Fuel regulator quality qualification detection device and method
By constructing a fuel regulator quality qualification testing device and using multiple modules and algorithms to identify the dead zone energy of the valve, the problem of large valve test qualification error was solved, and the control accuracy and safety of the engine were improved.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- XIAN AERO ENGINE CONTROLS
- Filing Date
- 2025-11-07
- Publication Date
- 2026-05-12
AI Technical Summary
In existing technologies, the valve testing of fuel regulators has a large error, which leads to frequent engine speed fluctuations and makes it impossible to accurately control the travel of the metering valve.
The system employs a PWM generation module, a solenoid valve module, a linear displacement sensor module, a sensor signal conditioning module, a signal measurement module, a computation and control unit, a balanced duty cycle identification algorithm module, a dead zone energy identification algorithm module, and a pass/fail identification algorithm module. By identifying the dead zone energy required by the valve and fitting the parameters, it provides a pass/fail detection method for metering devices.
It enables precise detection of the quality of fuel regulators, reduces valve failures, and improves the control performance and operational safety of aero engines.
Smart Images
Figure CN122016265A_ABST
Abstract
Description
Technical Field
[0001] This invention belongs to the field of aero-engine fuel control, and specifically relates to a fuel regulator quality qualification testing device and method. Background Technology
[0002] The fuel regulator metering device is a critical component of the aero-engine control system. The opening and closing of the metering valve directly affects the accuracy of fuel metering, which is crucial to engine control performance and reliability. In practical applications, the metering valve is affected by varying degrees of dynamic and static friction, causing the dead time of the solenoid valve to be too long or too short, making it impossible to accurately control the valve's stroke. This leads to engine speed fluctuations and frequent malfunctions. Currently, the method for testing the valve's qualification is to manually test its damping using a force gauge and judge the valve's qualification based on empirical values. This method has a certain degree of error. Summary of the Invention
[0003] This invention proposes a fuel regulator quality qualification testing device and method, which can solve the problem of large error in testing valve qualification.
[0004] In a first aspect, this application provides a fuel regulator quality compliance testing device, comprising: a PWM generation module, a solenoid valve module, a linear displacement sensor module, a sensor signal conditioning module, a signal measurement module, a calculation and control unit, a balance duty cycle identification algorithm module, a dead zone energy identification algorithm module, and a compliance identification algorithm module, wherein: The PWM generation module is connected to the arithmetic control unit at its input and to the solenoid valve drive module at its output. The solenoid valve module is electrically connected to the solenoid valve drive module at its input and mechanically connected to the metering valve at its output. The linear displacement sensor module is connected to the solenoid valve at its input and to the sensor signal conditioning module at its output. The sensor signal conditioning module is connected to the linear displacement sensor module at its input and to the arithmetic control module at its output. The arithmetic control module is connected to the sensor signal conditioning module, the PWM generation module, the balanced duty cycle identification algorithm module, the dead zone energy identification algorithm module, and the pass / fail identification algorithm module, respectively. The balanced duty cycle identification algorithm module is connected to the dead zone energy identification algorithm module. The dead zone energy identification algorithm module is connected to both the balanced duty cycle identification algorithm module and the pass / fail identification algorithm module.
[0005] Furthermore, the computation control unit is the core of the device's computation control. On the one hand, it outputs a PWM signal, which is converted into a power signal by the drive module and output to the solenoid valve. On the other hand, it reads the LVDT acquisition information and calculates the valve stroke. At the same time, it also carries the calculation of the algorithm identification module, provides computation control resources for the operation of the algorithm module, and realizes the scheduling of the algorithm module.
[0006] Furthermore, the PWM generation module is used to generate pulse width modulation signals to control the working state of the solenoid valve; The solenoid valve drive module converts the control signal, i.e., the PWM signal, into a power signal that can drive the solenoid valve to work. The solenoid valve is used to receive control signals and perform switching actions to drive the valve core of the metering valve to move and control its opening, closing or opening degree adjustment. The metering valve is the controlled object, and its opening degree affects the fuel flow metering. The linear displacement sensor module is used to measure the valve travel. It outputs a voltage signal through electromagnetic induction. The voltage amplitude is proportional to the displacement, and the phase reflects the direction of motion. The sensor signal conditioning module is used to generate excitation for the linear displacement sensor and condition the sinusoidal signal output by the linear displacement sensor; at the same time, it conditions the voltage signal of the linear displacement sensor module and converts it into a voltage signal that can be acquired by the operation and control unit. The signal measurement module is used to measure the duty cycle of the PWM output and the displacement of the linear displacement sensor module. The balance duty cycle identification algorithm module is used to identify the balance duty cycle when the solenoid valve is stable. The dead zone energy identification algorithm module is used to identify the extreme dead zone energy required for the solenoid valve to drive the metering valve. The qualification identification algorithm module is used to identify the qualification of the metering valve.
[0007] Furthermore, the linear displacement sensor module receives a sinusoidal excitation signal and outputs VA and VB signals with variable amplitudes, wherein: The sinusoidal excitation signal is driven by the sensor signal conditioning module to drive the DDS chip and output as a sinusoidal signal through programming; both VA and VB signals are sinusoidal waves, and the amplitudes of VA and VB signals change according to the linear displacement, and the sum of their effective values is Vconst.
[0008] Furthermore, the sensor signal conditioning module includes a linear displacement sensor excitation signal conditioning module and a linear displacement sensor feedback signal conditioning module, wherein: The linear displacement sensor excitation signal conditioning module consists of a power supply, a DDS chip, and a signal filtering circuit. The power supply provides digital and analog power to the DDS chip, with the analog power supply being both positive and negative. The DDS chip is programmed and configured by the microprocessor in the arithmetic control module to output a sinusoidal signal. The signal filtering circuit is a second-order active Chebyshev filter, and the filtering parameters are adjusted by resistors and capacitors. The linear displacement sensor feedback signal conditioning module consists of a filter circuit, an RMS conversion circuit, and an AD converter. The filter circuit is a second-order active Chebyshev filter, and the filter parameters are adjusted by resistors and capacitors. The RMS conversion circuit extracts the RMS value of the AC signal through digital signal processing and converts it into an equivalent DC voltage. The AD converter is periodically driven by the arithmetic control module to achieve high-precision sampling of the DC signal and convert the analog voltage into a digital signal.
[0009] Furthermore, the signal measurement module includes a PWM duty cycle measurement module, a linear displacement sensor displacement measurement module, and a timestamp generation module, wherein: The PWM duty cycle measurement module receives the PWM signal output by the acquisition and calculation control module, isolates and shapes the signal through two stages of inverters, and then inputs it to the CAP signal input port of the microprocessor, where the CAP controller monitors the PWM signal duty cycle. The linear displacement sensor displacement measurement module comprises a signal acquisition module, a linear displacement calculation module, and a digital signal processing module. The signal acquisition module periodically acquires the VA and VB signals output by the AD converter. The linear displacement calculation module calculates the corresponding voltage values of VA and VB based on the acquired signals. According to the linear displacement sensor differential ratio and calculation method, and the correspondence between the differential ratio and the result and the bit value, the output of the linear displacement sensor is converted into a bit value. The measurement results are sorted and filtered by the median filtering digital signal processing algorithm. The timestamp generation module generates high-precision timestamps from the arithmetic control module and outputs them to the signal measurement module, which then adds timestamps to the PWM duty cycle and linear displacement measurement results.
[0010] Furthermore, the operation and control module includes a microprocessor module, a DDS programming control module, an AD converter acquisition control module, a PWM output control module, and a model identification algorithm operation and control module, wherein: The microprocessor module serves as the deployment platform for the computational control software of other modules; The DDS programming control module interacts with the microprocessor module via a serial bus to program the excitation signal of the linear displacement sensor. The AD converter acquisition control module periodically controls the sampling start signal of the AD converter according to the sampling rate required by the system, waits for the AD conversion end signal, and reads the AD conversion result; The PWM output control module receives the PWM duty cycle requirement output by the model identification algorithm module and configures the microprocessor's PWM controller to output the target duty cycle. The model identification algorithm operation control module implements the model identification algorithm function in the processor, including the decomposition and implementation of control timing.
[0011] Secondly, this application provides a method for testing the quality of a fuel regulator, the method being applied to the aforementioned fuel regulator quality testing device, the method comprising: Step 1: The balanced duty cycle identification algorithm module calculates the balanced duty cycle Da; Step 2: The dead zone energy identification algorithm module identifies the limit dead zone energy required for the solenoid valve to drive the metering valve based on the balanced duty cycle. The dead zone energy is defined as the product of the difference between the full duty cycle D1 and Da and the duty cycle duration t. Step 3: For N metering valves, repeat the test M times for each valve and record the dead zone energy E; Step 4: Check for outlier data values and remove them appropriately; Step 5: Calculate the mean and standard deviation of this data set; Step 6: Plot a normal distribution curve to verify whether the data distribution is consistent with the curve trend. Use the Shapiro-Wilk principle to check whether the dead zone energy value follows a normal distribution. Step 7: Based on the valve quality standard and the 2σ criterion, define the acceptable range. Products falling within the acceptable range are considered acceptable, while those falling outside are considered unacceptable. Step 8: For valves with excessive dead zone energy, appropriately reduce the friction; for valves with excessive dead zone energy, increase the friction.
[0012] Furthermore, step 1 includes: Step 11: Adjust the tester and testing equipment, set the duty cycle D range D1~D2, and set the step size Dstep; Step 12: Monitor the valve core displacement using the signal measurement module and record the current displacement L(D); Step 13: Gradually increase the duty cycle, maintain a stable output state for 3~5s, and record the next displacement L(D+1); Step 14: Determine L(D+1)-L(D). If |L(D+1)-L(D)|<δ, then record the duty cycle at this time as the balanced duty cycle Da, and output this balanced duty cycle to the dead zone energy identification algorithm module; if it is not satisfied, repeat step 3.
[0013] Furthermore, step 2 includes: Step 21: Set the initial action time t1, and the step size Δt as tstep; Step 22: Monitor the valve core displacement using the signal measurement module and record the current displacement L(t), where t is tstep; Step 23: Gradually increase the step size and record the displacement L(t+n*Δt) at the next moment, where n is the number of times the step size is increased; Step 24: Determine L(t+n*Δt)-L(t). If |L(t+n*Δt)-L(t)|>δ, record the duration of action t+n*Δt and calculate the dead zone energy E=ΔD*(t+n*Δt). Transmit the dead zone energy E to the qualification identification algorithm module. If not, n=n+1 and repeat step 3.
[0014] In summary, this invention proposes a fuel regulator quality qualification testing device and method. By identifying the dead zone energy required to drive the valve and using a large amount of data for parameter fitting, a method for identifying the qualification of the metering device is provided. At the same time, it serves as an important basis for valve fault diagnosis and health management, laying the foundation for improving the control performance and operational safety of aero-engines. Attached Figure Description
[0015] Figure 1 This is a schematic diagram of a fuel regulator quality compliance testing device provided in this application. Detailed Implementation
[0016] Example 1 like Figure 1 As shown, this application provides a fuel regulator quality compliance testing device, including: a PWM generation module, a solenoid valve module, a linear displacement sensor (LVDT) module, a sensor signal conditioning module, a signal measurement module, a calculation and control module, a balance duty cycle identification algorithm module, a dead zone energy identification algorithm module, and a compliance identification algorithm module, wherein: The PWM generation module is connected to the arithmetic control unit at its input and to the solenoid valve drive module at its output. The solenoid valve module is electrically connected to the solenoid valve drive module at its input and mechanically connected to the metering valve at its output. The linear displacement sensor (LVDT) module is connected to the solenoid valve at its input and to the sensor signal conditioning module at its output. The sensor signal conditioning module is connected to the linear displacement sensor (LVDT) module at its input and to the arithmetic control module at its output. The arithmetic control module is connected to the sensor signal conditioning module, the PWM generation module, the balanced duty cycle identification algorithm module, the dead zone energy identification algorithm module, and the pass / fail identification algorithm module, respectively. The balanced duty cycle identification algorithm module is connected to the dead zone energy identification algorithm module. The dead zone energy identification algorithm module is connected to both the balanced duty cycle identification algorithm module and the pass / fail identification algorithm module.
[0017] The computation control unit is the core of the device's computation control. On one hand, it outputs a PWM signal, which is converted into a power signal by the drive module and output to the solenoid valve. On the other hand, it reads the LVDT acquisition information and calculates the valve stroke. At the same time, it also carries the calculation of the algorithm identification module, provides computation control resources for the operation of the algorithm module, and realizes the scheduling of the algorithm module. The PWM generation module is used to generate pulse width modulation signals to control the working state of the solenoid valve; The solenoid valve drive module converts the control signal, i.e., the PWM signal, into a power signal that can drive the solenoid valve to work. The solenoid valve is used to receive control signals and perform switching actions to drive the valve core of the metering valve to move and control its opening, closing or opening degree adjustment. The metering valve is the controlled object, and its opening degree affects the fuel flow metering. The LVDT is used to measure the valve travel. It outputs a voltage signal through electromagnetic induction. The voltage amplitude is proportional to the displacement, and the phase reflects the direction of motion. The sensor signal conditioning module is used to generate excitation for the linear displacement sensor and condition the sinusoidal signal output by the linear displacement sensor; at the same time, it conditions the LVDT voltage signal and converts it into a voltage signal that can be acquired by the operation and control unit. The signal measurement module is used to measure the PWM output duty cycle and LVDT displacement. The balance duty cycle identification algorithm module is used to identify the balance duty cycle when the solenoid valve is stable. The dead zone energy identification algorithm module is used to identify the extreme dead zone energy required for the solenoid valve to drive the metering valve. The qualification identification algorithm module is used to identify the qualification of the metering valve.
[0018] Specifically, the linear displacement sensor module receives a sinusoidal excitation signal and outputs VA and VB signals with variable amplitudes.
[0019] The sinusoidal excitation signal is driven by the sensor signal conditioning module to the DDS chip and output as a sinusoidal signal with an effective amplitude of Vconst through programming. Both VA and VB signals are sinusoidal waves, and their amplitudes vary according to the linear displacement. The sum of their effective values is Vconst.
[0020] Specifically, the sensor signal conditioning module includes a linear displacement sensor excitation signal conditioning module and a linear displacement sensor feedback signal conditioning module.
[0021] The linear displacement sensor excitation signal conditioning module consists of a power supply, a DDS chip, and a signal filtering circuit. The power supply provides both digital and analog power to the DDS chip, with the analog power supply being both positive and negative. The DDS chip is programmed and configured by the microprocessor in the arithmetic control module to output a sinusoidal signal with an effective value of Vconst at k Hz. The signal filtering circuit is a second-order active Chebyshev filter, and the filtering parameters are adjusted by resistors and capacitors.
[0022] The linear displacement sensor feedback signal conditioning module consists of a filter circuit, an RMS conversion circuit, and an AD converter. The filter circuit is a second-order active Chebyshev filter, and the filter parameters are adjusted by resistors and capacitors. The RMS conversion circuit is implemented by a dedicated integrated chip, extracting the RMS value of the AC signal through digital signal processing methods and converting it into an equivalent DC voltage. The AD converter is periodically driven by the arithmetic control module to achieve high-precision sampling of the DC signal and convert the analog voltage into a digital signal.
[0023] Specifically, the signal measurement module includes a PWM duty cycle measurement module, a linear displacement sensor displacement measurement module, and a timestamp generation module.
[0024] The PWM duty cycle measurement module receives the PWM signal output by the acquisition and calculation control module, isolates and shapes the signal through two stages of inverters, and then inputs it to the CAP signal input port of the microprocessor, where the CAP controller monitors the PWM signal duty cycle.
[0025] The linear displacement sensor displacement measurement module comprises a signal acquisition module, a linear displacement calculation module, and a digital signal processing module. The signal acquisition module periodically acquires the VA and VB signals output from the AD converter. Based on the acquired VA and VB, the linear displacement calculation module calculates their corresponding voltage values. According to the linear displacement sensor differential ratio and calculation method, and the correspondence between the differential ratio and the result and the bit value, the output of the linear displacement sensor is converted into bit values. The measurement results are then sorted and filtered using a median filtering digital signal processing algorithm.
[0026] The timestamp generation module generates high-precision timestamps from the arithmetic control module and outputs them to the signal measurement module, which then adds timestamps to the PWM duty cycle and linear displacement measurement results.
[0027] Specifically, the operation and control module includes a microprocessor module, a DDS programming control module, an AD converter acquisition control module, a PWM output control module, and a model identification algorithm operation and control module.
[0028] The microprocessor module serves as the deployment platform for the computational control software of other modules and is also the core of the computational control of the entire device.
[0029] The DDS programming control module interacts with the microprocessor module via a serial bus to program the excitation signal of the linear displacement sensor.
[0030] The AD converter acquisition control module periodically controls the sampling start signal of the AD converter according to the sampling rate required by the system, waits for the AD conversion end signal, and reads the AD conversion result.
[0031] The PWM output control module receives the PWM duty cycle requirement output by the model identification algorithm module and configures the microprocessor's PWM controller to output the target duty cycle.
[0032] The model identification algorithm operation control module implements the model identification algorithm function in the processor, mainly including the decomposition and implementation of control timing.
[0033] Example 2 This application provides a method for testing the quality of a fuel regulator, applied to the fuel regulator quality testing device provided in the above embodiments, wherein: Specifically, the steps of the balanced duty cycle identification algorithm module are as follows: Step 1: Adjust the tester and testing equipment, set the duty cycle D to the range D1~D2, and set the step size Dstep; Step 2: Monitor the valve core displacement using the signal measurement module and record the current displacement L(D); Step 3: Gradually increase the duty cycle, maintain a stable output state for 3~5s, and record the next displacement L(D+1); Step 4: Determine L(D+1)-L(D). If |L(D+1)-L(D)|<δ, then record the duty cycle at this time as the balanced duty cycle Da, and output this balanced duty cycle to the dead zone energy identification algorithm module; if it is not satisfied, repeat step 3.
[0034] Specifically, the dead-zone energy identification algorithm module is used to identify the limit dead-zone energy required for the solenoid valve to drive the metering valve. The dead-zone energy is defined as the product of the difference (ΔD) between the 100% duty cycle D1 and Da, and the duty cycle duration t. The identification algorithm has the following steps: Step 1: Set the initial action time t1, and the step size Δt as tsetp; Step 2: Monitor the valve core displacement using the signal measurement module and record the current displacement L(t), where t is tstep; Step 3: Gradually increase the step size and record the displacement L(t+n*Δt) at the next moment, where n is the number of times the step size is increased; Step 4: Determine L(t+n*Δt)-L(t). If |L(t+n*Δt)-L(t)|>δ, record the duration t+n*Δt and calculate the dead zone energy E=ΔD*(t+n*Δt). Transmit the dead zone energy E to the qualification identification algorithm module. If not, n=n+1 and repeat step 3.
[0035] Specifically, the steps of the qualification identification algorithm module are as follows: Step 1: For 1000 metering valves of the same model, repeat the test 10 times for each valve and record the dead zone energy E; Step 2: Check for outlier data values and remove them appropriately; Step 3: Calculate the mean and standard deviation of this data set: μ = (x1 + x2 + ... + xn) / n; σ = √[∑(xi - μ)2 / (n - 1)]; Step 4: Plot a normal distribution curve to verify whether the data distribution is consistent with the curve trend. Use the Shapiro-Wilk principle to check whether the dead zone energy value follows a normal distribution. Step 5: Based on the valve quality standard and the 2σ criterion, define the acceptable range. Products falling within the acceptable range are considered acceptable, while those falling outside are considered unacceptable. Step 6: For valves with excessive dead zone energy, the friction can be appropriately reduced; for valves with excessive dead zone energy, the friction can be appropriately increased.
[0036] In summary, this invention proposes a fuel regulator quality compliance testing device, providing a model reference for the compliance screening of metering valves; this is beneficial for improving the precision control and operational safety of aero-engines. This invention is applied to the fuel control system of aero-engines. Its main function is to construct a compliance identification method for fuel regulator metering devices, providing a model reference for the compliance screening and optimization of metering valves, thereby improving the safety and reliability of the aero-engine fuel control system and the engine itself.
Claims
1. A fuel regulator quality conformity testing device, characterized in that, include: The system includes a PWM generation module, a solenoid valve module, a linear displacement sensor module, a sensor signal conditioning module, a signal measurement module, a computation and control unit, a balanced duty cycle identification algorithm module, a dead zone energy identification algorithm module, and a pass / fail identification algorithm module, among which: The PWM generation module is connected to the arithmetic control unit at its input and to the solenoid valve drive module at its output. The solenoid valve module is electrically connected to the solenoid valve drive module at its input and mechanically connected to the metering valve at its output. The linear displacement sensor module is connected to the solenoid valve at its input and to the sensor signal conditioning module at its output. The sensor signal conditioning module is connected to the linear displacement sensor module at its input and to the arithmetic control module at its output. The arithmetic control module is connected to the sensor signal conditioning module, the PWM generation module, the balanced duty cycle identification algorithm module, the dead zone energy identification algorithm module, and the pass / fail identification algorithm module, respectively. The balanced duty cycle identification algorithm module is connected to the dead zone energy identification algorithm module. The dead zone energy identification algorithm module is connected to both the balanced duty cycle identification algorithm module and the pass / fail identification algorithm module.
2. The apparatus according to claim 1, characterized in that, The computation control unit is the core of the device's computation control. On one hand, it outputs a PWM signal, which is converted into a power signal by the drive module and output to the solenoid valve. On the other hand, it reads the LVDT acquisition information and calculates the valve stroke. At the same time, it also carries the calculation of the algorithm identification module, provides computation control resources for the operation of the algorithm module, and realizes the scheduling of the algorithm module.
3. The apparatus according to claim 1, characterized in that, The PWM generation module is used to generate pulse width modulation signals to control the working state of the solenoid valve. The solenoid valve drive module converts the control signal, i.e., the PWM signal, into a power signal that can drive the solenoid valve to work. The solenoid valve is used to receive control signals and perform switching actions to drive the valve core of the metering valve to move and control its opening, closing or opening degree adjustment. The metering valve is the controlled object, and its opening degree affects the fuel flow metering. The linear displacement sensor module is used to measure the valve travel. It outputs a voltage signal through electromagnetic induction. The voltage amplitude is proportional to the displacement, and the phase reflects the direction of motion. The sensor signal conditioning module is used to generate excitation for the linear displacement sensor and condition the sinusoidal signal output by the linear displacement sensor; at the same time, it conditions the voltage signal of the linear displacement sensor module and converts it into a voltage signal that can be acquired by the operation and control unit. The signal measurement module is used to measure the duty cycle of the PWM output and the displacement of the linear displacement sensor module. The balance duty cycle identification algorithm module is used to identify the balance duty cycle when the solenoid valve is stable. The dead zone energy identification algorithm module is used to identify the extreme dead zone energy required for the solenoid valve to drive the metering valve. The qualification identification algorithm module is used to identify the qualification of the metering valve.
4. The apparatus according to claim 1, characterized in that, The linear displacement sensor module receives a sinusoidal excitation signal and outputs VA and VB signals with variable amplitudes, wherein: The sinusoidal excitation signal is driven by the sensor signal conditioning module to drive the DDS chip and output as a sinusoidal signal through programming; both VA and VB signals are sinusoidal waves, and the amplitudes of VA and VB signals change according to the linear displacement, and the sum of their effective values is Vconst.
5. The apparatus according to claim 1, characterized in that, The sensor signal conditioning module includes a linear displacement sensor excitation signal conditioning module and a linear displacement sensor feedback signal conditioning module, wherein: The linear displacement sensor excitation signal conditioning module consists of a power supply, a DDS chip, and a signal filtering circuit. The power supply provides digital and analog power to the DDS chip, with the analog power supply being both positive and negative. The DDS chip is programmed and configured by the microprocessor in the arithmetic control module to output a sinusoidal signal. The signal filtering circuit is a second-order active Chebyshev filter, and the filtering parameters are adjusted by resistors and capacitors. The linear displacement sensor feedback signal conditioning module consists of a filter circuit, an RMS conversion circuit, and an AD converter. The filter circuit is a second-order active Chebyshev filter, and the filter parameters are adjusted by resistors and capacitors. The RMS conversion circuit extracts the RMS value of the AC signal through digital signal processing and converts it into an equivalent DC voltage. The AD converter is periodically driven by the arithmetic control module to achieve high-precision sampling of the DC signal and convert the analog voltage into a digital signal.
6. The apparatus according to claim 1, characterized in that, The signal measurement module includes a PWM duty cycle measurement module, a linear displacement sensor displacement measurement module, and a timestamp generation module, wherein: The PWM duty cycle measurement module receives the PWM signal output by the acquisition and calculation control module, isolates and shapes the signal through two stages of inverters, and then inputs it to the CAP signal input port of the microprocessor, where the CAP controller monitors the PWM signal duty cycle. The linear displacement sensor displacement measurement module comprises a signal acquisition module, a linear displacement calculation module, and a digital signal processing module. The signal acquisition module periodically acquires the VA and VB signals output by the AD converter. The linear displacement calculation module calculates the corresponding voltage values of VA and VB based on the acquired signals. According to the linear displacement sensor differential ratio and calculation method, and the correspondence between the differential ratio and the result and the bit value, the output of the linear displacement sensor is converted into a bit value. The measurement results are sorted and filtered by the median filtering digital signal processing algorithm. The timestamp generation module generates high-precision timestamps from the arithmetic control module and outputs them to the signal measurement module, which then adds timestamps to the PWM duty cycle and linear displacement measurement results.
7. The apparatus according to claim 1, characterized in that, The operation and control module includes a microprocessor module, a DDS programming control module, an AD converter acquisition control module, a PWM output control module, and a model identification algorithm operation and control module, wherein: The microprocessor module serves as the deployment platform for the computational control software of other modules; The DDS programming control module interacts with the microprocessor module via a serial bus to program the excitation signal of the linear displacement sensor. The AD converter acquisition control module periodically controls the sampling start signal of the AD converter according to the sampling rate required by the system, waits for the AD conversion end signal, and reads the AD conversion result; The PWM output control module receives the PWM duty cycle requirement output by the model identification algorithm module and configures the microprocessor's PWM controller to output the target duty cycle. The model identification algorithm operation control module implements the model identification algorithm function in the processor, including the decomposition and implementation of control timing.
8. A method for testing the quality of a fuel regulator, characterized in that, The method is applied to the fuel regulator quality conformity testing device according to any one of claims 1 to 7, and the method includes: Step 1: The balanced duty cycle identification algorithm module calculates the balanced duty cycle Da; Step 2: The dead zone energy identification algorithm module identifies the limit dead zone energy required for the solenoid valve to drive the metering valve based on the balanced duty cycle. The dead zone energy is defined as the product of the difference between 100% duty cycle D1 and Da and the duty cycle duration t. Step 3: For N metering valves, repeat the test M times for each valve and record the dead zone energy E; Step 4: Check for outlier data values and remove them appropriately; Step 5: Calculate the mean and standard deviation of this data set; Step 6: Plot a normal distribution curve to verify whether the data distribution is consistent with the curve trend. Use the Shapiro-Wilk principle to check whether the dead zone energy value follows a normal distribution. Step 7: Based on the valve quality standard and the 2σ criterion, define the acceptable range. Products falling within the acceptable range are considered acceptable, while those falling outside are considered unacceptable. Step 8: For valves with excessive dead zone energy, appropriately reduce the friction; for valves with excessive dead zone energy, increase the friction.
9. The method according to claim 8, characterized in that, Step 1 includes: Step 11: Adjust the tester and testing equipment, set the duty cycle D range D1~D2, and set the step size Dstep; Step 12: Monitor the valve core displacement using the signal measurement module and record the current displacement L(D); Step 13: Gradually increase the duty cycle, maintain a stable output state T, and record the next displacement L(D+1); Step 14: Determine L(D+1)-L(D). If |L(D+1)-L(D)|<δ, then record the duty cycle at this time as the balanced duty cycle Da, and output this balanced duty cycle to the dead zone energy identification algorithm module; if it is not satisfied, repeat step 3.
10. The method according to claim 8, characterized in that, Step 2 includes: Step 21: Set the initial action time t1, and the step size Δt as tstep; Step 22: Monitor the valve core displacement using the signal measurement module and record the current displacement L(t), where t is tstep; Step 23: Gradually increase the step size and record the displacement L(t+n*Δt) at the next moment, where n is the number of times the step size is increased; Step 24: Determine L(t+n*Δt)-L(t). If |L(t+n*Δt)-L(t)|>δ, record the duration of action t+n*Δt and calculate the dead zone energy E=ΔD*(t+n*Δt). Transmit the dead zone energy E to the qualification identification algorithm module. If not, n=n+1 and repeat step 3.