A time-modulated high-voltage pulse power generator and a time-modulated method thereof
Through the innovative design of the time-modulated high-voltage pulse power generator, the voltage fluctuation problem of traditional high-voltage pulse power generators under nonlinear loads is solved, achieving fast response and high load adaptability. It is suitable for nonlinear impedance load testing and engineering applications of modern high-voltage pulse power technology.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- Filing Date
- 2025-04-21
- Publication Date
- 2026-04-14
AI Technical Summary
Traditional high-voltage pulse power generators suffer from problems such as voltage overshoot and flat-top ripple when driving nonlinear loads, and their load adaptability and efficiency are insufficient, making it difficult to meet the needs of modern high-voltage pulse power technology.
A time-modulated high-voltage pulse power generator is adopted. By combining a charging unit, an energy storage unit, a trigger control unit, a switching unit, an output status diagnosis unit, and a time-modulated control unit, it achieves fast waveform response and efficient load adaptability. It uses a fuzzy-PID hybrid controller and a neural network model to predict load impedance changes and optimize the drive signal delay of the switching devices.
It achieves fast response and efficient modulation to nonlinear impedance loads, improves the system's flexibility and scalability and power parameter control efficiency, and is suitable for load testing and engineering implementation with high-quality waveform requirements.
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Figure CN120454687B_ABST
Abstract
Description
Technical Field
[0001] This invention relates to the field of high-voltage pulse power technology, specifically to a timing-modulated high-voltage pulse power generator and its timing modulation method. Background Technology
[0002] With the rapid development of high-voltage pulse power technology, traditional high-voltage pulse power supplies face challenges in terms of output efficiency, load adaptability, and scalability. Existing technologies, such as voltage superposition direct output schemes, can achieve rapid waveform changes, but their efficiency decreases at high voltage outputs; while schemes using complex converters have limited load adaptability and increased system complexity.
[0003] Furthermore, the output characteristics of a traditional high-voltage pulse power generator are determined by the impedance of the load. If the impedance is constant, the output current will have an ideal waveform with a steep rise, a wide flat top, and a fast fall. If the impedance changes over time, such as with microwave sources or pump light sources, the current will exhibit a state of local abrupt change, affecting the energy conversion efficiency of the load and the lifespan of key components of the pulse power generator.
[0004] Therefore, there is an urgent need for a new type of high-voltage pulse power generator that can perform efficient and stable timing modulation for nonlinear impedance load characteristics. Summary of the Invention
[0005] To address the issues of voltage overshoot and flat-top fluctuations that occur when high-voltage pulse power generators drive nonlinear loads, this invention provides a timing-modulated high-voltage pulse power generator and its timing modulation method. This generator features fast waveform response, high efficiency, high reliability, excellent load adaptability, and flexible expansion capabilities to meet the needs of modern high-voltage pulse power technology in nonlinear impedance load testing and engineering implementation.
[0006] The first aspect of the present invention provides a timing-modulated high-voltage pulse power generator, comprising a charging unit, an energy storage unit, a trigger control unit, a switching unit, an output status diagnostic unit, and a timing modulation control unit; wherein:
[0007] The charging unit is used to provide primary electrical energy input to the energy storage unit;
[0008] An energy storage unit, connected to a load, comprises multiple energy storage elements connected in series.
[0009] The switching unit includes multiple switching devices, each corresponding to an energy storage element. It is controlled by a trigger control unit and is used to release the energy of the corresponding energy storage element to output a pulse of the first voltage to the load.
[0010] The trigger control unit, connected to the timing modulation control unit, is used to send action commands to the switching unit to control each switching device;
[0011] The output status diagnostic unit includes an output current detection module and a load voltage detection module, which are used to collect the load current and voltage in real time.
[0012] A timing modulation control unit, connected to the output status diagnostic unit, is used to generate a segmented switching delay triggering control strategy based on the current and voltage feedback from the output status diagnostic unit. Specifically, this includes:
[0013] In the initial stage, the minimum delay mode is first used to drive the switching device so that the load voltage quickly reaches the set threshold. Then, the progressive delay compensation algorithm is started so that the load voltage reaches the target voltage. The set threshold is less than the target voltage.
[0014] During the flat-top phase, based on the current change rate and the difference between the actual voltage and the target voltage, the fuzzy-PID hybrid controller outputs a delay in the switching device drive signal. At the same time, it combines a neural network model to predict the load impedance change trend and adjusts the integral coefficient of the PID according to the load impedance change trend. Finally, based on the adjusted integral coefficient, it outputs a delay in the switching device drive signal.
[0015] In some embodiments, the charging unit is a series resonant charging unit that supplies energy to the energy storage unit through an isolation transformer or a DC-DC converter; the energy storage element is a capacitor or a supercapacitor; and the switching device is an IGBT or a MOSFET device.
[0016] In some embodiments, the trigger control unit supports delayed triggering of multiple switching devices, overall synchronous triggering, or partial synchronous triggering.
[0017] In some embodiments, a minimum delay mode is used to drive the switching device so that the load voltage quickly reaches a set threshold, including:
[0018] Determine the set threshold based on the target voltage;
[0019] Based on the first voltage and the set threshold, determine the number of switching devices to close, and drive the corresponding number of switching devices to close, so that the load voltage quickly reaches the set threshold.
[0020] In some embodiments, the threshold is set to 85%-90% of the target voltage.
[0021] In some embodiments, initiating a progressive delay compensation algorithm to bring the load voltage to a target voltage includes:
[0022] The driving signal delay is increased in increments of 5-15ns per step, and the switching devices are closed one by one according to the delay until the load voltage reaches the target voltage.
[0023] In some of these embodiments, the step size is 0.1-10 μs.
[0024] In some embodiments, based on the rate of change of current and the difference between the actual voltage and the target voltage, the output switching device drive signal is delayed by a fuzzy-PID hybrid controller, including:
[0025] Construct a fuzzy-PID hybrid controller;
[0026] The three parameters of the PID controller are dynamically adjusted using fuzzy logic and certain fuzzy rules, with the current change rate and the difference between the actual voltage and the target voltage as inputs.
[0027] Based on the adjusted PID output switching device drive signal delay, the switching devices are closed one by one according to the delay.
[0028] In some embodiments, a neural network model is used to predict the load impedance change trend, and the integral coefficient of the PID controller is adjusted according to the load impedance change trend. Finally, the delay of the switching device drive signal is output based on the adjusted integral coefficient, including:
[0029] The neural network model is used to predict the impedance change trend of the load over a period of time. If the impedance continues to decrease, the integral coefficient of the PID is increased; conversely, if the impedance continues to increase, the integral coefficient of the PID is decreased.
[0030] Based on the adjusted PID output switching device drive signal delay, the switching devices are closed one by one according to the delay.
[0031] According to a second aspect of the present invention, a timing modulation method is provided, applied to a timing modulation high-voltage pulse power generator as described in any one of the first aspects, the method comprising:
[0032] Connect the load to the energy storage unit and use the charging unit to power the energy storage unit;
[0033] The minimum delay mode is used to drive the switching device so that the load voltage quickly reaches the set threshold, and then the progressive delay compensation algorithm is started so that the load voltage reaches the target voltage.
[0034] Based on the rate of change of current and the difference between the actual voltage and the target voltage, the fuzzy-PID hybrid controller outputs a delay in the drive signal of the switching device. At the same time, it combines a neural network model to predict the trend of load impedance change and adjusts the integral coefficient of the PID according to the trend of load impedance change. Finally, the drive signal of the switching device is output based on the adjusted integral coefficient.
[0035] In summary, compared with the prior art, the above-described technical solutions conceived by this invention can achieve the following beneficial effects:
[0036] (1) Fast response: It meets the requirements for rapid waveform changes and is especially suitable for nonlinear impedance load testing with high waveform quality requirements;
[0037] (2) Flexible expansion: The modular design makes the system easy to expand, and the number of stages can be flexibly increased or decreased according to actual needs to meet the requirements of different power levels;
[0038] (3) High efficiency: By optimizing the timing control strategy and independent energy storage design, the power parameter control efficiency is significantly improved, avoiding a complex and redundant power design process. Attached Figure Description
[0039] Figure 1 A schematic diagram of a timing-modulated high-voltage power generator provided in an embodiment of this application;
[0040] Figure 2 This application provides a flowchart of data transmission and control for a timing-modulated high-voltage power generator.
[0041] In the diagram: 1-Charging unit, 2-Energy storage unit, 3-Trigger control unit, 4-Switching unit, 5-Output status diagnostic unit, 6-Output current detection module, 7-Load voltage detection module, 8-Timing modulation control unit. Detailed Implementation
[0042] To make the objectives, technical solutions, and advantages of this invention clearer, the invention will be further described in detail below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are merely illustrative and not intended to limit the invention. All other embodiments obtained by those skilled in the art based on the embodiments provided in this application without inventive effort are within the scope of protection of this invention.
[0043] Obviously, the accompanying drawings described below are merely some examples or embodiments of this application. Those skilled in the art can apply this application to other similar scenarios based on these drawings without any inventive effort. Furthermore, it is understood that although the efforts made in this development process may be complex and lengthy, for those skilled in the art related to the content disclosed in this application, any changes to design, manufacturing, or production based on the technical content disclosed in this application are merely conventional technical means and should not be construed as insufficient disclosure of the content of this application.
[0044] In this application, the reference to "embodiment" means that a specific feature, structure, or characteristic described in connection with an embodiment may be included in at least one embodiment of this application. The appearance of this phrase in various places in the specification does not necessarily refer to the same embodiment, nor is it a separate or alternative embodiment that is mutually exclusive with other embodiments. It will be explicitly and implicitly understood by those skilled in the art that the embodiments described in this application may be combined with other embodiments without conflict.
[0045] Unless otherwise defined, the technical or scientific terms used in this application shall have the ordinary meaning understood by one of ordinary skill in the art to which this application pertains. The terms “a,” “an,” “an,” “the,” and similar words used in this application do not indicate quantity limitation and may indicate singular or plural. The terms “comprising,” “including,” “having,” and any variations thereof used in this application are intended to cover non-exclusive inclusion; for example, a process, method, system, product, or device that includes a series of steps or modules (units) is not limited to the listed steps or units, but may also include steps or units not listed, or may include other steps or units inherent to these processes, methods, products, or devices. The terms “connected,” “linked,” “coupled,” and similar words used in this application are not limited to physical or mechanical connections, but may include electrical connections, whether direct or indirect. “Multiple” used in this application refers to two or more. “And / or” describes the relationship between related objects, indicating that three relationships may exist; for example, “A and / or B” can represent: A alone, A and B simultaneously, and B alone. The character " / " generally indicates that the preceding and following objects are in an "or" relationship. The terms "first," "second," and "third" used in this application are merely to distinguish similar objects and do not represent a specific ordering of the objects.
[0046] This application provides a timing-modulated high-voltage pulse power generator, specifically a voltage superposition high-voltage pulse power generator using timing modulation technology, designed specifically for nonlinear impedance load characteristics, and suitable for load characteristic testing and high-efficiency engineering implementation scenarios.
[0047] like Figure 1 and Figure 2 As shown, the timing-modulated high-voltage power generator proposed in this application includes a charging unit 1, an energy storage unit 2, a trigger control unit 3, a switching unit 4, an output status diagnosis unit 5, a timing debugging unit 8, etc.
[0048] Specifically, an output status diagnostic unit 5 is deployed in the high-voltage pulse power generator. The output status of the power supply under each pulse is determined by the output current feedback and load voltage feedback. Closed-loop regulation is achieved through timing modulation control to control key parameters such as the current rise rate and flat-top stability of the high-voltage pulse power generator.
[0049] Compared to traditional high-voltage pulse power generators, it can flexibly adjust the waveform for different impedances, effectively obtain pulse loop characteristics, and is suitable for applications with high requirements for load current characteristics.
[0050] like Figure 1 As shown, based on the timing modulation method of this application, the high-voltage pulse power generator requires basic hardware components. Specifically, the charging unit 1 provides primary energy to the energy storage unit 2, and the energy in the energy storage unit 2 is discharged and output under the control of the switching unit 4. The operation of the switching unit 4 is controlled by commands issued by the trigger control unit 3.
[0051] like Figure 2 As shown, the charging unit 1, energy storage unit 2, and switching unit 4 are in a transmission relationship to realize the basic output of pulse energy. The output state diagnosis unit 5 is the back-end detection module of the switching unit 4, specifically including the output current detection module 6 and the load voltage detection module 7. The data of the output state diagnosis unit 5 is transmitted to the timing modulation control unit 8 to realize real-time feedback on the output state. Through the generation of the control strategy by the timing modulation control unit 8, the trigger control unit 3 realizes the control of the output state.
[0052] Specifically, the charging unit 1 is used to provide primary electrical energy input to the energy storage unit 2, and can be in the form of a series resonant charging unit.
[0053] Energy storage unit 2 is an energy storage module for pulse energy output, which can be in the form of a capacitor or a supercapacitor.
[0054] The trigger control unit 3 is a device that provides action signals to the switching unit 4. It is controlled by the output status diagnosis unit 5. Specifically, it can trigger dozens or hundreds of switching units one by one with a delay, or trigger them synchronously as a whole, or trigger them synchronously in part, so as to achieve flexible control of the action of the multi-level switching unit 4.
[0055] Switching unit 4 can be in the form of an IGBT or MOSFET device, or other types of fully controlled or semi-controlled switching devices. It turns on or off under the command of the trigger control unit to achieve pulse current output.
[0056] The output status diagnostic unit 5 specifically includes an output current detection module 6 and a load voltage detection module 7. It analyzes the load impedance and the output status of the high-voltage power generator by comprehensively judging the output voltage and current status.
[0057] The output current detection module 6, specifically in the form of an inductive current sensor, is used to determine the output current state.
[0058] The load voltage detection module 7, specifically, can be a resistive-capacitive voltage divider sensor, used to determine changes in load voltage.
[0059] The timing modulation control unit 8 is specifically a data processing unit. It uses data from the output current detection module 6 and the load voltage detection module 7 to obtain the change state of the load impedance with the source excitation, and forms a timing strategy for trigger control. It obtains the law of transient change of load state through deep learning, historical parameter matching and other methods, and adjusts the load voltage loading state by the turn-on delay time of each switching device in the switching unit 4.
[0060] The working process for this application is as follows:
[0061] By constructing multi-stage voltage superposition units, each unit contains an energy storage element (typically a capacitor or supercapacitor) and a switching device (typically an IGBT or MOSFET). These units are connected in series to achieve the required high-voltage output. Each stage of the voltage superposition unit is connected in series through a high-voltage isolation circuit, ensuring that the output voltage of each stage can be superimposed without mutual interference. Each voltage superposition unit has an independent charging circuit, and the power supply provides charging for each unit through an isolation transformer or DC-DC converter, ensuring that the charging process of each stage does not interfere with each other, thus improving the stability and efficiency of the system.
[0062] The timing control unit designs an independent timing control module for each voltage superposition unit, capable of monitoring the status of each unit in real time and controlling its switching operation. Typically, high-precision timers or FPGAs (Field-Programmable Gate Arrays) are used to achieve synchronization between units at each stage, ensuring that the switches are activated in a predetermined sequence at a predetermined time. By optimizing the rise and fall times of the switch drive signals, the on and off states of each unit are controlled, ensuring rapid response on both the rising and falling edges of the output pulse. Furthermore, pulse width modulation can be achieved by adjusting the switch on-time to meet different load requirements. Based on real-time monitored load characteristics (typically impedance changes), dynamic feedback-based timing modulation technology is employed to achieve adaptive and precise control of the drive signal.
[0063] Specifically, the timing modulation control unit 8 obtains real-time parameters of the pulse waveform through the output state diagnosis unit 5 and constructs a closed-loop feedback mechanism: when an overshoot phenomenon is detected at the leading edge of the output pulse, the segmented leading edge shaping strategy is implemented by dynamically adjusting the drive signal delay parameter of the switching unit: in the initial stage of the pulse, the minimum delay mode (typical value <50ns) is used to achieve rapid ramp-up; when the output voltage reaches 85%-90% of the target voltage, the progressive delay compensation algorithm is started, and the driving delay is driven by a gradient increase of 5-15ns per microsecond, which effectively suppresses the overshoot oscillation in the flat-top stage of the pulse, realizes closed-loop control, and ensures that the output pulse is highly matched with the load characteristics.
[0064] Specifically, a set threshold can be determined based on the 85%-90% range of the target voltage. Then, the number of switching devices required to close in the minimum delay mode is calculated based on the first voltage of each energy storage element. The corresponding number of switching devices are then driven to close, allowing the load voltage to quickly reach the set threshold. A progressive delay compensation algorithm is then activated, driving the delay in increments of 5-15 ns per microsecond. For example, in the first time step, a switching device closes with a 5 ns delay, and the load voltage is then detected to determine if it has reached the target voltage. If it has not reached the target voltage, another switching device closes with a 6 ns delay in the next time step, and the load voltage is monitored again until the load voltage reaches the target voltage.
[0065] During the flat-top phase, based on the current change rate and the difference between the actual voltage and the target voltage, the fuzzy-PID hybrid controller outputs a delay in the switching device drive signal. At the same time, it combines a neural network model to predict the load impedance change trend and adjusts the integral coefficient of the PID according to the load impedance change trend. Finally, based on the adjusted integral coefficient, it outputs a delay in the switching device drive signal.
[0066] This application also provides a timing modulation method, namely a high-order control method for controlling voltage rise, applied to the timing modulation high-voltage pulse power generator in the above-described device embodiment, and implemented through hardware and software. This timing modulation method employs a dynamic segmented delay control strategy, and establishes a leading-edge-flat-top two-stage control model by real-time acquisition of pulse waveform parameters through the output state diagnostic unit 5.
[0067] ① In the leading-edge stage, the switching device is driven with minimal delay, and then a progressive delay compensation algorithm (adjustable step size δ = 0.1-10μs) is used to achieve rapid pulse establishment;
[0068] ② An adaptive delay compensation mechanism is introduced during the flat-top phase. A fuzzy-PID hybrid controller is constructed based on real-time waveform feature extraction (including di / dt change rate and voltage overshoot). The fuzzy controller takes di / dt change rate and the difference between the target and actual voltage as input parameters, outputs dynamic weights for the PID parameters, and then adjusts the delay of the drive signal. Following this delay, a switching device is closed, achieving rapid overshoot suppression. This adaptive delay compensation mechanism also includes flat-top stability control: combining an LSTM neural network to predict the load impedance change trend and dynamically adjusting the switch trigger delay (adjustment accuracy ±50ns). The LSTM neural network can take historical impedance time-series data, environmental parameters, and real-time load status as input parameters, outputting a predicted load impedance value. Trend compensation suggestions are then made: if the impedance continues to decrease, the integral coefficient of the PID controller is increased; conversely, if the impedance continues to increase, the integral coefficient of the PID controller is decreased, achieving trend prediction and long-term optimization. The three-level compensation architecture (basic delay → real-time fine-tuning → trend prediction) achieves an overshoot suppression rate of >90% and a flat-top stability of <1.2%, enabling precise waveform control of the entire pulse cycle at a response speed of 100ns.
[0069] It should be noted that the input parameters of the neural network are not limited to those proposed in this application. Furthermore, the output of the fuzzy controller consists of the three parameters of the PID controller, dynamically adjusting the coefficients Kp, Ki, and Kd, then performing trend compensation to adjust the integral coefficients, and finally outputting the final delay based on the PID controller.
[0070] Example: Plasma load pulse drive
[0071] Load characteristics: The impedance drops sharply from 10kΩ to 200Ω during the pulse.
[0072] Controller response: At the moment of arc breakdown (sudden increase in di / dt) → fuzzy rule enhances the differential term, and the drive signal delay is shortened by 20ns;
[0073] Impedance continues to decrease during the flat-top phase: LSTM predicts the trend over the next 20μs, and PID increases the weight of the integral term in advance;
[0074] Final results: Voltage overshoot was reduced from 15% to 1.8% using traditional methods, and pulse width stability reached 99.5%.
[0075] In summary, timing modulation control provides a new control strategy for multi-stage high-voltage pulse power generators, innovatively solving the problem of voltage fluctuations when driving nonlinear loads, and providing a solution for the design of new pulse power supplies.
[0076] It should be noted that the technical features of the above embodiments can be combined arbitrarily. For the sake of brevity, not all possible combinations of the technical features in the above embodiments have been described. However, as long as the combination of these technical features does not contradict each other, it should be considered within the scope of this specification. In addition, depending on the implementation needs, the various steps / components described in this application can be broken down into more steps / components, or two or more steps / components or parts of steps / components can be combined into new steps / components to achieve the purpose of this invention.
[0077] It will be readily understood by those skilled in the art that the above-described embodiments merely illustrate several implementation methods of this application, and while the descriptions are relatively specific and detailed, they should not be construed as limiting the scope of the invention patent. It should be noted that those skilled in the art can make various modifications and improvements without departing from the concept of this application, and these all fall within the protection scope of this application. Therefore, the protection scope of this patent application should be determined by the appended claims.
Claims
1. A time-modulated high-voltage pulse power generator, characterized in that, It includes a charging unit, an energy storage unit, a trigger control unit, a switching unit, an output status diagnostic unit, and a timing modulation control unit; wherein: The charging unit is used to provide primary electrical energy input to the energy storage unit; An energy storage unit, connected to a load, comprises multiple energy storage elements connected in series. The switching unit includes multiple switching devices, each corresponding to an energy storage element. It is controlled by a trigger control unit and is used to release the energy of the corresponding energy storage element to output a pulse of the first voltage to the load. The trigger control unit, connected to the timing modulation control unit, is used to send action commands to the switching unit to control each switching device; The output status diagnostic unit includes an output current detection module and a load voltage detection module, which are used to collect the load current and voltage in real time. A timing modulation control unit, connected to the output status diagnostic unit, is used to generate a segmented switching delay triggering control strategy based on the current and voltage feedback from the output status diagnostic unit. Specifically, this includes: In the initial stage, the minimum delay mode is first used to drive the switching device so that the load voltage quickly reaches the set threshold. Then, the progressive delay compensation algorithm is started so that the load voltage reaches the target voltage. The set threshold is less than the target voltage. During the flat-top phase, based on the current change rate and the difference between the actual voltage and the target voltage, the fuzzy-PID hybrid controller outputs a delay in the switching device drive signal. At the same time, it combines a neural network model to predict the load impedance change trend and adjusts the integral coefficient of the PID according to the load impedance change trend. Finally, based on the adjusted integral coefficient, it outputs a delay in the switching device drive signal.
2. The timing-modulated high-voltage pulse power generator according to claim 1, characterized in that, The charging unit is a series resonant charging unit, which supplies energy to the energy storage unit through an isolation transformer or a DC-DC converter; the energy storage element is a capacitor or a supercapacitor; the switching device is an IGBT or a MOSFET device.
3. The timing-modulated high-voltage pulse power generator according to claim 1, characterized in that, The trigger control unit supports individual delayed triggering, overall synchronous triggering, or partial synchronous triggering of multiple switching devices.
4. The timing-modulated high-voltage pulse power generator according to claim 1, characterized in that, Using a minimum delay mode to drive switching devices enables the load voltage to quickly reach a set threshold, including: Determine the set threshold based on the target voltage; Based on the first voltage and the set threshold, determine the number of switching devices to close, and drive the corresponding number of switching devices to close, so that the load voltage quickly reaches the set threshold.
5. The timing-modulated high-voltage pulse power generator according to claim 1 or 4, characterized in that, Set the threshold to 85%-90% of the target voltage.
6. The timing-modulated high-voltage pulse power generator according to claim 1, characterized in that, The progressive delay compensation algorithm is activated to bring the load voltage to the target voltage, including: The driving signal delay is increased in increments of 5-15ns per step, and the switching devices are closed one by one according to the delay until the load voltage reaches the target voltage.
7. The timing-modulated high-voltage pulse power generator according to claim 6, characterized in that, The step size is 0.1-10 μs.
8. The timing-modulated high-voltage pulse power generator according to claim 1, characterized in that, Based on the rate of change of current and the difference between the actual voltage and the target voltage, the delay of the output switching device drive signal by the fuzzy-PID hybrid controller includes: Construct a fuzzy-PID hybrid controller; The three parameters of the PID controller are dynamically adjusted using fuzzy logic and certain fuzzy rules, with the current change rate and the difference between the actual voltage and the target voltage as inputs. Based on the adjusted PID output switching device drive signal delay, the switching devices are closed one by one according to the delay.
9. The timing-modulated high-voltage pulse power generator according to claim 1, characterized in that, The load impedance change trend is predicted by combining a neural network model, and the integral coefficient of the PID controller is adjusted according to the load impedance change trend. Finally, the delay of the output switching device drive signal is based on the adjusted integral coefficient, including: The neural network model is used to predict the impedance change trend of the load over a period of time. If the impedance continues to decrease, the integral coefficient of the PID is increased; conversely, if the impedance continues to increase, the integral coefficient of the PID is decreased. Based on the adjusted PID output switching device drive signal delay, the switching devices are closed one by one according to the delay.
10. A timing modulation method, applied to the timing modulation high-voltage pulse power generator according to any one of claims 1 to 9, characterized in that, The method includes: Connect the load to the energy storage unit and use the charging unit to power the energy storage unit; The minimum delay mode is used to drive the switching device so that the load voltage quickly reaches the set threshold, and then the progressive delay compensation algorithm is started so that the load voltage reaches the target voltage. Based on the rate of change of current and the difference between the actual voltage and the target voltage, the fuzzy-PID hybrid controller outputs a delay in the drive signal of the switching device. At the same time, it combines a neural network model to predict the trend of load impedance change and adjusts the integral coefficient of the PID according to the trend of load impedance change. Finally, the drive signal of the switching device is output based on the adjusted integral coefficient.
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