Integrated development system and method for magnetic bearing and motor
Patent Information
- Application Number
- CN202310966620.X
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- Filing Date
- 2023-08-02
- Publication Date
- 2026-09-25
- Estimated Expiration
- 2043-08-02
AI Technical Summary
[0004]基于此,有必要针对上述现有仿真软件直接用于对多物理系统的建模困难的技术问题,提供一种磁浮轴承与电机的一体化开发系统和方法
[0021]本发明设计了一种磁浮轴承与电机的一体化开发系统和方法,该系统包括磁热力耦合分析模块、动力学分析模块和控制与交互模块,通过磁热力耦合分析模块可基于控制与交互模块初步分析用户设计需求得到的参数扫描区间,构建参数化结构模型获取结构参数,并对结构参数进行电场、磁场、温度场耦合分析获取磁热力耦合仿真结果;通过控制与交互模块可对磁热力耦合仿真结果进行参数寻优,获取最优结构参数,并可构建磁浮轴承和电机的智能控制算法模型、电磁力模型及传感器模型;通过动力学分析模块可基于最优结构参数构建转子系统参数化模型,并对转子系统参数化模型以及的智能控制算法模型、电磁力模型及传感器模型进行动力学仿真分析,生成符合设计需求的转子系统参数化模型并获取磁浮轴承和电机的最终设计参数,完成磁浮轴承和电机的一体化开发设计并生成设计报告。通过该系统可基于用户输入的设计需求,集成多款仿真软件进行参数化建模、磁热力耦合仿真、参数寻优和动力学仿真分析来统一设计开发磁浮轴承和电机,能够有效地模拟磁浮轴承和电机在不同使用场景下的响应和行为,简化了设计开发流程,提高了设计开发效率,具有较好的实际应用前景。
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Abstract
Description
Technical Field
[0001] This application relates to the field of engineering simulation technology, and in particular to an integrated development system and method for magnetic levitation bearings and motors. Background Technology
[0002] Magnetic levitation bearings offer advantages such as no mechanical contact, no wear, long lifespan, low noise, and high speed. They can meet the requirements of high speed, high energy density, and low energy consumption during ultra-high-speed and critical bending operations. Currently, they are widely used in industrial manufacturing, semiconductor integrated circuits, medical and environmental protection, and energy and chemical industries, and have broad market application prospects.
[0003] Because magnetic levitation bearings may have unique requirements and challenges in different application scenarios, such as high temperature, high speed, and corrosive environments, it is necessary to consider how to adapt to different application environments and requirements, and carry out customized design and optimization adjustments, which increases the complexity of design and development. The design and development process of magnetic levitation bearings is complex, and currently, there is no established relevant theory that can be used to uniformly describe magnetic levitation bearings / permanent magnet synchronous motors. It is very difficult to establish a unified global model, and most existing simulation software is difficult to directly use for modeling multi-physical systems that include mechanical, electrical, magnetic, thermal, and control aspects. Summary of the Invention
[0004] Therefore, it is necessary to provide an integrated development system and method for magnetic levitation bearings and motors to address the technical problem of the difficulty in directly using existing simulation software for modeling multi-physics systems.
[0005] An integrated development system for magnetic levitation bearings and motors, comprising: a magnetothermal coupling analysis module, a dynamics analysis module, and a control and interaction module;
[0006] The magnetothermal coupling analysis module is used to construct a parameterized structural model based on the parameter scanning range obtained from the preliminary analysis of user design requirements by the control and interaction module. The parameterized structural model is used to perform parameterized scanning on the magnetic levitation bearing and motor to obtain structural parameters. The finite element software Ansys is then used to perform bidirectional coupled simulation of electromagnetic and temperature fields on the structural parameters to obtain magnetothermal coupling simulation results. The magnetothermal coupling simulation results include electromagnetic field simulation results and temperature field simulation results.
[0007] The control and interaction module includes a human-machine interface and a Simulink control system. The human-machine interface includes a parametric model area, a structural parameter design area, and a simulation result display area. The parametric model area is used to display the parametric model in real time; the structural parameter design area is used to obtain user design requirements and perform preliminary analysis to obtain the parameter scanning range; the simulation result display area is used to obtain and display the magnetothermal coupling simulation results output by the magnetothermal coupling analysis module and the dynamic simulation results output by the dynamic analysis module, and to perform multi-objective optimization on the magnetothermal coupling simulation results to obtain the optimal structural parameters of the magnetic levitation bearing and motor; the Simulink control system is used to construct the intelligent control algorithm model, electromagnetic force model, and sensor model of the magnetic levitation bearing and motor.
[0008] The dynamics analysis module is used to construct a parameterized model of the rotor system based on the optimal structural parameters output by the control and interaction module. It then calls Adams software to perform dynamic simulation analysis on the parameterized model of the rotor system, as well as the intelligent control algorithm model, electromagnetic force model, and sensor model constructed by the Simulink control system. This process continues until a parameterized model of the rotor system that meets the user's design requirements is obtained, and the final design parameters of the magnetic levitation bearing and motor are acquired. This completes the integrated development and design of the magnetic levitation bearing and motor and generates a design report.
[0009] In one embodiment, the magnetothermal coupling analysis module is used to obtain the parameter scanning range obtained by the control and interaction module from the preliminary analysis of the user's design requirements. The control and interaction module controls the Ansys Electronics software to construct a parameterized structural model. The parameterized structural model is used to perform parameterized scanning on the magnetic levitation bearing and the motor to obtain the structural parameters of the magnetic levitation bearing and the motor. The Ansys Electronics software and Ansys Workbench software are used to perform bidirectional coupling simulation of the electromagnetic field and temperature field on the structural parameters to obtain the magnetothermal coupling simulation results.
[0010] In one embodiment, the optimal structural parameters of the magnetic levitation bearing and the motor include optimal electromagnetic force, optimal thermal field distribution, number of magnetic poles, optimal magnetic circuit, and optimal width-to-diameter ratio.
[0011] In one embodiment, the parameterized model area is used to display in real time the parameterized structural model constructed by the magnetothermal coupling analysis module and the rotor system parameterized model constructed by the dynamics analysis module.
[0012] In one embodiment, after obtaining the user's design requirements, the structural parameter design area calls AnsysElectronics software to perform a preliminary analysis of the user's design requirements, obtains the parameter scanning range, and displays it.
[0013] In one embodiment, the simulation results display area uses a multi-objective optimization algorithm in MATLAB to perform multi-objective optimization on the magnetic-thermal-mechanical coupling simulation results to obtain the optimal structural parameters of the magnetic levitation bearing and the motor.
[0014] In one embodiment, the human-computer interaction interface is designed based on the App Designer in MATLAB.
[0015] An integrated development method for magnetic levitation bearings and motors, employing the aforementioned integrated development system for magnetic levitation bearings and motors, includes the following specific steps:
[0016] Step 1: Obtain user design requirements and conduct preliminary analysis to obtain the parameter scanning range;
[0017] Step 2: Construct a parameterized structural model based on the parameter scanning range. Perform parameterized scanning on the magnetic levitation bearing and motor using the parameterized structural model to obtain structural parameters. Then, use the finite element software Ansys to perform bidirectional coupled simulation of electromagnetic and temperature fields on the structural parameters to obtain magnetothermal coupling simulation results. The magnetothermal coupling simulation results include electromagnetic field simulation results and temperature field simulation results.
[0018] Step 3: Perform multi-objective optimization on the magnetothermal coupling simulation results to obtain the optimal structural parameters of the magnetic levitation bearing and motor, and call the Simulink control system to build the intelligent control algorithm model, electromagnetic force model and sensor model of the magnetic levitation bearing and motor.
[0019] Step 4: Construct a parameterized model of the rotor system based on the optimal structural parameters, and call Adams software to perform dynamic simulation analysis on the parameterized model of the rotor system, as well as the intelligent control algorithm model, electromagnetic force model, and sensor model constructed by the Simulink control system. If the dynamic simulation results obtained from the analysis meet the user's design requirements, proceed to step 5; otherwise, continue to step 1.
[0020] Step 5: Output a parametric model of the rotor system that meets the user's design requirements and obtain the final design parameters of the magnetic levitation bearing and motor. Complete the integrated development and design of the magnetic levitation bearing and motor and generate a design report.
[0021] This invention designs an integrated development system and method for magnetic levitation bearings and motors. The system includes a magnetothermal coupling analysis module, a dynamics analysis module, and a control and interaction module. The magnetothermal coupling analysis module, based on the parameter scanning range obtained from the user's design requirements through the control and interaction module, constructs a parameterized structural model to obtain structural parameters, and performs electric field, magnetic field, and temperature field coupling analysis on the structural parameters to obtain magnetothermal coupling simulation results. The control and interaction module optimizes the parameters based on the magnetothermal coupling simulation results to obtain the optimal structural parameters and constructs intelligent control algorithm models, electromagnetic force models, and sensor models for the magnetic levitation bearings and motors. The dynamics analysis module constructs a parameterized rotor system model based on the optimal structural parameters and performs dynamic simulation analysis on the rotor system parameterized model, as well as the intelligent control algorithm model, electromagnetic force model, and sensor model, generating a rotor system parameterized model that meets the design requirements and obtaining the final design parameters for the magnetic levitation bearings and motors. This completes the integrated development and design of the magnetic levitation bearings and motors and generates a design report. This system integrates multiple simulation software programs to perform parametric modeling, magnetothermal coupling simulation, parameter optimization, and dynamic simulation analysis based on user-input design requirements, enabling unified design and development of magnetic levitation bearings and motors. It can effectively simulate the response and behavior of magnetic levitation bearings and motors under different usage scenarios, simplifying the design and development process, improving design and development efficiency, and has good practical application prospects. Attached Figure Description
[0022] Figure 1 This is a schematic diagram of the framework structure of an integrated development system for magnetic levitation bearings and motors in one embodiment;
[0023] Figure 2 This is a schematic diagram of the human-computer interaction interface in one embodiment;
[0024] Figure 3 This is a schematic diagram of the interface for obtaining the parameter scanning range in an integrated development system for magnetic levitation bearings and motors in one embodiment.
[0025] Figure 4 This is a schematic diagram of the interface for generating a parameterized structural model in an integrated development system for magnetic levitation bearings and motors, as shown in one embodiment.
[0026] Figure 5 This is a flowchart illustrating the process of obtaining user design requirements and performing preliminary analysis through a human-computer interaction interface in one embodiment.
[0027] Figure 6 This is a flowchart illustrating an integrated development method for magnetic levitation bearings and motors in one embodiment. Detailed Implementation
[0028] To make the objectives, technical solutions, and advantages of this application clearer, the following detailed description is provided in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are merely illustrative and not intended to limit the scope of this application.
[0029] In one embodiment, such as Figure 1 As shown, an integrated development system and method for magnetic levitation bearings and motors are provided.
[0030] The integrated development system for magnetic levitation bearings and motors includes: a magnetothermal coupling analysis module, a dynamic analysis module, and a control and interaction module;
[0031] The magnetothermal coupling analysis module is used to construct a parameterized structural model based on the parameter scanning range obtained from the preliminary analysis of user design requirements by the control and interaction module. This model is then used to perform parameterized scanning of the magnetic levitation bearing and motor to obtain structural parameters. The finite element software Ansys is then used to perform bidirectional coupled simulation of the electromagnetic and temperature fields on these structural parameters, yielding magnetothermal coupling simulation results. These results include electromagnetic field simulation results and temperature field simulation results. Based on these results, the electromagnetic and temperature rise characteristics of the magnetic levitation bearing can be understood. The electromagnetic and temperature field simulation results mainly contain electromagnetic force data, temperature rise data, eddy current loss data, and inductance values.
[0032] The control and interaction module includes the human-machine interface and the Simulink control system, such as... Figure 2 As shown, the human-computer interaction interface includes a parametric model area, a structural parameter design area, and a simulation result display area. The parametric model area is used to display the parametric model in real time; the structural parameter design area is used to obtain user design requirements and perform preliminary analysis to obtain the parameter scanning range; the simulation result display area is used to obtain and display the magnetothermal coupling simulation results output by the magnetothermal coupling analysis module and the dynamic simulation response results output by the dynamic analysis module, and to perform multi-objective optimization on the magnetothermal coupling simulation results to obtain the optimal structural parameters of the magnetic levitation bearing and motor; the Simulink control system is used to construct the intelligent control algorithm model, electromagnetic force model, and sensor model of the magnetic levitation bearing and motor.
[0033] The dynamics analysis module is used to construct a parameterized model of the rotor system based on the optimal structural parameters output by the control and interaction module. It then calls Adams software to perform dynamic simulation analysis on the parameterized model of the rotor system, as well as the intelligent control algorithm model, electromagnetic force model, and sensor model constructed by the Simulink control system. This process continues until a parameterized model of the rotor system that meets the user's design requirements is obtained, and the final design parameters of the magnetic levitation bearing and motor are acquired. This completes the integrated development and design of the magnetic levitation bearing and motor and generates a design report.
[0034] Furthermore, the integrated development system designed in this invention can also be applied to the design of integrated sensors in magnetic levitation bearings. In order to improve design efficiency, the system also introduces a database of commonly used design parameters, such as basic models of radial magnetic levitation bearings and permanent magnet synchronous motors with 8, 12, and 16 magnetic poles, so that users can directly select and apply them.
[0035] In one embodiment, the magnetothermal coupling analysis module is used to obtain the parameter scanning range obtained from the preliminary analysis of user design requirements by the control and interaction module. It then uses the control and interaction module to control Ansys Electronics software to construct a parameterized structural model. This model is used to perform parameterized scanning of the magnetic levitation bearing and motor, obtaining their structural parameters. Finally, Ansys Electronics and Ansys Workbench software are used to perform bidirectional coupled simulation of the electromagnetic and temperature fields on these structural parameters, obtaining the magnetothermal coupling simulation results. Specifically, the magnetothermal coupling analysis module determines, for example, the parameter scanning range obtained from the preliminary analysis of user design requirements by the control and interaction module. Figure 3 After scanning the parameter range as shown, as Figure 4 As shown, first select the simulation type, such as 2D, 3D, or UDP (User Datagram Protocol) simulation, then adjust the basic parameters of the magnetic levitation bearing and motor, and finally generate the parametric structural model with one click. Figure 4 The geometric model in the model is used to drive Ansys to perform simulation calculations.
[0036] In one embodiment, the optimal structural parameters of the magnetic levitation bearing and the motor include optimal electromagnetic force, optimal thermal field distribution, number of magnetic poles, optimal magnetic circuit, and optimal width-to-diameter ratio.
[0037] In one embodiment, the parameterized model area is used to display in real time the parameterized structural model constructed by the magnetothermal coupling analysis module and the rotor system parameterized model constructed by the dynamics analysis module.
[0038] In one embodiment, such as Figure 5 As shown, after obtaining the user's design requirements, the structural parameter design area calls Ansys Electronics software to perform a preliminary analysis of the user's design requirements, obtains the parameter scan range, and displays it. Specifically, the structural parameter design area obtains the input user design requirements and exports a data file, including geometric parameter data, call ID for each calculation, and the type of calculation to be performed. Then, it invokes the Ansys Electronics script written in Python to perform calculations, determines whether the calculation type requires a graphical interface, selects the corresponding calculation method, obtains the parameter scan range, and displays it in the structural parameter design area.
[0039] In one embodiment, the simulation results display area uses a multi-objective optimization algorithm in MATLAB to perform multi-objective optimization on the magnetic-thermal-mechanical coupling simulation results to obtain the optimal structural parameters of the magnetic levitation bearing and the motor.
[0040] In one embodiment, the human-computer interaction interface is designed based on the GUI programming tool APP Designer in MATLAB.
[0041] In one embodiment, such as Figure 6 As shown, an integrated development method for magnetic levitation bearings and motors is provided, the method comprising:
[0042] Step 1: Obtain user design requirements and conduct preliminary analysis to obtain the parameter scanning range;
[0043] Step 2: Construct a parameterized structural model based on the parameter scanning range. Perform parameterized scanning on the magnetic levitation bearing and motor using the parameterized structural model to obtain structural parameters. Then, use the finite element software Ansys to perform bidirectional coupled simulation of electromagnetic and temperature fields on the structural parameters to obtain magnetothermal coupling simulation results. The magnetothermal coupling simulation results include electromagnetic field simulation results and temperature field simulation results.
[0044] Step 3: Perform multi-objective optimization on the magnetothermal coupling simulation results to obtain the optimal structural parameters of the magnetic levitation bearing and motor, and call the Simulink control system to build the intelligent control algorithm model, electromagnetic force model and sensor model of the magnetic levitation bearing and motor.
[0045] Step 4: Construct a parameterized model of the rotor system based on the optimal structural parameters, and call Adams software to perform dynamic simulation analysis on the parameterized model of the rotor system, as well as the intelligent control algorithm model, electromagnetic force model, and sensor model constructed by the Simulink control system. If the dynamic simulation results obtained from the analysis meet the user's design requirements, proceed to step 5; otherwise, continue to step 1.
[0046] Step 5: Output a parametric model of the rotor system that meets the user's design requirements and obtain the final design parameters of the magnetic levitation bearing and motor. Complete the integrated development and design of the magnetic levitation bearing and motor and generate a design report.
[0047] It should be understood that, although Figure 6 The steps in the flowchart are shown sequentially as indicated by the arrows, but these steps are not necessarily executed in the order indicated by the arrows. Unless otherwise specified herein, there is no strict order in which these steps are executed, and they can be performed in other orders. Figure 6At least some of the steps in the process may include multiple sub-steps or multiple stages. These sub-steps or stages are not necessarily executed at the same time, but can be executed at different times. The execution order of these sub-steps or stages is not necessarily sequential, but can be executed in turn or alternately with other steps or at least some of the sub-steps or stages of other steps.
[0048] The technical features of the above embodiments can be combined in any way. For the sake of brevity, not all possible combinations of the technical features in the above embodiments are described. However, as long as there is no contradiction in the combination of these technical features, they should be considered to be within the scope of this specification.
[0049] The embodiments described above are merely illustrative of several implementation methods of this application, and while the descriptions are relatively specific and detailed, they should not be construed as limiting the scope of the invention patent. It should be noted that those skilled in the art can make various modifications and improvements without departing from the concept of this application, and these all fall within the protection scope of this application. Therefore, the protection scope of this patent application should be determined by the appended claims.
Claims
1. An integrated development system for magnetic levitation bearings and motors, characterized in that, The integrated development system for magnetic levitation bearings and motors includes: a magnetothermal coupling analysis module, a dynamic analysis module, and a control and interaction module; The magnetothermal coupling analysis module is used to construct a parameterized structural model based on the parameter scanning range obtained from the preliminary analysis of user design requirements by the control and interaction module. The module then performs a parameterized scan of the magnetic levitation bearing and motor using this model to obtain structural parameters. Finally, it uses the finite element software Ansys to perform a two-way coupled simulation of the electromagnetic and temperature fields on these structural parameters, obtaining the magnetothermal coupling simulation results. These simulation results include both electromagnetic field simulation results and temperature field simulation results. The control and interaction module includes a human-machine interface and a Simulink control system. The human-machine interface includes a parametric model area, a structural parameter design area, and a simulation result display area. The parametric model area is used to display the parametric model in real time. The structural parameter design area is used to obtain user design requirements and perform preliminary analysis to obtain parameter scanning ranges. The simulation result display area is used to obtain and display the magnetothermal coupling simulation results output by the magnetothermal coupling analysis module and the dynamic simulation results output by the dynamic analysis module, and to perform multi-objective optimization on the magnetothermal coupling simulation results to obtain the optimal structural parameters of the magnetic levitation bearing and motor. The Simulink control system is used to construct intelligent control algorithm models, electromagnetic force models, and sensor models for the magnetic levitation bearing and motor. The dynamic analysis module is used to construct a parameterized model of the rotor system based on the optimal structural parameters output by the control and interaction module, and to call Adams software to perform dynamic simulation analysis on the parameterized model of the rotor system and the intelligent control algorithm model, electromagnetic force model and sensor model constructed by the Simulink control system, until the parameterized model of the rotor system that meets the user's design requirements is obtained and the final design parameters of the magnetic levitation bearing and motor are obtained, thus completing the integrated development and design of the magnetic levitation bearing and motor and generating a design report.
2. The integrated development system for magnetic levitation bearings and motors according to claim 1, characterized in that, The magnetothermal coupling analysis module is used to obtain the parameter scanning range obtained by the control and interaction module from the preliminary analysis of user design requirements. It also uses the control and interaction module to control Ansys Electronics software to construct a parameterized structural model. The parameterized structural model is used to perform parameterized scanning on the magnetic levitation bearing and motor to obtain the structural parameters of the magnetic levitation bearing and motor. Finally, Ansys Electronics software and Ansys Workbench software are used to perform bidirectional coupling simulation of electromagnetic field and temperature field on the structural parameters to obtain the magnetothermal coupling simulation results.
3. The integrated development system for magnetic levitation bearings and motors according to claim 1, characterized in that, The optimal structural parameters of the magnetic levitation bearing and motor include optimal electromagnetic force, optimal thermal field distribution, number of magnetic poles, optimal magnetic circuit, optimal width-to-diameter ratio, optimal magnetic pole area, optimal number of turns, optimal inductance, and optimal current.
4. The integrated development system for magnetic levitation bearings and motors according to claim 1, characterized in that, The parameterized model area is used to display in real time the parameterized structural model constructed by the magnetothermal coupling analysis module and the rotor system parameterized model constructed by the dynamic analysis module.
5. The integrated development system for magnetic levitation bearings and motors according to claim 1, characterized in that, After obtaining the user's design requirements, the structural parameter design area calls Ansys Electronics software to perform a preliminary analysis of the user's design requirements, obtains the parameter scanning range, and displays it.
6. The integrated development system for magnetic levitation bearings and motors according to claim 1, characterized in that, The simulation results display area uses a multi-objective optimization algorithm in MATLAB to perform multi-objective optimization on the magnetothermal coupling simulation results to obtain the optimal structural parameters of the magnetic levitation bearing and the motor.
7. The integrated development system for magnetic levitation bearings and motors according to claim 1, characterized in that, The human-computer interaction interface was designed based on the APP Designer in MATLAB.
8. A method for the integrated development of magnetic levitation bearings and motors, characterized in that, The integrated development system for magnetic levitation bearings and motors according to any one of claims 1-7, wherein the specific steps of the method include: Step 1: Obtain user design requirements and conduct preliminary analysis to obtain the parameter scanning range; Step 2: Construct a parameterized structural model based on the parameter scanning range. Perform parameterized scanning on the magnetic levitation bearing and motor using the parameterized structural model to obtain structural parameters. Then, use the finite element software Ansys to perform bidirectional coupled simulation of electromagnetic and temperature fields on the structural parameters to obtain magnetothermal coupling simulation results. The magnetothermal coupling simulation results include electromagnetic field simulation results and temperature field simulation results. Step 3: Perform multi-objective optimization on the magnetothermal coupling simulation results to obtain the optimal structural parameters of the magnetic levitation bearing and motor, and call the Simulink control system to build the intelligent control algorithm model, electromagnetic force model and sensor model of the magnetic levitation bearing and motor. Step 4: Construct a parameterized model of the rotor system based on the optimal structural parameters, and call Adams software to perform dynamic simulation analysis on the parameterized model of the rotor system and the intelligent control algorithm model, electromagnetic force model and sensor model constructed by the Simulink control system. If the dynamic simulation results obtained from the analysis meet the user's design requirements, proceed to step 5; otherwise, continue to step 1. Step 5: Output a parametric model of the rotor system that meets the user's design requirements and obtain the final design parameters of the magnetic levitation bearing and motor. Complete the integrated development and design of the magnetic levitation bearing and motor and generate a design report.
Citation Information
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