Edge light intensity adaptive laser scanning device and method based on perturbation modulation strategy
By introducing a high-speed digital signal processor and optimization control algorithm, combining fuzzy and adaptive control, using acousto-optical modulator and two-dimensional galvanometer, the problem of insufficient response speed of the feedback control system is solved, and the real-time light intensity adjustment and accurate scanning effect of the laser scanning device are realized.
Patent Information
- Application Number
- CN202510439138.X
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2025-04-09
- Publication Date
- 2025-07-08
- Estimated Expiration
- Not applicable · inactive patent
AI Technical Summary
In the existing edge light intensity adaptive laser scanning device based on perturbation modulation strategy, the response speed of the feedback control system is insufficient, resulting in a hysteresis of light intensity adjustment and affecting the scanning effect.
A high-speed response digital signal processor and optimized control algorithm are adopted, combined with fuzzy control and adaptive control algorithms, and a self-learning mechanism is introduced to monitor the light intensity changes in real time through a high-sensitivity photodiode array, and the precise modulation and scanning of the laser beam are achieved using acousto-optical modulator and two-dimensional galvanometer to ensure the real-time and accuracy of the feedback control system.
The real-time and accuracy of light intensity adjustment are significantly improved, and the feedback control system response time is no more than 1 microsecond, which improves the performance of the laser scanning device.
Smart Images

Figure CN120276144A_ABST
Abstract
Description
Technical Field
[0001] The present invention relates to the technical field of adaptive laser scanning devices, and specifically to an edge light intensity adaptive laser scanning device and method based on a perturbation modulation strategy. Background Art
[0002] The basic structure and principle of an edge light intensity adaptive laser scanning device based on a perturbation modulation strategy mainly consist of the following parts: Laser source: used to generate a high-intensity laser beam. Modulator: modulates the laser through a perturbation modulation strategy to achieve adaptive control of the light intensity. Scanning mirror: responsible for precisely scanning the modulated laser beam on the target surface. Light intensity detector: used to monitor the light intensity change in the edge region of the laser during scanning in real time. Feedback control system: based on the signal from the light intensity detector, performs feedback control on the modulator to adjust the output of the laser. This laser scanning device realizes adaptive control of the edge light intensity based on the perturbation modulation strategy.
[0003] The specific process is as follows: The laser beam emitted by the laser source first passes through the modulator. Under the action of the perturbation modulation strategy, the intensity of the laser is initially adjusted. The modulated laser beam passes through the scanning mirror and is scanned on the target surface along a predetermined path. During the scanning process, the light intensity detector monitors the light intensity in the edge region of the target surface in real time and transmits the detection result to the feedback control system. The feedback control system dynamically adjusts the modulation parameters of the modulator according to the information fed back by the light intensity detector to ensure that the light intensity in the edge region of the laser always remains within the preset range, thereby achieving the effect of adaptive light intensity control.
[0004] Although this edge light intensity adaptive laser scanning device based on a perturbation modulation strategy has certain advantages in controlling the light intensity, it also has the following defects: Since this system relies on real-time feedback for light intensity adjustment, the response speed of the feedback control system directly affects the real-time performance of light intensity adjustment. The response speeds of the detector and the control system are not fast enough, resulting in a lag in light intensity adjustment and affecting the scanning effect. Summary of the Invention
[0005] In view of the deficiencies of the prior art, the present invention provides an edge light intensity adaptive laser scanning device and method based on a perturbation modulation strategy, which solves the problem that the response speed of the feedback control system directly affects the real-time performance of light intensity adjustment, and the response speeds of the detector and the control system are not fast enough, resulting in a lag in light intensity adjustment and affecting the scanning effect.
[0006] To achieve the above objectives, the present invention is realized through the following technical solutions: An edge light intensity adaptive laser scanning device based on a perturbation modulation strategy, comprising:
[0007] A laser source for generating a laser beam;
[0008] A modulator, connected to the laser source, for modulating the laser beam according to a perturbation modulation strategy;
[0009] A scanning mirror, receiving the modulated laser beam and scanning it onto the target surface;
[0010] An optical intensity detector, for real-time monitoring of the optical intensity in the edge region of the target surface;
[0011] A feedback control system, connected to the optical intensity detector and the modulator, for adjusting the modulation parameters of the modulator according to the signal fed back by the optical intensity detector;
[0012] Wherein, the feedback control system includes a digital signal processor with high-speed response and an optimized control algorithm, for improving the response speed of the system and solving the problem that the response speed of the feedback control system directly affects the real-time performance of optical intensity adjustment.
[0013] Preferably, the modulator is an acousto-optic modulator, and the optical intensity detector is a high-sensitivity photodiode array.
[0014] Preferably, the control algorithm of the feedback control system includes the combination of a fuzzy control algorithm and an adaptive control algorithm. The fuzzy control algorithm is used for preliminary adjustment of the optical intensity, the adaptive control algorithm is used for precise adjustment of the optical intensity, and the feedback control system includes an analog-to-digital converter and a digital-to-analog converter, for converting analog signals into digital signals and processing them.
[0015] Preferably, the control algorithm is based on the following mathematical model:
[0016] I(t) = I0e -αt
[0017] Wherein, I(t) is the optical intensity, I0 is the initial optical intensity, α is the attenuation coefficient, and t is the time.
[0018] Preferably, the laser source is a tunable laser, the scanning mirror is a two-dimensional galvanometer, and the perturbation modulation strategy of the modulator includes the combination of sine modulation and random modulation.
[0019] Preferably, the frequency of the sine modulation is between 1 kHz and 10 kHz, and the frequency of the random modulation is between 10 Hz and 1 kHz.
[0020] Preferably, the conversion rates of the analog-to-digital converter and the digital-to-analog converter are high speed to ensure the real-time performance of the feedback control system, and the clock frequency of the digital signal processor with high-speed response is not lower than 1 GHz.
[0021] An edge optical intensity adaptive laser scanning device and method based on a perturbation modulation strategy, comprising the following steps:
[0022] S1. The laser source generates a stable and high-intensity laser beam, producing laser beams with different wavelengths and intensities to meet different scanning requirements.
[0023] S2. The laser beam passes through a modulator. The perturbation modulation strategy is applied to modulate the laser beam. The modulator uses an acousto-optic modulator, which can precisely control the intensity and frequency of the laser beam. The perturbation modulation strategy combines sinusoidal modulation and random modulation. The frequency range of sinusoidal modulation is from 1 kHz to 10 kHz, which is used to generate periodic light intensity changes. The frequency range of random modulation is from 10 Hz to 1 kHz, which is used to introduce random light intensity changes to enhance the modulation effect.
[0024] S3. The modulated laser beam is precisely scanned by a scanning mirror to cover the target surface. The scanning mirror uses a two-dimensional galvanometer, which can flexibly adjust the direction of the laser beam on the X-axis and Y-axis to achieve full coverage of the target surface.
[0025] S4. The light intensity detector real-time monitors the light intensity changes in the edge area of the target surface. The light intensity detector is a high-sensitivity photodiode array, which can quickly respond to small light intensity changes, and the sampling frequency is not less than 100 kHz to ensure capturing subtle light intensity changes.
[0026] S5. The light intensity detector converts the monitored light intensity signal into a digital signal and transmits it to the feedback control system through an analog-to-digital converter. The high-speed analog-to-digital converter ensures the rapidity and accuracy of signal conversion. The high-speed response digital signal processor in the feedback control system processes the signal. The clock frequency of the DSP is not less than 1 GHz to ensure the rapidity of signal processing.
[0027] S6. The feedback control system applies an optimized control algorithm, including the combination of a fuzzy control algorithm and an adaptive control algorithm. The fuzzy control algorithm is used for preliminary adjustment of the light intensity to handle large light intensity changes. The adaptive control algorithm is used for precise adjustment of the light intensity to handle subtle light intensity changes.
[0028] S7. According to the light intensity signal processed by the feedback control system, the modulation parameters of the modulator are dynamically adjusted. The modulation parameters include laser intensity, modulation frequency, and phase to achieve adaptive control of the light intensity.
[0029] S8. The feedback control system introduces a self-learning mechanism to predict and adjust the light intensity through a neural network model. The self-learning mechanism can continuously optimize the modulation parameters based on historical data and the current light intensity signal to improve the accuracy and real-time performance of the adjustment.
[0030] S9. The effect of light intensity adjustment is real-time monitored. Through continuous update of the feedback signal, the modulation parameters are continuously optimized. The signals are converted through high-speed analog-to-digital and digital-to-analog converters to ensure that the response time of the feedback control system does not exceed 1 microsecond.
[0031] The present invention provides an edge light intensity adaptive laser scanning device and method based on a perturbation modulation strategy, with the following beneficial effects:
[0032] This technical solution combines the perturbation modulation strategies of sine modulation and random modulation to achieve precise control of the laser beam intensity. The modulator uses an acousto-optic modulator, which can flexibly adjust the intensity and frequency of the laser beam within the sine frequency range of 1 kHz to 10 kHz and the random frequency range of 10 Hz to 1 kHz, thereby generating periodic and random light intensity changes, enhancing the modulation effect. In addition, a two-dimensional galvanometer scanning system is adopted to achieve flexible adjustment of the laser beam on the X-axis and Y-axis, ensuring full coverage of the target surface. A high-sensitivity photodiode array monitors the light intensity changes in the edge region in real time, with a sampling frequency not lower than 100 kHz to ensure capturing subtle light intensity changes. The high-speed conversion rate of the analog-to-digital converter and digital-to-analog converter and the clock frequency of the digital signal processor are not lower than 1 GHz, ensuring the rapidity and accuracy of signal processing.
[0033] By introducing a feedback control system and a self-learning mechanism, this technical solution further improves the real-time performance and accuracy of light intensity adjustment. The feedback control system combines a fuzzy control algorithm and an adaptive control algorithm. The fuzzy control algorithm is used for preliminary adjustment of the light intensity to handle large light intensity changes, and the adaptive control algorithm is used for precise adjustment of the light intensity to handle subtle light intensity changes. The self-learning mechanism based on the neural network model can continuously optimize the modulation parameters according to historical data and the current light intensity signal, improving the accuracy and real-time performance of the adjustment, thus effectively solving the problem of light intensity adjustment lag caused by insufficient response speed of the traditional feedback control system. By real-time monitoring the effect of light intensity adjustment, continuously updating the feedback signal and optimizing the modulation parameters, it ensures the efficient and stable operation of the system in a dynamic environment. The response time of the feedback control system does not exceed 1 microsecond, significantly improving the performance of the laser scanning device. BRIEF DESCRIPTION OF THE DRAWINGS
[0034] Figure 1 is a flowchart of the present invention;
[0035] Figure 2 is a comparison diagram of the system response speed of the present invention;
[0036] Figure 3 is a comparison diagram of the adjustment accuracy of the present invention;
[0037] Figure 4 is a diagram of the learning mechanism improving the adjustment accuracy of the present invention. DETAILED DESCRIPTION OF THE INVENTION
[0038] The technical solutions in the embodiments of the present invention are clearly and completely described. Obviously, the described embodiments are only a part of the embodiments of the present invention, rather than all the embodiments. All other embodiments obtained by those of ordinary skill in the art based on the embodiments of the present invention without creative efforts shall fall within the protection scope of the present invention.
[0039] As Figures 1-4 shown, an edge light intensity adaptive laser scanning device based on a perturbation modulation strategy provided by an embodiment of the present invention includes a laser source for generating a laser beam. The laser source is a tunable laser, the scanning mirror is a two-dimensional galvanometer, and the perturbation modulation strategy of the modulator includes a combination of sine modulation and random modulation.
[0040] A modulator, connected to the laser source, for modulating the laser beam according to the perturbation modulation strategy. The modulator is an acousto-optic modulator, and the light intensity detector is a high-sensitivity photodiode array.
[0041] A scanning mirror for receiving the modulated laser beam and scanning it onto the target surface.
[0042] A light intensity detector for real-time monitoring of the light intensity in the edge region of the target surface.
[0043] A feedback control system, connected to the light intensity detector and the modulator, for adjusting the modulation parameters of the modulator according to the signal fed back by the light intensity detector. The control algorithm of the feedback control system includes a combination of a fuzzy control algorithm and an adaptive control algorithm. The fuzzy control algorithm is used for preliminary adjustment of the light intensity, and the adaptive control algorithm is used for precise adjustment of the light intensity. The feedback control system includes an analog-to-digital converter and a digital-to-analog converter for converting analog signals into digital signals and processing. The control algorithm is based on the following mathematical model:
[0044] I(t) = I0e -αt
[0045] where I(t) is the light intensity, I0 is the initial light intensity, α is the attenuation coefficient, and t is the time.
[0046] Among them, the feedback control system includes a high-speed response digital signal processor and an optimized control algorithm for improving the response speed of the system and solving the problem that the response speed of the feedback control system directly affects the real-time performance of light intensity adjustment. The frequency of sine modulation is between 1 kHz and 10 kHz, and the frequency of random modulation is between 10 Hz and 1 kHz. The conversion rates of the analog-to-digital converter and the digital-to-analog converter are high speed to ensure the real-time performance of the feedback control system. The clock frequency of the high-speed response digital signal processor is not less than 1 GHz.
[0047] 8. An edge light intensity adaptive laser scanning device and method based on a perturbation modulation strategy, including the following steps:
[0048] S1. The laser source generates a stable and high-intensity laser beam, and generates laser beams of different wavelengths and intensities to meet different scanning requirements.
[0049] S2. The laser beam passes through the modulator and is modulated using a perturbation modulation strategy. The modulator uses an acousto-optic modulator, which can accurately control the intensity and frequency of the laser beam. The perturbation modulation strategy combines sinusoidal modulation and random modulation. The frequency range of sinusoidal modulation is 1kHz to 10kHz, which is used to produce periodic light intensity changes. The frequency range of random modulation is 10Hz to 1kHz, which is used to introduce random light intensity changes and enhance the modulation effect.
[0050] S3. The modulated laser beam is accurately scanned by a scanning mirror to cover the target surface. The scanning mirror uses a two-dimensional galvanometer, which can flexibly adjust the direction of the laser beam on the X-axis and Y-axis to achieve full coverage of the target surface.
[0051] S4. The light intensity detector monitors the light intensity changes in the edge area of the target surface in real time. The light intensity detector is a high-sensitivity photodiode array that can quickly respond to tiny light intensity changes. The sampling frequency is not less than 100kHz to ensure that subtle light intensity changes are captured.
[0052] S5. The light intensity detector converts the monitored light intensity signal into a digital signal and transmits it to the feedback control system through an analog-to-digital converter. The high-speed analog-to-digital converter ensures the rapidity and accuracy of signal conversion. The high-speed response digital signal processor in the feedback control system processes the signal. The clock frequency of the DSP is not less than 1GHz to ensure the rapidity of signal processing.
[0053] S6. The feedback control system applies an optimized control algorithm, including a combination of a fuzzy control algorithm and an adaptive control algorithm. The fuzzy control algorithm is used to preliminarily adjust the light intensity and handle large changes in light intensity, while the adaptive control algorithm is used to accurately adjust the light intensity and handle subtle changes in light intensity.
[0054] S7. According to the light intensity signal processed by the feedback control system, the modulation parameters of the modulator are dynamically adjusted, and the modulation parameters include laser intensity, modulation frequency and phase, so as to realize adaptive control of light intensity.
[0055] S8. The feedback control system introduces a self-learning mechanism to predict and adjust the light intensity through a neural network model. The self-learning mechanism can continuously optimize the modulation parameters based on historical data and current light intensity signals to improve the accuracy and real-time performance of the adjustment.
[0056] S9. Monitor the effect of light intensity adjustment in real time, continuously optimize modulation parameters through continuous updating of feedback signals, convert signals through high-speed analog-to-digital converters and digital-to-analog converters, and ensure that the response time of the feedback control system does not exceed 1 microsecond.
[0057] Although embodiments of the present invention have been shown and described, those of ordinary skill in the art will appreciate that various changes, modifications, substitutions and variations can be made to these embodiments without departing from the principles and spirit of the present invention. The scope of the present invention is defined by the appended claims and their equivalents.
Claims
1. An edge light intensity adaptive laser scanning device based on a perturbation modulation strategy, characterized in that Comprising: A laser source for generating a laser beam; A modulator connected to the laser source for modulating the laser beam according to a perturbation modulation strategy; A scanning mirror for receiving the modulated laser beam and scanning it onto the target surface; An optical intensity detector for real-time monitoring of the optical intensity in the edge region of the target surface; A feedback control system connected to the optical intensity detector and the modulator for adjusting the modulation parameters of the modulator according to the signal fed back by the optical intensity detector; Wherein, the feedback control system includes a high-speed response digital signal processor and an optimized control algorithm for improving the response speed of the system and solving the problem that the response speed of the feedback control system directly affects the real-time performance of the optical intensity adjustment.
2. The edge light intensity adaptive laser scanning device based on a perturbation modulation strategy according to claim 1, characterized in that: The modulator is an acousto-optic modulator, and the optical intensity detector is a high-sensitivity photodiode array.
3. An edge light intensity adaptive laser scanning device based on a perturbation modulation strategy according to claim 1, characterized in that: The control algorithm of the feedback control system includes the combination of a fuzzy control algorithm and an adaptive control algorithm. The fuzzy control algorithm is used for preliminary adjustment of the optical intensity, and the adaptive control algorithm is used for precise adjustment of the optical intensity. The feedback control system includes an analog-to-digital converter and a digital-to-analog converter for converting analog signals into digital signals and processing them.
4. An edge light intensity adaptive laser scanning device based on a perturbation modulation strategy according to claim 1, characterized in that: The control algorithm is based on the following mathematical model: I(t) = I0e -αt Wherein, I(t) is the optical intensity, I0 is the initial optical intensity, α is the attenuation coefficient, and t is the time.
5. An edge light intensity adaptive laser scanning device based on a perturbation modulation strategy according to claim 1, characterized in that: The laser source is a tunable laser, the scanning mirror is a two-dimensional galvanometer, and the perturbation modulation strategy of the modulator includes the combination of sine modulation and random modulation.
6. The edge light intensity adaptive laser scanning device based on a perturbation modulation strategy according to claim 5, characterized in that: The frequency of the sine modulation is between 1 kHz and 10 kHz, and the frequency of the random modulation is between 10 Hz and 1 kHz.
7. An edge light intensity adaptive laser scanning device based on a perturbation modulation strategy according to claim 3, characterized in that: The conversion rates of the analog-to-digital converter and the digital-to-analog converter are high speed to ensure the real-time performance of the feedback control system, and the clock frequency of the high-speed response digital signal processor is not less than 1 GHz.
8. An edge light intensity adaptive laser scanning device and method based on a perturbation modulation strategy, characterized in that: Including the following steps: S1. The laser source generates a stable and high-intensity laser beam, generating laser beams with different wavelengths and intensities to adapt to different scanning requirements; S2. The laser beam passes through the modulator, and the perturbation modulation strategy is applied to modulate the laser beam. The modulator uses an acousto-optic modulator, which can precisely control the intensity and frequency of the laser beam. The perturbation modulation strategy combines sine modulation and random modulation. The frequency range of the sine modulation is 1 kHz to 10 kHz, which is used to generate periodic optical intensity changes, and the frequency range of the random modulation is 10 Hz to 1 kHz, which is used to introduce random optical intensity changes to enhance the modulation effect; S3. The modulated laser beam is precisely scanned by the scanning mirror to cover the target surface. The scanning mirror uses a two-dimensional galvanometer, which can flexibly adjust the direction of the laser beam on the X-axis and Y-axis to achieve full coverage of the target surface; S4. The optical intensity detector real-time monitors the optical intensity changes in the edge region of the target surface. The optical intensity detector is a high-sensitivity photodiode array, which can quickly respond to small optical intensity changes, and the sampling frequency is not less than 100 kHz to ensure capturing subtle optical intensity changes; S5. The light intensity detector converts the monitored light intensity signal into a digital signal and transmits it to the feedback control system through an analog-to-digital converter. The high-speed analog-to-digital converter ensures the rapidity and accuracy of signal conversion. The high-speed response digital signal processor in the feedback control system processes the signal. The clock frequency of the DSP is not less than 1 GHz to ensure the rapidity of signal processing. S6. The feedback control system applies an optimized control algorithm, including the combination of fuzzy control algorithm and adaptive control algorithm. The fuzzy control algorithm is used for preliminary adjustment of the light intensity to handle large light intensity changes, and the adaptive control algorithm is used for precise adjustment of the light intensity to handle subtle light intensity changes. S7. According to the light intensity signal processed by the feedback control system, the modulation parameters of the modulator are dynamically adjusted. The modulation parameters include laser intensity, modulation frequency, and phase to achieve adaptive control of the light intensity. S8. The feedback control system introduces a self-learning mechanism to predict and adjust the light intensity through a neural network model. The self-learning mechanism can continuously optimize the modulation parameters based on historical data and the current light intensity signal to improve the accuracy and real-time performance of the adjustment. S9. The effect of light intensity adjustment is monitored in real time. By continuously updating the feedback signal, the modulation parameters are continuously optimized. The signals are converted through a high-speed analog-to-digital converter and a digital-to-analog converter to ensure that the response time of the feedback control system does not exceed 1 microsecond.