited to a pumping source and a resonant cavity; the light source detection module is used for acquiring actual light beam information; the actual light beam information comprises but is not limited to power ai, pulse width mi and light beam quality pi; the light source output module synchronously moves along with the displacement platform; the controller comprises an input module and a data processing module, the data processing module comprises an FPGA (Field Programmable Gate Array) and an MCU (Microprogrammed Control Unit), a neural network model is loaded in the FPGA, and the neural network model comprises various laser cavity type data and light beam information corresponding to each laser cavity type data. According to the technical scheme, the internal structure can be adjusted in a self-feedback mode, various cavity types are formed, the output power, the pulse width and the light beam quality of the laser are adjusted, and the application range of laser equipment is widened.

Description

Technical Field

[0001] The invention relates to laser technology, and in particular to a self-feedback control device and method for a laser. Background Art

[0002] Because lasers have the characteristics of high brightness, high directionality, high monochromaticity and high coherence, they are widely used in information, processing, medical treatment, military and other fields.

[0003] After the laser is installed, the optical parameters of the laser have been determined, and it is difficult to change the internal structure of the laser according to the required parameters. There are problems such as a single laser structure and unadjustable optical parameters. Users will need laser outputs with different parameters in different scenarios. For example, there will be different requirements for beam quality, pulse width, and power at different stages, and specific parameters need to be matched. However, lasers on the market can only output lasers with fixed parameters or a single parameter range after installation. For example, the output beam power can be changed by controlling the pump current, and the maximum power value is a constant and the power cannot be adjusted upward. Similarly, other parameters such as pulse width and beam quality cannot be changed after the cavity shape is fixed, which cannot meet customers' needs for using lasers in different scenarios. Summary of the invention

[0004] The present invention provides a self-feedback control device and method for a laser, which can self-feedback adjust the internal structure to form a variety of cavity types, thereby adjusting the output power, pulse width and beam quality of the laser, thereby improving the application range of the laser equipment.

[0005] In a first aspect, an embodiment of the present invention provides a self-feedback control device for a laser, comprising: A light source output module, configured to output a laser beam, including but not limited to a pump source and a resonant cavity; A light source detection module is used to obtain actual beam information, including but not limited to a power meter, a frequency meter and a beam quality tester; the actual beam information includes but is not limited to power a i , pulse width m i , beam quality p i ; A displacement platform, the light source output module is connected to the displacement platform, and the light source output module moves synchronously with the displacement platform; A controller, the controller comprising an input module and a data processing module, the input module and the data processing module being communicatively connected; The input module is used to obtain expected parameters; The data processing module includes an FPGA and an MCU. The FPGA is loaded with a neural network model, and the neural network model includes a plurality of laser cavity data and beam information corresponding to each of the laser cavity data. The FPGA is used to screen the standard cavity that meets the expected parameters in the neural network model. The MCU is loaded with a control system for confirming the optimal cavity by calculation and controlling the movement of the displacement platform. The light source output module, the light source detection module and the displacement platform are all communicatively connected with the controller.

[0006] In a second aspect, an embodiment of the present invention provides a self-feedback control method for a laser. The self-feedback control method comprises: Using a controller to select desired parameters of the laser beam emitted by the laser, including but not limited to desired power, desired pulse width, and desired beam quality; The controller matches N standard cavity types that meet the expected parameters in the neural network model, where N is a positive integer; Calculate the best cavity type from the N standard cavity types; if N is 1, the standard cavity type is the best cavity type; if N is a positive integer greater than 1, the standard beam information corresponding to the N groups of standard cavity types is power A N , pulse width M N , beam quality P N ; Calculate the power A in the standard beam information N The percentage deviation from the expected power is denoted as I; M N The percentage deviation from the expected pulse width is denoted as J; P N The percentage of deviation from the desired beam quality is recorded as K; the standard cavity type corresponding to the standard beam information with the smallest (I+J+K) is taken as the optimal cavity type; The controller controls the displacement platform to move, and the light source output module moves synchronously with the displacement platform until the light source output module moves to the optimal cavity shape.

[0007] Optionally, before using the controller to select desired parameters of the laser beam emitted by the laser, including but not limited to desired power, desired pulse width and desired beam quality, the method further includes: The controller controls the displacement platform to reset.

[0008] Optionally, the network neural model includes but is not limited to a convolutional neural network, a recursive neural network and a preset training model.

[0009] Optionally, using a controller to select desired parameters of the laser beam emitted by the laser includes: The value and / or value range of the desired parameter is selected step by step according to a preset sequence.

[0010] Optionally, calculate the power A in the standard beam information N The percentage deviation from the expected power is denoted as I; M N The percentage deviation from the expected pulse width is denoted as J; P N The percentage deviation from the desired beam quality, denoted as K, is followed by: The standard cavity type corresponding to the standard beam information with the smallest (I+J+K) is not unique; The standard cavity types corresponding to the smallest I, J and K values ​​are sorted according to a preset order for user selection.

[0011] Optionally, calculating the best cavity shape from the N standard cavity shapes includes: Calculate the pulse stability X corresponding to the standard cavity type N The deviation percentage L from the expected pulse stability is taken as the standard cavity type corresponding to the standard beam information with the smallest (I+J+K+L) as the optimal cavity type.

[0012] Optionally, the laser self-feedback adjustment device further includes an alarm module. S5: the light source detection module obtains actual beam information; the current beam information includes but is not limited to power a i , pulse width m i , beam quality p i ; If the actual beam information meets the expected parameters, keeping the displacement platform in a standby state; If the actual beam information does not meet the expected parameters, then: The controller controls the displacement platform to reset; The controller controls the displacement platform to move, and the light source output module moves synchronously with the displacement platform until the light source output module moves to the optimal cavity shape; The light source detection module obtains actual beam information; the current beam information includes but is not limited to power a i+1 , pulse width m i+1 , beam quality p i+1 ; If the actual beam information meets the expected parameters, keeping the displacement platform in a standby state; If at least one parameter of the actual light beam information does not meet the expected parameter, the alarm module issues an alarm.

[0013] Optionally, after the actual beam information meets the expected parameters and the mobile platform is kept in a standby state, the method further includes: The light source detection module obtains at least N pairs of arrays of the actual beam information, and calculates the deviation percentage between the actual beam information and the optimal beam information corresponding to the optimal cavity type in the N pairs of arrays; If the deviation percentage between the actual beam information and the optimal beam information is less than a preset value, the displacement platform is kept in the standby state; If the deviation percentage between the actual beam information and the optimal beam information is not less than the preset value, the alarm module issues an alarm.

[0014] Optionally, the light source detection module obtaining at least N pairs of arrays of the actual beam information includes: The light source detection module obtains in real time an array pair composed of the power, pulse width and beam quality of the actual beam information; If the current array pair is the i-th array pair, the N array pairs include the (i-(N - 1))-th array pair to the i-th array pair, where i≥N; and every time i changes by j times, the calculation of the deviation percentage between the actual beam information and the optimal beam information is performed, 0 < j≤N, and i and j are integers.

[0015] An automatic feedback regulation device and method for a laser provided by an embodiment of the present invention, the device includes: a light source output module configured to output a laser beam, including but not limited to a pump source and a resonator; a light source detection module for obtaining actual beam information, including but not limited to a power meter, a frequency meter and a beam quality tester; the actual beam information includes but not limited to power a i , pulse width m i , beam quality p i ; a displacement platform, the light source output module is connected to the displacement platform, and the light source output module moves synchronously with the displacement platform; a controller, the controller includes an input module and a data processing module, and the input module and the data processing module are communicatively connected; the data processing module includes an FPGA and an MCU, the FPGA is loaded with a neural network model, the neural network model includes various laser cavity type data and the beam information corresponding to each laser cavity type data; the MCU is loaded with a control system; the light source output module, the light source detection module and the displacement platform are all communicatively connected to the controller. The device realizes the movement of the light source output module through the displacement platform, can automatically feedback and adjust the internal structure to form various cavity types, thereby adjusting the output power, pulse width and beam quality of the laser, and improving the application range of the laser device.

[0016] It should be understood that the content described in this part is not intended to identify the key or important features of the embodiments of the present invention, nor is it used to limit the scope of the present invention. Other features of the present invention will become easily understood through the following description. BRIEF DESCRIPTION OF THE DRAWINGS

[0017] Figure 1 A schematic diagram of the structure of a self-feedback control device for a laser provided in an embodiment of the present invention; Figure 2 A schematic diagram of an optical path of a self-feedback control device for a laser provided in an embodiment of the present invention; Figure 3 A schematic diagram of an optical path of another self-feedback control device for a laser provided by an embodiment of the present invention; Figure 4 A schematic structural diagram of a displacement platform provided by an embodiment of the present invention; Figure 5 A flow chart of a self-feedback control method for a laser provided by an embodiment of the present invention; Figure 6 A flow chart of another self-feedback control method for a laser provided by an embodiment of the present invention; Figure 7 A flow chart of another self-feedback control method for a laser provided in an embodiment of the present invention.

[0018] 1-light source output module; 11-pump source; 12-resonant cavity; 121-first total reflection lens; 122-second total reflection lens; 13-Q-switching module; 14-amplification module; 15-nonlinear crystal component; 16-color separation mirror; 17-third total reflection lens; 18-fourth total reflection lens; 2-light source detection module; 21-power meter; 22-frequency meter; 23-beam quality tester; 3-displacement platform; 31-retention rod; 32-guide rail; 33-slider; 34-motor; 4-controller; 41-input module; 42-data processing module; 421-FPGA; 4211-neural network model; 422-MCU. DETAILED DESCRIPTION

[0019] The present invention will be further described in detail below in conjunction with the accompanying drawings and embodiments. It is to be understood that the specific embodiments described herein are only used to explain the present invention, rather than to limit the present invention. It should also be noted that, for ease of description, only parts related to the present invention, rather than all structures, are shown in the accompanying drawings.

[0020] The terms used in the embodiments of the present invention are only for the purpose of describing specific embodiments, and are not intended to limit the present invention. It should be noted that the directional words such as "upper", "lower", "left", "right" and the like described in the embodiments of the present invention are described at the angles shown in the accompanying drawings and should not be understood as limitations on the embodiments of the present invention. In addition, in the context, it is also necessary to understand that when it is mentioned that an element is formed "on" or "under" another element, it can not only be directly formed "on" or "under" another element, but also indirectly formed "on" or "under" another element through an intermediate element. The terms "first", "second", etc. are only used for descriptive purposes and do not represent any order, quantity or importance, but are only used to distinguish different components. For those of ordinary skill in the art, the specific meanings of the above terms in the present invention can be understood in specific circumstances.

[0021] The term “including” and its variations used in the present invention are open inclusions, that is, “including but not limited to.” The term “based on” means “based at least in part on.” The term “one embodiment” means “at least one embodiment.”

[0022] It should be noted that the concepts such as "first" and "second" mentioned in the present invention are only used to distinguish the corresponding contents, and are not used to limit the order or interdependence.

[0023] It should be noted that the modifications of "one" and "plurality" mentioned in the present invention are illustrative rather than restrictive, and those skilled in the art should understand that, unless otherwise clearly indicated in the context, it should be understood as "one or more".

[0024] Figure 1 A schematic diagram of the structure of a self-feedback control device for a laser provided in an embodiment of the present invention, Figure 2 A schematic diagram of an optical path of a self-feedback control device for a laser provided in an embodiment of the present invention; Figure 3 A schematic diagram of an optical path of another self-feedback control device for a laser provided by an embodiment of the present invention; Figure 4 Schematic diagram of a displacement platform provided by an embodiment of the present invention. Figure 1-Figure 4 As shown, the self-feedback adjustment device of the laser includes: A light source output module 1 is configured to output a laser beam, including but not limited to a pump source 11 and a resonant cavity 12; Light source detection module 2, used to obtain actual beam information, including but not limited to power meter 21, frequency meter 22 and beam quality tester 23; actual beam information includes but is not limited to power a i , pulse width m i , beam quality p i ; A displacement platform 3, the light source output module 1 is connected to the displacement platform 3, and the light source output module 1 moves synchronously with the displacement platform 3; The controller 4 includes an input module 41 and a data processing module 42, and the input module 41 and the data processing module 42 are in communication connection; The input module 41 is used to obtain the expected parameters; The data processing module 42 includes an FPGA 421 and an MCU 422. The FPGA 421 contains a neural network model 4211, which includes a plurality of laser cavity data and beam information corresponding to each laser cavity data. The FPGA 421 is used to screen the standard cavity that meets the expected parameters in the neural network model 4211. The MCU 422 contains a control system for confirming the optimal cavity by calculation and controlling the movement of the displacement platform 3. The light source output module 1 , the light source detection module 2 and the displacement platform 3 are all connected to the controller 4 for communication.

[0025] Specifically, engineers obtain the beam information corresponding to various laser cavity types in advance in benchtop experiments and store it in the neural network model 4211.

[0026] Among them, the method of obtaining multiple cavity types can be by placing the pump source 11 and the resonant cavity 12 on the displacement platform 3 respectively, and controlling the movement of the device respectively through the controller 4 to obtain cavity types with different cavity lengths and different pump source 11 positions. Since the cavity type is an important factor affecting the laser beam information, laser beams with different beam information can be obtained by changing the position of each device. The input module 41 can be a PC, a host computer or an operation screen, which is used to obtain the customer's expected parameters. The controller 4 can match N standard cavity types that meet the expected parameters in the neural network model 4211, and then calculate the best cavity type from the N standard cavity types. The calculation process can be as follows: If N is 1, then the standard cavity shape is the optimal cavity shape; If N is a positive integer greater than 1, the standard beam information corresponding to the N sets of standard cavities is power A N , pulse width M N , beam quality P N ; Calculate the power A in the standard beam information N The percentage deviation from the expected power is denoted as I; M N The percentage deviation from the expected pulse width is denoted as J; P N The percentage deviation from the expected beam quality is denoted by K; The standard cavity type corresponding to the standard beam information with the smallest (I+J+K) is taken as the optimal cavity type.

[0027] For example, Figure 2 As shown, the displacement platform 3 carries the first total reflection mirror 121, the second total reflection mirror 122 and the pump source 11 respectively, and the laser beam is reflected and outputted through the third total reflection mirror 17. The weak laser beam is transmitted through the third total reflection mirror 17 and received by the light source detection module 2. The light source detection module 2 can be a power meter 21, a frequency meter 22 and a beam quality tester 23 and other instruments to obtain beam information. Figure 3 As shown, similarly, the displacement platform 3 carries the first total reflection mirror 121, the second total reflection mirror 122 and the pump source 11 respectively. The pump source 11 emits a light beam, which passes through the Q-switching module 13, is reflected by the first total reflection mirror 121, and is reflected by the fourth total reflection mirror 18. The power is amplified by the amplification module 14, and then reflected by the dichroic mirror 16, and the frequency is doubled by the nonlinear crystal component 15. After being reflected by the second total reflection mirror 122, it is emitted through the dichroic mirror 16 and the third total reflection mirror 17. The weak laser beam will be transmitted through the third total reflection mirror 17 and received by the light source detection module 2. Figure 1-Figure 4 The displacement platform 3 may be composed of a guide rail 32, a retaining rod 31, a slider 33 and a motor 34. The slider 33 carries the pump source 11 and the resonant cavity 12. Figure 4 Taking the slider 33 carrying the pump source 11 as an example, when there is only one pump source 11, the guide rail 32 is fixed on the retaining rod 31, and the retaining rod 31 is parallel to the transmission direction of the laser beam, which is used to ensure that the pump source 11 moves coaxially with the propagation direction of the beam. The pump source 11 is fixed on the guide rail 32 through the slider 33, and the controller 4 changes the position of the pump source 11 by controlling the motor 34.

[0028] It should be noted that the specific optical path scheme is not limited here. The pump source 11 can be one, two, or three or more. The Q-switching module 13, the amplification module 14 and the nonlinear crystal component 15 are not necessary devices; the displacement platform 3 can also be other components, which are not limited here.

[0029] The self-feedback control device of the laser provided in the embodiment of the present invention comprises: a light source output module 1, configured to output a laser beam, including but not limited to a pump source 11 and a resonant cavity 12; a light source detection module 2, used to obtain actual beam information, including but not limited to a power meter 21, a frequency meter 22 and a beam quality tester 23; the actual beam information includes but is not limited to power a i , pulse width m i , beam quality p i; displacement platform 3, light source output module 1 is connected with displacement platform 3, light source output module 1 moves synchronously with displacement platform 3; controller 4, controller 4 includes input module 41 and data processing module 42, input module 41 and data processing module 42 are connected in communication; data processing module 42 includes FPGA421 and MCU422, FPGA421 is loaded with neural network model 4211, neural network model 4211 includes multiple laser cavity data and beam information corresponding to each laser cavity data; MCU422 is loaded with control system; light source output module 1, light source detection module 2 and displacement platform 3 are all connected in communication with controller 4. The device realizes the movement of light source output module 1 through displacement platform 3, and then changes the cavity to output laser with suitable parameters, which meets the needs of different scenarios of customers. The controller 4 determines the best cavity according to the N standard cavity types that meet the expected parameters matched in the neural network model 4211, meets customer needs, improves the utilization rate of laser equipment, and saves time cost, human resources and financial resources from laser research and development to installation. This structure can self-feedback adjust the internal structure to form a variety of cavity types, thereby adjusting the laser output power, pulse width and beam quality, and improving the application range of laser equipment.

[0030] Figure 5 Flow chart of a self-feedback control method of a laser provided in an embodiment of the present invention. This embodiment is based on the self-feedback control device of the laser in the above embodiment. Figure 5 As shown, the self-feedback control method includes: S110 , using the controller 4 to select desired parameters of the laser beam emitted by the laser, including but not limited to desired power, desired pulse width, and desired beam quality.

[0031] The expected parameters can be either numerical values ​​or numerical ranges. Customers can input numerical values ​​or numerical ranges such as power, pulse width, and beam quality according to actual needs.

[0032] S120. The controller 4 matches N standard cavity types that meet the expected parameters in the neural network model 4211, where N is a positive integer.

[0033] Specifically, the neural network model 4211 includes a variety of laser cavity data and beam information corresponding to each laser cavity data, including at least power, pulse width and beam quality. The user inputs the desired parameters through the input module 41, and the data processing module 42 selects the standard cavity type in the neural network model 4211 according to the desired parameters.

[0034] S130, calculating the best cavity shape from N standard cavity shapes.

[0035] Specifically, there may not be a single standard cavity type that meets the desired parameters.

[0036] S131. If N is 1, the standard cavity type is the optimal cavity type.

[0037] Specifically, if there is only one standard cavity type that meets the expected parameters, then this standard cavity type is the optimal cavity type in the neural network model 4211, which can meet all customer requirements for beam information.

[0038] S132, if N is a positive integer greater than 1, the standard beam information corresponding to the N groups of standard cavity types is power A N , pulse width M N , beam quality P N .

[0039] Specifically, if there is more than one standard cavity type that meets the desired parameters, the controller 4 needs to continue to screen out the best cavity type from the multiple standard cavity types.

[0040] Exemplarily, if there are three groups of standard cavity types that meet the expected parameters, the standard beam information corresponding to the three groups of standard cavity types are: the first group: power A1, pulse width M1, beam quality P1; the second group: power A2, pulse width M2, beam quality P2; the third group: power A3, pulse width M3, beam quality P3.

[0041] S133. Calculate the power A in the standard beam information N The percentage deviation from the expected power is denoted as I; M N The percentage deviation from the expected pulse width is denoted as J; P N The percentage deviation from the expected beam quality is denoted by K.

[0042] S134, taking the standard cavity type corresponding to the standard beam information with the smallest (I+J+K) as the optimal cavity type.

[0043] Specifically, the percentage deviations of the power, pulse width and beam quality from the expected parameters in the three groups of standard beam information are calculated. For example, for the first group, the percentage deviation of power is I=5%, the percentage deviation of pulse width is J=10%, the percentage deviation of beam quality is K=2%, and I+J+K=17%; for the second group, the percentage deviation of power is I=8%, the percentage deviation of pulse width is J=8%, the percentage deviation of beam quality is K=3%, and I+J+K=19%; for the third group, the percentage deviation of power is I=10%, the percentage deviation of pulse width is J=2%, the percentage deviation of beam quality is K=4%, and I+J+K=16%; in summary, the third group (I+J+K) is the smallest, so the standard cavity type corresponding to the third group is taken as the optimal cavity type.

[0044] S140 , the controller 4 controls the displacement platform 3 to move, and the light source output module 1 moves synchronously with the displacement platform 3 until the light source output module 1 moves to the optimal cavity shape.

[0045] Specifically, refer to Figure 1-Figure 4 After the optimal cavity shape is determined in the previous step, the controller 4 drives the light source output module 1 by controlling the displacement platform 3, such as driving the first total reflection lens 121, the second total reflection lens 122 and / or the pump source 11 to move toward the optimal cavity shape until the light source output module 1 moves to the optimal cavity shape.

[0046] The technical solution of the embodiment of the present invention uses a controller 4 to select the desired parameters of the laser beam emitted by the laser, including but not limited to the desired power, the desired pulse width and the desired beam quality; the controller 4 matches N standard cavity types that meet the desired parameters in the neural network model 4211, where N is a positive integer; the best cavity type is calculated from the N standard cavity types; if N is 1, the standard cavity type is the best cavity type; if N is a positive integer greater than 1, the standard beam information corresponding to the N groups of standard cavity types is power A N , pulse width M N , beam quality P N ; Calculate the power A in the standard beam information N The percentage of deviation from the expected power is denoted as I; M N The percentage deviation from the expected pulse width is denoted as J; P N The percentage of deviation from the expected beam quality is recorded as K; the standard cavity type corresponding to the standard beam information with the minimum (I+J+K) is taken as the optimal cavity type; the controller 4 controls the displacement platform 3 to move, and the light source output module 1 moves synchronously with the displacement platform 3 until the light source output module 1 moves to the optimal cavity type. Through the above technical solution, the controller 4 preliminarily determines the standard cavity type through the expected parameters. When the standard cavity type is not unique, the optimal cavity type is determined by calculating the deviation percentage. The controller 4 controls the displacement platform 3 to move the light source output module 1 to the optimal cavity type position, and obtains a laser beam that meets the beam quality required by the user, thereby improving the utilization rate of the laser equipment and saving the time cost, human resources and financial resources of the laser from research and development to installation.

[0047] Figure 6 This is a flow chart of another self-feedback control method for a laser provided by an embodiment of the present invention. The technical solution of this embodiment is further optimized on the basis of the above-mentioned optional technical solutions. Figure 6 As shown, for the above step S110, the controller 4 is used to select the desired parameters of the laser beam emitted by the laser, including but not limited to the desired power, the desired pulse width and the desired beam quality, and the following is also included: The controller 4 controls the displacement platform 3 to reset.

[0048] The above step S110, using the controller 4 to select the desired parameters of the laser beam emitted by the laser, can be specifically broken down into: The value and / or value range of the desired parameter is selected step by step according to a preset sequence.

[0049] For the above steps, calculate the power A in the standard beam information N The percentage deviation from the expected power is denoted as I; M N The percentage deviation from the expected pulse width is denoted as J; P N The percentage deviation from the desired beam quality is denoted as K. Then add the following steps: The standard cavity type corresponding to the minimum standard beam information (I+J+K) is not unique; The standard cavity types corresponding to the smallest I, J and K values ​​are sorted according to the preset order for users to choose.

[0050] For details not yet provided in this embodiment, please refer to the previous embodiment.

[0051] refer to Figure 1-Figure 6 , the self-feedback control method comprises the following specific steps: S210 , the controller 4 controls the displacement platform 3 to reset.

[0052] The reset position may be the midpoint position of the displacement platform 3, and each device is reset first when the laser is started.

[0053] S220: Select the value and / or value range of the desired parameter step by step according to a preset order.

[0054] Among them, the preset order is that the user ranks the importance of the desired parameters according to the order of demand, such as the user pays most attention to power, followed by beam quality, and finally pulse width.

[0055] Specifically, when the user selects the expected parameters, he can select the specific values ​​of each parameter as the expected parameters, or select the range of each parameter as the expected parameters, or select the specific values ​​of some parameters combined with the value ranges of the remaining parameters as the expected parameters.

[0056] Exemplarily, the user first selects a power value range of 50W-55W, then selects a beam quality value of 11, and finally selects a pulse width value range of 200ns-250ns.

[0057] In the embodiment of the present invention, by adding a preset order, it is prevented that the user loses the best cavity type that best matches the user's needs due to a priority limitation of an unimportant parameter, and the cavity type matching degree is improved by giving priority to the value or value range of important parameters.

[0058] S230, the controller 4 matches N standard cavity types that meet the desired parameters in the neural network model 4211.

[0059] Furthermore, the network neural model 4211 includes but is not limited to a convolutional neural network, a recursive neural network and a preset training model.

[0060] S240, calculating the best cavity shape from N standard cavity shapes.

[0061] S241. If N is 1, the standard cavity type is the optimal cavity type.

[0062] S242, if N is a positive integer greater than 1, the standard beam information corresponding to the N groups of standard cavity types is power A N , pulse width M N , beam quality P N .

[0063] S243. Calculate the power A in the standard beam information N The percentage deviation from the expected power is denoted as I; M N The percentage deviation from the expected pulse width is denoted as J; P N The percentage deviation from the expected beam quality is denoted by K.

[0064] S2443. Take the standard cavity type corresponding to the standard beam information with the smallest (I+J+K) as the optimal cavity type.

[0065] S2442. The standard cavity type corresponding to the minimum standard beam information (I+J+K) is not unique.

[0066] For example, five groups of standard cavity types are finally determined by the expected parameters, and the I+J+K values ​​of the five groups of cavity types are calculated. If the I+J+K values ​​of three groups are the smallest and the same, the optimal cavity type cannot be determined.

[0067] S2443. Sort the standard cavity types corresponding to the smallest I, J and K values ​​according to a preset order for the user to select.

[0068] Specifically, the cavity types with the smallest I+J+K values ​​are sorted and listed in a preset order, so that the user can select a cavity type as the best cavity type.

[0069] Exemplarily, there are three groups of cavity types with the smallest I+J+K values, and the preset order is: power, beam quality, and finally pulse width. The three groups will arrange the deviation percentages in this order, and the values ​​are arranged from small to large. The first group: power deviation percentage: I=1%, beam quality deviation percentage: K=3%, pulse width deviation percentage: J=2%; the second group: power deviation percentage: I=2%, beam quality deviation percentage: K=1%, pulse width deviation percentage: J=3%; the third group: power deviation percentage: I=3%, beam quality deviation percentage: K=1%, pulse width deviation percentage: J=2%; the user then selects a cavity type from this order as the best cavity type. Optionally, the cavity type corresponding to the smallest value of I, J and K is used as the best cavity type. If the user is most concerned about the power value, the controller 4 directly selects the first group with the smallest power deviation percentage I as the best cavity type.

[0070] In the embodiment of the present invention, the cavity types with the smallest I+J+K values ​​are sorted and listed in a preset order, so that the user can intuitively and clearly find the cavity type that is closest to the requirements.

[0071] S250 , the controller 4 controls the displacement platform 3 to move, and the light source output module 1 moves synchronously with the displacement platform 3 until the light source output module 1 moves to the optimal cavity shape.

[0072] The self-feedback control method provided by the embodiment of the present invention comprises: the controller 4 controls the displacement platform 3 to reset; the value and / or value range of the desired parameter is selected step by step according to the preset order; the controller 4 matches N standard cavity types that meet the desired parameters in the neural network model 4211; the best cavity type is calculated from the N standard cavity types; if N is 1, the standard cavity type is the best cavity type; if N is a positive integer greater than 1, the standard beam information corresponding to the N groups of standard cavity types is power A N , pulse width M N , beam quality P N ; Calculate the power A in the standard beam information N The percentage of deviation from the expected power is denoted as I; M N The percentage deviation from the expected pulse width is denoted as J; P NThe percentage deviation from the expected beam quality is recorded as K; the standard cavity type corresponding to the standard beam information with the smallest (I+J+K) is taken as the optimal cavity type; the standard cavity type corresponding to the standard beam information with the smallest (I+J+K) is not unique; the standard cavity types corresponding to the smallest I, J and K values ​​are sorted according to the preset order for the user to choose; the controller 4 controls the displacement platform 3 to move, and the light source output module 1 moves synchronously with the displacement platform 3 until the light source output module 1 moves to the optimal cavity type. This method improves the way users select the desired parameters, prevents users from losing the best cavity type that best matches the user's needs due to the first limitation of an unimportant parameter, and improves the cavity type matching by giving priority to the value or value range of important parameters; this method also improves the process of the controller 4 calculating the best cavity type from N standard cavities, so that users can intuitively and clearly find the cavity type that is closest to their needs, improves the practicality of the laser, and enhances the user's sense of use.

[0073] Optionally, the above steps of calculating the best cavity shape from N standard cavity shapes can be specifically refined as follows: Calculate the pulse stability X corresponding to the standard cavity type N The deviation percentage L from the expected pulse stability is taken, and the standard cavity type corresponding to the standard beam information with the smallest (I+J+K+L) is taken as the optimal cavity type.

[0074] Specifically, not only the deviation percentages of power, pulse width and beam quality are calculated and summed to obtain the minimum value as the condition for screening the best cavity type, but the user can also add pulse stability as one of the limiting conditions for the desired parameters, and preliminarily screen the standard cavity types in the neural network model 4211 for the values ​​or value ranges of power, pulse width, beam quality and pulse stability, and then calculate the power A in the standard beam information. N The percentage of deviation from the expected power is denoted as I; M N The percentage deviation from the expected pulse width is denoted as J; P N The percentage of deviation from the expected beam quality is denoted by K; the pulse stability corresponding to the standard cavity type is X N The deviation percentage L from the expected pulse stability is taken, and the standard cavity type corresponding to the standard beam information with the smallest (I+J+K+L) is taken as the optimal cavity type.

[0075] In the embodiment of the present invention, by adding the limitation of the parameter of pulse stability, the standard for selecting the best cavity type is further refined, thereby further meeting the needs of users.

[0076] Figure 7 A flowchart of another self-feedback control method for a laser provided in an embodiment of the present invention. The technical solution of this embodiment is further optimized on the basis of the above-mentioned optional technical solutions, such as Figure 1 and Figure 7As shown, the self-feedback adjustment device of the laser also includes an alarm module. For the above steps, the controller 4 controls the displacement platform 3 to move, and the light source output module 1 moves synchronously with the displacement platform 3 until the light source output module 1 moves to the optimal cavity shape, and further includes: the light source detection module 2 obtains the actual beam information; the current beam information includes but is not limited to the power a i , pulse width m i , beam quality p i ; If the actual beam information meets the expected parameters, the displacement platform 3 is kept in a standby state; If the actual beam information does not meet the expected parameters, then: The controller 4 controls the displacement platform 3 to reset; The controller 4 controls the displacement platform 3 to move, and the light source output module 1 moves synchronously with the displacement platform 3 until the light source output module 1 moves to the optimal cavity shape; The light source detection module 2 obtains the actual beam information; the current beam information includes but is not limited to the power a i+1 , pulse width m i+1 , beam quality p i+1 ; If the actual beam information meets the expected parameters, the displacement platform 3 is kept in a standby state; If at least one parameter of the actual beam information does not conform to the expected parameter, the alarm module (5) issues an alarm.

[0077] After the actual beam information meets the expected parameters in the above steps and the mobile platform is kept in a standby state, the following steps are also included: The light source detection module 2 obtains at least N array pairs of actual light beam information, and calculates the deviation percentage between the actual light beam information and the optimal light beam information corresponding to the optimal cavity type in the N array pairs; If the deviation percentage between the actual beam information and the optimal beam information is less than the preset value, the displacement platform 3 is kept in the standby state; If the deviation percentage between the actual beam information and the optimal beam information is not less than a preset value, the alarm module will sound an alarm.

[0078] For details not yet provided in this embodiment, please refer to the previous embodiment.

[0079] refer to Figure 1-Figure 7 , the self-feedback control method comprises the following specific steps: S310, using the controller 4 to select desired parameters of the laser beam emitted by the laser, including but not limited to desired power, desired pulse width and desired beam quality.

[0080] S320, the controller 4 matches N standard cavity types that meet the expected parameters in the preset neural network model 4211, where N is a positive integer.

[0081] S330, calculating the best cavity shape from N standard cavity shapes.

[0082] S331. If N is 1, the standard cavity type is the optimal cavity type.

[0083] S332, if N is a positive integer greater than 1, the standard beam information corresponding to the N groups of standard cavity types is power A N , pulse width M N , beam quality P N .

[0084] S333. Calculate the power A in the standard beam information N The percentage deviation from the expected power is denoted as I; M N The percentage deviation from the expected pulse width is denoted as J; P N The percentage deviation from the expected beam quality is denoted by K.

[0085] S334, taking the standard cavity type corresponding to the standard beam information with the smallest (I+J+K) as the optimal cavity type.

[0086] S340 , the controller 4 controls the displacement platform 3 to move, and the light source output module 1 moves synchronously with the displacement platform 3 until the light source output module 1 moves to the optimal cavity shape.

[0087] S350, the light source detection module 2 obtains actual beam information; the current beam information includes but is not limited to power a i , pulse width m i , beam quality p i .

[0088] The actual beam information is the parameters of the actual output beam under this cavity type.

[0089] Specifically, after the light source output module 1 reaches the optimal cavity shape, the light source detection module 2 still obtains the actual beam information in real time, at least detecting the power a i , pulse width m i , beam quality p i .

[0090] S351. If the actual beam information meets the expected parameters, the displacement platform 3 is kept in standby state.

[0091] Specifically, the light source detection module 2 obtains the actual light beam information power a in real time i , pulse width m i , beam quality p i, and compared with the expected parameters selected by the user, the controller 4 determines whether the current actual beam information meets the expected parameters. If so, the displacement platform 3 is kept in standby state.

[0092] S352: If the actual beam information does not meet the expected parameters, the controller 4 controls the displacement platform 3 to reset.

[0093] Specifically, when the actual beam information obtained by the light source detection module 2 does not meet the expected parameters, that is, the power a i , pulse width m i , beam quality p i When at least one of the parameters does not meet the expected parameters, it may be that the laser is shaking and the device is shifted, so the controller 4 controls the displacement platform 3 to reset, that is, to restore the cavity state when the laser is just turned on.

[0094] S353 , the controller 4 controls the displacement platform 3 to move, and the light source output module 1 moves synchronously with the displacement platform 3 until the light source output module 1 moves to the optimal cavity shape.

[0095] Specifically, the step of moving the light source output module 1 to the optimal cavity position is repeated once again.

[0096] S354, the light source detection module 2 obtains the actual beam information; the current beam information includes but is not limited to power a i+1 , pulse width m i+1 , beam quality p i+1 .

[0097] S3541. If the actual beam information meets the expected parameters, the displacement platform 3 is kept in standby state.

[0098] Specifically, if after a reset step, the actual beam information is detected again and it meets the expected parameters, it is inferred that the components in the laser have shifted, resulting in the deviation of the actual beam information. At this time, the displacement platform 3 is kept in the standby state.

[0099] S3542. If at least one parameter of the actual beam information does not meet the expected parameter, the alarm module will sound an alarm.

[0100] Specifically, after a reset step, the actual beam information, such as power a i , pulse width m i , beam quality p i If there is still at least one parameter that does not meet the expected parameters, the alarm module will issue an alarm.

[0101] In the implementation of the present invention, when the actual beam information does not meet the expected parameters after reaching the optimal cavity shape, a reset is performed to detect and judge again whether the actual beam information meets the expected parameters, thereby avoiding laser failure due to recoverable reasons such as device displacement, and providing timely prompts when the fault problem cannot be solved.

[0102] S360, the light source detection module 2 obtains at least N array pairs of actual light beam information, and calculates the deviation percentage between the actual light beam information and the optimal light beam information corresponding to the optimal cavity type in the N array pairs.

[0103] For example, the power in the actual beam information obtained is: a1, a2, a3...a n , the pulse width obtained is: m1, m2, m3...m n , the beam qualities obtained are: p1, p2, p3...p n , where n ≥ N, the obtained power, pulse width and beam quality consist of the following array pairs: (a1, m1, p1), (a2, m2, p2), (a3, m3, p3)… (a n , m n , p n ), calculate the deviation percentage between the actual beam information and the optimal beam information corresponding to the optimal cavity type in the N groups of array pairs. The deviation percentage between each group of array pairs and the optimal beam information can be calculated, or the average value of the N groups of actual beam information array pairs can be taken to calculate the deviation percentage with the optimal beam information.

[0104] S361: If the deviation percentage between the actual beam information and the optimal beam information is less than a preset value, the displacement platform 3 is kept in a standby state.

[0105] Specifically, the preset value is set according to the actual situation. For example, the preset value is 10%, then the deviation percentage of each group is calculated and compared with 10%. If it is less than 10%, it is considered that the laser is operating normally and the displacement platform 3 is kept in standby mode.

[0106] S362: If the deviation percentage between the actual beam information and the optimal beam information is not less than a preset value, the alarm module sounds an alarm.

[0107] Exemplarily, the preset value is 10%. If the deviation percentage is greater than or equal to 10%, it is considered that the laser fails and the alarm module issues an alarm.

[0108] The technical solution of the embodiment of the present invention improves the detection method after the light source output module 1 is moved to the optimal cavity type. When the actual beam information does not meet the expected parameters after reaching the optimal cavity type, a reset is performed once, and then it is detected and judged again whether the actual beam information meets the expected parameters, which avoids the failure of the laser caused by recoverable reasons such as device displacement, and can give a prompt in time when the fault problem cannot be solved; and by calculating the deviation percentage of the actual beam information from the optimal beam information corresponding to the optimal cavity type in N groups of array pairs and comparing it with a preset value, the purpose of being able to detect in time whether the laser fails is achieved, the detection efficiency of the working fault of the laser is improved, and further damage to the laser is prevented. This method has a high detection accuracy and strong robustness of the detection method, and is not prone to misjudgment.

[0109] Optionally, the light source detection module 2 obtains at least N groups of array pairs of actual beam information, including: The light source detection module 2 obtains in real time an array pair composed of the power, pulse width, and beam quality of the actual beam information; If the current array pair is the i-th group of array pairs, then the N groups of array pairs include the (i-(N - 1))-th group of array pairs to the i-th group of array pairs, where i≥N; and every time i changes by j times, a calculation of the deviation percentage is performed, 0<j≤N, and i and j are integers.

[0110] Among them, the latest value is updated into the array according to the first-in, first-out principle.

[0111] Exemplarily, assume: i = 220, N = 200, j = 100, that is, it is set that the current array is the 220th group of array pairs, and 200 groups of array pairs need to be obtained. Then the currently collected array pairs include the 221st group of array pairs to the 420th group of array pairs. And it is set that a calculation of the correlation coefficient is performed every time the array pair changes by 100 times. Then when the collected array pairs are the 221st group of array pairs to the 420th group of array pairs, the deviation percentage is calculated, and then when the collected array pairs include the 321st group of array pairs to the 520th group of array pairs, the second calculation of the deviation percentage is performed, and so on.

[0112] Among them, the size of j can be set according to the actual situation. When the value of j is larger, the calculation amount is smaller; when the value of j is smaller, the detection accuracy is higher.

[0113] Note that the above are only preferred embodiments of the present invention and the technical principles used. Those skilled in the art will understand that the present invention is not limited to the specific embodiments herein, and that various obvious changes, readjustments, combinations and substitutions can be made by those skilled in the art without departing from the scope of protection of the present invention. Therefore, although the present invention has been described in more detail through the above embodiments, the present invention is not limited to the above embodiments, and may include more other equivalent embodiments without departing from the concept of the present invention, and the scope of the present invention is determined by the scope of the appended claims.

Claims

1. A self-feedback adjustment device for a laser, characterized in that: include: A light source output module (1) configured to output a laser beam, including but not limited to a pump source (11) and a resonant cavity (12); A light source detection module (2) is used to obtain actual light beam information, including but not limited to a power meter (21), a frequency meter (22) and a light beam quality tester (23); the actual light beam information includes but is not limited to the power a i , pulse width m i , beam quality p i ; A displacement platform (3), the light source output module (1) being connected to the displacement platform (3), and the light source output module (1) moving synchronously with the displacement platform (3); A controller (4), the controller (4) comprising an input module (41) and a data processing module (42), the input module (41) and the data processing module (42) being communicatively connected; The input module (41) is used to obtain expected parameters; The data processing module (42) comprises an FPGA (421) and an MCU (422); the FPGA (421) contains a neural network model (4211); the neural network model (4211) contains a plurality of laser cavity data and beam information corresponding to each of the laser cavity data; the FPGA (421) is used to screen the standard cavity in the neural network model (4211) that meets the desired parameters; the MCU (422) contains a control system that is used to confirm the optimal cavity by calculation and control the movement of the displacement platform (3); The light source output module (1), the light source detection module (2) and the displacement platform (3) are all communicatively connected to the controller (4).

2. A self-feedback control method for a laser, based on the self-feedback control device for a laser as claimed in claim 1, characterized in that: The self-feedback control method comprises: Using a controller (4) to select desired parameters of the laser beam emitted by the laser, including but not limited to desired power, desired pulse width and desired beam quality; The controller (4) matches N standard cavity types that meet the expected parameters in the neural network model (4211), where N is a positive integer; Calculate the best cavity type from the N standard cavity types; if N is 1, the standard cavity type is the best cavity type; if N is a positive integer greater than 1, the standard beam information corresponding to the N groups of standard cavity types is power A N , pulse width M N , beam quality P N ; Calculate the power A in the standard beam information N The percentage deviation from the expected power is denoted as I; M N The percentage deviation from the expected pulse width is denoted as J; P N The percentage of deviation from the desired beam quality is recorded as K; the standard cavity type corresponding to the standard beam information with the smallest (I+J+K) is taken as the optimal cavity type; The controller (4) controls the displacement platform (3) to move, and the light source output module (1) moves synchronously with the displacement platform (3) until the light source output module (1) moves to the optimal cavity shape.

3. The self-feedback control method according to claim 2, characterized in that: Before using the controller (4) to select the desired parameters of the laser beam emitted by the laser, including but not limited to the desired power, the desired pulse width and the desired beam quality, the method further includes: The controller (4) controls the displacement platform (3) to reset.

4. The self-feedback control method according to claim 2, characterized in that: The network neural model (4211) includes but is not limited to a convolutional neural network, a recursive neural network and a preset training model.

5. The self-feedback control method according to claim 2, characterized in that: The controller (4) is used to select the desired parameters of the laser beam emitted by the laser, including: The value and / or value range of the desired parameter is selected step by step according to a preset sequence.

6. The self-feedback control method according to claim 2, characterized in that: Calculate the power A in the standard beam information N The percentage deviation from the expected power is denoted as I; M N The percentage deviation from the expected pulse width is denoted as J; P N The percentage deviation from the desired beam quality, denoted as K, is followed by: The standard cavity type corresponding to the standard beam information with the smallest (I+J+K) is not unique; The standard cavity types corresponding to the smallest I, J and K values ​​are sorted according to a preset order for user selection.

7. The self-feedback control method according to claim 2, characterized in that: Calculating the best cavity shape from the N standard cavity shapes also includes: Calculate the pulse stability X corresponding to the standard cavity type N The deviation percentage L from the expected pulse stability; taking the standard cavity type corresponding to the standard beam information with the smallest (I+J+K+L) as the optimal cavity type.

8. According to the self-feedback control method of claim 2, the self-feedback control device of the laser further comprises an alarm module, characterized in that: The controller (4) controls the displacement platform (3) to move, and the light source output module (1) moves synchronously with the displacement platform (3) until the light source output module (1) moves to the optimal cavity shape, and further comprises: The light source detection module (2) obtains actual light beam information; the current light beam information includes but is not limited to power a i , pulse width m i , beam quality p i ; If the actual beam information conforms to the expected parameters, keep the displacement platform (3) in the standby state; If the actual beam information does not conform to the expected parameters, then: The controller (4) controls the displacement platform (3) to reset; The controller (4) controls the displacement platform (3) to move, and the light source output module (1) moves synchronously with the displacement platform (3) until the light source output module (1) moves to the optimal cavity type; The light source detection module (2) obtains actual light beam information; the current light beam information includes but is not limited to power a i+1 , pulse width m i+1 , beam quality p i+1 ; If the actual beam information conforms to the expected parameters, keep the displacement platform (3) in the standby state; If at least one parameter of the actual beam information does not conform to the expected parameters, the alarm module (5) issues an alarm.

9. The self-feedback control method according to claim 8, characterized in that: After the actual beam information conforms to the expected parameters and the moving platform is kept in the standby state, it further includes: The light source detection module (2) obtains at least N groups of array pairs of the actual beam information, and calculates the deviation percentage between the actual beam information and the optimal beam information corresponding to the optimal cavity type in the N groups of array pairs; If the deviation percentage between the actual beam information and the optimal beam information is less than the preset value, keep the displacement platform (3) in the standby state; If the deviation percentage between the actual beam information and the optimal beam information is not less than the preset value, the alarm module issues an alarm.

10. The self-feedback control method according to claim 9, characterized in that: The light source detection module (2) obtaining at least N groups of array pairs of the actual beam information includes: The light source detection module (2) obtains in real time the array pair composed of the power, pulse width and beam quality of the actual beam information; If the current array pair is the i-th array pair, the N groups of array pairs include the (i-(N-1))-th array pair to the i-th array pair, where i≥N; and every time i changes by j times, the calculation of the deviation percentage between the actual beam information and the optimal beam information is performed, 0<j≤N, and i and j are integers.

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