Simulation method and device of linear variable differential transformer
By simulating the ideal and interference parameters of the primary coil, combined with the inherent and environmental parameters of the linear variable differential transformer, the output signal of the secondary coil is calculated and demodulated, solving the problem of insufficient simulation accuracy in the existing technology, and realizing high-precision equipment performance verification and optimization.
Patent Information
- Application Number
- CN202511339271.4
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2025-09-18
- Publication Date
- 2026-02-10
AI Technical Summary
Existing simulation methods and devices for linear variable differential transformers fail to accurately reflect environmental factors such as permeability changes, electromagnetic interference, and noise under non-ideal conditions. This results in virtual simulation systems being unable to accurately reflect the errors and faults of actual equipment, making it difficult to meet the requirements for high-precision simulation.
By simulating the ideal and interference parameters of the primary coil, combined with the inherent and environmental parameters of the linear variable differential transformer, the output signal of the secondary coil is calculated and demodulated to realize the conversion from signal to displacement, simulating the errors and jitter in real operation.
It improves simulation accuracy, can reflect equipment failures and malfunctions, meets the needs of high-precision simulation, reduces R&D costs and risks, and provides support for design optimization and risk assessment.
Smart Images
Figure CN121502980A_ABST
Abstract
Description
Technical Field
[0001] This application belongs to the field of linear variable differential transformer technology, specifically relating to a simulation method and apparatus for a linear variable differential transformer. Background Technology
[0002] In the research and development and production of industrial products and weapons, it is necessary to use virtual simulation or digital twin methods to verify, test, and optimize functions and performance in order to verify design theories and expose defects before production, and to evaluate performance changes and reduce risks during testing and production.
[0003] Linear Variable Differential Transformer (LVDT) is a non-contact, highly stable, high-precision displacement sensor with strong resistance to harsh environments. It is widely used in aircraft control, weapon systems, robot control and other fields, and is the first choice for industrial and military applications. Its simulation device is an important component of virtual simulation systems for industrial products or weapon equipment.
[0004] Linear variable differential transformers operate based on the principle of electromagnetic induction, but existing simulation methods and devices only simulate sensors and environments under ideal conditions, failing to reproduce the key characteristics of real physical systems and environments. On the one hand, they do not consider the actual situation where the permeability changes of the two secondary coils are inconsistent; on the other hand, they do not incorporate the influence of environmental factors such as electromagnetic interference, noise, and usage scenarios on the signal, resulting in the input and output signals failing to exhibit non-ideal sinusoidal characteristics. This lack of real-world simulation means that virtual simulation or digital twin systems cannot reflect errors, jitter, failures, or malfunctions in actual equipment operation or production processes, making it difficult to meet the requirements for high-precision simulation. Summary of the Invention
[0005] The purpose of this application is to provide a simulation method and apparatus for a linear variable differential transformer to solve the problems existing in the prior art.
[0006] To achieve the above technical objectives, the technical solution adopted in this application is as follows: The first aspect of this application provides a simulation method for a linear variable differential transformer, the method comprising: Obtain the ideal parameters and interference parameters of the primary coil input signal, as well as the inherent parameters and environmental parameters of the linear variable differential transformer; The actual input signal of the primary coil is obtained by performing signal simulation on the ideal parameters and the interference parameters. The secondary coil output signal is obtained by calculating the inherent parameters, the environmental parameters, and the actual input signal of the primary coil using a secondary coil output signal calculation model. The output signal of the secondary coil is demodulated and calculated to obtain displacement data.
[0007] Optionally, the actual input signal of the primary coil is obtained by performing signal simulation on the ideal parameters and the interference parameters, including: Substituting the ideal parameters and the interference parameters into the calculation model of the actual input signal of the primary coil, the actual input signal of the primary coil is obtained. The expression of the calculation model of the actual input signal of the primary coil is as follows:
[0008] Among them, ideal parameters include: frequency Amplitude and phase ; Interference parameters include: random noise Amplitude noise and phase noise ; The actual input signal to the primary coil, for Amplitude noise Amplitude function after amplitude modulation Phase noise Phase function after phase modulation.
[0009] Optionally, the secondary coil output signal is obtained by calculating the inherent parameters, the environmental parameters, and the actual input signal of the primary coil using a secondary coil output signal calculation model, including: The inherent parameters, environmental parameters, and actual input signal of the primary coil are substituted into the secondary coil signal output calculation model to obtain the secondary coil output signal. The expression of the secondary coil signal output calculation model is as follows:
[0010]
[0011]
[0012]
[0013]
[0014] in, This is the output signal of the secondary coil. L1 is the inductance of the primary coil, R1 is the resistance of the primary coil, M1 is the mutual inductance of the primary coil, and M2 is the mutual inductance of the secondary coil. and The output signal of the primary coil, respectively and For the output signal of the second stage coil, For the land, It is an imaginary number.
[0015] Optionally, in the secondary coil output signal calculation model, the mutual inductance M1 of the primary coil and the mutual inductance M2 of the secondary coil satisfy:
[0016] in, ; k is the proportionality coefficient, b is the reference mutual inductance, and X is the actual core displacement. and This is the difference coefficient between the first-stage coil and the second-stage coil.
[0017] Optionally, the output signal of the secondary coil is demodulated and calculated to obtain displacement data, including: The output signal of the secondary coil is substituted into the demodulation calculation model for calculation to obtain displacement data. The expression of the demodulation calculation model is as follows:
[0018] Where Y represents the simulated measured displacement.
[0019] A second aspect of this application provides a simulation apparatus for a linear variable differential transformer, comprising: The parameter configuration unit is used to input and store the ideal parameters, interference parameters, inherent parameters, and environmental parameters of the primary coil input signal; The excitation simulation component, connected to the parameter configuration component, is used to generate the actual input signal of the primary coil based on the ideal parameters and the interference parameters; The secondary signal processing unit is connected to the excitation simulation unit and the parameter configuration unit. It is used to receive the actual input signal, inherent parameters and environmental parameters of the primary coil, and generate the secondary coil output signal through the secondary coil output signal calculation model. The demodulation unit, connected to the secondary signal processing unit, is used to demodulate and calculate the output signal of the secondary coil to obtain displacement data.
[0020] Optionally, the excitation simulation component includes: The DDS signal generation module is used to generate an AC signal that conforms to the calculation model of the actual input signal of the primary coil, based on the ideal parameters and the interference parameters, according to the direct digital frequency synthesis technology.
[0021] Optionally, the secondary signal processing unit includes: An ADC conversion module, connected to the excitation simulation component, is used to convert the actual input signal of the primary coil into a digital signal; The FPGA processing module is connected to the ADC conversion module and the parameter configuration component respectively. It is used to call the secondary coil output signal calculation model, combine the inherent parameters and the environmental parameters to calculate the digital signal, and generate the digital form of the secondary coil output signal. The DAC conversion module, connected to the FPGA processing module, is used to convert the digital form of the secondary coil output signal into an analog AC signal.
[0022] Optionally, it also includes: The displacement simulation component is connected to the FPGA processing module to simulate the change in the position of the iron core and transmits the real-time value of the iron core position to the FPGA processing module as input for environmental parameters.
[0023] Optionally, the demodulation component includes: The signal acquisition module is used to receive the output signal of the secondary coil; The arithmetic module is used to perform calculations on the acquired signals based on the demodulation calculation model and output displacement data.
[0024] The beneficial effects of this application are: By introducing differences in the permeability of the secondary coil and environmental interference, the simulated signal can accurately reflect non-ideal characteristics, reproduce errors and jitter in actual operation, and improve simulation accuracy.
[0025] The entire method and the coordinated operation of all components of the device fully reproduce the physical process of LVDT from signal input to displacement output, including core components such as electromagnetic induction, magnetic coupling and demodulation, providing simulation support that conforms to physical laws.
[0026] After restoring the true characteristics, the simulation results can reflect equipment failures and malfunctions, and can be used for performance verification, design optimization and risk assessment under complex working conditions, meeting the requirements of high-precision simulation.
[0027] It can verify designs in advance, expose defects, reduce R&D costs and risks, provide data support for equipment integration and debugging, and improve efficiency. Attached Figure Description
[0028] This application can be further illustrated by the non-limiting embodiments given in the accompanying drawings.
[0029] Figure 1 This is a schematic flowchart of a simulation method for a linear variable differential transformer according to this application; Figure 2This is a schematic diagram of the principle of a simulation device for a linear variable differential transformer according to this application. Detailed Implementation
[0030] The technical solutions of the embodiments of this application will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of this application, and not all embodiments. Based on the embodiments of this application, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of this application.
[0031] like Figure 1 As shown, the first aspect of this application provides a simulation method for a linear variable differential transformer, the method comprising: S1: Obtain the ideal parameters and interference parameters of the primary coil input signal, as well as the inherent parameters and environmental parameters of the linear variable differential transformer.
[0032] Ideal parameters refer to the basic characteristic parameters of the AC signal that drives the primary coil under ideal conditions without any interference, including: Frequency: The alternating frequency of the AC signal input to the primary coil, such as 50Hz or 2.3kHz commonly used in industry, determines the periodic characteristics of electromagnetic induction. Amplitude: The peak or effective value of the AC signal under ideal conditions, reflecting the excitation intensity of the signal and directly affecting the amplitude of the induced signal in the secondary coil. Phase: The initial phase of the ideal signal, used to characterize the starting position of the signal on the time axis and for phase synchronization in subsequent signal demodulation. Ideal parameters are the "reference template" for analog signals. The operation of an LVDT is based on electromagnetic induction. After an alternating current is applied to the primary coil, an alternating magnetic field is generated. Its frequency, amplitude, and phase directly determine the variation of the magnetic field, thus affecting the induced electromotive force of the secondary coil.
[0033] Interference parameters simulate the effects of various types of noise on the primary signal in a real environment, including: Amplitude noise: A time-varying amplitude disturbance factor, such as random changes in signal amplitude caused by power supply fluctuations or electromagnetic radiation. Phase noise: A time-varying phase disturbance factor, such as signal phase drift caused by transmission line delays or device nonlinearity. Random noise: Random interference superimposed on the signal, typically Gaussian white noise, broadband noise such as thermal noise from analog electronic devices and environmental electromagnetic interference.
[0034] Intrinsic parameters are the physical properties of an LVDT itself, determined by its structure and materials, including: Primary coil inductance: The self-inductance of the primary coil, reflecting the coil's ability to store magnetic field energy, and related to the number of turns and the permeability of the core. Primary coil resistance: The DC resistance of the primary coil, determined by the material, cross-sectional area, and length of the coil conductor. Secondary coil mutual inductance: The mutual inductance coefficients between the primary and secondary coils, and between the primary and secondary coils, respectively, reflecting the strength of magnetic field coupling between the coils, and are core parameters for displacement measurement in LVDT.
[0035] Environmental parameters reflect the influence of the external environment and non-ideal characteristics of the coil on the LVDT, including: True core displacement: The axial displacement of the core within the coil. Proportional coefficient: Reflects the rate of change of mutual inductance with displacement. Reference mutual inductance: The reference mutual inductance when the core is at zero position. Difference coefficient: Simulates the asymmetry of the two secondary coils, reflecting the difference in the rate of change of mutual inductance, and the difference in zero-position mutual inductance.
[0036] S2: Obtain the actual input signal of the primary coil by simulating the ideal parameters and interference parameters.
[0037] This step, based on the ideal and interference parameters obtained in step S1, generates a primary coil input signal that closely resembles the real-world scenario through signal modeling. Its core function is to reproduce the influence of non-ideal factors on the excitation signal, providing a source of distorted signals for subsequent simulation of the LVDT's true response.
[0038] Specifically, the ideal parameters and interference parameters are substituted into the calculation model of the actual input signal of the primary coil to obtain the actual input signal of the primary coil. The expression of the calculation model of the actual input signal of the primary coil is as follows:
[0039] Among them, ideal parameters include: frequency Amplitude and phase ; Interference parameters include: random noise Amplitude noise and phase noise ; The actual input signal to the primary coil, for Amplitude noise Amplitude function after amplitude modulation Phase noise Phase function after phase modulation.
[0040] Ideal parameters form the basic framework for constructing signals, including: frequency The alternation period of the AC signal (e.g., f=1kHz corresponds to a period of 1ms) is the time base of the signal and directly affects the rate of change of the electromagnetically induced magnetic field. Initial amplitude The peak value of the signal under ideal conditions (e.g.) =5V), reflecting the excitation intensity when there is no interference; initial phase The initial phase of the signal (e.g.) =0) corresponds to the signal being at its peak value when t=0, providing a phase reference for subsequent demodulation.
[0041] Interference parameters alter the ideal signal through "modulation" or "superposition," simulating signal distortion in a real-world environment. Amplitude noise The time-varying amplitude disturbance factor is multiplied to modulate the ideal amplitude, forming an amplitude function to simulate signal strength fluctuations caused by power supply fluctuations. Phase noise The phase perturbation that changes over time is modulated by addition to the ideal phase to form a phase function, simulating the phase shift caused by transmission line delay or device nonlinearity; Random noise Irregular disturbances superimposed on the signal (e.g., mean 0, variance 0.01V) 2 Gaussian white noise), simulating thermal noise of electronic devices or environmental electromagnetic interference, manifests as "glitch" in the signal waveform.
[0042] In this embodiment, taking the commonly used 2.3kHz excitation signal in industry as an example, the signal generation process is as follows: Ideal parameters: f = 2300Hz, A_0 = 5V =0, the ideal signal is 5cos(4600πt); Interference parameters: Amplitude noise =1+0.03sin(100πt) (50Hz fluctuation, maximum ±3% amplitude variation); Phase noise =0.02sin(10πt) (5Hz drift, maximum ±0.02rad phase change); Random noise Gaussian white noise (±0.05V fluctuation); Actual input signal : =5[1+0.03sin(100πt)]cos(4600πt+0.02sin(10πt))+ The signal waveform exhibits slow amplitude fluctuations, slight phase drift, and random spikes, which is completely different from an ideal smooth cosine curve and accurately reproduces the signal characteristics in a real industrial environment.
[0043] Using the above model, ideal parameters are used as the signal reference framework. Interference parameters are used to modulate the signal amplitude and phase and add random noise. This enables the generated primary coil's actual input signal to reproduce the signal distortion caused by non-ideal factors (such as power fluctuations, electromagnetic interference, and device noise). This provides a realistic excitation signal source for subsequent simulation of the electromagnetic response of a linear variable differential transformer under real operating conditions.
[0044] S3: The secondary coil output signal is obtained by calculating the inherent parameters, environmental parameters, and the actual input signal of the primary coil through the secondary coil output signal calculation model.
[0045] This step is based on the principle of electromagnetic induction. It uses the inherent parameters and environmental parameters obtained in step S1 and the actual input signal of the primary coil generated in step S2 to calculate the induced output signal of the secondary coil through the secondary coil output signal calculation model. Its core function is to simulate the electromagnetic coupling relationship between the primary coil and the secondary coil and reproduce the influence of core displacement and non-ideal factors on the secondary signal.
[0046] Specifically, the secondary coil output signal is obtained by calculating inherent parameters, environmental parameters, and the actual input signal of the primary coil using a secondary coil output signal calculation model. This includes: Substituting the inherent parameters, environmental parameters, and the actual input signal of the primary coil into the secondary coil signal output calculation model, the secondary coil output signal is obtained. The expression of the secondary coil signal output calculation model is as follows:
[0047]
[0048]
[0049]
[0050]
[0051] in, This is the output signal of the secondary coil. L1 is the inductance of the primary coil, R1 is the resistance of the primary coil, M1 is the mutual inductance of the primary coil, and M2 is the mutual inductance of the secondary coil. and The output signal of the primary coil, respectively and For the output signal of the second stage coil, For the land, It is an imaginary number.
[0052] In the calculation model of the secondary coil output signal, the mutual inductance M1 of the primary coil and the mutual inductance M2 of the secondary coil satisfy the following:
[0053] in, ; e represents the overall difference, k represents the proportionality coefficient, b represents the reference mutual inductance, and X represents the actual core displacement. and The difference coefficients between the two secondary coils (and the difference coefficients between the first and second secondary coils).
[0054] The inherent parameters L1 and R1 introduce the impedance loss of the primary coil, making the model different from the ideal lossless assumption; Coefficient of difference , By using the mutual inductance difference term e, the permeability asymmetry existing in the actual coil is simulated, which solves the simulation distortion problem caused by the assumption of perfect symmetry of the secondary coil in the existing model.
[0055] The actual core displacement X directly affects M1 and M2 through a linear relationship. By substituting the known intrinsic parameters, difference coefficients, and actual core displacement X from step S1 into the expressions for M1 and M2, M1 and M2 can be obtained. M1 and M2 will lead to... , The amplitude changes in the opposite direction (when X increases, M1 increases and M2 decreases, making...) Enlarge This reduces the displacement and lays the foundation for subsequent demodulation of displacement data.
[0056] This step introduces a mutual inductance dynamic model and non-ideal coil parameters to ensure that the secondary coil output signal accurately reflects the following characteristics: the influence of the primary coil impedance on signal transmission; the linear correlation between core displacement and the secondary signal; and signal asymmetry caused by differences in coil manufacturing and material properties. Compared to existing simulation methods based solely on ideal symmetrical coils, this significantly improves the simulation accuracy of the LVDT output signal, ensuring the accuracy of subsequent displacement demodulation.
[0057] S4: Demodulate and calculate the output signal of the secondary coil to obtain displacement data.
[0058] This step, based on the mapping relationship between electromagnetic induction signals and displacement, performs inversion calculations on the secondary coil output signal generated in step S3, ultimately outputting a simulated measured displacement Y. Its core function is to realize the conversion from electromagnetic signals to physical displacement, reproducing the signal demodulation process in the actual operation of a linear variable differential transformer (LVDT). Specifically, the output signal of the secondary coil is substituted into the demodulation calculation model to obtain displacement data. The expression of the demodulation calculation model is as follows:
[0059] Where Y represents the simulated measured displacement (and displacement data).
[0060] Taking the actual core position X=0.1m as an example, the specific demodulation process is as follows: Given environmental parameters: k = 0.5H / m, b = 0.1H, =0.01H / m, =0.005H; After calculation in step S3, we get: e = 0.004H, M1 = 0.15H, M2 = 0.054H; Substituting into the demodulation model: Y≈0.1m, the results show that the simulated measured displacement Y is basically consistent with the actual core position X, and due to the presence of e, it contains a small error, thus reproducing the measurement characteristics of the real LVDT.
[0061] like Figure 2 As shown, a second aspect of this application provides a simulation apparatus for a linear variable differential transformer, comprising: The parameter configuration unit is used to input and store the ideal parameters, interference parameters, inherent parameters, and environmental parameters of the primary coil input signal; The excitation simulation component, connected to the parameter configuration component, is used to generate the actual input signal of the primary coil based on ideal parameters and interference parameters.
[0062] Specifically, the excitation simulation component includes: The DDS (Direct Digital Synthesizer) signal generation module, also known as a direct digital frequency synthesizer, is used to generate an AC signal that conforms to the calculation model of the actual input signal of the primary coil based on direct digital frequency synthesis technology, according to ideal parameters and interference parameters.
[0063] The secondary signal processing unit, connected to the excitation simulation unit and the parameter configuration unit, is used to receive the actual input signal, inherent parameters and environmental parameters of the primary coil, and generate the secondary coil output signal through the secondary coil output signal calculation model.
[0064] Specifically, the secondary signal processing unit includes: The ADC (Analog to Digital Converter) module, connected to the excitation analog component, converts the actual input signal of the primary coil into a digital signal. The FPGA (Field-Programmable Gate Array) processing module, connected to both the ADC conversion module and the parameter configuration component, calls the secondary coil output signal calculation model, combines inherent parameters and environmental parameters to calculate the digital form of the secondary coil output signal, and generates the digital form of the secondary coil output signal. The DAC conversion module, connected to the FPGA processing module, converts the digital form of the secondary coil output signal into an analog AC signal.
[0065] The demodulation unit, connected to the secondary signal processing unit, is used to demodulate and calculate the output signal of the secondary coil to obtain displacement data.
[0066] Specifically, the demodulation component includes: The signal acquisition module is used to receive the output signal from the secondary coil; the calculation module is used to perform calculations on the acquired signal based on the demodulation calculation model and output displacement data.
[0067] Furthermore, the simulation device for the linear variable differential transformer also includes: The displacement simulation component, connected to the FPGA processing module, is used to simulate changes in the position of the iron core and transmits the real-time value of the iron core position to the FPGA processing module as input for environmental parameters.
[0068] It should be noted that the various embodiments in this specification are described in a progressive manner, with each embodiment focusing on the differences from other embodiments. The same or similar parts between the various embodiments can be referred to each other.
[0069] It should also be noted that, in this document, the terms "center," "upper," "lower," "left," "right," "vertical," "horizontal," "inner," and "outer," etc., indicate the orientation or positional relationship based on the orientation or positional relationship shown in the accompanying drawings, and are only for the convenience of describing this application and simplifying the description, and do not indicate or imply that the device or element referred to must have a specific orientation, or be constructed and operated in a specific orientation, and therefore should not be construed as a limitation of this application. Furthermore, relational terms such as "first" and "second" are only used to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply any such actual relationship or order between these entities or operations, nor should they be construed as indicating or implying relative importance. Moreover, the terms "comprising," "including," or any other variations thereof are intended to cover non-exclusive inclusion, such that a process, method, article, or terminal device that comprises a list of elements includes not only those elements, but also other elements not expressly listed, or elements inherent to such a process, method, article, or terminal device. In the absence of further restrictions, an element defined by the phrase "includes a..." does not exclude the presence of other identical elements in the process, method, article, or terminal device that includes the element.
[0070] The technical solutions provided in this application have been described in detail above. Specific examples have been used to illustrate the principles and implementation methods of this application. The descriptions of the above embodiments are only for the purpose of helping to understand this application, and the content of this specification should not be construed as a limitation of this application. Furthermore, for those skilled in the art, there will be different forms of changes in the specific implementation methods and application scope based on this application. It is neither necessary nor possible to exhaustively list all implementation methods here, and obvious changes or modifications derived therefrom are still within the protection scope of this application.
Claims
1. A simulation method for a linear variable differential transformer, characterized in that, The method includes: Obtain the ideal parameters and interference parameters of the primary coil input signal, as well as the inherent parameters and environmental parameters of the linear variable differential transformer; The actual input signal of the primary coil is obtained by performing signal simulation on the ideal parameters and the interference parameters. The secondary coil output signal is obtained by calculating the inherent parameters, the environmental parameters, and the actual input signal of the primary coil using a secondary coil output signal calculation model. The output signal of the secondary coil is demodulated and calculated to obtain displacement data.
2. The simulation method for a linear variable differential transformer according to claim 1, characterized in that, The actual input signal of the primary coil is obtained by performing signal simulation on the ideal parameters and the interference parameters, including: Substituting the ideal parameters and the interference parameters into the calculation model of the actual input signal of the primary coil, the actual input signal of the primary coil is obtained. The expression of the calculation model of the actual input signal of the primary coil is as follows: ； Among them, ideal parameters include: frequency Amplitude and phase ; Interference parameters include: random noise Amplitude noise and phase noise ; The actual input signal to the primary coil, for Amplitude noise Amplitude function after amplitude modulation Phase noise Phase function after phase modulation.
3. The simulation method for a linear variable differential transformer according to claim 1, characterized in that, The secondary coil output signal is obtained by calculating the inherent parameters, the environmental parameters, and the actual input signal of the primary coil using a secondary coil output signal calculation model, including: The inherent parameters, environmental parameters, and actual input signal of the primary coil are substituted into the secondary coil signal output calculation model to obtain the secondary coil output signal. The expression of the secondary coil signal output calculation model is as follows: ； ； ； ； ； in, This is the output signal of the secondary coil. L1 is the inductance of the primary coil, R1 is the resistance of the primary coil, M1 is the mutual inductance of the primary coil, and M2 is the mutual inductance of the secondary coil. and The output signal of the primary coil, respectively and For the output signal of the second stage coil, For the land, It is an imaginary number.
4. The simulation method for a linear variable differential transformer according to claim 3, characterized in that, In the calculation model of the secondary coil output signal, the mutual inductance M1 of the primary coil and the mutual inductance M2 of the secondary coil satisfy the following: ； ； in, ; k is the proportionality coefficient, b is the reference mutual inductance, and X is the actual core displacement. and This is the difference coefficient between the first-stage coil and the second-stage coil.
5. The simulation method for a linear variable differential transformer according to claim 1, characterized in that: The output signal of the secondary coil is demodulated and calculated to obtain displacement data, including: The output signal of the secondary coil is substituted into the demodulation calculation model for calculation to obtain displacement data. The expression of the demodulation calculation model is as follows: ； Where Y represents the simulated measured displacement.
6. A simulation device for a linear variable differential transformer, characterized in that, include: The parameter configuration unit is used to input and store the ideal parameters, interference parameters, inherent parameters, and environmental parameters of the primary coil input signal; The excitation simulation component, connected to the parameter configuration component, is used to generate the actual input signal of the primary coil based on the ideal parameters and the interference parameters; The secondary signal processing unit is connected to the excitation simulation unit and the parameter configuration unit. It is used to receive the actual input signal, inherent parameters and environmental parameters of the primary coil, and generate the secondary coil output signal through the secondary coil output signal calculation model. The demodulation unit, connected to the secondary signal processing unit, is used to demodulate and calculate the output signal of the secondary coil to obtain displacement data.
7. The simulation device according to claim 6, characterized in that, The excitation simulation component includes: The DDS signal generation module is used to generate an AC signal that conforms to the calculation model of the actual input signal of the primary coil, based on the ideal parameters and the interference parameters, according to the direct digital frequency synthesis technology.
8. The simulation device according to claim 6, characterized in that, The secondary signal processing component includes: An ADC conversion module, connected to the excitation simulation component, is used to convert the actual input signal of the primary coil into a digital signal; The FPGA processing module is connected to the ADC conversion module and the parameter configuration component respectively. It is used to call the secondary coil output signal calculation model, combine the inherent parameters and the environmental parameters to calculate the digital signal, and generate the digital form of the secondary coil output signal. The DAC conversion module, connected to the FPGA processing module, is used to convert the digital form of the secondary coil output signal into an analog AC signal.
9. The simulation device according to claim 8, characterized in that, Also includes: The displacement simulation component is connected to the FPGA processing module to simulate the change in the position of the iron core and transmits the real-time value of the iron core position to the FPGA processing module as input for environmental parameters.
10. The simulation device according to claim 6, characterized in that, The demodulation component includes: The signal acquisition module is used to receive the output signal of the secondary coil; The arithmetic module is used to perform calculations on the acquired signals based on the demodulation calculation model and output displacement data.