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Parameter Collaborative Optimization Motor Design Method Combining Numerical Calculation and Analytical Analysis

A numerical calculation and collaborative optimization technology, applied in the electrical field, can solve the problems of not considering the magnetic field, temperature field, vibration mode, the inability to consider the subtle distribution changes of physical parameters of structural parts, global convergence and insufficient iteration speed, etc. Achieve the effect of fast global optimization ability, improve calculation accuracy, and improve scientific rationality

Active Publication Date: 2017-11-07
BEIJING JIAOTONG UNIV
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AI Technical Summary

Problems solved by technology

[0003] The existing motor optimization design methods seldom consider the above-mentioned problems, and the existing defects are as follows: 1) The existing motor optimization design is mostly carried out to improve the performance of a certain aspect such as electromagnetic, temperature, vibration and noise, and does not consider the impact of the optimization scheme on other aspects of the motor performance. 2) Existing motor optimization design methods are mostly carried out based on analytical calculation programs such as "magnetic circuit" and "thermal circuit", without considering specific conditions such as magnetic field, temperature field, vibration mode, etc. Subtle distribution changes of parameters; 3) For the optimal design of motors with multi-objective, multi-variable and large data calculations, the existing optimization algorithms have shortcomings in terms of global convergence and iteration speed

Method used

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  • Parameter Collaborative Optimization Motor Design Method Combining Numerical Calculation and Analytical Analysis
  • Parameter Collaborative Optimization Motor Design Method Combining Numerical Calculation and Analytical Analysis
  • Parameter Collaborative Optimization Motor Design Method Combining Numerical Calculation and Analytical Analysis

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Embodiment 1

[0038] Embodiment 1: as Figure 1 to Figure 3 as shown,

[0039] Step 1) Numerical calculation of the nonlinear electromagnetic field in the motor, the distribution of the magnetic field and the electromagnetic performance parameters of the motor vary with the size of the motor structural parts, and it is concluded that the size of the structural parts X=(x 1 ,x 2 ,x 3 ,...,x k ) T Analytical Expression Function Cluster F for Electromagnetic Properties of Variables e =(f e1 ,f e2 ,f e3 ,..., f en );

[0040] The electromagnetic performance of the motor is different according to the design requirements, including but not limited to armature current I(X), efficiency eff(X), power factor pf(X), starting current Ist(X), starting torque Tst(X ).

[0041]

[0042] Step 2) Multi-convergence iterative physical field coupling calculation of electromagnetic, fluid and temperature in the motor, such as figure 2 As shown, determine the transient temperature distribution law ...

Embodiment 2

[0060] Embodiment 2: as figure 1 , figure 2 with Figure 4 As shown, the other steps are the same as in Example 1, in which step 7) the sub-objective function weighting operation adopts the unbalanced relative two-way weighting method to transform the objective function, and assigns different weighting coefficients ω according to the priority and severity of the optimization objective i ≠ω c (0<i≤j, 0<c≤j), highlighting key objects in the optimization target system;

[0061] At the same time, each value under the rated working condition is taken as the benchmark correction weighting coefficient Eliminate the influence of the numerical value of various physical performance parameters on the optimization results;

[0062] According to the requirements of performance indicators, positive weights and negative weights are used respectively for the improvement and reduction goals, and the direction of the extreme value goal of the optimization function is unified, which is nor...

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Abstract

The invention belongs to the technical field of electrics, and particularly relates to a method for designing a motor through numerical calculation and analytical analysis combined parameter collaborative optimization. The changes of electromagnetism, temperature, fluid, thermal stress, vibration, noise and other physical parameters in the motor are studied through the numerical calculation, an electromagnetic performance analytical expression function cluster with the structural member size as the variant, a maximum working temperature analytical function of different assemblies, a maximum temperature difference analytical function of the different assemblies, a maximum thermal stress analytical expression function, a motor electromagnetic noise change function, a maximum vibration mode value of different directions of the assemblies and a constant frequency analytical expression function are concluded, then the refined designing of the structural member size is carried out by comprehensively taking performance of all aspects of the motor into consideration, and the calculating accuracy of all performance indexes is greatly improved. An objective function is improved through a non-equilibrium relative both-way weighting method, and the effect on a calculating result of the values of different performance indexes is removed. The quantum calculation is introduced into an intelligent optimization algorithm, and the algorithm has better population diversities, global optimization capabilities and higher convergence speed.

Description

technical field [0001] The invention belongs to the field of electrical technology, and in particular relates to a method for designing a motor by combining numerical calculation and analytical analysis to optimize parameters collaboratively. Background technique [0002] The size of the air gap and the shape of the slots of the motor not only affect the magnetic circuit structure and output performance parameters of the motor, but also affect the air path and heat conduction path of the cooling air flowing through the motor, thereby affecting the temperature distribution; on the other hand, Changes in the structural dimensions of the motor cogging, iron core and magnetic poles will cause changes in the harmonic components of the air-gap magnetic field, thereby affecting the electromagnetic noise and vibration of the motor during operation. The structure of the motor is directly related to the size of the magnetic circuit, the heat conduction path and the fluid path of the c...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06F17/50
Inventor 张晓晨李伟力曹君慈邱洪波李栋曹钊滨王耀玉
Owner BEIJING JIAOTONG UNIV
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