A control model identification device for a fuel regulator

Abstract

This invention discloses a control model identification device for a fuel regulator. The device includes a sensor signal conditioning module connected to a linear displacement sensor and an angular displacement sensor, which generates excitation signals for the sensors and conditions their output signals. A signal measurement module outputs a PWM signal and a linear displacement signal LA to an actuator 1 model identification algorithm module to identify the control model of actuator 1. It also outputs the linear displacement signal LA and the angular signal A to an actuator 2 model identification algorithm module to identify the control model of actuator 2. Finally, a fuel regulator overall model identification algorithm module calculates the overall fuel regulator model based on the control models of actuators 1 and 2. This invention solves the problem that existing control methods struggle to achieve optimal performance under all engine operating conditions, leading to fluctuations in engine fuel control and seriously threatening engine operational safety.

Description

Technical Field

[0001] This invention relates to, but is not limited to, the field of aircraft engine fuel control technology, and particularly to a control model identification device for a fuel regulator. Background Technology

[0002] The fuel regulator is the core component of the engine fuel control system. When the engine is running, the aero-engine digital electronic controller performs real-time closed-loop control of the fuel regulator to meet the engine's fuel system requirements and ensure the safe operation of the aero-engine.

[0003] The control parameters of the control algorithms in existing digital electronic controllers are obtained by trial and error, which makes it difficult to achieve optimal performance under all operating conditions of the engine. In some operating conditions, control instability may even occur, leading to fluctuations in engine fuel control and seriously threatening the engine's operational safety. Summary of the Invention

[0004] The purpose of this invention is to solve the above-mentioned technical problems. This invention provides a control model identification device for a fuel regulator, which addresses the problem that existing control methods for regulating fuel regulators use trial-and-error methods to obtain control parameters, making it difficult to achieve optimal performance under all engine operating conditions. In some cases, control instability may even occur, leading to fluctuations in engine fuel control and seriously threatening engine operational safety.

[0005] The technical solution of the present invention: The present invention provides a control model identification device for a fuel regulator. The fuel regulator includes an actuator 1, an actuator 2, a linear displacement sensor (LVDT) for measuring the valve travel in the actuator 1, and an angular displacement sensor for measuring the actuating cylinder angle in the actuator 2. The actuator 1 receives a PWM signal and outputs a linear displacement signal LA. The actuator 2 takes the linear displacement signal LA as input and outputs an angle signal A. The control model identification device for the fuel regulator includes: a sensor signal conditioning module, a signal measurement module, an actuator 1 model identification algorithm module, an actuator 2 model identification algorithm module, and a fuel regulator overall model identification algorithm module.

[0006] The sensor signal conditioning module is connected to both the linear displacement sensor (LVDT) and the angular displacement sensor. It is used to generate the excitation signal for the linear displacement sensor and condition the sinusoidal signal output by the linear displacement sensor. It is also used to generate the excitation signal for the angular displacement sensor and condition the sinusoidal signal output by the angular displacement sensor.

[0007] The signal measurement module is connected to the input and output terminals of actuator 1 and the output terminal of actuator 2, respectively. It is used to measure the PWM signal input to the fuel regulator, the linear displacement signal LA output by actuator 1, and the angle signal A output by actuator 2 in real time. The PWM signal and the linear displacement signal LA are output to the model identification algorithm module of actuator 1 to identify the control model of actuator 1. The linear displacement signal LA and the angle signal A are output to the model identification algorithm module of actuator 2 to identify the control model of actuator 2.

[0008] The fuel regulator overall model identification algorithm module is used to calculate the overall model of the fuel regulator by using the control models of actuator 1 and actuator 2 output by the actuator 1 model identification algorithm module and actuator 2 model identification algorithm module, respectively.

[0009] Optionally, in the control model identification device of the fuel regulator as described above,

[0010] The sensor signal conditioning module outputs a 3000Hz sine wave excitation signal with an effective amplitude of 3V to the linear displacement sensor LVDT.

[0011] The voltage signals VA and VB output by the linear displacement sensor are both 3000Hz sine wave signals, and the amplitudes of the voltage signals VA and VB change according to the linear displacement. The sum of their effective values ​​is 3V. The voltage signals VA and VB are used to calculate the linear displacement signal LA.

[0012] Optionally, in the control model identification device of the fuel regulator as described above,

[0013] The angular displacement sensor uses a rotary transformer, which is coaxially mounted with the actuator cylinder in the actuator 2, and the rotary transformer has a resolver ratio of 0.4.

[0014] The excitation signal output by the sensor signal conditioning module to the angular displacement sensor is a differential sine signal, and the output signal of the angular displacement sensor is also a differential sine signal.

[0015] Optionally, in the control model identification device for the fuel regulator as described above, the sensor signal conditioning module includes: a linear displacement sensor excitation signal conditioning unit connected to the input terminal of the linear displacement sensor LVDT, a linear displacement sensor feedback signal conditioning unit connected to the output terminal of the linear displacement sensor LVDT, an angular displacement sensor excitation signal conditioning unit connected to the input terminal of the angular displacement sensor, and an angular displacement sensor feedback signal conditioning unit connected to the output terminal of the angular displacement sensor.

[0016] The sensor signal conditioning module is used to generate an excitation signal acting on the linear displacement sensor through the linear displacement sensor excitation signal conditioning unit, and to collect and condition the voltage signals VA and VB output by the linear displacement sensor through the linear displacement sensor feedback signal conditioning unit, and transmit the conditioned signals to the signal measurement module.

[0017] The sensor signal conditioning module is also used to generate an excitation signal acting on the angular displacement sensor through the angular displacement sensor excitation signal conditioning unit, and to collect and condition the differential sinusoidal signal output by the angular displacement sensor through the angular displacement sensor feedback signal conditioning unit, and transmit the conditioned signal to the signal measurement module.

[0018] Optionally, in the control model identification device for the fuel regulator as described above, the input terminal of the signal measurement module is connected to the output terminal of the linear displacement sensor feedback signal conditioning unit, the output terminal of the angular displacement sensor feedback signal conditioning unit, and the input terminal of the actuator 1, respectively; and the signal measurement module includes: a PWM duty cycle measurement unit, a linear displacement sensor displacement measurement unit, and an angular displacement sensor angle measurement unit;

[0019] The PWM duty cycle measurement unit is used to collect the PWM signal input to the actuator 1, and after the PWM signal is isolated and shaped by two stages of inverters, the duty cycle is calculated by the duty cycle measurement algorithm.

[0020] The linear displacement sensor displacement measurement unit is used to perform signal pickup, linear displacement calculation and digital signal processing. Through the periodic pickup and calculation of the voltage signals VA and VB transmitted by the linear displacement sensor feedback signal conditioning unit, the output of the linear displacement sensor is converted into bit values, and the measurement results are sorted and filtered by the median filtering digital signal processing algorithm.

[0021] The angular displacement sensor angle measurement unit is used to periodically read the differential sine signal output by the angular displacement sensor feedback signal conditioning unit and calculate the angle signal.

[0022] Optionally, in the control model identification device for the fuel regulator as described above, the model identification algorithm module for the actuator 1 includes: a bandwidth testing unit, a Bode plot testing unit for the actuator 1, and a transfer function extraction unit for the actuator 1 connected in sequence;

[0023] Among them, the bandwidth testing unit is used to determine the open-loop bandwidth of actuator 1 by tracking the step response of actuator 1;

[0024] The Bode plot test unit for actuator 1 is used to perform open-loop Bode plot testing on actuator 1 in order to plot the amplitude frequency response curve and phase frequency response curve of actuator 1.

[0025] The transfer function extraction unit of actuator 1 is used to convert the amplitude frequency characteristic curve data and phase frequency characteristic curve data of actuator 1 into data, thereby calculating the transfer function of actuator 1, which is the control model of actuator 1.

[0026] Optionally, in the control model identification device for the fuel regulator as described above, the model identification algorithm module for the actuator 2 includes: a closed-loop control unit for the actuator 1, a Bode plot measurement unit for the actuator 2, and a transfer function extraction unit for the actuator 2;

[0027] Among them, the closed-loop control unit of actuator 1 is connected to the output of the transfer function extraction unit of actuator 1, and is used to design the closed-loop controller of actuator 1 based on the transfer function of actuator 1 and the closed-loop control objective, so as to realize the closed-loop control of actuator 1;

[0028] The Bode plot measurement unit for actuator 2 is used to perform open-loop Bode plot testing on actuator 2 in order to plot the amplitude-frequency response curve and phase-frequency response curve of actuator 2.

[0029] The transfer function extraction unit of actuator 2 is connected to the Bode plot measurement unit of actuator 2. It is used to convert the amplitude frequency response curve data and phase frequency response curve data of actuator 2 into data, thereby calculating the transfer function of actuator 2, which is the control model of actuator 2.

[0030] Optionally, in the control model identification device of the fuel regulator as described above,

[0031] The fuel regulator overall model identification algorithm module is specifically used to perform a product operation on the transfer function of actuator 1 and the transfer function of actuator 2 to obtain the overall transfer function model of the fuel regulator.

[0032] The beneficial effects of this invention are as follows: This invention provides a control model identification device for a fuel regulator, which works in conjunction with the fuel regulator to conduct experiments and identify the control model based on the experimental data. Based on the structure of the fuel regulator, the sensor signal conditioning module in this control model identification device is connected to both a linear displacement sensor (LVDT) and an angular displacement sensor, respectively, to generate excitation signals for the LVDT and the angular displacement sensor, and to condition the signals output by the LVDT and angular displacement sensors, respectively. The signal measurement module measures the PWM signal input to the fuel regulator and the linear displacement signal output by the actuator 1 in real time. LA, the angle signal A output by actuator 2, outputs the PWM signal and linear displacement signal LA to the actuator 1 model identification algorithm module to identify the control model of actuator 1; the linear displacement signal LA and angle signal A are output to the actuator 2 model identification algorithm module to identify the control model of actuator 2; finally, the fuel regulator overall model identification algorithm module calculates the overall model of the fuel regulator using the control models of actuator 1 and actuator 2 output by the actuator 1 model identification algorithm module and the actuator 2 model identification algorithm module, respectively. The control model identification device provided in this embodiment of the invention has the following beneficial effects:

[0033] 1) Through experimental methods combined with theoretical analysis, a precise control model for the fuel regulator was constructed, providing a model reference for control system designers;

[0034] 2) Based on the construction of the fuel regulator control model, the design of the control algorithm can be based on the analytical method for accurate parameter matching, thereby obtaining the optimized control performance and safety margin under all operating conditions, improving the accuracy, robustness and optimization of the control system design, and facilitating the optimization of the controller under all operating conditions of the aero-engine.

[0035] 3) Improve the safety and reliability of the aircraft engine fuel control system and engine operation, and avoid the risk of engine control instability. Attached Figure Description

[0036] The accompanying drawings are provided to further understand the technical solutions of the present invention and constitute a part of the specification. They are used together with the embodiments of this application to explain the technical solutions of the present invention and do not constitute a limitation on the technical solutions of the present invention.

[0037] Figure 1 This is a schematic diagram of the fuel regulator in an embodiment of the present invention;

[0038] Figure 2 A schematic diagram illustrating the principle of the control model identification device for a fuel regulator provided in an embodiment of the present invention for performing model identification;

[0039] Figure 3 A schematic diagram of the sensor signal conditioning module and the signal measurement module in the control model identification device for a fuel regulator provided in an embodiment of the present invention;

[0040] Figure 4 for Figure 3 A schematic diagram of the structure of the linear displacement sensor excitation signal conditioning unit in the sensor signal conditioning module provided in the embodiment shown;

[0041] Figure 5 for Figure 3 A schematic diagram of the linear displacement sensor feedback signal conditioning unit in the sensor signal conditioning module provided in the embodiment shown;

[0042] Figure 6 for Figure 3 A schematic diagram of the structure of the angular displacement sensor excitation signal conditioning unit in the sensor signal conditioning module provided in the embodiment shown;

[0043] Figure 7 for Figure 6 A schematic diagram of the conditioning principle of the angular displacement sensor excitation signal conditioning unit provided in the embodiment shown;

[0044] Figure 8 for Figure 3 The schematic diagram of the angular displacement sensor feedback signal conditioning unit in the sensor signal conditioning module provided in the embodiment shown is as follows:

[0045] Figure 9 for Figure 8 The schematic diagram of the conditioning principle of the angular displacement sensor feedback signal conditioning unit provided in the embodiment shown is shown. Detailed Implementation

[0046] To make the objectives, technical solutions, and advantages of the present invention clearer, the embodiments of the present invention will be described in detail below with reference to the accompanying drawings. It should be noted that, unless otherwise specified, the embodiments and features described in this application can be arbitrarily combined with each other.

[0047] The present invention provides the following specific embodiments, which can be combined with each other. For the same or similar concepts or processes, they may not be described again in some embodiments.

[0048] This invention provides a control model identification device for a fuel regulator. This device works in conjunction with the fuel regulator to conduct tests and identifies the control model based on the test data. Figure 1The diagram shown is a schematic block diagram of the fuel regulator in an embodiment of the present invention. The fuel regulator consists of two parts: actuator 1 and actuator 2. Actuator 1 is used to receive PWM signals and output LA linear displacement signals; actuator 2 takes the LA linear displacement signal as input and outputs angle signal A; the entire fuel regulator takes PWM as input and angle signal A as output.

[0049] It should be noted that the sensors in the fuel regulator include:

[0050] A line displacement sensor (LVDT) is used to measure the valve travel (line displacement) in the fuel regulator actuator 1. It is rationally deployed in the fuel regulator in conjunction with the fuel regulator structure design.

[0051] An angular displacement sensor is used to measure the angle of the actuator cylinder in the fuel regulator actuator 2. It is rationally deployed in the fuel regulator in conjunction with the fuel regulator structure design.

[0052] For the fuel regulator with the above-mentioned structure, the control model identification device for the fuel regulator provided in this embodiment of the invention includes: a sensor signal conditioning module, a signal measurement module, an actuator 1 model identification algorithm module, an actuator 2 model identification algorithm module, and a fuel regulator overall model identification algorithm module.

[0053] In this embodiment of the invention, the sensor signal conditioning module is connected to both a linear displacement sensor (LVDT) and an angular displacement sensor. It is used to generate an excitation signal for the linear displacement sensor and condition the sinusoidal signal output by the linear displacement sensor; it is also used to generate an excitation signal for the angular displacement sensor and condition the sinusoidal signal output by the angular displacement sensor.

[0054] like Figure 2 The diagram shown illustrates the principle of model identification in the control model identification device for a fuel regulator according to an embodiment of the present invention. In this embodiment, the signal measurement module is connected to the input and output terminals of actuator 1 and actuator 2, respectively. It is used to measure in real time the PWM signal input to the fuel regulator, the linear displacement signal LA output by actuator 1, and the angle signal A output by actuator 2. The PWM signal and linear displacement signal LA are output to the model identification algorithm module of actuator 1, and the linear displacement signal LA and angle signal A are output to the model identification algorithm module of actuator 2.

[0055] The actuator 1 model identification algorithm module is used to identify the control model of actuator 1.

[0056] The actuator 2 model identification algorithm module is used to identify the control model of actuator 2.

[0057] The fuel regulator overall model identification algorithm module is used to calculate the overall model (transfer function) of the fuel regulator by using the control models (i.e., transfer functions) of actuator 1 and actuator 2 output by the actuator 1 model identification algorithm module and actuator 2 model identification algorithm module, respectively.

[0058] In one implementation of this invention, the linear displacement sensor (LVDT) in the fuel regulator is used to receive a 3000Hz sinusoidal excitation signal and output voltage signals VA and VB with variable amplitude. The linear displacement signal LA can be calculated from the voltage signals VA and VB.

[0059] The 3000Hz sinusoidal excitation signal output to the linear displacement sensor (LVDT) is specifically: a 3000Hz sinusoidal excitation signal with an effective amplitude of 3V is output by the sensor signal conditioning module; correspondingly, the voltage signals VA and VB output by the linear displacement sensor are both 3000Hz sinusoidal signals, and the amplitudes of voltage signals VA and VB change according to the linear displacement, and the sum of their effective values ​​is 3V.

[0060] In one implementation of this invention, the angular displacement sensor in the fuel regulator is a rotary transformer. The rotary transformer is coaxially mounted with the actuator cylinder in the actuator 2. The excitation signal of the rotary transformer is a differential sine signal with a reference voltage of 6V and a peak value of 6.48V. The rotary transformer outputs a differential sine signal with a peak-to-peak value of 5.184V and a resolver ratio of 0.4.

[0061] In one implementation of this invention, a solution for a sensor signal conditioning module is provided. Figure 3 This is a schematic diagram of the sensor signal conditioning module and the signal measurement module in the control model identification device for the fuel regulator provided in an embodiment of the present invention.

[0062] In this implementation, the sensor signal conditioning module includes: a linear displacement sensor excitation signal conditioning unit connected to the input terminal of the linear displacement sensor (LVDT), a linear displacement sensor feedback signal conditioning unit connected to the output terminal of the linear displacement sensor (LVDT), an angular displacement sensor excitation signal conditioning unit connected to the input terminal of the angular displacement sensor, and an angular displacement sensor feedback signal conditioning unit connected to the output terminal of the angular displacement sensor; the specific structure is as follows: Figure 3 As shown.

[0063] On one hand, an excitation signal acting on the linear displacement sensor is generated by the linear displacement sensor excitation signal conditioning unit, and the voltage signals VA and VB output by the linear displacement sensor are collected and conditioned by the linear displacement sensor feedback signal conditioning unit, and the conditioned signals are transmitted to the signal measurement module. On the other hand, an excitation signal acting on the angular displacement sensor is generated by the angular displacement sensor excitation signal conditioning unit, and the differential sinusoidal signal output by the angular displacement sensor is collected and conditioned by the angular displacement sensor feedback signal conditioning unit, and the conditioned signals are transmitted to the signal measurement module.

[0064] In one implementation of this approach, Figure 4 for Figure 3 The illustrated embodiment provides a schematic diagram of the linear displacement sensor excitation signal conditioning unit in the sensor signal conditioning module. The linear displacement sensor excitation signal conditioning unit consists of a DDS chip and a signal filtering circuit. The DDS chip is configured to output a 3000Hz sinusoidal signal with an effective value of 3V. The signal filtering circuit is a second-order active Chebyshev filter, with filtering parameters adjusted by resistors and capacitors. The filter stopband attenuation is configured to -40dB, and the cutoff frequency is configured to 10kHz.

[0065] In one implementation of this approach, Figure 5 for Figure 3 The illustrated embodiment provides a schematic diagram of the linear displacement sensor feedback signal conditioning unit in the sensor signal conditioning module. The linear displacement sensor feedback signal conditioning unit consists of a filter circuit, an RMS conversion circuit, and an AD converter. The filter circuit is a second-order active Chebyshev filter, with filter parameters adjusted by resistors and capacitors. The filter stopband attenuation is configured to -40dB, and the cutoff frequency is configured to 10kHz. The RMS conversion circuit is implemented using a dedicated integrated chip, extracting the RMS value of the AC signal through digital signal processing and converting it into an equivalent DC voltage. The AD converter performs high-precision sampling of the DC signal, converting the analog voltage into a digital signal.

[0066] In one implementation of this approach, Figure 6 for Figure 3 The schematic diagram shown in the embodiment illustrates the structure of the angular displacement sensor excitation signal conditioning unit in the sensor signal conditioning module. Figure 7 for Figure 6The illustrated embodiment provides a schematic diagram of the conditioning principle of the angular displacement sensor excitation signal conditioning unit. The angular displacement sensor excitation signal conditioning unit consists of a dedicated encoder / decoder chip for a rotary transformer, a filter, and a power amplifier. The dedicated encoder / decoder chip for the rotary transformer generates a differential sinusoidal excitation signal with a reference value of 2.5V, a peak value of 3.6V, and a frequency of 10kHz. The filter is a second-order active Chebyshev filter, with filtering parameters adjusted by resistors and capacitors. The filter stopband attenuation is configured to -40dB, and the cutoff frequency is configured to 50kHz. The power amplifier amplifies the filtered sinusoidal signal into an AC sinusoidal signal with a reference voltage of 6V and a peak value of 6.48V.

[0067] In one implementation of this approach, Figure 8 for Figure 3 The schematic diagram shown is of the structure of the angular displacement sensor feedback signal conditioning unit in the sensor signal conditioning module provided in the embodiment. Figure 9 for Figure 8 The illustrated embodiment provides a schematic diagram of the conditioning principle of the angular displacement sensor feedback signal conditioning unit. The angular displacement sensor feedback signal conditioning unit consists of a filter and an operational amplifier. The filter is a second-order active Chebyshev filter, with filter parameters adjusted by resistors and capacitors. The filter stopband attenuation is configured to -40dB, and the cutoff frequency is configured to 50kHz. The operational amplifier conditions the AC signal with a peak-to-peak value of 5.184V fed back from the resolver into a sinusoidal AC signal with a DC bias of 2.5V and a peak-to-peak value of 3.15V.

[0068] In one implementation of this invention, such as Figure 3 As shown, the input terminals of the signal measurement module are respectively connected to the output terminals of the linear displacement sensor feedback signal conditioning unit, the output terminals of the angular displacement sensor feedback signal conditioning unit, and the input terminal of the actuator 1. The signal measurement module includes: a PWM duty cycle measurement unit, a linear displacement sensor displacement measurement unit, and an angular displacement sensor angle measurement unit.

[0069] The PWM duty cycle measurement unit in this implementation is used to acquire the PWM signal input to the actuator 1, and after the PWM signal is isolated and shaped by two stages of inverters, the duty cycle is calculated by the duty cycle measurement algorithm.

[0070] In this implementation, the linear displacement sensor displacement measurement unit is used to perform signal acquisition, linear displacement calculation, and digital signal processing. The signal acquisition function periodically acquires the voltage signals VA and VB output by the linear displacement sensor feedback signal conditioning unit. During the linear displacement calculation, based on the acquired voltage signals VA and VB, the corresponding voltage values ​​are calculated respectively. Based on 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 median filtering digital signal processing algorithm sorts and performs median filtering on the measurement results.

[0071] In this implementation, the angular displacement sensor angle measurement unit periodically reads the results from the rotary transformer codec chip. The read digital quantity is then further converted into an angle signal based on the calculation rules of the codec chip.

[0072] In one implementation of this invention, such as Figure 2 As shown, the actuator 1 model identification algorithm module includes: a bandwidth test unit, an actuator 1 Bode plot test unit, and an actuator 1 transfer function extraction unit connected in sequence.

[0073] In this implementation, the bandwidth testing unit determines the open-loop bandwidth of actuator 1 by tracking the step response of actuator 1. The testing method is as follows:

[0074] (1) Based on experience, determine the balance duty cycle of actuator 1;

[0075] (2) Set the duty cycle step, and the step amount is 1% of the balance duty cycle.

[0076] (3) The duty cycle step duration is 0.5s, the balance duty cycle maintenance time is 0.5s, that is, the step control cycle is 1s, and the PWM signal after setting the duty cycle is applied to the PWM input port of actuator 1.

[0077] (4) From the moment the step duty cycle is applied, the signal measurement module monitors the LA1 displacement output, identifies the steady-state final value, and records the 10% to 90% signal rise time as 3T. The T value is then calculated.

[0078] (5) Repeat steps (1) to (4). After the duty cycle step is greater than a certain threshold, the increase of the duty cycle has almost no effect on the value of T. At this time, T is the time constant.

[0079] (6) Calculate f = 1 / T based on T, which is the open-loop bandwidth of actuator 1.

[0080] In this implementation, the Bode plot test unit for actuator 1 performs open-loop Bode plot testing on actuator 1. The test method is as follows:

[0081] (1) Based on experience, determine the balance duty cycle of actuator 1;

[0082] (2) Set the duty cycle step value to 2%, that is, apply the duty cycle as the equilibrium duty cycle + 2%;

[0083] (3) From 0.5Hz to the open-loop bandwidth, in 0.5Hz increments, the time for applying the balanced duty cycle is half of the period, and the time for applying the balanced duty cycle + 2% duty cycle is half of the period;

[0084] (4) The step frequency and the final value of the linear displacement sensor are monitored by the signal measurement module, and the amplitude gain and phase hysteresis corresponding to each frequency point are statistically analyzed.

[0085] (5) Combine frequency point, amplitude gain, and phase lag to plot the amplitude frequency characteristic curve and phase frequency characteristic curve of actuator 1.

[0086] In this implementation, the transfer function extraction unit of actuator 1 converts the amplitude frequency response curve data and phase frequency response curve data of actuator 1 according to the requirements of mathematical tools. The mathematical tools automatically calculate the transfer function of actuator 1 based on the data, which is the control model of actuator 1.

[0087] In one implementation of this invention, such as Figure 2 As shown, the actuator 2 model identification algorithm module includes: actuator 1 closed-loop control unit, actuator 2 Bode plot measurement unit and actuator 2 transfer function extraction unit.

[0088] In this implementation, the closed-loop control unit of actuator 1 is connected to the output of the transfer function extraction unit of actuator 1. It is used to design the closed-loop controller of actuator 1 based on the transfer function of actuator 1 and the closed-loop control objective, realize the closed-loop control of actuator 1, and provide experimental conditions for the model identification of actuator 2.

[0089] The Bode plot measurement unit for actuator 2 implements open-loop Bode plot testing of actuator 2; the testing method is as follows:

[0090] (1) Generate a command signal. The command signal consists of a DC quantity superimposed with a sinusoidal disturbance. The DC quantity is 50% of the total stroke of the linear displacement sensor, and the disturbance amplitude is 5% of the total stroke of the linear displacement sensor. The frequency of the disturbance signal ranges from 0.5Hz to 20Hz, with a step of 0.5Hz.

[0091] (2) The instruction signal is input to the closed-loop controller of actuator 1, and the closed-loop controller of actuator 1 tracks the sine instruction LA. The result is the input signal of actuator 2.

[0092] (3) The sinusoidal input LA of the actuator 2 and the angle signal A output by the actuator 2 are monitored by the signal measurement module, and the amplitude gain and phase lag corresponding to each frequency point are statistically analyzed.

[0093] (4) Combine frequency point, amplitude gain, and phase lag to plot the amplitude frequency characteristic curve and phase frequency characteristic curve of actuator 2.

[0094] The transfer function extraction unit of the actuator 2 is connected to the Bode plot measurement unit of the actuator 2. The amplitude frequency response curve data and phase frequency response curve data of the actuator 2 are converted according to the requirements of the mathematical tool. The mathematical tool automatically calculates the transfer function of the actuator 2 based on the data, which is the control model of the actuator 2.

[0095] In specific implementation, the fuel regulator overall model identification algorithm module is used to perform a product operation on the transfer function of actuator 1 and the transfer function of actuator 2 to obtain the overall transfer function model of the fuel regulator.

[0096] The control model identification device for a fuel regulator provided in this embodiment of the invention works in conjunction with the fuel regulator to conduct experiments and identify the control model based on the experimental data. Based on the structure of the fuel regulator, the sensor signal conditioning module in this control model identification device is connected to both a linear displacement sensor (LVDT) and an angular displacement sensor, respectively, to generate excitation signals for the LVDT and the angular displacement sensor, and to condition the signals output by the LVDT and angular displacement sensors, respectively. The signal measurement module measures the PWM signal input to the fuel regulator in real time and the linear displacement signal LA output by the actuator 1, and then executes... The angle signal A output by mechanism 2 is used to output the PWM signal and the linear displacement signal LA to the model identification algorithm module of actuator 1, so as to identify the control model of actuator 1. The linear displacement signal LA and the angle signal A are also output to the model identification algorithm module of actuator 2, so as to identify the control model of actuator 2. Finally, the overall model identification algorithm module of the fuel regulator calculates the overall model of the fuel regulator using the control models of actuator 1 and actuator 2 output by the model identification algorithm modules of actuator 1 and actuator 2, respectively. The control model identification device provided in this embodiment of the invention has the following beneficial effects:

[0097] 1) Through experimental methods combined with theoretical analysis, a precise control model for the fuel regulator was constructed, providing a model reference for control system designers;

[0098] 2) Based on the construction of the fuel regulator control model, the design of the control algorithm can be based on the analytical method for accurate parameter matching, thereby obtaining the optimized control performance and safety margin under all operating conditions, improving the accuracy, robustness and optimization of the control system design, and facilitating the optimization of the controller under all operating conditions of the aero-engine.

[0099] 3) Improve the safety and reliability of the aircraft engine fuel control system and engine operation, and avoid the risk of engine control instability.

[0100] While the embodiments disclosed in this invention are as described above, they are merely illustrative of the embodiments to facilitate understanding of the invention and are not intended to limit the invention. Any person skilled in the art to which this invention pertains may make any modifications and variations in the form and details of the implementation without departing from the spirit and scope disclosed herein; however, the scope of patent protection for this invention shall still be determined by the scope defined in the appended claims.

Claims

1. A control model identification device for a fuel regulator, characterized in that, The fuel regulator includes actuator 1, actuator 2, a linear displacement sensor (LVDT) for measuring the valve travel in actuator 1, and an angular displacement sensor for measuring the actuating cylinder angle in actuator 2. Actuator 1 receives a PWM signal and outputs a linear displacement signal LA. Actuator 2 takes the linear displacement signal LA as input and outputs an angle signal A. The control model identification device of the fuel regulator includes: a sensor signal conditioning module, a signal measurement module, an actuator 1 model identification algorithm module, an actuator 2 model identification algorithm module, and a fuel regulator overall model identification algorithm module. The sensor signal conditioning module is connected to both the linear displacement sensor (LVDT) and the angular displacement sensor. It is used to generate the excitation signal for the linear displacement sensor and condition the sinusoidal signal output by the linear displacement sensor. It is also used to generate the excitation signal for the angular displacement sensor and condition the sinusoidal signal output by the angular displacement sensor. The signal measurement module is connected to the input and output terminals of actuator 1 and the output terminal of actuator 2, respectively. It is used to measure the PWM signal input to the fuel regulator, the linear displacement signal LA output by actuator 1, and the angle signal A output by actuator 2 in real time. The PWM signal and the linear displacement signal LA are output to the model identification algorithm module of actuator 1 to identify the control model of actuator 1. The linear displacement signal LA and the angle signal A are output to the model identification algorithm module of actuator 2 to identify the control model of actuator 2. The fuel regulator overall model identification algorithm module is used to calculate the overall model of the fuel regulator by using the control models of actuator 1 and actuator 2 output by the actuator 1 model identification algorithm module and actuator 2 model identification algorithm module, respectively.

2. The control model identification device for the fuel regulator according to claim 1, characterized in that, The sensor signal conditioning module outputs a 3000Hz sine wave excitation signal with an effective amplitude of 3V to the linear displacement sensor LVDT. The voltage signals VA and VB output by the linear displacement sensor are both 3000Hz sine wave signals, and the amplitudes of the voltage signals VA and VB change according to the linear displacement. The sum of their effective values ​​is 3V. The voltage signals VA and VB are used to calculate the linear displacement signal LA.

3. The control model identification device for the fuel regulator according to claim 1, characterized in that, The angular displacement sensor uses a rotary transformer, which is coaxially mounted with the actuator cylinder in the actuator 2, and the rotary transformer has a resolver ratio of 0.

4. The excitation signal output by the sensor signal conditioning module to the angular displacement sensor is a differential sine signal, and the output signal of the angular displacement sensor is also a differential sine signal.

4. The control model identification device for the fuel regulator according to claim 1, characterized in that, The sensor signal conditioning module includes: a linear displacement sensor excitation signal conditioning unit connected to the input terminal of the linear displacement sensor LVDT, a linear displacement sensor feedback signal conditioning unit connected to the output terminal of the linear displacement sensor LVDT, an angular displacement sensor excitation signal conditioning unit connected to the input terminal of the angular displacement sensor, and an angular displacement sensor feedback signal conditioning unit connected to the output terminal of the angular displacement sensor. The sensor signal conditioning module is used to generate an excitation signal acting on the linear displacement sensor through the linear displacement sensor excitation signal conditioning unit, and to collect and condition the voltage signals VA and VB output by the linear displacement sensor through the linear displacement sensor feedback signal conditioning unit, and transmit the conditioned signals to the signal measurement module. The sensor signal conditioning module is also used to generate an excitation signal acting on the angular displacement sensor through the angular displacement sensor excitation signal conditioning unit, and to collect and condition the differential sinusoidal signal output by the angular displacement sensor through the angular displacement sensor feedback signal conditioning unit, and transmit the conditioned signal to the signal measurement module.

5. The control model identification device for the fuel regulator according to claim 4, characterized in that, The input terminals of the signal measurement module are respectively connected to the output terminals of the linear displacement sensor feedback signal conditioning unit, the angular displacement sensor feedback signal conditioning unit, and the input terminal of the actuator 1; and the signal measurement module includes: a PWM duty cycle measurement unit, a linear displacement sensor displacement measurement unit, and an angular displacement sensor angle measurement unit; The PWM duty cycle measurement unit is used to collect the PWM signal input to the actuator 1, and after the PWM signal is isolated and shaped by two stages of inverters, the duty cycle is calculated by the duty cycle measurement algorithm. The linear displacement sensor displacement measurement unit is used to perform signal pickup, linear displacement calculation and digital signal processing. Through the periodic pickup and calculation of the voltage signals VA and VB transmitted by the linear displacement sensor feedback signal conditioning unit, the output of the linear displacement sensor is converted into bit values, and the measurement results are sorted and filtered by the median filtering digital signal processing algorithm. The angular displacement sensor angle measurement unit is used to periodically read the differential sine signal output by the angular displacement sensor feedback signal conditioning unit and calculate the angle signal.

6. The control model identification device for the fuel regulator according to claim 1, characterized in that, The actuator 1 model identification algorithm module includes: a bandwidth testing unit, an actuator 1 Bode plot testing unit, and an actuator 1 transfer function extraction unit connected in sequence; Among them, the bandwidth testing unit is used to determine the open-loop bandwidth of actuator 1 by tracking the step response of actuator 1; The Bode plot test unit for actuator 1 is used to perform open-loop Bode plot testing on actuator 1 in order to plot the amplitude frequency response curve and phase frequency response curve of actuator 1. The transfer function extraction unit of actuator 1 is used to convert the amplitude frequency characteristic curve data and phase frequency characteristic curve data of actuator 1 into data, thereby calculating the transfer function of actuator 1, which is the control model of actuator 1.

7. The control model identification device for a fuel regulator according to claim 6, characterized in that, The actuator 2 model identification algorithm module includes: actuator 1 closed-loop control unit, actuator 2 Bode plot measurement unit, and actuator 2 transfer function extraction unit; Among them, the closed-loop control unit of actuator 1 is connected to the output of the transfer function extraction unit of actuator 1, and is used to design the closed-loop controller of actuator 1 based on the transfer function of actuator 1 and the closed-loop control objective, so as to realize the closed-loop control of actuator 1; The Bode plot measurement unit for actuator 2 is used to perform open-loop Bode plot testing on actuator 2 in order to plot the amplitude-frequency response curve and phase-frequency response curve of actuator 2. The transfer function extraction unit of actuator 2 is connected to the Bode plot measurement unit of actuator 2. It is used to convert the amplitude frequency response curve data and phase frequency response curve data of actuator 2 into data, thereby calculating the transfer function of actuator 2, which is the control model of actuator 2.

8. The control model identification device for the fuel regulator according to any one of claims 1 to 7, characterized in that, The fuel regulator overall model identification algorithm module is specifically used to perform a product operation on the transfer function of actuator 1 and the transfer function of actuator 2 to obtain the overall transfer function model of the fuel regulator.

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