Power supply control method and system of X-ray generating device

Abstract

The invention relates to the technical field of power supply control, in particular to a power supply control method and system of an X-ray generating device. According to the method, working state parameters of an X-ray tube are detected in real time, and corresponding voltage / current deviation correction is generated according to a preset voltage-current characteristic curve; dynamically adjusting the driving frequency of the high-frequency inverter based on the voltage / current deviation correction, and collecting the ripple characteristic quantity fed back by the output end of the power supply to form a closed-loop correction factor; carrying out coupling analysis on the closed-loop correction factor and the X-ray tube cathode emission current change rate; reconstructing a trigger time sequence graph of the power switch device according to the phase compensation instruction, and synchronously injecting thermodynamic parameters of a pipe body to carry out duty ratio secondary correction; and generating a multi-parameter cooperative control instruction by iteratively optimizing the matching relationship between the trigger time sequence map and the duty ratio correction value. The self-adaptive precise adjustment of the power supply system is realized, so that the X-ray tube can obtain optimized power supply under different working conditions.

Description

Technical Field

[0001] The present invention relates to the technical field of power supply control, and in particular to a power supply control method and system for an X-ray generating device. Background Art

[0002] With the widespread application of X-ray imaging technology, higher requirements are placed on the power control accuracy and dynamic response capability of X-ray generators. Traditional power control methods mostly use open-loop voltage and current regulation mechanisms, which have technical bottlenecks such as response lag and low parameter matching. Especially under transient conditions, it is easy to cause X-ray tube cathode emission current fluctuations, resulting in increased tube voltage ripple and decreased focus stability. Although the existing technology attempts to introduce PID feedback regulation, it has not effectively solved the nonlinear coupling problem between the high-frequency inverter drive characteristics and the load dynamic characteristics. In addition, during long-term operation, the thermal electron emission effect caused by the temperature rise of the power device will significantly change the equivalent impedance characteristics of the X-ray tube, causing the preset working curve to shift. In addition, conventional pulse width modulation strategies often ignore the correlation between the ripple spectrum characteristics and the switching timing, resulting in limited electromagnetic interference suppression effects. These problems jointly restrict the precise control of the X-ray output dose, affect the imaging resolution and accelerate the aging of the tube body. Therefore, it is urgent to build an intelligent control system that integrates real-time interaction of multi-physical field parameters, and achieve deep adaptation of power supply characteristics and X-ray tube working states through a dynamic compensation mechanism, thereby improving the system energy efficiency and output stability. Summary of the invention

[0003] The present invention overcomes the deficiencies of the prior art and provides a power supply control method and system for an X-ray generating device.

[0004] To achieve the above-mentioned purpose, the technical solution adopted by the present invention is: The first aspect of the present invention discloses a power supply control method for an X-ray generating device, comprising the following steps: Real-time detection of X-ray tube working state parameters, and generation of corresponding voltage / current deviation correction according to the preset voltage-current characteristic curve; Dynamically adjusting the driving frequency of the high-frequency inverter based on the voltage / current deviation correction amount, and collecting the ripple characteristic amount fed back from the power output end to form a closed-loop correction factor; The closed-loop correction factor is coupled with the rate of change of the cathode emission current of the X-ray tube to generate a phase compensation instruction of the pulse width modulation signal; Reconstructing the trigger timing diagram of the power switch device according to the phase compensation instruction, and synchronously injecting the thermodynamic parameters of the tube body to perform secondary correction of the duty cycle; By iteratively optimizing the matching relationship between the trigger timing spectrum and the duty cycle correction value, a multi-parameter coordinated control instruction is generated.

[0005] Preferably, the working state parameters of the X-ray tube are detected in real time, and the corresponding voltage / current deviation correction amount is generated according to the preset voltage-current characteristic curve, specifically: Parallel data acquisition is performed on the anode voltage and cathode current of the X-ray tube, and the high-frequency noise components in the time domain response waveform are filtered out by a dynamic noise suppression method; The filtered voltage-current parameters are compared point by point with the segmented slope of the preset voltage-current characteristic curve, and the abnormal fluctuation segments exceeding the tolerance interval are extracted and marked as characteristic spectra; The amplitude difference and duration of adjacent fluctuation segments in the characteristic spectrum are nonlinearly weighted to generate a composite deviation signal containing phase shift information; Based on the energy distribution characteristics of the composite deviation signal, the pattern recognition classifier is used to classify the deviation types into three categories: transient overshoot, steady-state offset and harmonic oscillation, and the corresponding error type labels are output; Different compensation strategies are selected according to the error type label; among them, the transient overshoot adopts the fast suppression strategy, the steady-state offset adopts the gradual adjustment strategy, and the harmonic oscillation adopts the phase synchronization correction strategy; Based on the selected compensation strategy, the reference value of the preset voltage-current characteristic curve is adjusted in real time to generate new reference parameters; The difference between the new reference parameter and the actual detected value of the anode voltage / cathode current is used as the voltage / current deviation correction amount.

[0006] Preferably, the driving frequency of the high-frequency inverter is dynamically adjusted based on the voltage / current deviation correction amount, and the ripple characteristic amount fed back from the power output end is collected to form a closed-loop correction factor, specifically: Map the voltage / current deviation correction amount to the initial adjustment amount of the driving frequency, and synchronously collect the time domain ripple waveform at the output end of the high-frequency inverter; Performing time-frequency ridgeline tracing on the time-domain ripple waveform, extracting the fundamental wave deviation of the ripple component and the energy density distribution of the harmonic clustering interval, and constructing a ripple feature vector including amplitude-frequency coupling characteristics; Based on the energy density distribution of the ripple characteristic vector, the conduction loss trend of the inverter switch device is analyzed to generate a ripple suppression weight coefficient linked to the driving frequency adjustment amount; The ripple suppression weight coefficient and the initial adjustment amount are input into the dynamic coupler, and the transient compensation gradient and the steady-state offset compensation amount of the driving frequency are determined according to the amplitude-phase compensation rule of the inverter's current working mode switching; The transient compensation gradient and the steady-state offset compensation amount are fused according to a preset fusion ratio, and then a closed-loop correction factor with time-varying characteristics is generated after phase synchronization calibration.

[0007] Preferably, the closed-loop correction factor is coupled with the rate of change of the cathode emission current of the X-ray tube to generate a phase compensation instruction of the pulse width modulation signal, specifically: The dynamic correlation matrix between the closed-loop correction factor and the cathode emission current change rate is established, and the phase lag characteristics of the two in the time domain are extracted through cross-correlation analysis. Based on the phase lag characteristics, the cathode current change rate waveform is subjected to piecewise smoothing processing to generate a current modulation coefficient with a time-varying gain characteristic; The current modulation coefficient and the closed-loop correction factor are input into a nonlinear coupler, and a corresponding coupling weight allocation strategy is selected according to the current working mode of the X-ray tube to determine the fundamental phase offset of the pulse width modulation signal; wherein the working mode includes a continuous exposure mode and a pulse modulation mode; The pulse duty cycle distribution within the switching period is inverted by the fundamental phase offset, and a phase compensation instruction including leading edge compensation and trailing edge delay is generated in combination with the preset dead time constraint.

[0008] Preferably, a corresponding coupling weight allocation strategy is selected according to the current working mode of the X-ray tube to determine the fundamental wave phase offset of the pulse width modulation signal, specifically: Establish an X-ray tube working mode recognition module to determine whether it is currently in continuous exposure mode or pulse modulation mode by analyzing the duty cycle characteristics and rising edge slope of the cathode emission current; In the continuous exposure mode, the closed-loop correction factor and the current change rate are weighted averaged to generate a coupling weight coefficient dominated by steady-state accuracy. In the pulse modulation mode, the peak interval of the current change rate and the mutation point of the closed-loop correction factor are extracted and dynamically matched to generate a coupling weight coefficient dominated by fast tracking. The coupling weight coefficient is input into a phase offset calculator, and the trend of the fundamental phase deviation is fitted by the least square method in the continuous exposure mode, while the phase jump point of the dominant harmonic is captured by the peak locking method in the pulse modulation mode; Finally, the fundamental phase offset of the pulse width modulation signal is output based on the selected calculation mode; the offset in the continuous exposure mode is used to correct the steady-state waveform distortion, and the offset in the pulse modulation mode is used to compensate for the phase lag during fast switching.

[0009] Preferably, the trigger timing diagram of the power switch device is reconstructed according to the phase compensation instruction, and the thermodynamic parameters of the tube body are synchronously injected to perform secondary correction of the duty cycle, specifically: The phase compensation instruction is input into the timing reconstruction engine, and the on-phase reference point and the off-phase reference point of the power switch device are separated by the pulse width-phase decoupling method to generate the initial trigger timing spectrum; Synchronously collect the temperature gradient distribution data of the X-ray tube body and calculate the heat dissipation efficiency coefficient of each area of ​​the tube body, and map the heat dissipation efficiency coefficient of each area of ​​the tube body to the maximum allowable duty cycle attenuation gradient; The initial trigger timing spectrum and the maximum duty cycle attenuation gradient are input into the dynamic constraint optimizer, and the conduction phase reference point is temperature-adaptively adjusted using a thermal-electric coupling algorithm to generate an optimized trigger timing with thermal protection characteristics. According to the ratio of the tube body temperature change rate to the preset thermal time constant, the delay compensation amount of the shutdown phase reference point is dynamically adjusted, and then the duty cycle parameter of the initial trigger timing spectrum is combined to generate a temperature-adaptive duty cycle correction value; The duty cycle correction value and the turn-off phase reference point are reintegrated to form a trigger timing diagram after secondary correction.

[0010] Preferably, a multi-parameter coordinated control instruction is generated by iteratively optimizing the matching relationship between the trigger timing spectrum and the duty cycle correction value, specifically: A dynamic correlation matrix between the trigger timing spectrum and the duty cycle correction value is established, and the collaborative matching degree between the two in the time domain is analyzed through a multi-objective optimization algorithm to generate an initial collaborative control parameter set; Synchronously collecting the output X-ray intensity of the X-ray tube, and extracting the sensitivity coefficients of the output X-ray intensity and various control parameters; The sensitivity coefficient is input into an adaptive weight allocator to dynamically adjust the weight ratio of the trigger timing and the duty cycle in the control model according to the current working stage; Based on the historical control effect data, the initial cooperative control parameter set is optimized online to generate a parameter correction vector with time-varying characteristics; The parameter correction vector is injected into the fuzzy inference engine, and combined with the boundary conditions of tube temperature and cathode current change rate, a multi-parameter collaborative control instruction is generated.

[0011] Preferably, the initial cooperative control parameter set is optimized online based on the historical control effect data to generate a parameter correction vector with time-varying characteristics, specifically: Establish a historical control effect database to store multi-dimensional historical operation data including X-ray intensity stability indicators, power efficiency parameters and tube body thermodynamic state; Dynamically weight the multi-dimensional historical operation data to form a time-sensitive feature vector, which is then input into the parameter sensitivity analyzer to determine the weight of each collaborative control parameter on system performance. Generate a parameter optimization priority sequence based on the impact weights, and use a progressive adjustment strategy to perform targeted optimization on high-priority parameters; The optimization results are compared with the real-time system feedback, and the adjustment step and direction of the parameter correction vector are dynamically updated to finally generate a correction vector containing time-varying characteristic parameters.

[0012] Preferably, the parameter correction vector is injected into the fuzzy inference engine, and the multi-parameter coordinated control instructions are generated in combination with the boundary conditions of the tube body temperature and the cathode current change rate, specifically: Input the parameter correction vector into the fuzzy controller and convert it into a standardized fuzzy variable; At the same time, the temperature distribution of the tube body and the change rate of the cathode current are monitored in real time, and the allowable working range is generated through the boundary condition detection circuit; The fuzzy variables and the allowed working range are input into the fuzzy rule base, and the corresponding control rule set is activated according to the current working mode of the X-ray tube; Parse the output control rule set to obtain the initial adjustment of voltage-current reference value, drive frequency and trigger timing; The execution order is determined according to the requirements of temperature sensitivity and response speed of each preliminary adjustment amount, and multi-parameter coordinated control instructions are generated.

[0013] The second aspect of the present invention discloses a power control system for an X-ray generating device, the power control system comprising a memory and a processor, the memory storing a power control method program for the X-ray generating device, and when the power control method program for the X-ray generating device is executed by the processor, the steps of any one of the power control methods for the X-ray generating device are implemented.

[0014] The present invention solves the technical defects existing in the background technology, and has the following beneficial effects: by establishing a multi-level coordinated control mechanism of voltage-current deviation, driving frequency, phase compensation and thermodynamic parameters, adaptive and precise adjustment of the power supply system is achieved, the stability and transient response characteristics of the X-ray output are improved, and the power supply ripple and switching loss are effectively suppressed. At the same time, the safety and reliability of the system operation are ensured through the coupling of thermodynamic parameters, so that the X-ray tube can obtain optimized power supply under different working conditions. BRIEF DESCRIPTION OF THE DRAWINGS

[0015] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, drawings of other embodiments can be obtained based on these drawings without paying creative work.

[0016] Figure 1 The overall method flow chart of the power supply control method of the X-ray generating device is as follows; Figure 2This is a partial method flow chart of the power supply control method of the X-ray generating device; Figure 3 This is the system block diagram of the power control system of this X-ray generating device. DETAILED DESCRIPTION

[0017] In order to more clearly understand the above-mentioned purpose, features and advantages of the present invention, the present invention is further described in detail below in conjunction with the accompanying drawings and specific embodiments. It should be noted that the embodiments of the present application and the features in the embodiments can be combined with each other without conflict.

[0018] In the following description, many specific details are set forth to facilitate a full understanding of the present invention. However, the present invention may also be implemented in other ways different from those described herein. Therefore, the protection scope of the present invention is not limited to the specific embodiments disclosed below.

[0019] like Figure 1 As shown, the first aspect of the present invention discloses a power supply control method for an X-ray generating device, comprising the following steps: S102, detecting the working state parameters of the X-ray tube in real time, and generating corresponding voltage / current deviation correction values ​​according to a preset voltage-current characteristic curve; S104, dynamically adjusting the driving frequency of the high-frequency inverter based on the voltage / current deviation correction amount, and collecting the ripple characteristic amount fed back from the power output end to form a closed-loop correction factor; S106, coupling analysis is performed on the closed-loop correction factor and the rate of change of the cathode emission current of the X-ray tube to generate a phase compensation instruction of a pulse width modulation signal; S108, reconstructing the trigger timing diagram of the power switch device according to the phase compensation instruction, and synchronously injecting the thermodynamic parameters of the tube body to perform secondary correction of the duty cycle; S110, generating a multi-parameter coordinated control instruction by iteratively optimizing the matching relationship between the trigger timing spectrum and the duty cycle correction value.

[0020] It should be noted that the present invention solves the problem of poor output stability and slow response speed caused by insufficient dynamic coupling of multiple parameters in the X-ray tube power supply system. By establishing a multi-level coordinated control mechanism of voltage-current deviation, drive frequency, phase compensation and thermodynamic parameters, adaptive and precise adjustment of the power supply system is achieved, the stability and transient response characteristics of the X-ray output are improved, and the power supply ripple and switching loss are effectively suppressed. At the same time, the safety and reliability of the system operation are ensured through the coupling of thermodynamic parameters, so that the X-ray tube can obtain optimized power supply under different working conditions.

[0021] Preferably, the working state parameters of the X-ray tube are detected in real time, and the corresponding voltage / current deviation correction amount is generated according to the preset voltage-current characteristic curve, specifically: Parallel data acquisition is performed on the anode voltage and cathode current of the X-ray tube, and the high-frequency noise components in the time domain response waveform are filtered out by a dynamic noise suppression method; The filtered voltage-current parameters are compared point by point with the segmented slope of the preset voltage-current characteristic curve, and the abnormal fluctuation segments exceeding the tolerance interval are extracted and marked as characteristic spectra; The amplitude difference and duration of adjacent fluctuation segments in the characteristic spectrum are nonlinearly weighted to generate a composite deviation signal containing phase shift information; Based on the energy distribution characteristics of the composite deviation signal, the pattern recognition classifier is used to classify the deviation types into three categories: transient overshoot, steady-state offset and harmonic oscillation, and the corresponding error type labels are output; Different compensation strategies are selected according to the error type label; among them, the transient overshoot adopts the fast suppression strategy, the steady-state offset adopts the gradual adjustment strategy, and the harmonic oscillation adopts the phase synchronization correction strategy; Based on the selected compensation strategy, the reference value of the preset voltage-current characteristic curve is adjusted in real time to generate new reference parameters (such as reducing the target voltage in the overshoot section or the current slope in the smooth fluctuation section); The difference between the new reference parameter and the actual detected value of the anode voltage / cathode current is used as the voltage / current deviation correction amount.

[0022] For example, a high-voltage differential probe (bandwidth ≥ 100MHz) and a Hall effect current sensor are used to synchronously collect the anode voltage (typical value 80kV±5%) and cathode current (typical value 200mA±3%), and an analog active filter with a cutoff frequency of 1 / 10 of the switching frequency (e.g., 20kHz) is used to filter out high-frequency noise. The filtered voltage-current signal is compared with a preset characteristic curve (segmented slope tolerance is set to ±2% / μs) stored in the FPGA in real time. When a fluctuation segment that lasts for more than 10μs and deviates from the preset value by more than 5% is detected, it is marked as a characteristic spectrum. The amplitude difference (unit V or mA) and duration (unit μs) of adjacent fluctuation segments in the characteristic spectrum are weighted and fused at a weight ratio of 1:0.7 to generate a composite deviation signal with time stamp information (data update period 50μs). Through the classifier with 300 sets of typical working condition training samples pre-stored, the composite deviation signal with a rise time of less than 50μs is identified as transient overshoot, the fluctuation period of 1-10ms is identified as harmonic oscillation, and the rest is identified as steady-state deviation.

[0023] When the system detects a transient overshoot (such as an instantaneous overshoot of the anode voltage of +8kV), the reference voltage is lowered from 80kV to 75kV within 100μs through a rapid suppression strategy. At this time, the voltage deviation correction is -5kV. For steady-state deviations (such as the cathode current being continuously 15mA lower), the reference current is gradually increased at a rate of 2mA / ms to generate a current deviation correction of +10mA. For harmonic oscillations (such as ±3kV periodic fluctuations), phase synchronization compensation is implemented to generate an oscillation suppression correction of ±1.5kV.

[0024] In summary, the present invention solves the problem of insufficient voltage-current dynamic matching accuracy caused by load changes in X-ray tube power control. Through real-time noise suppression, characteristic spectrum analysis and intelligent deviation classification, accurate identification and differentiated compensation of transient overshoot, steady-state offset and harmonic oscillation are achieved, thereby improving the tracking accuracy and response speed of X-ray tube operating parameters, while effectively suppressing the instability of X-ray output intensity caused by power supply fluctuations, providing a high-precision deviation correction benchmark for subsequent power supply adjustment.

[0025] Preferably, the driving frequency of the high-frequency inverter is dynamically adjusted based on the voltage / current deviation correction amount, and the ripple characteristic amount fed back from the power output end is collected to form a closed-loop correction factor, such as Figure 2 As shown, specifically: S202, mapping the voltage / current deviation correction amount to the initial adjustment amount of the driving frequency, and synchronously collecting the time domain ripple waveform at the output end of the high-frequency inverter; S204, performing time-frequency ridge tracing on the time-domain ripple waveform, extracting the fundamental wave deviation of the ripple component and the energy density distribution of the harmonic clustering interval, and constructing a ripple feature vector including amplitude-frequency coupling characteristics; Among them, time-frequency ridge tracking refers to the time-frequency joint analysis of the time-domain ripple waveform, which determines the frequency drift characteristics and energy concentration areas of the ripple fundamental and harmonic components by extracting the continuous peak trajectory of the signal energy in the time-frequency distribution diagram.

[0026] S206, analyzing the conduction loss trend of the inverter switch device based on the energy density distribution of the ripple characteristic vector, and generating a ripple suppression weight coefficient linked to the driving frequency adjustment amount; It should be noted that based on the collected ripple feature vector (including fundamental wave deviation and harmonic energy distribution), the system first analyzes the conduction loss of the switching device under the current working state. When the harmonic energy is detected to be higher than the preset value (indicating that the switching loss is increased), a weight coefficient is automatically generated to reduce the driving frequency; otherwise, a weight coefficient is generated to increase the frequency adjustment amplitude. This weight coefficient will change dynamically according to the real-time detected ripple characteristics, and combined with the initial frequency adjustment amount, it will eventually form a comprehensive frequency adjustment solution that can both suppress ripple and optimize switching loss.

[0027] S208, inputting the ripple suppression weight coefficient and the initial adjustment amount into the dynamic coupler, switching the amplitude-phase compensation rule according to the current working mode (hard switch / soft switch) of the inverter, and determining the transient compensation gradient and the steady-state offset compensation amount of the driving frequency; S210, fusing the transient compensation gradient and the steady-state offset compensation amount according to a preset fusion ratio, and then generating a closed-loop correction factor with time-varying characteristics after phase synchronization calibration.

[0028] For example, when the voltage deviation correction is detected to be +5kV, it is converted into an initial adjustment of the drive frequency of +750Hz according to a proportional coefficient of 0.15kHz / kV; at the same time, an oscilloscope with a bandwidth of 100MHz is used to collect the ripple waveform at the output of the inverter (typical amplitude ±2V). The frequency deviation (such as +1.2kHz) of the ripple fundamental component (center frequency 100kHz) and the energy proportion (such as 28%) of the second harmonic interval (190-210kHz) are extracted through a fast Fourier transform processor to construct a ripple feature vector containing amplitude-frequency correlation parameters. According to the threshold condition that the harmonic energy proportion in the feature vector exceeds 25%, a driving frequency reduction weight coefficient of 0.8 is generated. In the hard switching mode, the weight coefficient is coupled with the initial adjustment amount in a ratio of 3:7, and the transient compensation gradient is output at -300Hz / ms; in the soft switching mode, it is coupled in a ratio of 5:5, and the steady-state offset compensation amount is output at +200Hz. Finally, the two compensation amounts are superimposed at a 6:4 fusion ratio corresponding to the dynamic load rate (such as 70%), and a closed-loop correction factor (such as the final output +420Hz adjustment amount) is generated after 50ns-level phase calibration. The correction factor update cycle is 100μs.

[0029] In summary, by establishing a dynamic coupling mechanism between voltage / current deviation and ripple characteristics, real-time and precise adjustment of the driving frequency is achieved, which solves the problems of driving frequency adjustment lag and poor ripple suppression caused by sudden load changes in high-frequency inverters in X-ray power applications, thereby improving the dynamic response speed of the power supply system, effectively suppressing the output ripple, and reducing the conduction loss of the switching device, providing a more stable high-frequency power output for the X-ray tube.

[0030] Preferably, the closed-loop correction factor is coupled with the rate of change of the cathode emission current of the X-ray tube to generate a phase compensation instruction of the pulse width modulation signal, specifically: A dynamic correlation matrix between the closed-loop correction factor and the cathode emission current change rate is established, and the phase lag characteristics of the two in the time domain are extracted through cross-correlation analysis; that is, the phase lag characteristics of the closed-loop correction factor and the cathode emission current change rate in the time domain are extracted; It should be noted that the closed-loop correction factor signal and the cathode current change rate signal are recorded synchronously, such as storing waveform data of at least 10 complete cycles (about 100-500 microseconds) at a sampling interval of 1 microsecond; then the two sets of signals are input into a digital processor, and the similarity between the two is calculated point by point through a sliding time window (such as 50 microseconds width). When it is detected that the cathode current change rate waveform shows a similar change trend with a delay than the correction factor waveform (for example, the current change always peaks 15 microseconds later than the correction factor), the time difference is the phase lag feature.

[0031] Based on the phase lag characteristics, the cathode current change rate waveform is subjected to piecewise smoothing processing to generate a current modulation coefficient with a time-varying gain characteristic; The current modulation coefficient and the closed-loop correction factor are input into a nonlinear coupler, and a corresponding coupling weight allocation strategy is selected according to the current working mode of the X-ray tube to determine the fundamental phase offset of the pulse width modulation signal; wherein the working mode includes a continuous exposure mode and a pulse modulation mode; The pulse duty cycle distribution within the switching period is inverted by the fundamental phase offset, and a phase compensation instruction including leading edge compensation and trailing edge delay is generated in combination with the preset dead time constraint.

[0032] Among them, the preset dead time constraint refers to the minimum time interval that is forcibly set in the control signal of the power switching device to ensure that the upper and lower bridge arm switches are not turned on at the same time. The time value is determined according to the turn-off characteristics of the specific switching device (usually 1-3μs) to prevent power supply short circuit and reduce switching losses.

[0033] Preferably, a corresponding coupling weight allocation strategy is selected according to the current working mode of the X-ray tube to determine the fundamental wave phase offset of the pulse width modulation signal, specifically: Establish an X-ray tube working mode recognition module to determine whether it is currently in continuous exposure mode or pulse modulation mode by analyzing the duty cycle characteristics and rising edge slope of the cathode emission current; In the continuous exposure mode, the closed-loop correction factor and the current change rate are weighted averaged to generate a coupling weight coefficient dominated by steady-state accuracy. In the pulse modulation mode, the peak interval of the current change rate and the mutation point of the closed-loop correction factor are extracted and dynamically matched to generate a coupling weight coefficient dominated by fast tracking. The coupling weight coefficient is input into a phase offset calculator, and the trend of the fundamental phase deviation is fitted by the least square method in the continuous exposure mode, while the phase jump point of the dominant harmonic is captured by the peak locking method in the pulse modulation mode; It should be noted that in continuous exposure mode, the system will continuously collect phase deviation data for a period of time (such as 10 milliseconds), and find the overall trend line of the deviation over time through mathematical fitting, so as to obtain a stable phase compensation amount; while in pulse modulation mode, the system will monitor the mutation point of the current waveform in real time, and when a spike of rapid rise or fall of current is detected (usually completed within tens of microseconds), the phase deviation value at that moment is immediately recorded as the compensation reference. The two modes use different phase recognition strategies for stable working state and fast transient state respectively, ensuring that the required phase compensation parameters can be accurately obtained under various working conditions.

[0034] Finally, the fundamental phase offset of the pulse width modulation signal is output based on the selected calculation mode; the offset in the continuous exposure mode is used to correct the steady-state waveform distortion, and the offset in the pulse modulation mode is used to compensate for the phase lag during fast switching.

[0035] It should be noted that the system automatically selects the corresponding phase compensation strategy according to the current working mode: in continuous exposure mode, the steady-state phase offset obtained by smooth fitting (such as +5°) is output to slowly correct waveform distortion; in pulse modulation mode, the instantaneous phase jump (such as -15°) captured in real time is output to quickly compensate for switching transients. These phase offsets are directly converted into time adjustment amounts for PWM signals. For example, each 1° phase offset corresponds to a pulse width change of about 28 nanoseconds, and finally generates accurate time compensation instructions to be sent to the power switch driver.

[0036] Exemplarily, when the closed-loop correction factor is +420Hz and the cathode current change rate reaches 50mA / μs, the time domain correlation matrix of the two is established through the correlation operation unit of the digital signal processor, and it is detected that the current change has a 15μs phase lag relative to the correction factor. The current change rate waveform is segmented and smoothed using a sliding average filter with a time window length of 100μs to generate a modulation coefficient (range 0.8-1.2) that is dynamically adjusted with the current slope. In the continuous exposure mode (cathode current duty cycle>90%), the modulation coefficient and the correction factor are coupled at a weight ratio of 6:4, and the fundamental phase offset (typical value ±5°) for correcting steady-state distortion is output; in the pulse modulation mode (rising edge slope>80mA / μs), the phase offset (typical value ±15°) for compensating for fast switching is output at a weight ratio of 3:7. The PWM controller converts the phase offset into a duty cycle adjustment (resolution 0.1%), and constrains the dead time to ≥ 2μs, and finally generates the phase compensation instructions for leading edge compensation (0.5-1μs in advance) and trailing edge delay (0.3-0.8μs in delay). Among them, the pattern recognition module automatically switches the processing strategy by comparing the current waveform characteristics (continuous mode pulse width > 10ms, pulse mode rise time < 50μs).

[0037] In summary, the present invention achieves precise control of the phase of the pulse width modulation signal, improves the response synchronization of the X-ray tube power supply, and effectively eliminates the output power fluctuation caused by the change of cathode current, while ensuring the safe operation of the switching device within the dead time, by establishing a dynamic relationship between the closed-loop correction factor and the current change rate and implementing differentiated compensation strategies for different working modes.

[0038] Preferably, the trigger timing diagram of the power switch device is reconstructed according to the phase compensation instruction, and the thermodynamic parameters of the tube body are synchronously injected to perform secondary correction of the duty cycle, specifically: The phase compensation instruction is input into the timing reconstruction engine, and the on-phase reference point and the off-phase reference point of the power switch device are separated by the pulse width-phase decoupling method to generate the initial trigger timing spectrum; Among them, the pulse width-phase decoupling method refers to a technical means of independently analyzing and processing the pulse width parameters (duty cycle) and phase parameters (trigger time) in the control signal of the power switching device, and by separating the reference points of the turn-on and turn-off moments, independent optimization and adjustment of the timing of the two can be achieved.

[0039] Synchronously collect the temperature gradient distribution data of the X-ray tube body and calculate the heat dissipation efficiency coefficient of each area of ​​the tube body, and map the heat dissipation efficiency coefficient of each area of ​​the tube body to the maximum allowable duty cycle attenuation gradient; The initial trigger timing spectrum and the maximum duty cycle attenuation gradient are input into the dynamic constraint optimizer, and the conduction phase reference point is temperature-adaptively adjusted using a thermal-electric coupling algorithm to generate an optimized trigger timing with thermal protection characteristics. It should be noted that the principle of the thermal-electric coupling algorithm is to establish a dynamic correlation model between the temperature field distribution of the X-ray tube body and the electrical parameters of the power switching device, and to map the thermodynamic parameters (such as temperature gradient, heat dissipation efficiency) into electrical control constraints (such as the maximum allowable duty cycle, conduction phase compensation) in real time. The core of the algorithm is to use the ratio of the temperature change rate of each area of ​​the tube body to the preset thermal time constant to dynamically adjust the on / off timing of the switching device, so that the duty cycle and phase parameters of the trigger pulse can be adaptively adjusted with the temperature change, which not only ensures the stability of the power output, but also realizes overheating protection. Specifically, when it is detected that the local temperature rise is too fast, the conduction time of the corresponding switch device in the area is automatically reduced and the trigger phase is adjusted, forming a closed-loop collaborative optimization of the thermodynamic state and electrical control parameters.

[0040] According to the ratio of the tube body temperature change rate to the preset thermal time constant, the delay compensation amount of the shutdown phase reference point is dynamically adjusted, and then the duty cycle parameter of the initial trigger timing spectrum is combined to generate a temperature-adaptive duty cycle correction value; The duty cycle correction value and the turn-off phase reference point are reintegrated to form a trigger timing diagram after secondary correction.

[0041] Exemplarily, when the timing reconstruction engine receives a phase compensation instruction of ±15°, it converts it into the turn-on reference point (such as the original trigger moment is moved forward by 1.4μs) and the turn-off reference point (such as delayed by 0.8μs) of the power switch device, and generates the initial trigger timing (duty cycle 45%). The temperature data is collected synchronously through 6 thermocouples (accuracy ±1°C) distributed on the surface of the tube body. When the temperature of the anode target surface area is detected to reach 80°C, the maximum duty cycle attenuation gradient of the area is calculated to be 2% / °C. After the initial timing and attenuation gradient are input into the optimizer, when the target surface temperature rise rate is 5°C / s, the turn-on reference point is automatically moved back by 0.3μs (the duty cycle is reduced to 42% after adjustment). At the same time, according to the ratio of the overall temperature change rate of the tube body (3℃ / s) to the thermal time constant (120s) of 0.025, the shutdown reference point delay compensation is dynamically increased by 0.2μs, and finally a secondary corrected trigger timing diagram is generated (the turn-on reference point is moved back by 0.3μs, the shutdown reference point is delayed by a total of 1.0μs, and the actual duty cycle is adjusted to 40%).

[0042] In summary, by dynamically coupling the phase compensation instruction with the real-time tube temperature parameters, the intelligent reconstruction of the trigger timing and the adaptive adjustment of the duty cycle are realized, which solves the problem of inaccurate trigger timing of the power switch device caused by temperature changes in the X-ray tube power supply system, thereby improving the working reliability of the power switch device, effectively preventing the tube from being damaged by overheating, and ensuring the stability of the X-ray output intensity. This enables the power supply system to optimize the power output efficiency in real time according to temperature changes.

[0043] Preferably, a multi-parameter coordinated control instruction is generated by iteratively optimizing the matching relationship between the trigger timing spectrum and the duty cycle correction value, specifically: A dynamic correlation matrix between the trigger timing spectrum and the duty cycle correction value is established, and the collaborative matching degree between the two in the time domain is analyzed through a multi-objective optimization algorithm to generate an initial collaborative control parameter set; It should be noted that the key parameters (such as the turn-on phase point and turn-off delay time) and the duty cycle correction value in the trigger timing diagram are first recorded in real time, and the two sets of data are aligned based on the time axis; then the coordination effect of the two in different time periods is analyzed, such as whether the trigger phase needs to be adjusted accordingly to maintain output stability when the duty cycle increases; then according to the preset optimization goals (such as minimum output fluctuation, maximum efficiency, etc.), a set of initial control parameters that can best coordinate the timing and duty cycle are automatically determined (such as a phase advance of 0.5μs and a duty cycle increase of 2%); finally, this set of parameters is sent as the basic value to the subsequent optimization link. The whole process is automatically updated every 100 milliseconds to ensure that the parameters always match the current working status.

[0044] Synchronously collecting the output X-ray intensity of the X-ray tube, and extracting the sensitivity coefficients of the output X-ray intensity and various control parameters; The sensitivity coefficient is input into an adaptive weight allocator to dynamically adjust the weight ratio of the trigger timing and the duty cycle in the control model according to the current working stage (startup / steady state / regulation); Based on the historical control effect data, the initial cooperative control parameter set is optimized online to generate a parameter correction vector with time-varying characteristics; The parameter correction vector is injected into the fuzzy inference engine, and combined with the boundary conditions of tube temperature and cathode current change rate, a multi-parameter collaborative control instruction is generated.

[0045] For example, when the on-phase reference point in the trigger timing spectrum is detected to be +1.2μs (corresponding to 80kHz switching frequency) and the duty cycle correction value is -5%, the correlation matrix is ​​used to calculate the synergistic matching degree of the two to be 0.85 (range 0-1); the ionization chamber sensor is used to collect X-ray intensity (typical value 200R / min) synchronously, and the sensitivity coefficient of intensity to trigger timing is 0.8R / μs, and the sensitivity coefficient to duty cycle is 1.2R / %. In the startup phase (the first 30 seconds), the weight distributor sets the trigger timing weight to 70% and the duty cycle weight to 30%; after entering the steady state, it is adjusted to 50% each. Based on the historical data of the past 10 minutes (such as intensity fluctuation <±2%), a parameter correction vector is generated (timing adjustment ±0.3μs, duty cycle adjustment ±1.5%). When the tube temperature exceeds 75°C or the cathode current change rate is greater than 50mA / ms, restrictive control instructions (such as a maximum duty cycle of 40%) are output through fuzzy reasoning, and the control parameter update cycle is 200ms.

[0046] In summary, by establishing a dynamic correlation model of trigger timing, duty cycle and X-ray intensity, and introducing real-time sensitivity analysis and adaptive weight allocation mechanism, intelligent collaborative control of multiple parameters is realized, the stability and response speed of X-ray output intensity are improved, and at the same time, it is ensured that the system can automatically maintain the optimal control state in various working stages, effectively avoiding control conflicts or performance degradation caused by traditional single parameter adjustment.

[0047] Preferably, the initial cooperative control parameter set is optimized online based on the historical control effect data to generate a parameter correction vector with time-varying characteristics, specifically: Establish a historical control effect database to store multi-dimensional historical operation data including X-ray intensity stability indicators, power efficiency parameters and tube body thermodynamic state; Dynamically weight the multi-dimensional historical operation data to form a time-sensitive feature vector, which is then input into the parameter sensitivity analyzer to determine the weight of each coordinated control parameter (including voltage-current reference value, drive frequency, trigger timing, etc.) on system performance; Generate a parameter optimization priority sequence based on the impact weights, and use a progressive adjustment strategy to perform targeted optimization on high-priority parameters; The optimization results are compared with the real-time system feedback, and the adjustment step and direction of the parameter correction vector are dynamically updated to finally generate a correction vector containing time-varying characteristic parameters.

[0048] For example, the historical database stores the X-ray intensity fluctuation variance (typical value ±3%), inverter efficiency (89-92%) and tube temperature (40-85°C) data within the last 8 hours, and generates a time-dependent feature vector according to the time attenuation weight (weight of 0.7 for the last 1 hour of data). The parameter sensitivity analyzer analyzes that the trigger timing has the highest weight on the intensity stability (0.45), and the driving frequency has the second highest influence on the efficiency (0.3). The optimizer gives priority to adjusting the trigger timing parameters (step length ±0.2μs). When the real-time monitoring shows that the intensity fluctuation is reduced by 15%, the timing adjustment step in the correction vector is reduced to ±0.1μs; at the same time, the driving frequency (±0.5kHz) is adjusted in a linkage manner at a ratio of 2:1. The final output correction vector contains time-varying parameters such as timing compensation (+0.15μs) and frequency adjustment (-0.3kHz), and the weight distribution is automatically updated every 5 minutes.

[0049] Preferably, the parameter correction vector is injected into the fuzzy inference engine, and the multi-parameter coordinated control instructions are generated in combination with the boundary conditions of the tube body temperature and the cathode current change rate, specifically: Input the parameter correction vector into the fuzzy controller and convert it into a standardized fuzzy variable; At the same time, the temperature distribution of the tube body and the change rate of the cathode current are monitored in real time, and the allowable working range is generated through the boundary condition detection circuit; The fuzzy variables and the allowed working range are input into the fuzzy rule base, and the corresponding control rule set is activated according to the current working mode of the X-ray tube; Parse the output control rule set to obtain the initial adjustment of voltage-current reference value, drive frequency and trigger timing; The execution order is determined according to the requirements of temperature sensitivity and response speed of each preliminary adjustment amount, and multi-parameter coordinated control instructions are generated.

[0050] Exemplarily, when the parameter correction vector contains a trigger timing adjustment of +0.15μs and a drive frequency adjustment of -0.3kHz, the fuzzy controller converts it into fuzzy variables of "medium positive timing correction" and "small negative frequency correction"; at the same time, the maximum temperature of the tube body is 82°C (the upper limit is 85°C) and the cathode current change rate is 40mA / μs (the upper limit is 50mA / μs), and a safe working range is generated. In the continuous exposure mode, the rule set A is activated, and the preliminary instructions for adjusting the output voltage reference value by +0.8kV and the frequency by -0.25kHz are activated; in the pulse mode, the rule set B is activated, and the instruction for advancing the output timing by 0.2μs is activated. According to the temperature sensitivity sorting (timing>frequency>voltage), the timing adjustment takes effect first, the frequency adjustment is executed after 200μs, and finally the voltage adjustment is gradually completed within 500μs, forming a coordinated control instruction for time-sharing execution.

[0051] In this embodiment, the power control method may further include the following steps: Real-time monitoring of cathode current micro-variation rate and gate voltage fluctuation trend, combined with the thermal field distribution parameters of the electron emission surface to generate the initial density gradient map; The density gradient map is input into the electron trajectory simulation engine, and the dynamic distribution parameters of the electron cloud are generated according to the residual gas ionization degree and the magnetic field compensation amount in the vacuum tube cavity; Extract the sudden change characteristics of electron cloud density gradient based on dynamic distribution parameters, and predict the density gradient offset of several future switching cycles (such as 3-5 switching cycles) through the space charge relaxation time inversion algorithm; Inputting the density gradient offset and the grid geometry parameters (including grid permeability and inter-electrode curvature radius) into a feedforward compensator to generate a nonlinear feedforward coefficient including a space charge effect suppression weight; The feedforward coefficient is coupled with the real-time gate bias voltage in phase advance to generate a gate control bias correction instruction superimposed with an electron cloud dynamic compensation amount.

[0052] Among them, the density gradient offset is directly related to the generation logic of the feedforward coefficient, and the dynamic distribution parameters output by the electron trajectory simulation engine are synchronously embedded in the calculation process of the relaxation time inversion algorithm.

[0053] For example, when the cathode current micro-variation rate is detected to be ±5mA / μs and the gate voltage fluctuation exceeds ±200V, the thermal field distribution is collected through 6 infrared temperature measurement points (accuracy ±2℃) distributed on the cathode emission surface to generate an initial density gradient map (resolution 0.1mA / mm²). The map is input into a residual gas pressure sensor (range 10 -3 Up to 10 -6 Pa) and the electron trajectory simulation system of the Hall magnetometer. When the measured ionization degree reaches 5×10 -4 When the axial magnetic field compensation is 50mT, the dynamic distribution parameters of the electron cloud are output (update cycle 10μs). Based on the density gradient mutation characteristics extracted by this parameter (such as gradient change rate>15% / μs), the density offset (such as +12%) of the next three switching cycles (75μs in total) is predicted. Combined with the gate structure parameters (grid permeability 65%, curvature radius 3mm), a nonlinear feedforward coefficient (range 0.8-1.3) is generated, and finally coupled with the real-time gate bias voltage (typical value -1kV) to output correction instructions (such as advance compensation +150V), the instruction response delay is <5μs.

[0054] In summary, this method solves the problem of grid control response lag caused by space charge effect under load mutation conditions of X-ray tubes. By establishing a dynamic prediction model and feedforward compensation mechanism for electron cloud density gradient, the space charge effect is suppressed in advance, the response speed and control accuracy of the grid bias voltage are improved, and the X-ray output fluctuation caused by the sudden change of electron cloud density is effectively eliminated. At the same time, through the dynamic coupling of residual gas ionization degree and magnetic field compensation parameters, the system's adaptability to changes in complex vacuum environments is enhanced.

[0055] In this embodiment, the power control method may further include the following steps: Real-time acquisition of the junction temperature gradient, carrier concentration distribution and lattice stress wave propagation velocity of the power control chip to obtain multi-physics field data; Inputting the multi-physics field data into a quantum transport equation solver, and generating a microscopic carrier motion trajectory prediction model diagram in combination with the material interface defect energy barrier topology; It should be noted that the collected junction temperature, carrier concentration and lattice stress data are input into the quantum transport equation solver, and the pre-stored material interface defect parameters (such as atomic arrangement defect positions and energy barrier values) are called at the same time; then the movement behavior of electrons in these complex environments is simulated through the principles of quantum mechanics, focusing on the obstruction or deflection effect of defect areas on electron movement; then, based on the residence time and collision probability of electrons at different positions, the possible paths and aggregation areas of electron movement are drawn; finally, these data are integrated into a dynamic electron movement prediction map; Extract the carrier concentration gradient mutation area based on the microscopic carrier motion trajectory prediction model, and generate carrier aggregation hot spots and quantum tunneling probability cloud maps based on dynamic simulation (such as Sentaurus TCAD, Silvaco Atlas and other simulation software) of the carrier concentration gradient mutation area; Mapping the hot spots and probability cloud map to a virtual reality interactive engine, and constructing a three-dimensional dynamic warning marking layer according to device failure threshold conditions (such as Schottky barrier distortion and collision ionization accumulation); The spatiotemporal coupling relationship between carrier trajectory streamlines and warning marks is rendered in real time through the human-computer interaction interface, and a visual dynamic cloud map covering the spatiotemporal coupling characteristics of carrier trajectory streamlines and warning marks is obtained.

[0056] It should be noted that through the combination of real-time monitoring of multiple physical fields and quantum transport dynamics modeling, the visual prediction of carrier motion trajectory and failure risk is achieved, thereby improving the spatiotemporal resolution of power device reliability analysis, enabling designers to intuitively identify potential failure sites and avoid microscopic failure mechanisms such as hot carrier injection and quantum tunneling breakdown in advance, while providing accurate physical field coupling data support for device optimization.

[0057] like Figure 3 As shown, the second aspect of the present invention discloses a power control system 8 for an X-ray generating device, wherein the power control system includes a memory 60 and a processor 80, wherein the memory 60 stores a power control method program for an X-ray generating device, and when the power control method program for an X-ray generating device is executed by the processor 80, the steps of any one of the power control methods for an X-ray generating device are implemented.

[0058] The above are only specific embodiments of the present invention, but the protection scope of the present invention is not limited thereto. Any technician familiar with the technical field can easily think of changes or substitutions within the technical scope disclosed by the present invention, which should be covered by the protection scope of the present invention.

Claims

1. A power supply control method for an X-ray generating device, characterized in that: The following steps are involved: Real-time detection of X-ray tube working state parameters, and generation of corresponding voltage / current deviation correction according to the preset voltage-current characteristic curve; Dynamically adjusting the driving frequency of the high-frequency inverter based on the voltage / current deviation correction amount, and collecting the ripple characteristic amount fed back from the power output end to form a closed-loop correction factor; The closed-loop correction factor is coupled with the rate of change of the cathode emission current of the X-ray tube to generate a phase compensation instruction of the pulse width modulation signal; Reconstructing the trigger timing diagram of the power switch device according to the phase compensation instruction, and synchronously injecting the thermodynamic parameters of the tube body to perform secondary correction of the duty cycle; By iteratively optimizing the matching relationship between the trigger timing spectrum and the duty cycle correction value, a multi-parameter coordinated control instruction is generated.

2. A power supply control method for an X-ray generating device according to claim 1, characterized in that: Real-time detection of X-ray tube working state parameters, and generation of corresponding voltage / current deviation correction according to the preset voltage-current characteristic curve, specifically: Parallel data acquisition is performed on the anode voltage and cathode current of the X-ray tube, and the high-frequency noise components in the time domain response waveform are filtered out by a dynamic noise suppression method; The filtered voltage-current parameters are compared point by point with the segmented slope of the preset voltage-current characteristic curve, and the abnormal fluctuation segments exceeding the tolerance interval are extracted and marked as characteristic spectra; The amplitude difference and duration of adjacent fluctuation segments in the characteristic spectrum are nonlinearly weighted to generate a composite deviation signal containing phase shift information; Based on the energy distribution characteristics of the composite deviation signal, the pattern recognition classifier is used to classify the deviation types into three categories: transient overshoot, steady-state offset and harmonic oscillation, and the corresponding error type labels are output; Different compensation strategies are selected according to the error type label; among them, the transient overshoot adopts the fast suppression strategy, the steady-state offset adopts the gradual adjustment strategy, and the harmonic oscillation adopts the phase synchronization correction strategy; Based on the selected compensation strategy, the reference value of the preset voltage-current characteristic curve is adjusted in real time to generate new reference parameters; The difference between the new reference parameter and the actual detected value of the anode voltage / cathode current is used as the voltage / current deviation correction amount.

3. A power supply control method for an X-ray generating device according to claim 1, characterized in that: The driving frequency of the high-frequency inverter is dynamically adjusted based on the voltage / current deviation correction amount, and the ripple characteristic amount fed back from the power output end is collected to form a closed-loop correction factor, which is specifically: Map the voltage / current deviation correction amount to the initial adjustment amount of the driving frequency, and synchronously collect the time domain ripple waveform at the output end of the high-frequency inverter; Performing time-frequency ridgeline tracing on the time-domain ripple waveform, extracting the fundamental wave deviation of the ripple component and the energy density distribution of the harmonic clustering interval, and constructing a ripple feature vector including amplitude-frequency coupling characteristics; Based on the energy density distribution of the ripple characteristic vector, the conduction loss trend of the inverter switch device is analyzed to generate a ripple suppression weight coefficient linked to the driving frequency adjustment amount; The ripple suppression weight coefficient and the initial adjustment amount are input into the dynamic coupler, and the transient compensation gradient and the steady-state offset compensation amount of the driving frequency are determined according to the amplitude-phase compensation rule of the inverter's current working mode switching; The transient compensation gradient and the steady-state offset compensation amount are fused according to a preset fusion ratio, and then a closed-loop correction factor with time-varying characteristics is generated after phase synchronization calibration.

4. The power supply control method of an X-ray generating device according to claim 1, characterized in that: The closed-loop correction factor is coupled with the rate of change of the cathode emission current of the X-ray tube to generate a phase compensation instruction of the pulse width modulation signal, specifically: The dynamic correlation matrix between the closed-loop correction factor and the cathode emission current change rate is established, and the phase lag characteristics of the two in the time domain are extracted through cross-correlation analysis. Based on the phase lag characteristics, the cathode current change rate waveform is subjected to piecewise smoothing processing to generate a current modulation coefficient with a time-varying gain characteristic; The current modulation coefficient and the closed-loop correction factor are input into a nonlinear coupler, and a corresponding coupling weight allocation strategy is selected according to the current working mode of the X-ray tube to determine the fundamental phase offset of the pulse width modulation signal; wherein the working mode includes a continuous exposure mode and a pulse modulation mode; The pulse duty cycle distribution within the switching period is inverted by the fundamental phase offset, and a phase compensation instruction including leading edge compensation and trailing edge delay is generated in combination with the preset dead time constraint.

5. A power supply control method for an X-ray generating device according to claim 4, characterized in that: According to the current working mode of the X-ray tube, the corresponding coupling weight allocation strategy is selected to determine the fundamental phase offset of the pulse width modulation signal, which is specifically: Establish an X-ray tube working mode recognition module to determine whether it is currently in continuous exposure mode or pulse modulation mode by analyzing the duty cycle characteristics and rising edge slope of the cathode emission current; In the continuous exposure mode, the closed-loop correction factor and the current change rate are weighted averaged to generate a coupling weight coefficient dominated by steady-state accuracy. In the pulse modulation mode, the peak interval of the current change rate and the mutation point of the closed-loop correction factor are extracted and dynamically matched to generate a coupling weight coefficient dominated by fast tracking. The coupling weight coefficient is input into a phase offset calculator, and the trend of the fundamental phase deviation is fitted by the least square method in the continuous exposure mode, while the phase jump point of the dominant harmonic is captured by the peak locking method in the pulse modulation mode; Finally, the fundamental phase offset of the pulse width modulation signal is output based on the selected calculation mode; the offset in the continuous exposure mode is used to correct the steady-state waveform distortion, and the offset in the pulse modulation mode is used to compensate for the phase lag during fast switching.

6. A power supply control method for an X-ray generating device according to claim 1, characterized in that: The trigger timing diagram of the power switch device is reconstructed according to the phase compensation instruction, and the thermodynamic parameters of the tube body are synchronously injected to perform a secondary correction of the duty cycle, specifically: The phase compensation instruction is input into the timing reconstruction engine, and the on-phase reference point and the off-phase reference point of the power switch device are separated by the pulse width-phase decoupling method to generate the initial trigger timing spectrum; Synchronously collect the temperature gradient distribution data of the X-ray tube body and calculate the heat dissipation efficiency coefficient of each area of ​​the tube body, and map the heat dissipation efficiency coefficient of each area of ​​the tube body to the maximum allowable duty cycle attenuation gradient; The initial trigger timing spectrum and the maximum duty cycle attenuation gradient are input into the dynamic constraint optimizer, and the conduction phase reference point is temperature-adaptively adjusted using a thermal-electric coupling algorithm to generate an optimized trigger timing with thermal protection characteristics. According to the ratio of the tube body temperature change rate to the preset thermal time constant, the delay compensation amount of the shutdown phase reference point is dynamically adjusted, and then the duty cycle parameter of the initial trigger timing spectrum is combined to generate a temperature-adaptive duty cycle correction value; The duty cycle correction value and the turn-off phase reference point are reintegrated to form a trigger timing diagram after secondary correction.

7. A power supply control method for an X-ray generating device according to claim 1, characterized in that: By iteratively optimizing the matching relationship between the trigger timing spectrum and the duty cycle correction value, a multi-parameter coordinated control instruction is generated, specifically: A dynamic correlation matrix between the trigger timing spectrum and the duty cycle correction value is established, and the collaborative matching degree between the two in the time domain is analyzed through a multi-objective optimization algorithm to generate an initial collaborative control parameter set; Synchronously collecting the output X-ray intensity of the X-ray tube, and extracting the sensitivity coefficients of the output X-ray intensity and various control parameters; The sensitivity coefficient is input into an adaptive weight allocator to dynamically adjust the weight ratio of the trigger timing and the duty cycle in the control model according to the current working stage; Based on the historical control effect data, the initial cooperative control parameter set is optimized online to generate a parameter correction vector with time-varying characteristics; The parameter correction vector is injected into the fuzzy inference engine, and combined with the boundary conditions of tube temperature and cathode current change rate, a multi-parameter collaborative control instruction is generated.

8. A power supply control method for an X-ray generating device according to claim 7, characterized in that: Based on the historical control effect data, the initial cooperative control parameter set is optimized online to generate a parameter correction vector with time-varying characteristics, specifically: Establish a historical control effect database to store multi-dimensional historical operation data including X-ray intensity stability indicators, power efficiency parameters and tube body thermodynamic state; Dynamically weight the multi-dimensional historical operation data to form a time-sensitive feature vector, which is then input into the parameter sensitivity analyzer to determine the weight of each collaborative control parameter on system performance. Generate a parameter optimization priority sequence based on the impact weights, and use a progressive adjustment strategy to perform targeted optimization on high-priority parameters; The optimization results are compared with the real-time system feedback, and the adjustment step and direction of the parameter correction vector are dynamically updated to finally generate a correction vector containing time-varying characteristic parameters.

9. The power supply control method of an X-ray generating device according to claim 7, characterized in that: The parameter correction vector is injected into the fuzzy inference engine, and combined with the boundary conditions of tube temperature and cathode current change rate, a multi-parameter coordinated control instruction is generated, specifically: Input the parameter correction vector into the fuzzy controller and convert it into a standardized fuzzy variable; At the same time, the temperature distribution of the tube body and the change rate of the cathode current are monitored in real time, and the allowable working range is generated through the boundary condition detection circuit; The fuzzy variables and the allowed working range are input into the fuzzy rule base, and the corresponding control rule set is activated according to the current working mode of the X-ray tube; Parse the output control rule set to obtain the initial adjustment of voltage-current reference value, drive frequency and trigger timing; The execution order is determined according to the requirements of temperature sensitivity and response speed of each preliminary adjustment amount, and multi-parameter coordinated control instructions are generated.

10. A power supply control system for an X-ray generating device, characterized in that: The power control system includes a memory and a processor, wherein the memory stores a power control method program for an X-ray generating device. When the power control method program for an X-ray generating device is executed by the processor, the steps of the power control method for an X-ray generating device as described in any one of claims 1 to 9 are implemented.

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