A method and device for predicting the coaxiality deviation of a rotary transformer stator and rotor

Abstract

The present invention relates to the field of automobile technology, and specifically to a method and device for predicting the coaxiality deviation of the stator and rotor of a rotary transformer. The method comprises: 1. establishing a finite element model of each part of a motor assembly; 2. establishing a material parameter card of each part of a motor assembly; 3. assigning properties to each part of a motor assembly; 4. applying a load; 5. applying constraints; 6. finite element calculation and data extraction; 7. data processing. The present invention utilizes a finite element simulation method to evaluate the scheme in the early stage of the design, which can effectively select and optimize the design scheme, and utilizes the Fourier transform principle to achieve a quantitative evaluation of the coaxiality deviation of the stator and rotor of a rotary transformer by processing the results of the finite element simulation analysis, thereby improving the evaluation accuracy of the coaxiality deviation and solving the problem of the coaxiality deviation of the rotary transformer.

Description

Technical Field

[0001] The invention relates to the field of automobile technology, in particular to a method and a device for predicting the coaxiality deviation of a rotary transformer stator and rotor. Background Art

[0002] A resolver is an electromagnetic sensor used to measure the angular displacement and angular velocity of a rotating object. It consists of a stator and a rotor. As a precision angle, speed and position sensing element, especially a split resolver, the axes of the stator and rotor must be consistent during mechanical installation to ensure that the change law of the air gap magnetic field strictly changes according to the theoretical value. However, in actual engineering, the resolver is usually installed on the motor housing. After the motor housing is subjected to assembly load and temperature load, the plane used to install the resolver stator will deform. The deformation of the installation plane will inevitably cause the resolver stator to deviate from the design position, resulting in a deterioration in the measurement accuracy of the resolver. The deformation deviation of the resolver stator and rotor can be divided into four categories: axial deviation, circular runout deviation, inclination deviation and coaxiality deviation. Among them, coaxiality deviation is the most likely to occur and is one of the factors that affect the measurement accuracy of the resolver the most. Therefore, it is very necessary to achieve quantitative evaluation of coaxiality deviation. Summary of the invention

[0003] The present invention provides a method and device for predicting the coaxiality deviation of the stator and rotor of a rotary transformer. The finite element simulation method is used to evaluate the scheme in the early stage of scheme design, so that the design scheme can be effectively selected and optimized. The Fourier transform principle is used to process the finite element simulation analysis results to realize the quantitative evaluation of the coaxiality deviation of the stator and rotor of the rotary transformer, thereby improving the evaluation accuracy of the coaxiality deviation and solving the problem of coaxiality deviation of the rotary transformer.

[0004] The technical solution of the present invention is described as follows in conjunction with the accompanying drawings:

[0005] In a first aspect, an embodiment of the present invention provides a method for predicting the coaxiality deviation of a rotary transformer stator and rotor, comprising the following steps:

[0006] Step 1: Establish the finite element model of each part of the motor assembly;

[0007] Step 2: Create material parameter cards for each part of the motor assembly;

[0008] Step 3: Assign properties to each part of the motor assembly;

[0009] Step 4: Apply load;

[0010] Step 5: Apply constraints;

[0011] Step 6: Finite element calculation and data extraction;

[0012] Step 7: Data processing.

[0013] Furthermore, in step one, the inner circle nodes of the finite element model of the rotating transformer stator in each part of the motor assembly should be evenly distributed in the circumferential direction; after completing the meshing, the model is assembled according to the actual position relationship, and after the assembly is completed, a cylindrical coordinate system is established with the axis of the rotating transformer stator as the Z axis.

[0014] Furthermore, the material parameters in the material parameter card include elastic modulus E, Poisson's ratio μ and thermal expansion coefficient α.

[0015] Furthermore, in step four, the bolt preload and interference load are loaded according to the actual assembly sequence, and then the temperature field distribution load is applied to the motor assembly.

[0016] Furthermore, in step five, the flange surface of the motor power output end housing is constrained to simulate the motor housing being installed on the test bench.

[0017] Furthermore, in step six, the calculation model is solved using a finite element solver, and after the calculation is completed, the radial deformation data of the inner ring nodes of the resolver stator in the cylindrical coordinate system are extracted in a clockwise order from the finite element analysis results.

[0018] Further, in step seven, according to the Fourier transform principle, the extracted radial deformation data of the nodes of the inner ring of the resolver stator in the cylindrical coordinate system are processed according to formulas (1) to (3), and the first-order deformation of the inner ring of the resolver stator is calculated, which is the coaxiality deviation of the resolver stator and rotor;

[0019]

[0020]

[0021]

[0022] Where n is the node number; N is the total number of nodes in the inner ring of the resolver stator; x n is the radial deformation of node n in the cylindrical coordinate system; U 1 A is the first-order deformation of the resolver stator; 1 is the cosine basis correlation coefficient; B 1 is the sine-based correlation coefficient.

[0023] In a second aspect, an embodiment of the present invention further provides a device for predicting the coaxiality deviation of a rotary transformer stator and rotor, the device comprising:

[0024] Establish a finite element model module to establish the finite element model of each part of the motor assembly;

[0025] Establish a material parameter card module to establish material parameter cards for each part of the motor assembly;

[0026] The module for assigning attributes to the motor assembly is used to assign attributes to each part of the motor assembly;

[0027] The load application module is used to load the bolt preload and interference load according to the actual assembly sequence, and then apply the temperature field distribution load to the motor assembly;

[0028] A constraint application module is used to constrain the flange surface of the motor power output end housing and simulate the motor housing being installed on the test bench;

[0029] A calculation module is used to solve the calculation model using a finite element solver, and after the calculation is completed, the radial deformation data of the inner ring nodes of the rotary transformer stator in the cylindrical coordinate system are extracted in a clockwise order from the finite element analysis results;

[0030] The processing module is used to process the extracted radial deformation data of the nodes of the inner ring of the resolver stator in the cylindrical coordinate system according to the Fourier transform principle, and calculate the first-order deformation of the inner ring of the resolver stator, which is the coaxiality deviation of the resolver stator and rotor.

[0031] In a third aspect, an embodiment of the present invention further provides a computer device, comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein when the processor executes the program, a method for predicting the coaxiality deviation of a stator and rotor of a rotating transformer as described in any one of the embodiments of the present invention is implemented.

[0032] In a fourth aspect, an embodiment of the present invention further provides a computer-readable storage medium having a computer program stored thereon, wherein the program, when executed by a processor, implements a method for predicting the coaxiality deviation of a rotary transformer stator and rotor as described in any one of the embodiments of the present invention.

[0033] The beneficial effects of the present invention are:

[0034] 1) The present invention uses the finite element simulation method to evaluate the design scheme in the early stage, which can effectively select and optimize the design scheme;

[0035] 2) The present invention utilizes the Fourier transform principle and processes the finite element simulation analysis results to achieve quantitative evaluation of the coaxiality deviation of the stator and rotor of the rotary transformer, thereby improving the evaluation accuracy of the coaxiality deviation. BRIEF DESCRIPTION OF THE DRAWINGS

[0036] In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings required for use in the embodiments are briefly introduced below. It should be understood that the following drawings only show certain embodiments of the present invention and therefore should not be regarded as limiting the scope. For ordinary technicians in this field, other related drawings can be obtained based on these drawings without creative work.

[0037] Figure 1 This is a sequence diagram of extracting stator radial deformation data in a method for predicting stator and rotor coaxiality deviation of a rotary transformer in the first embodiment;

[0038] Figure 2 This is a flow chart of a method for predicting the coaxiality deviation of a rotary transformer stator and rotor in the first embodiment;

[0039] Figure 3 This is a schematic diagram of the structure of a device for predicting the coaxiality deviation of a rotary transformer stator and rotor in the third embodiment;

[0040] Figure 4 This is a schematic diagram of the structure of an electronic device in Embodiment 4 of the present invention. DETAILED DESCRIPTION

[0041] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0042] Embodiment 1

[0043] Figure 2 This is a flowchart of a method for predicting the coaxiality deviation of a rotary transformer stator and rotor provided in Embodiment 1 of the present invention. This embodiment can be applied to predicting the coaxiality deviation of a rotary transformer stator and rotor. The method can be executed by a device for predicting the coaxiality deviation of a rotary transformer stator and rotor in an embodiment of the present invention. The device can be implemented in software and / or hardware, such as Figure 2 As shown, the method specifically comprises the following steps:

[0044] Step 1: Establish the finite element model of each part of the motor assembly;

[0045] The inner circle nodes of the finite element model of the rotary transformer stator in the motor assembly should be evenly distributed in the circumferential direction; after the meshing is completed, the model is assembled according to the actual position relationship. After the assembly is completed, a cylindrical coordinate system is established with the axis of the rotary transformer stator as the Z axis.

[0046] Step 2: Create material parameter cards for each part of the motor assembly;

[0047] The material parameters in the material parameter card include elastic modulus E, Poisson's ratio μ and thermal expansion coefficient α.

[0048] Step 3: Assign properties to the rotating transformer stator, motor housing, end cover and motor shaft;

[0049] Step 4: Apply load;

[0050] The bolt preload and interference load are loaded according to the actual assembly sequence, and then the temperature field distribution load is applied to the motor assembly.

[0051] Step 5: Apply constraints;

[0052] Step five, constrain the flange surface of the motor power output end housing and simulate the motor housing being installed on the test bench.

[0053] Step 6: Finite element calculation and data extraction;

[0054] Use the finite element solver to solve the calculation model. After the calculation is completed, press the Figure 1 The radial deformation data of the inner ring nodes of the resolver stator in the cylindrical coordinate system are extracted in the order shown.

[0055] Step 7: Data processing.

[0056] According to the Fourier transform principle, the extracted radial deformation data of the nodes of the inner ring of the resolver stator in the cylindrical coordinate system are processed according to formulas (1) to (3), and the first-order deformation of the inner ring of the resolver stator is calculated to be the coaxiality deviation of the resolver stator and rotor;

[0057]

[0058]

[0059]

[0060] Where n is the node number; N is the total number of nodes in the inner ring of the resolver stator; x n is the radial deformation of node n in the cylindrical coordinate system; U 1 A is the first-order deformation of the resolver stator; 1 is the cosine basis correlation coefficient; B 1 is the sine-based correlation coefficient.

[0061] Embodiment 2

[0062] Step 1: Establish the finite element model of each part of the motor assembly;

[0063] The resolver mainly includes resolver stator, motor housing, end cover, motor shaft and other related parts. The resolver stator finite element model has 128 nodes in the inner ring evenly distributed in the circumferential direction. After the meshing is completed, the model is assembled according to the real position relationship. After the assembly is completed, the cylindrical coordinate system is established with the resolver stator axis as the Z axis.

[0064] Step 2: Create material parameter cards for the rotary transformer stator, motor housing, end cover and motor shaft;

[0065] The material parameters in the material parameter card include elastic modulus E, Poisson's ratio μ and thermal expansion coefficient α. The specific material properties are shown in Table 1.

[0066] Table 1 Material properties of main components

[0067]

[0068] Step 3: Assign unit attributes;

[0069] Assign properties to the resolver stator, motor housing, end caps, and motor shaft;

[0070] Step 4: Apply load;

[0071] The bolt preload and interference load are loaded according to the actual assembly sequence, and then the temperature field distribution load is applied to the motor assembly.

[0072] Step 5: Apply constraints;

[0073] Constrain the flange surface of the motor power output end housing and simulate the motor housing being installed on the test bench.

[0074] Step 6: Finite element calculation and data extraction

[0075] The calculation model is solved using a finite element solver. After the calculation is completed, the radial deformation data of 128 nodes of the inner ring of the resolver stator in the cylindrical coordinate system are sequentially extracted from the finite element analysis results.

[0076] Step 7: Data processing;

[0077] According to the Fourier transform principle, the radial deformation data of the 128 nodes of the inner ring of the resolver stator in the cylindrical coordinate system are processed according to formulas (1) to (3), and the first-order deformation of the inner ring of the resolver stator is calculated, which is the coaxiality deviation of the resolver stator and rotor.

[0078]

[0079]

[0080]

[0081] Where n is the node number; N is the total number of nodes in the inner ring of the resolver stator; x n is the radial deformation of node n in the cylindrical coordinate system; U 1 A is the first-order deformation of the resolver stator; 1 is the cosine basis correlation coefficient; B 1 is the sine-based correlation coefficient.

[0082] The calculated data are shown in Table 2.

[0083] Table 2 Calculation of the first-order deformation of the inner ring of the rotary transformer stator

[0084]

[0085]

[0086]

[0087]

[0088]

[0089] In summary, the present invention realizes the quantitative evaluation of the coaxiality deviation of the stator and rotor of the resolver by processing the finite element simulation analysis results, thereby improving the evaluation accuracy of the coaxiality deviation.

[0090] Embodiment 3

[0091] Figure 3 This is a schematic diagram of the structure of a rotary transformer stator and rotor coaxiality deviation prediction device provided in the third embodiment of the present invention. This embodiment can be applied to the prediction of rotary transformer stator and rotor coaxiality deviation. The device can be implemented in software and / or hardware. The device can be integrated in any device that provides the function of predicting the stator and rotor coaxiality deviation of the rotary transformer, such as Figure 3 The device for predicting the coaxiality deviation of the stator and rotor of a rotary transformer specifically comprises:

[0092] Establish a finite element model module to establish the finite element model of each part of the motor assembly;

[0093] Establish a material parameter card module to establish material parameter cards for each part of the motor assembly;

[0094] The module for assigning attributes to the motor assembly is used to assign attributes to each part of the motor assembly;

[0095] The load application module is used to load the bolt preload and interference load according to the actual assembly sequence, and then apply the temperature field distribution load to the motor assembly;

[0096] A constraint application module is used to constrain the flange surface of the motor power output end housing and simulate the motor housing being installed on the test bench;

[0097] A calculation module is used to solve the calculation model using a finite element solver, and after the calculation is completed, the radial deformation data of the inner ring nodes of the rotary transformer stator in the cylindrical coordinate system are extracted in a clockwise order from the finite element analysis results;

[0098] The processing module is used to process the extracted radial deformation data of the nodes of the inner ring of the resolver stator in the cylindrical coordinate system according to the Fourier transform principle, and calculate the first-order deformation of the inner ring of the resolver stator, which is the coaxiality deviation of the resolver stator and rotor.

[0099] The above-mentioned product can execute the method provided by any embodiment of the present invention, and has the corresponding functional modules and beneficial effects of the execution method.

[0100] Embodiment 4

[0101] Figure 4 This is a schematic diagram of the structure of a computer device in Embodiment 4 of the present invention. Figure 4 A block diagram of an exemplary computer device 12 suitable for use in implementing embodiments of the present invention is shown. Figure 4 The computer device 12 shown is only an example and should not bring any limitation to the functions and scope of use of the embodiments of the present invention.

[0102] like Figure 4 As shown, the computer device 12 is in the form of a general-purpose computing device. The components of the computer device 12 may include, but are not limited to: one or more processors or processing units 16, a system memory 28, and a bus 18 that connects various system components (including the system memory 28 and the processing unit 16).

[0103] Bus 18 represents one or more of several types of bus structures, including a memory bus or memory controller, a peripheral bus, an accelerated graphics port, a processor or a local bus using any of a variety of bus architectures. By way of example, these architectures include, but are not limited to, an Industry Standard Architecture (ISA) bus, a Micro Channel Architecture (MAC) bus, an Enhanced ISA bus, a Video Electronics Standards Association (VESA) local bus, and a Peripheral Component Interconnect (PCI) bus.

[0104] The computer device 12 typically includes a variety of computer system readable media. These media can be any available media that can be accessed by the computer device 12, including volatile and non-volatile media, removable and non-removable media.

[0105] The system memory 28 may include computer system readable media in the form of volatile memory, such as random access memory (RAM) 30 and / or cache memory 32. The computer device 12 may further include other removable / non-removable, volatile / non-volatile computer system storage media. By way of example only, the storage system 34 may be used to read and write non-removable, non-volatile magnetic media ( Figure 4 not shown, usually called a "hard drive"). Although Figure 4 Not shown in the figure, a disk drive for reading and writing to a removable non-volatile disk (e.g., a "floppy disk"), and an optical disk drive for reading and writing to a removable non-volatile optical disk (e.g., a CD-ROM, a DVD-ROM, or other optical media) may be provided. In these cases, each drive may be connected to the bus 18 via one or more data medium interfaces. The memory 28 may include at least one program product having a set (e.g., at least one) of program modules that are configured to perform the functions of the various embodiments of the present invention.

[0106] A program / utility 40 having a set (at least one) of program modules 42 may be stored, for example, in the memory 28. Such program modules 42 include, but are not limited to, an operating system, one or more application programs, other program modules, and program data, each of which or some combination may include an implementation of a network environment. The program modules 42 generally perform the functions and / or methods of the embodiments described herein.

[0107] The computer device 12 may also communicate with one or more external devices 14 (e.g., keyboard, pointing device, display 24, etc.), may also communicate with one or more devices that enable a user to interact with the computer device 12, and / or communicate with any device that enables the computer device 12 to communicate with one or more other computing devices (e.g., network card, modem, etc.). Such communication may be performed through an input / output (I / O) interface 22. In addition, the computer device 12 in this embodiment, the display 24 does not exist as an independent individual, but is embedded in the mirror surface, and when the display surface of the display 24 is not displayed, the display surface of the display 24 and the mirror surface are visually integrated. In addition, the computer device 12 may also communicate with one or more networks (e.g., local area network (LAN), wide area network (WAN) and / or public network, such as the Internet) through a network adapter 20. As shown in the figure, the network adapter 20 communicates with other modules of the computer device 12 through a bus 18. It should be understood that although not shown in the figures, other hardware and / or software modules may be used in conjunction with the computer device 12, including but not limited to: microcode, device drivers, redundant processing units, external disk drive arrays, RAID systems, tape drives, and data backup storage systems.

[0108] The processing unit 16 executes various functional applications and data processing by running the programs stored in the system memory 28, for example, implementing a method for predicting the coaxiality deviation of the stator and rotor of a rotary transformer provided in an embodiment of the present invention.

[0109] Embodiment 5

[0110] Embodiment 5 of the present invention provides a computer-readable storage medium having a computer program stored thereon. When the program is executed by a processor, a method for predicting the coaxiality deviation of a rotary transformer stator and rotor is implemented as provided in all the embodiments of the present application.

[0111] Any combination of one or more computer-readable media may be used. A computer-readable medium may be a computer-readable signal medium or a computer-readable storage medium. A computer-readable storage medium may be, for example, but not limited to, an electrical, magnetic, optical, electromagnetic, infrared, or semiconductor system, device or device, or any combination thereof. More specific examples (a non-exhaustive list) of computer-readable storage media include: an electrical connection with one or more wires, a portable computer disk, a hard disk, a random access memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disk read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination thereof. In this document, a computer-readable storage medium may be any tangible medium containing or storing a program that may be used by or in conjunction with an instruction execution system, device, or device.

[0112] Computer-readable signal media may include a data signal propagated in baseband or as part of a carrier wave, which carries a computer-readable program code. Such propagated data signals may take a variety of forms, including, but not limited to, electromagnetic signals, optical signals, or any suitable combination of the above. Computer-readable signal media may also be any computer-readable medium other than a computer-readable storage medium, which may send, propagate, or transmit a program for use by or in conjunction with an instruction execution system, apparatus, or device.

[0113] Program code embodied on a computer readable medium may be transmitted using any appropriate medium, including but not limited to wireless, wireline, optical fiber cable, RF, etc., or any suitable combination of the foregoing.

[0114] Computer program code for performing the operations of the present invention may be written in one or more programming languages ​​or a combination thereof, including object-oriented programming languages ​​such as Java, Smalltalk, C++, and conventional procedural programming languages ​​such as "C" or similar programming languages. The program code may be executed entirely on the user's computer, partially on the user's computer, as a separate software package, partially on the user's computer and partially on a remote computer, or entirely on a remote computer or server. In the case of a remote computer, the remote computer may be connected to the user's computer through any type of network, including a local area network (LAN) or a wide area network (WAN), or may be connected to an external computer (e.g., via the Internet using an Internet service provider).

[0115] Note that the above are only preferred embodiments of the present invention and the technical principles used. Those skilled in the art will understand that the present invention is not limited to the specific embodiments described herein, and that various obvious changes, readjustments and substitutions can be made by those skilled in the art without departing from the scope of protection of the present invention. Therefore, although the present invention has been described in more detail through the above embodiments, the present invention is not limited to the above embodiments, and may include more other equivalent embodiments without departing from the concept of the present invention, and the scope of the present invention is determined by the scope of the appended claims.

Claims

1. A method for predicting the coaxiality deviation of a rotary transformer stator and rotor, characterized in that: The following steps are involved: Step 1: Establish the finite element model of each part of the motor assembly; Step 2: Create material parameter cards for each part of the motor assembly; Step 3: Assign properties to each part of the motor assembly; Step 4: Apply load; Step 5: Apply constraints; Step 6: Finite element calculation and data extraction; Step 7: Data processing, as follows: According to the Fourier transform principle, the extracted radial deformation data of the nodes of the inner ring of the resolver stator in the cylindrical coordinate system are processed according to formulas (1) to (3), and the first-order deformation of the inner ring of the resolver stator is calculated, which is the coaxiality deviation of the resolver stator and rotor; Where n is the node number; N is the total number of nodes in the inner ring of the resolver stator; x n is the radial deformation of node n in the cylindrical coordinate system; U1 is the first-order deformation of the resolver stator; A1 is the cosine-based correlation coefficient; B1 is the sine-based correlation coefficient.

2. The method for predicting the coaxiality deviation of a rotary transformer stator and rotor according to claim 1, characterized in that: Step 1: The inner circle nodes of the finite element model of the rotary transformer stator in the motor assembly should be evenly distributed in the circumferential direction; after completing the meshing, assemble the model according to the actual position relationship, and after the assembly is completed, establish a cylindrical coordinate system with the axis of the rotary transformer stator as the Z axis.

3. The method for predicting the coaxiality deviation of a rotary transformer stator and rotor according to claim 1, characterized in that: The material parameters in the material parameter card include elastic modulus E, Poisson's ratio μ and thermal expansion coefficient α.

4. The method for predicting the coaxiality deviation of a rotary transformer stator and rotor according to claim 1, characterized in that: Step 4: Load the bolt preload and interference load according to the actual assembly sequence, and then apply a temperature field distribution load to the motor assembly.

5. The method for predicting the coaxiality deviation of a rotary transformer stator and rotor according to claim 1, characterized in that: Step five, constrain the flange surface of the motor power output end housing and simulate the motor housing being installed on the test bench.

6. The method for predicting the coaxiality deviation of a rotary transformer stator and rotor according to claim 1, characterized in that: Step six, use the finite element solver to solve the calculation model. After the calculation is completed, the radial deformation data of the inner ring node of the rotary transformer stator in the cylindrical coordinate system is extracted in a clockwise order from the finite element analysis results.

7. A method for predicting the coaxiality deviation of a rotary transformer stator and rotor according to any one of claims 1 to 6, characterized in that: The invention is realized by a rotary transformer stator and rotor coaxiality deviation prediction device, comprising: Establish a finite element model module to establish the finite element model of each part of the motor assembly; Establish a material parameter card module to establish material parameter cards for each part of the motor assembly; The module for assigning attributes to the motor assembly is used to assign attributes to each part of the motor assembly; The load application module is used to load the bolt preload and interference load according to the actual assembly sequence, and then apply the temperature field distribution load to the motor assembly; A constraint application module is used to constrain the flange surface of the motor power output end housing and simulate the motor housing being installed on the test bench; A calculation module is used to solve the calculation model using a finite element solver, and after the calculation is completed, the radial deformation data of the inner ring nodes of the rotary transformer stator in the cylindrical coordinate system are extracted in a clockwise order from the finite element analysis results; The processing module is used to process the extracted radial deformation data of the nodes of the inner ring of the resolver stator in the cylindrical coordinate system according to the Fourier transform principle, and calculate the first-order deformation of the inner ring of the resolver stator, which is the coaxiality deviation of the resolver stator and rotor.

8. A computer device comprising a memory, a processor and a computer program stored in the memory and executable on the processor, characterized in that: When the processor executes the program, a method for predicting the coaxiality deviation of a rotary transformer stator and rotor as described in any one of claims 1 to 6 is implemented.

9. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the program is executed by a processor, a method for predicting the coaxiality deviation of a rotary transformer stator and rotor as described in any one of claims 1 to 7 is implemented.

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