A maglev motor modeling method considering beam gap error and application thereof

Abstract

The application discloses a maglev motor modeling method considering beam joint error, comprising the following steps: establishing a mover finite element simulation model according to the configuration and size parameters of a normal-conductor high-speed maglev mover; establishing a plurality of segmented stator finite element simulation models which are spliced with each other according to the configuration and size parameters of a normal-conductor high-speed maglev stator; setting the interval length of each stator unit along the train running direction according to the bridge joint error parameters, and matching the mover finite element simulation model with the stator finite element simulation model to obtain a normal-conductor high-speed maglev linear motor finite element simulation model. The method can solve the problem that the existing high-speed maglev motor modeling only builds an idealized simulation model, cannot avoid the influence of beam joint error, and cannot accurately analyze the motor electromagnetic characteristics and dynamic characteristics.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of pipe gallery engineering monitoring, in particular to a maglev motor modeling method considering beam joint error, a maglev motor modeling system considering beam joint error, an electronic device and a computer readable storage medium. BACKGROUND

[0002] With the progress of science and technology and the rapid development of the transportation industry, high-speed maglev technology has gradually realized the transition from theory to practice. The basic electrical principle of maglev train is linear motor, which is composed of ground long stator coil and vehicle-mounted moving coil. The ground long stator coil needs to provide suspension and guiding magnetic field to complete the electromagnetic suspension and power drive of the train. In the process of transition from theory to engineering, it is necessary to simulate and analyze the linear motor under actual engineering conditions, especially to analyze the electromagnetic characteristics, dynamic characteristics and possible operating conditions of the linear motor under various engineering conditions, so as to provide guidance and basis for the engineering scheme of constant guide high-speed maglev.

[0003] However, for high-speed maglev system, the suspension and guidance of the whole vehicle body completely depend on electromagnetic force, and the stability of the magnetic field is high. In the engineering process, there are many non-ideal conditions, and it is necessary to build a finite element simulation model that can fully reflect the non-ideal conditions. Moreover, in the actual operation of high-speed maglev, different environmental conditions and special situations need to be considered, and different construction conditions will be faced in the construction and laying process, and it is necessary to clarify the key engineering constraints of constant guide high-speed maglev. For example, for the engineering high-speed maglev line, there are inevitably beam joints, therefore, how to build a reasonable and effective finite element simulation model and systematically analyze the electromagnetic characteristics and dynamic characteristics of high-speed maglev system at the beam joint is a problem to be solved at present. SUMMARY

[0004] In view of at least one defect or improvement demand of the prior art, the present application provides a maglev motor modeling method considering beam joint error, a maglev motor modeling system considering beam joint error, an electronic device and a computer readable storage medium, aiming at solving the problem that the existing high-speed maglev motor modeling only builds ideal simulation model and cannot avoid the influence of beam joint error, resulting in inaccurate analysis of motor electromagnetic characteristics and dynamic characteristics.

[0005] To achieve the above object, according to a first aspect of the present application, a maglev motor modeling method considering beam joint error is provided, comprising: establishing a mover finite element simulation model according to configuration and size parameters of a high-speed maglev mover with constant conductance; establishing a plurality of segmented stator finite element simulation models which are spliced with each other in a segmented manner according to configuration and size parameters of a high-speed maglev stator with constant conductance; setting interval lengths between each of the stator units in a direction of train travel according to beam joint error parameters, and matching the mover finite element simulation model with the stator finite element simulation model to obtain a high-speed maglev linear motor finite element simulation model with constant conductance.

[0006] In an embodiment of the present application, the configuration region is designed based on the outer frame contour of the long stator core to obtain a stator core model, comprising: performing linear array and mirror copying on the regions of all slots, and then using a Boolean operation function to remove the regions corresponding to all slots from the overall region of the stator core to form the stator core model.

[0007] In an embodiment of the present application, the plurality of segmented stator unit finite element simulation models are established in a segmented manner according to configuration and size parameters of a high-speed maglev stator with constant conductance, comprising: drawing a basic line contour of a certain length of stator core to form an outer frame contour of the long stator core, and designing a configuration region based on the outer frame contour of the long stator core to obtain a stator core model; drawing a long stator cable, applying cable current parameters, and matching the long stator cable with the stator core model to form the stator finite element simulation model under ideal conditions.

[0008] In an embodiment of the present application, the configuration region is designed based on the outer frame contour of the long stator core to obtain a stator core model, comprising: drawing configuration regions including slotting, core gap, dovetail key and grounding cable slot on the outer frame contour of the long stator core, and then performing linear array and mirror copying on the configuration regions, and using a Boolean operation function to remove the configuration regions from the overall region of the stator core to form the stator core model.

[0009] In an embodiment of the present application, the maglev motor modeling method considering beam joint error further comprises: performing linear array on the mover unit finite element simulation model and the stator unit finite element simulation model respectively according to maglev track parameters to form a finite element simulation model of a preset scale.

[0010] In an embodiment of the present application, the interval lengths between each of the stator units in the direction of train travel are set according to beam joint error parameters, comprising: drawing two separate stator core models at the beam joint, and using a geometry editor to offset one of the stator core models by the length of the beam joint in the direction of train travel.

[0011] According to the second aspect of the present application, a maglev motor modeling system considering beam joint error is also provided, comprising: a mover model establishing module, configured to establish a mover finite element simulation model according to configuration and size parameters of a high-speed maglev motor with constant guide; a stator model establishing module, configured to establish a plurality of segmented stator finite element simulation models which are spliced together according to configuration and size parameters of a high-speed maglev stator with constant guide; and a maglev motor model obtaining module, configured to set interval lengths between each of the stator units in the direction of train travel according to the bridge joint error parameters, and match the mover finite element simulation model with the stator finite element simulation models to obtain a high-speed maglev linear motor finite element simulation model with constant guide

[0012] According to the third aspect of the present application, an electronic device is also provided, comprising a memory and one or more processors connected to the memory, the memory storing a computer program, and the processors being configured to execute the computer program to implement the steps of the method according to any one of the above embodiments.

[0013] According to the third aspect of the present application, a computer readable storage medium is also provided, storing a computer program executable by an access authentication device, which when executed on the access authentication device, causes the access authentication device to perform the steps of the method according to any one of the above embodiments.

[0014] Overall, compared with the prior art, the above technical solutions conceived by the present application can at least achieve the following beneficial effects:

[0015] 1) By segmenting the finite element simulation model of the high-speed maglev stator with constant guide, setting interval lengths between each of the stator units in the direction of train travel according to the bridge joint error parameters, and matching the mover finite element simulation model to obtain the motor simulation model, the running state of the high-speed maglev motor with constant guide in the presence of beam joint can be analyzed, and the related field is filled in.

[0016] 2) By establishing the high-speed maglev electromagnetic finite element model considering the beam joint error, and applying excitation current parameters to the mover excitation coil and cable current parameters to the long stator cable, the electromagnetic and dynamic characteristics of the motor can be accurately analyzed, and the basis and guidance for the engineering scheme are provided.

[0017] 3) By establishing the high-speed maglev electromagnetic finite element model considering the beam joint error, the construction conditions can be dynamically adjusted, the key engineering constraints affecting the high-speed maglev motor with constant guide can be determined, and guidance for the site civil construction is provided. BRIEF DESCRIPTION OF DRAWINGS

[0018] In order to more clearly illustrate the technical solutions in the embodiments of the present application, the drawings required to be used in the embodiments will be briefly introduced as follows. Obviously, the drawings in the following description only constitute some embodiments of the present application, and for those skilled in the art, other drawings can also be obtained from these drawings without creative effort.

[0019] Figure 1 A flow chart of a magnetic levitation motor modeling method considering beam gap error provided by the embodiment of the present application;

[0020] Figure 2 A structure schematic diagram of a mover iron core and a stator iron core matching provided by the embodiment of the present application;

[0021] Figure 3 A structure schematic diagram of a beam gap of a magnetic levitation motor model provided by the embodiment of the present application;

[0022] Figure 4 A structure schematic diagram of a magnetic levitation motor modeling system considering beam gap error provided by the embodiment of the present application;

[0023] Figure 5 A structure schematic diagram of an electronic device provided by the embodiment of the present application;

[0024] Figure 6 A structure schematic diagram of a computer readable storage medium provided by the embodiment of the present application. DETAILED DESCRIPTION

[0025] In order to make the objects, technical solutions and advantages of the present application more clear, the present application will be further described in detail below with reference to the drawings and embodiments. It should be understood that the specific embodiments described herein are only used to explain the present application, and are not used to limit the present application. In addition, the technical features involved in each embodiment of the present application described below can be combined with each other as long as there is no conflict.

[0026] The terms "first", "second", "third", etc. in the specification and claims of the present application and the above-mentioned drawings are used to distinguish different objects, and are not used to describe a specific order. In addition, the terms "include" and "have" and any variations thereof are intended to cover non-exclusive inclusion. For example, a process, method, system, product or device including a series of steps or units is not limited to the listed steps or units, but can optionally include steps or units not listed, or can optionally include other steps or units inherent to the process, method, product or device.

[0027] As Figure 1As shown, the first embodiment of the present application proposes a modeling method of a maglev motor considering beam joint error, for example, comprising: step S1, establishing a mover finite element simulation model according to the configuration and size parameters of a high-speed maglev mover; step S2, establishing a stator finite element simulation model segmented and spliced with each other according to the configuration and size parameters of a high-speed maglev stator; step S3, setting the interval length of each stator unit along the train running direction according to the bridge joint error parameters, and matching the mover finite element simulation model with the stator finite element simulation model to obtain a high-speed maglev linear motor finite element simulation model.

[0028] In step S1, for example, the configuration and size parameters of a high-speed maglev mover are obtained by a host computer, and a mover finite element simulation model is established accordingly. Specifically, for example, first, the basic lines of each part of the mover core are drawn to form the outer frame contour of each part, and then the configuration region (Region) such as slotting is designed based on the outer frame contour of the mover core to obtain a mover core model.

[0029] In an embodiment, for example, after linear array and mirror image replication of the regions of all slots in the mover core model, the overall region of the core is removed from all slot corresponding regions by using the Boolean operation function to form the final mover core model. In addition, for the mover excitation coil, a new sketch can be created, the position is constrained using the "Project Outline to Sketch" function, and then the region is generated, mirror image replication and linear array operations are performed to generate the excitation coil.

[0030] Further, after drawing the mover excitation coil, for example, the excitation current parameters are applied, and the mover core model is matched to form the mover finite element simulation model under ideal conditions.

[0031] In step S2, the long stator unit is modeled in a similar manner to the mover unit. Specifically, for example, the basic line contour of a certain segment of long stator core is drawn to form the outer frame contour of the long stator core, and the configuration region is designed based on the outer frame contour of the long stator core to obtain a stator core model.

[0032] In an embodiment, for example, the configuration regions including slotting, core gap, dovetail key and grounding cable slot are drawn on the outer frame contour of the long stator core, and after linear array and mirror image replication of the configuration regions, the overall region of the stator core is removed from the configuration regions by using the Boolean operation function to form the final stator core model. In addition, for example, the long stator cable is also drawn, and the cable current parameters are applied. Further, the position of the stator cable is constrained by the "Project Outline to Sketch" function, and the stator core model is matched to form the stator finite element simulation model under ideal conditions.

[0033] Since the form of the bridge joint error of the maglev train bridge appears as a gap between the two stator cores in the running direction, in step S3, the bridge joint error parameter is obtained, for example, and the gap length between the stator units in the running direction of the train is set according to the error parameter. In combination with Figure 2 As shown in the figure, for example, the mover finite element simulation model is matched with the stator finite element simulation model, that is, the finite element simulation model of the high-speed maglev linear motor with constant conductance is obtained.

[0034] It is worth mentioning that the stator finite element simulation model is in the form of segmented stator units when modeling, and the stator units are selected according to the design beam length and the stator core selection. Further, as shown in the figure, for example, two separate stator unit models are drawn at the bridge joint, one of the stator unit models is selected, and the Region Move function is used in the geometry editor to specify the moving mode as parallel, so that the stator unit model is offset by the actual length of the bridge joint in the running direction of the maglev train, that is, the finite element modeling of the high-speed maglev linear motor considering the long stator across the bridge joint is completed. Figure 3

[0035] Further, for the established mover unit finite element simulation model and the stator unit finite element simulation model, linear arrays can be performed according to actual maglev track parameters (such as track length) to form a finite element simulation model of a preset scale.

[0036] In summary, the maglev motor modeling method considering the bridge joint error proposed in the first embodiment of the present application can segmentally establish the finite element simulation model of the high-speed maglev stator with constant conductance, set the gap length between the stator units in the running direction of the train according to the bridge joint error parameter, and then match the mover finite element simulation model to obtain the motor simulation model, which can analyze the running state of the high-speed maglev with constant conductance when the bridge joint exists, and fill the gap in the related field; by establishing the high-speed maglev electromagnetic finite element model considering the bridge joint error, and applying the excitation current parameter to the mover excitation coil and the cable current parameter to the long stator cable, the electromagnetic characteristics and dynamic characteristics of the motor can be accurately analyzed, which provides basis and guidance for engineering solutions; by establishing the high-speed maglev electromagnetic finite element model considering the bridge joint error, the construction conditions can be dynamically adjusted, the key engineering constraints of the high-speed maglev with constant conductance can be determined, and guidance is provided for site civil construction.

[0037] As shown in the figure, the second embodiment of the present application also provides a maglev motor modeling system 20 considering the bridge joint error, which includes, for example: a mover model establishing module 201, a stator model establishing module 202, and a maglev motor model obtaining module 203. Figure 4

[0038] ​​The mover model establishing module 201 is configured to establish a mover finite element simulation model according to the configuration and size parameters of the high-speed maglev mover with constant conductance. The stator model establishing module 202 is configured to establish a plurality of stator finite element simulation models which are segmented and spliced with each other according to the configuration and size parameters of the high-speed maglev stator with constant conductance. The maglev motor model obtaining module 203 is configured to set the interval length between the stator units in the direction of train travel according to the bridge joint error parameters, and match the mover finite element simulation model with the stator finite element simulation model to obtain a high-speed maglev linear motor finite element simulation model with constant conductance.

[0039] It is worth mentioning that the maglev motor modeling method considering the bridge joint error implemented by the maglev motor modeling system 20 considering the bridge joint error disclosed in the second embodiment of the present application is as described in the foregoing first embodiment, and thus will not be described in detail here. Alternatively, each component in the second embodiment and the above-mentioned other operations or functions are respectively configured to implement the method described in the first embodiment, and the beneficial effects of the present embodiment are the same as those of the foregoing first embodiment, and thus will not be described here for the sake of brevity.

[0040] As shown in Figure 5 the third embodiment of the present application further provides an electronic device 30, which comprises a memory 32 and one or more processors 31 connected to the memory 32. The memory 32 stores a computer program, and the processor 31 is configured to execute the computer program to implement the maglev motor modeling method considering the bridge joint error as described in the first embodiment. The specific maglev motor modeling method considering the bridge joint error can refer to the method described in the first embodiment, and thus will not be described here for the sake of brevity, and the beneficial effects of the present embodiment are the same as those of the maglev motor modeling method considering the bridge joint error provided in the first embodiment.

[0041] As shown in Figure 6 the fourth embodiment of the present application further provides a computer readable storage medium having a computer program stored thereon, which is executed by a processor to implement the steps of the method described in the first embodiment, and the computer readable storage medium provided in the present embodiment has the same beneficial effects as the maglev motor modeling method considering the bridge joint error provided in the first embodiment.

[0042] The computer readable storage medium can include, but is not limited to, any type of disk, including a floppy disk, an optical disk, a DVD, a CD-ROM, a micro drive, and a magneto-optical disk, a ROM, a RAM, an EPROM, an EEPROM, a DRAM, a VRAM, a flash memory device, a magnetic card or an optical card, a nanosystem (including a molecular memory IC), or any type of medium or device suitable for storing instructions and / or data.

[0043] It should be noted that, for the aforementioned method embodiments, for the sake of simple description, they are all described as a combination of a series of actions, but those skilled in the art should know that the present application is not limited to the order of the actions described, because according to the present application, certain steps can be performed in other orders or simultaneously. Secondly, those skilled in the art should know that the embodiments described in the specification are all preferred embodiments, and the actions and modules involved are not necessarily necessary for the present application.

[0044] In the above embodiments, the description of each embodiment is focused on, and the parts not described in detail in a certain embodiment can be referred to the related description of other embodiments.

[0045] Those of ordinary skill in the art can understand that all or part of the steps of the various methods in the above embodiments can be completed by a program instructing related hardware, and the program can be stored in a computer readable memory, which can include a flash disk, a read-only memory (ROM), a random access memory (RAM), a magnetic disk or an optical disk, etc.

[0046] The above are only exemplary embodiments of the present disclosure, and cannot limit the scope of the present disclosure. That is, any equivalent changes and modifications made in accordance with the teachings of the present disclosure are still within the scope of the present disclosure. Those skilled in the art will easily think of embodiments of the present disclosure after considering the specification and practicing the disclosure herein. The present application is intended to cover any variations, uses or adaptive changes of the present disclosure, which follow the general principles of the present disclosure and include common knowledge or conventional technical means in the technical field not described in the present disclosure. The specification and examples are only considered as exemplary, and the scope and spirit of the present disclosure are defined by the claims.

[0047] The technical features of the above embodiments can be combined arbitrarily, and for the sake of simple description, not all possible combinations of the technical features in the above embodiments are described, however, as long as the combination of the technical features does not exist contradictory, it should be considered as the scope of the present disclosure.

[0048] Those skilled in the art readily understand that the above only the preferred embodiments of the present application, and is not intended to limit the present application, any modification, equivalent replacement and improvement made within the spirit and principles of the present application shall be included in the protection scope of the present application.

Claims

1. A method of modeling a maglev motor considering beam gap error, characterized in that, The application relates to a method for establishing a finite element simulation model of a high-speed maglev linear motor. The method comprises the following steps: According to the configuration and size parameters of the high-speed maglev mover, a mover finite element simulation model is established; According to the configuration and size parameters of the high-speed maglev stator, a plurality of stator finite element simulation models of segmented stators are established; According to the bridge joint error parameters, the interval length between each stator unit in the direction of train travel is set, and the mover finite element simulation model and the stator finite element simulation model are matched to obtain a high-speed maglev linear motor finite element simulation model; The method comprises the following steps: The basic lines of the mover core are drawn to form the outer frame contour of the mover core, and the configuration area is designed based on the outer frame contour of the mover core to obtain a mover core model; The excitation coil of the mover is drawn, the excitation current parameters are applied, and the mover finite element simulation model under ideal conditions is formed by matching the mover core model; The configuration area is designed based on the outer frame contour of the long stator core to obtain a stator core model; After linear array and mirror image replication of the areas of all slots, the stator core model is formed by removing the areas corresponding to all slots from the overall area of the stator core through Boolean operation function; The basic line contour of a long stator core is drawn to form the outer frame contour of the long stator core, and the configuration area is designed based on the outer frame contour of the long stator core to obtain a stator core model; The long stator cable is drawn, the cable current parameters are applied, and the stator finite element simulation model under ideal conditions is formed by matching the stator core model; The configuration area is designed based on the outer frame contour of the long stator core to obtain a stator core model; The configuration area including slotting, core gap, dovetail key and grounding cable slot is drawn on the outer frame contour of the long stator core, and the stator core model is formed by removing the configuration area from the overall area of the stator core through Boolean operation function after linear array and mirror image replication of the configuration area; The interval length between each stator unit in the direction of train travel is set according to the bridge joint error parameters; The two separated stator unit models at the bridge joint are drawn, and one of the stator unit models is offset by the length of the bridge joint in the direction of train travel by using a geometric editor; The method further comprises the following steps: The mover finite element simulation model and the stator finite element simulation model are linearly arrayed according to the maglev track parameters to form a finite element simulation model of a preset scale.

2. A levitation motor modeling system considering beam gap error for implementing the levitation motor modeling method considering beam gap error as claimed in claim 1, characterized by, The application relates to a method for establishing a finite element simulation model of a high-speed maglev linear motor. The method comprises the following steps: A mover model establishing module is used for establishing a mover finite element simulation model according to the configuration and size parameters of the high-speed maglev mover; A stator model establishing module is used for establishing a plurality of stator finite element simulation models of segmented stators according to the configuration and size parameters of the high-speed maglev stator; The maglev motor model obtaining module is configured to set interval lengths between the stator units in the train running direction according to the bridge joint error parameters, and match the mover finite element simulation model with the stator finite element simulation model to obtain a finite element simulation model of the high-speed maglev linear motor with constant guide.

3. An electronic device, comprising: Comprising: a memory storing a computer program and one or more processors connected to the memory, the memory storing a computer program, the processors configured to execute the computer program to implement the method of claim 1.

4. A computer-readable storage medium, characterized in that, having stored thereon a computer program executable by the access authentication device, the computer program, when executed on the access authentication device, causing the access authentication device to perform the steps of the method of claim 1.

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