A multi-parameter and multi-objective optimization design method for single-phase induction motor

Abstract

A multi-parameter and multi-objective optimization design method for a single-phase induction motor relates to a motor optimization design method, comprising step 1: obtaining electromagnetic noise data of the single-phase induction motor prototype through an electromagnetic noise test experiment of the single-phase induction motor prototype, analyzing the electromagnetic noise amplitude-frequency characteristics of the single-phase induction motor prototype using the test data, and finding the frequency component whose amplitude is greater than a set threshold; step 2: optimizing geometric structure parameters using an electromagnetic finite element model of the single-phase induction motor; step 3: optimizing circuit parameters using an electromagnetic analytical model of the single-phase induction motor. The present invention can quickly improve motor output performance and NVH performance by changing motor geometric structure parameters and circuit parameters on the basis of the prototype, thereby improving the market competitiveness of the product.

Description

Technical Field

[0001] The invention relates to a motor optimization design method, and more specifically to a multi-parameter and multi-objective optimization design method for a single-phase induction motor. Background Art

[0002] Single-phase induction motor is a type of motor powered by a single-phase AC power supply. Due to its simple structure, reliable operation, easy manufacturing, low cost, convenience, high efficiency and good working characteristics, it is widely used in small industrial equipment (textile machinery, medical machinery, food machinery, etc.) with only single-phase power supply, household appliances (washing machines, refrigerators, electric fans, air conditioners, etc.), power tools (such as hand drills) and automation instruments.

[0003] In recent years, the single-phase induction motor in my country has developed rapidly and the demand has continued to rise. With the development of science and technology and the improvement of people's living standards, users have higher and higher requirements for the performance of motors, but after the single-phase induction motor is designed, it often fails to achieve the best performance. The performance of a single-phase induction motor includes not only output performance (such as output torque, output power and efficiency), but also NVH (Noise, Vibration, and Harshness) performance, which will affect the comfort of the motor. In some occasions where comfort is required, the NVH performance of the motor must be considered. For single-phase induction motors, electromagnetic noise is one of the main factors affecting its NVH performance. The source of electromagnetic noise is the electromagnetic force acting on the surface of the outer stator teeth of the motor. Weakening the electromagnetic force component that has a greater impact on electromagnetic noise can weaken the electromagnetic noise from the source, thereby improving the NVH performance of the motor.

[0004] When the materials of various motor components are determined, the parameters that affect the motor performance mainly include two categories: geometric structure parameters and circuit parameters. The effects of various parameters on various motor performances are different, and there is a complex constraint relationship between various motor performances, which makes it difficult to achieve the best performance of all motors. In order to improve the performance of the motor, it is necessary to take the geometric parameters and circuit parameters of the motor as optimization parameters, take the various motor performances as optimization targets, and find the optimal values ​​of each optimization parameter under certain constraints. However, for single-phase induction motors, most of the existing single-phase induction motor optimization design methods only optimize the motor performance by changing the motor geometric structure parameters, which often cannot meet the motor output performance improvement and NVH performance improvement at the same time, that is: if the output performance is improved, the NVH performance will deteriorate, and if the NVH performance is improved, it will sacrifice some output performance. In fact, when the motor type and topology are determined, the method of improving the motor performance by only changing the motor geometric structure parameters itself has this limitation. Therefore, it is difficult to simultaneously consider the geometric structure parameters and circuit parameters of the single-phase induction motor using the existing methods, and it is difficult to simultaneously achieve the output performance improvement and NVH performance improvement of the single-phase induction motor. Summary of the invention

[0005] The purpose of the present invention is to solve the above-mentioned defects of the prior art and provide a multi-parameter and multi-objective optimization design method suitable for single-phase induction motors. This method is used to guide the optimization design process of single-phase induction motors. By changing the motor geometric structure parameters and circuit parameters on the basis of the prototype, the motor output performance and NVH performance can be quickly improved, thereby improving the market competitiveness of the product.

[0006] The technical solution adopted by the present invention to solve the above-mentioned defects of the prior art is:

[0007] A multi-parameter and multi-objective optimization design method for a single-phase induction motor comprises the following steps:

[0008] Step 1: Through the electromagnetic noise test of the single-phase induction motor prototype, the electromagnetic noise data of the single-phase induction motor prototype is obtained, and the electromagnetic noise amplitude-frequency characteristics of the single-phase induction motor prototype are analyzed by using the test data to find the frequency component whose amplitude is greater than the set (amplitude) threshold;

[0009] The specific steps are as follows:

[0010] 1.1 Carry out electromagnetic noise test on single-phase induction motor prototype in accordance with relevant motor noise test standards (such as GB / T 10069.1-2006 Rotating motor noise determination method and limit value Part 1: Rotating motor noise determination method);

[0011] 1.2 Perform fast Fourier transform on the test data to obtain the electromagnetic noise amplitude-frequency characteristic diagram of the single-phase induction motor prototype;

[0012] 1.3 Extract each characteristic frequency and its corresponding amplitude, the characteristic frequency is recorded as f i , the corresponding amplitude is recorded as A i , where f i =(2i-1)f0, i=1, 2, 3, ..., 10, f0=np / 60, n is the speed, p is the number of pole pairs;

[0013] 1.4 Set an amplitude threshold A0 and set each characteristic frequency f i The corresponding amplitude A i Compare with threshold A0 one by one. If A i >A0, then record this A i The corresponding f i , if there is no A i > A0, then reduce the value of A0 appropriately, repeat this step, and record all A values ​​greater than A0. i The corresponding f i ;

[0014] Step 2: Optimize the geometric structure parameters using the electromagnetic finite element model of the single-phase induction motor;

[0015] The specific steps are as follows:

[0016] 2.1 According to the prototype parameters, the electromagnetic finite element model of the single-phase induction motor is established, and the geometric structure parameters of the model are parameterized;

[0017] 2.2 Determine the geometric structure parameters that need to be optimized and their value ranges. Before determining the optimization parameters, perform parameter sensitivity analysis, sort the parameters from high to low according to sensitivity, and select the first n (n is a positive integer and n≤N, N is the total number of geometric structure parameters) parameters as optimization parameters to improve optimization efficiency;

[0018] 2.3 Based on the motor output performance (torque, efficiency, etc.) and NVH performance (the frequencies f recorded in step 1.4) i The electromagnetic force amplitude A′ at i ) is the optimization target, and an optimization algorithm (harmony search algorithm, genetic algorithm or particle swarm algorithm) is used to find the optimization. This optimization problem is described as:

[0019] min(-T, -η, A′ i )

[0020]

[0021] Where min(.) represents the minimum function, T is the torque, η is the efficiency, A′i is the frequency f i The electromagnetic force amplitude at (if there are multiple, all need to be included in the optimization target), G n represents the nth geometry optimization parameter, G nmin represents the minimum value of the nth geometric structure optimization parameter, G nmax represents the maximum value of the nth geometric structure optimization parameter;

[0022] 2.4 After the calculation is completed, compare the values ​​of each optimization target before and after optimization, and select the solution with the largest s value as the optimal solution according to the following formula:

[0023]

[0024] Among them, w1, w2 and w3 are weight factors of torque, efficiency and electromagnetic force amplitude at corresponding frequency respectively (usually, w1=0.3, w2=0.3, w3=0.4, which can also be set as needed. For example, if the main optimization goal is to reduce electromagnetic noise, w3 is appropriately increased, w1 and w2 are reduced, and w1+w2+w3=1), T0, η0 and A′0 are torque, efficiency and frequency f of the prototype before optimization respectively. i The electromagnetic force amplitude at ;

[0025] 2.5 Extract the geometric structure parameter values ​​corresponding to the optimal solution.

[0026] Step 3: Optimize circuit parameters using the electromagnetic analytical model of the single-phase induction motor.

[0027] The specific steps are as follows:

[0028] 3.1 According to the geometric structure parameter values ​​of the optimal solution in step 2, an electromagnetic analytical model of the single-phase induction motor is established;

[0029] 3.2 According to the influence of various circuit parameters of single-phase induction motor (such as winding turns, winding wire diameter and running capacitance, etc.) on motor output performance and the constraints (such as slot full rate limit and winding maximum current limit), determine the circuit parameters that need to be optimized and their value ranges;

[0030] 3.3 Taking motor torque and efficiency as optimization targets, the optimization algorithm is used to find the optimal solution. The optimization problem is described as:

[0031] max(T′, η′)

[0032]

[0033] Among them, max(.) represents the maximum value function, T′ is the torque, η′ is the efficiency, E n represents the nth circuit optimization parameter, E nminrepresents the minimum value of the nth circuit optimization parameter, E nmax represents the maximum value of the nth circuit optimization parameter;

[0034] 3.4 After the calculation is completed, compare the values ​​of each optimization objective before and after optimization. The solution with the largest s′ value can be selected as the optimal solution according to the following formula:

[0035]

[0036] Wherein, w′1 and w′2 are weight factors of torque and efficiency respectively (usually, w′1=0.5, w′2=0.5, which can also be set as needed. For example, if efficiency is the main optimization goal, w′2 is appropriately increased, w′1 is reduced, and w′1+w′2=1), T′0 and η′0 are the torque and efficiency of the optimal solution in step 2 respectively;

[0037] 3.5 Extract the circuit parameter values ​​corresponding to the optimal solution.

[0038] Furthermore, the performance of the optimized motor is verified through multi-physics field simulation of single-phase induction motor.

[0039] The specific steps are as follows:

[0040] 4.1 Establish a multi-physics simulation model of the single-phase induction motor: electromechanical, magnetic, solid and acoustic;

[0041] 4.2 Perform multi-physics field simulation on the prototype and optimized motors respectively to obtain simulation results of motor torque, efficiency and electromagnetic noise;

[0042] 4.3 Perform fast Fourier transform on the electromagnetic noise simulation results, and compare the motor torque, efficiency and electromagnetic noise simulation results before and after optimization;

[0043] 4.4 Determine whether the optimization scheme meets expectations, that is, determine whether the optimized motor can simultaneously achieve output performance improvement and NVH performance improvement (higher torque, higher efficiency and lower electromagnetic noise than the prototype). If so, output the geometric structure parameters and circuit parameters corresponding to this scheme. If not, return to step 2 and use the optimized motor parameters as the prototype parameters to repeat the optimization until expectations are met.

[0044] The optimized prototype described in the present invention refers to an optimized motor obtained by changing motor parameters based on the prototype using an optimization method.

[0045] The prototype described in the present invention refers to an original prototype that has only undergone initial design without any secondary optimization.

[0046] The use of the "multi-parameter multi-objective optimization design method for a single-phase induction motor" of the present invention can not only improve the torque and efficiency of the single-phase induction motor, thereby improving the output performance; on the other hand, it can also reduce the electromagnetic force of a specific frequency, weaken the electromagnetic noise from the source, and thus improve the NVH performance of the motor. The present invention has the advantages of being able to simultaneously consider the geometric structure parameters and circuit parameters of the single-phase induction motor, and simultaneously achieve the improvement of the output performance and NVH performance of the single-phase induction motor, and is applicable to various types of single-phase induction motors, with a wide range of applications, fast calculation speed, and high optimization design efficiency. BRIEF DESCRIPTION OF THE DRAWINGS

[0047] Figure 1 is a flow chart of the optimization method of the present invention;

[0048] Figure 2 It is the amplitude-frequency characteristic diagram of the prototype electromagnetic noise test results.

[0049] Figure 3 It is the electromagnetic finite element model diagram of single-phase induction motor.

[0050] Figure 4 It is a schematic diagram of the geometric structure parameters of a single-phase induction motor.

[0051] Figure 5 It is a schematic diagram of single-phase induction motor circuit parameters.

[0052] Figure 6 It is a diagram of the multi-physics simulation model of a single-phase induction motor.

[0053] Figure 7 It is a comparison chart of the mechanical characteristic curve simulation results of the prototype and the optimized prototype.

[0054] Figure 8 This is a comparison chart of the electromagnetic noise simulation results of the prototype and the optimized prototype. DETAILED DESCRIPTION

[0055] The embodiments of the present invention are described in detail below with reference to the accompanying drawings.

[0056] This embodiment takes a dual-value capacitor single-phase induction motor as an example to explain in detail the specific process of optimizing the motor using the method of the present invention.

[0057] like Figure 1 As shown, a multi-parameter and multi-objective optimization method for a single-phase induction motor comprises the following steps:

[0058] Step 1: Through the electromagnetic noise test of the single-phase induction motor prototype, obtain the electromagnetic noise data of the single-phase induction motor prototype, use the test data to analyze the electromagnetic noise amplitude-frequency characteristics of the single-phase induction motor prototype, and find the frequency component with larger amplitude. The specific steps are as follows:

[0059] 1.1 Measure the electromagnetic noise of the single-phase induction motor in accordance with the test method specified in GB / T 10069.1-2006 Rotating electrical machine noise determination method and limit value Part 1: Rotating electrical machine noise determination method;

[0060] 1.2 Perform fast Fourier transform on the test data to obtain the electromagnetic noise amplitude-frequency characteristic diagram of the single-phase induction motor, as shown in Figure 2 As shown;

[0061] 1.3 The rated speed of the motor is n = 910 r / min, the number of pole pairs is p = 3, the fundamental frequency is calculated to be f0 = np / 60 = 45.5 Hz, and the characteristic frequencies are extracted as f1 = 2f0, f2 = 4f0, f3 = 6f0, ..., f 10 =20f0 and its corresponding amplitudes A1, A2, A3, ..., A 10 ;

[0062] 1.4 Set the amplitude threshold A0=60, compare each amplitude with the threshold, and obtain the amplitude A7>A0 corresponding to the frequency f7=14f0.

[0063] Step 2: Optimize the geometric structure parameters using the electromagnetic finite element model of the single-phase induction motor. The specific steps are as follows:

[0064] 2.1 As Figure 3 As shown, an electromagnetic finite element model of a single-phase induction motor is established in an electromagnetic finite element simulation software according to the geometric dimensions, materials and electromagnetic parameters of the prototype, and the geometric structure parameters of the model are parameterized;

[0065] 2.2 As Figure 4 As shown, select the rotor outer diameter R r 、Rotor inner diameter R s , stator slot width S w , rotor slot bottom circle radius S b , rotor slot top circle radius S t , rotor slot length S l and rotor skew angle S a For the optimization parameters, the range of values ​​is 43≤R r ≤ 43.35、43.35≤R s ≤44, 0.5≤S b ≤1.5, 1.5≤S t ≤2.5、5≤S l ≤15, 0.5≤S w ≤1.5 and 0≤S a ≤30;

[0066] 2.3 Taking the motor torque T, efficiency η and electromagnetic force amplitude A′7 at frequency f7 as the optimization objectives, the genetic algorithm is used to find the optimal solution. This optimization problem can be described as:

[0067] min(-T, -η, A′7)

[0068]

[0069] 2.4 After the calculation is completed, compare the values ​​of each optimization target before and after optimization, and select the solution with the largest s value as the optimal solution according to the following formula:

[0070]

[0071] Among them, w1, w2 and w3 are weight factors of torque, efficiency and electromagnetic force amplitude at frequency 14f0 respectively (in this example, the main optimization goal is to reduce electromagnetic noise, so a larger w3, smaller w1 and w2 are selected, and w1+w2+w3=1), T0, η0 and A′0 are torque, efficiency and electromagnetic force amplitude at frequency 14f0 of the prototype before optimization respectively;

[0072] 2.5 Extract the geometric structure parameter values ​​corresponding to the optimal solution, as shown in Table 1.

[0073] Table 1

[0074] parameter <![CDATA[R r / mm]]> <![CDATA[S b / mm]]> <![CDATA[S l / mm]]> <![CDATA[S t / mm]]> <![CDATA[R s / mm]]> <![CDATA[S w / mm]]> <![CDATA[S a / °]]> value 43.238 0.885 6.048 2.139 43.798 1.085 4.567

[0075] Step 3: Optimize circuit parameters using the electromagnetic analytical model of the single-phase induction motor. The specific steps are as follows:

[0076] 3.1 According to the parameters of the optimized motor obtained in step 2, the electromagnetic analytical model of the single-phase induction motor is established by the synthetic current method, and the programming software is used for programming and calculation;

[0077] 3.2 As Figure 5 As shown, the number of turns N of the main winding coil with a span of 6 is selected. m1 , the number of turns of the main winding coil with a span of 4 is N m2 , the number of turns of the main winding coil with a span of 2 is N m3 , the number of turns of the secondary winding coil with a span of 6 is N a1 , the number of turns of the secondary winding coil with a span of 4 is N a2 , Main winding wire diameter d m , secondary winding wire diameter d a and running capacitor C are optimized parameters, with the value range of 5≤N m1 ≤50, 5≤N m2 ≤50, 5≤N m3 ≤50, 5≤N a1 ≤50, 5≤N a2≤50, 0.9≤d m ≤1.5、0.9≤d a ≤1.5 and 5≤C≤50, and it must be ensured that the slot fill rate of each slot is not greater than 75% and the main and auxiliary winding currents do not exceed the maximum current that their wire diameters can withstand;

[0078] 3.3 Taking the motor torque T' and efficiency η' as the optimization objectives, the genetic algorithm is used to find the optimal solution. This optimization problem can be described as:

[0079] max(T′, η′)

[0080]

[0081] 3.4 After the calculation is completed, compare the values ​​of each optimization objective before and after optimization, and select the solution with the largest s′ value as the optimal solution according to the following formula:

[0082]

[0083] Among them, w′1 and w′2 are weight factors of torque and efficiency respectively (in this example, torque is the main optimization target, so a larger w′2 and a smaller w′1 are selected, and w′1+w′2=1), T′0 and η′0 are the torque and efficiency of the optimal solution in step 2 respectively;

[0084] 3.5 Extract the circuit parameter values ​​corresponding to the optimal solution, as shown in Table 2.

[0085] Table 2

[0086] parameter <![CDATA[N m1 ]]> <![CDATA[N m2 ]]> <![CDATA[N m3 ]]> <![CDATA[N a1 ]]> <![CDATA[N a2 ]]> <![CDATA[d m / mm]]> <![CDATA[d a / mm]]> C / uF value 15 30 12 38 43 1.2 0.74 35

[0087] Step 4: Verify the performance of the optimized motor through multi-physics simulation of single-phase induction motor. The specific steps are as follows:

[0088] 4.1 As Figure 6 As shown, a multi-physics field simulation model of a single-phase induction motor is established in a multi-physics field simulation software;

[0089] 4.2 Perform multi-physics field simulation on the prototype and optimized motors respectively to obtain simulation results of motor torque, efficiency and electromagnetic noise;

[0090] 4.3 As Figure 7 and Figure 8As shown, by comparing the mechanical characteristic curves of the motor and the electromagnetic noise simulation results before and after optimization, it is calculated that the total sound pressure level of the electromagnetic noise at the rated speed of the optimized prototype after optimization by the existing method (the method currently commonly used to improve the motor performance by only optimizing the motor geometric structure parameters) is reduced by 9dB(A) compared with the prototype, but at the same time the torque is reduced by 1.91N·m and the efficiency is reduced by 2.82%; the total sound pressure level of the electromagnetic noise at the rated speed of the optimized prototype after optimization by the method of the present invention is reduced by 7.9dB(A) compared with the prototype, and the torque is increased by 2.21N·m and the efficiency is increased by 1.12%;

[0091] 4.4 From the above analysis, it can be judged that although the existing method improves the NVH performance, it also sacrifices part of the output performance (although the optimized prototype has smaller electromagnetic noise than the prototype, it also has low torque and low efficiency). The method of the present invention simultaneously achieves the improvement of output performance and NVH performance (the optimized prototype has higher torque, higher efficiency and lower electromagnetic noise than the prototype); output the geometric structure parameters and circuit parameters corresponding to this scheme.

[0092] So far, the present invention has been described in detail. The content is only for the convenience of understanding the embodiments of the present invention, and is not exhaustive, nor is it used to limit the present invention. Any technician in the technical field to which the present invention belongs can make any modifications and changes in the form and details of the implementation without departing from the spirit and scope disclosed by the present invention. Such description is to better illustrate the principles and practical applications of the present invention.

Claims

1. A multi-parameter and multi-objective optimization design method for a single-phase induction motor, characterized in that The following steps are involved: Step 1: Obtain electromagnetic noise data of the single-phase induction motor prototype through an electromagnetic noise test of the single-phase induction motor prototype, analyze the amplitude-frequency characteristics of the electromagnetic noise of the single-phase induction motor prototype using the test data, and find out the frequency component whose amplitude is greater than the set threshold; The specific steps are as follows: 1.1 Carry out electromagnetic noise test on single-phase induction motor prototype in accordance with relevant motor noise test standards; 1.2 Perform fast Fourier transform on the test data to obtain the electromagnetic noise amplitude-frequency characteristic diagram of the single-phase induction motor prototype; 1.3 Extract each characteristic frequency and its corresponding amplitude, the characteristic frequency is recorded as f i , the corresponding amplitude is recorded as A i , where f i =(2i-1)f0, i=1,2,3,…,10, f0=np / 60, n is the speed, p is the number of pole pairs; 1.4 Set an amplitude threshold A0 and set each characteristic frequency f i The corresponding amplitude A i Compare with threshold A0 one by one. If A i >A0, then record this A i The corresponding f i , if there is no A i >A0, then reduce the A0 value appropriately, repeat this step, and record all A values ​​greater than A0. i The corresponding f i ; Step 2: Optimize the geometric structure parameters using the electromagnetic finite element model of the single-phase induction motor; The specific steps are as follows: 2.1 According to the prototype parameters, the electromagnetic finite element model of the single-phase induction motor is established, and the geometric structure parameters of the model are parameterized; 2.2 Determine the geometric structure parameters that need to be optimized and their value ranges; 2.3 Taking the motor output performance and NVH performance as the optimization objectives, the optimization algorithm is used to find the optimal solution. The optimization problem is described as: min(-T,-η,A′ i ) Where min(.) represents the minimum function, T is the torque, η is the efficiency, A′ i is the frequency fi i The electromagnetic force amplitude at G n represents the nth geometry optimization parameter, G nmin represents the minimum value of the nth geometric structure optimization parameter, G nmax represents the maximum value of the nth geometric structure optimization parameter; 2.4 After the calculation is completed, compare the values ​​of each optimization target before and after optimization, and select the solution with the largest s value as the optimal solution according to the following formula: Among them, w1, w2 and w3 are the weight factors of torque, efficiency and electromagnetic force amplitude at the corresponding frequency, respectively, T0, η0 and A′0 are the torque, efficiency and frequency f of the prototype before optimization, respectively. i The electromagnetic force amplitude at ; 2.5 Extract the geometric structure parameter values ​​corresponding to the optimal solution; Step 3: Optimize circuit parameters using electromagnetic analytical model of single-phase induction motor; The specific steps are as follows: 3.1 According to the geometric structure parameter values ​​of the optimal solution selected in step 2, an electromagnetic analytical model of the single-phase induction motor is established; 3.2 According to the influence of each circuit parameter of the single-phase induction motor on the motor output performance and the constraints, determine the circuit parameters that need to be optimized and their value range; 3.3 Taking motor torque and efficiency as optimization targets, the optimization algorithm is used to find the optimal solution. The optimization problem is described as: max(T′,η′) Among them, max(.) represents the maximum value function, T′ is the torque, η′ is the efficiency, E n represents the nth circuit optimization parameter, E nmin represents the minimum value of the hth circuit optimization parameter, E nmax represents the maximum value of the nth circuit optimization parameter; 3.4 After the calculation is completed, compare the values ​​of each optimization objective before and after optimization. The solution with the largest s′ value can be selected as the optimal solution according to the following formula: Among them, w′1 and w′2 are the weight factors of torque and efficiency, respectively, T′0 and η′0 are the torque and efficiency of the optimal solution in step 2, respectively; 3.5 Extract the circuit parameter values ​​corresponding to the optimal solution.

2. The multi-parameter multi-objective optimization design method for a single-phase induction motor according to claim 1 is characterized in that The performance of the optimized motor is verified through a single-phase induction motor multiphysics simulation; the specific steps include: 4.1 Establish a multi-physics simulation model of the single-phase induction motor: electromechanical, magnetic, solid and acoustic; 4.2 Perform multi-physics field simulation on the prototype and optimized motors respectively to obtain simulation results of motor torque, efficiency and electromagnetic noise; 4.3 Perform fast Fourier transform on the electromagnetic noise simulation results, and compare the motor torque, efficiency and electromagnetic noise simulation results before and after optimization; 4.4 Determine whether the optimization scheme meets expectations, that is, determine whether the optimized motor can simultaneously achieve output performance improvement and NVH performance improvement. If so, output the geometric structure parameters and circuit parameters corresponding to this scheme. If not, return to step 2 and use the optimized motor parameters as the prototype parameters to repeat the optimization until expectations are met.

3. The multi-parameter multi-objective optimization design method for a single-phase induction motor according to claim 1 or 2, characterized in that The motor noise test standard is GB / T 10069.1-2006 Rotating motor noise measurement method and limit value Part 1: Rotating motor noise measurement method.

4. The multi-parameter and multi-objective optimization design method for a single-phase induction motor according to claim 1 or 2, characterized in that In step 2, 2.2: perform parameter sensitivity analysis before determining the optimization parameters, sort the parameters from high to low according to sensitivity, and select the first n parameters as optimization parameters to improve the optimization efficiency, where n is a positive integer and n≤N, and N is the total number of geometric structure parameters.

5. The multi-parameter and multi-objective optimization design method for a single-phase induction motor according to claim 1 or 2, characterized in that The motor output performance is torque and efficiency, and the NVH performance is the frequency f recorded in step 1.

4. i The electromagnetic force amplitude A′ at i .

6. The multi-parameter multi-objective optimization design method for a single-phase induction motor according to claim 5 is characterized in that The optimization algorithm is one of a harmony search algorithm, a genetic algorithm or a particle swarm algorithm.

7. The multi-parameter and multi-objective optimization design method for a single-phase induction motor according to claim 1 or 2, characterized in that In step 2.4, w1+w2+w3=1.

8. The multi-parameter and multi-objective optimization design method for a single-phase induction motor according to claim 7 is characterized in that w1=0.3, w2=0.3, w3=0.

4.

9. The multi-parameter and multi-objective optimization design method for a single-phase induction motor according to claim 1 or 2, characterized in that In step 3.4, w′1+w′2=1.

10. The multi-parameter and multi-objective optimization design method for a single-phase induction motor according to claim 9, characterized in that w′1=0.5, w′2=0.5.

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