JP3281854B2 - Motor analyzer - Google Patents

Description

DETAILED DESCRIPTION OF THE INVENTION

[0001]

BACKGROUND OF THE INVENTION 1. Field of the Invention The present invention relates to a motor analyzing apparatus for analyzing a torque characteristic of a relatively small motor used in AV equipment and the like.

[0002]

2. Description of the Related Art Conventionally, as this kind of motor analyzer,
A device has been proposed which performs a magnetic field analysis using a magnetic moment method, and calculates and displays motor characteristics based on a magnetic flux density distribution obtained thereby (Japanese Patent Laid-Open No. 8-101261).
issue). In the motor analyzer, when selecting the structure of the motor (the number of salient poles of the core and the number of magnetic poles of the magnet) and inputting the dimensions of each part of the motor (dimensions of the case, magnet, core, etc.), Mesh is automatically created. Next, a calculation according to a known magnetic field analysis program is performed based on the basic mesh, a magnetic flux density distribution is derived, and a motor characteristic is calculated based on the magnetic flux density distribution and displayed.

[0003]

Incidentally, the conventional motor analyzing apparatus does not only have a detailed input function for the winding specification, but also has a winding height, a wire length, etc. of the winding in the motor to be analyzed. Since there is no function of displaying the winding state of the winding, the user (motor designer) cannot determine whether the winding state is realistic, and the winding state becomes an unrealistic winding state. In some cases, motor analysis was performed based on line specifications. In particular, since the user cannot easily understand the extent to which the windings are to be provided in the slot of the motor being designed, the windings or other windings are not considered. It was not possible to check for interference with other members, and motor analysis was performed on the assumption of an unrealistic winding range. Such an analysis is meaningless because the winding state and the winding range are impractical.

An object of the present invention is to provide a function of outputting a winding state and a winding range in a motor to be analyzed.
An object of the present invention is to provide a motor analysis device capable of executing a meaningful analysis based on realistic input data.

[0005]

A motor analyzing apparatus according to the present invention comprises a cylindrical housing, a core housed in a central portion of the housing, a winding wound around the core, and a core facing the core. For a motor provided with a magnet disposed in a housing, torque characteristics of the motor, for example, cogging torque distribution characteristics, generated torque distribution characteristics, generated torque-
It analyzes the rotation speed characteristics and the like. A motor analysis device according to the present invention, a data input device, and performs a magnetic field analysis based on the input data, calculates a torque generated by the analyzed magnetic field, an arithmetic processing device to derive the torque characteristics of the motor, An output device for outputting a result of the arithmetic processing.

[0006] In the arithmetic processing unit, prior to the magnetic field analysis,
Based on input data on core shape and winding specifications,
Winding simulation means for calculating a winding state and sending the result to an output device, and an image representing a winding range on a core on which winding is to be applied based on the calculation result by the winding simulation means. And automatic image means for creating the image data and sending it to the output device.

In a specific configuration, the input data on the winding specification includes the diameter, the number of turns, and the resistivity of the winding, and the calculation result of the winding state by the winding simulation means includes the maximum winding of the winding. Includes number of turns, winding height, wire length, and resistance. After outputting the image of the winding state calculated by the winding simulation means and / or the image of the winding range created by the automatic operation image means, the arithmetic processing unit shifts to magnetic field analysis in response to an external command. Has a function.

[0008] In the motor analysis device of the present invention,
When the data input device is operated to input data on the core shape, the winding specification such as the diameter of the winding, the number of windings, and the resistance, the winding simulation means of the arithmetic processing device is activated, and the core shape and Based on the input data on the winding specification, the winding state such as the maximum number of windings, the wire length, and the resistance is calculated, and the result is sent to an output device. Thereafter, the automatic operation means is activated, and based on the calculation result by the winding simulation means, creates an image representing the winding range on the core where the winding is to be applied, and sends it to the output device.

Therefore, the user (motor designer) can recognize the winding state of the motor to be analyzed and determine whether or not the winding state is realistic. The input data can be modified for the winding specification that results in a proper winding state. In addition, the user can visually grasp the extent to which the winding is to be applied in the slot of the motor to be designed based on the output of the winding range, and the windings can be mutually connected. ,
Alternatively, the input data can be modified for the winding specification that causes interference between the winding and other members.

Thereafter, the arithmetic processing unit executes a static magnetic field analysis by the finite element method or a torque calculation by the Maxwell stress method in response to an external command based on a user operation, and outputs the result as a torque characteristic graph or the like to the output device. Supply to As a result, the torque characteristics of the motor are displayed on the output device. If the displayed torque characteristic of the motor is not satisfactory, the motor designer changes the input data, obtains the torque characteristic again, and repeats this operation until a satisfactory result is obtained.

[0011]

According to the motor analyzing apparatus of the present invention,
Assuming a realistic winding state and a winding range, a meaningful motor analysis can always be executed.

[0012]

Embodiments of the present invention will be specifically described below with reference to the drawings. The motor analysis device according to the present invention comprises a computer main body (1) as shown in FIG.
A computer system comprising a display (2) and a mouse (3);
The hard disk drive incorporated in (1) stores a computer program for executing data input, arithmetic processing for analysis, and output of analysis results.

The motors to be analyzed are shown in FIGS.
A small DC motor as shown in FIG. 1 and a shaft housing at the center in a cylindrical housing (41) having one end largely opened.
A core (43) having a fixed (44) and a plurality of slots with windings (not shown), and one or more cores (43) disposed on the inner peripheral surface of the housing (41) surrounding the core (43). The magnet (45), a pair of brushes (46) (47), a varistor (48), a commutator (49), etc. for supplying current to the windings of the core (43) are provided. In the opening, the brush substrate (42)
Is fixed, and the shaft (44) is supported on the housing (41) by a bearing (50). Although the illustrated example is a motor with a brush whose core rotates, a motor without a brush whose magnet rotates can also be analyzed.

[0014] SUMMARY FIGS. 4 and 5 of the motor analysis represents a series of procedures for motor analysis the computer main body (1) is executed, first,
The outline of the motor analysis of the present invention will be described with reference to these drawings.

First, in step S1 of FIG. 4, the shape parameters, the magnetization waveform parameters, and the material characteristics are fetched. Here, the screen of the display (2) includes:
A window shown in FIG. 17 is displayed on the core side, and the input of the diameter of the shaft, the material file name, the dimensions of each part and the material file of the core, the number of slots and the dimensions of each part is prompted. On the magnet side, a window shown in FIG. 18 is displayed, and the number of poles of the magnet (magnet), the magnetization angle, two parameters for defining the magnetization waveform (trapezoidal full attachment angle α and sin index β), The user is prompted to enter the dimensions of each part, the material file name, and the dimensions of each part of the yoke (housing) and the material file name. FIG. 8A shows the names of the dimensions of each part of the core having no auxiliary pole, and FIG. 8B shows the names of the dimensions of each part of the core having the auxiliary pole. FIG. 9 (a)
10B shows the names of the dimensions of the oval magnet and the yoke, and FIGS. 10A and 10B show the names of the dimensions of the circular magnet and the yoke.

Further, regarding the material properties, the B-
The window shown in FIG. 20 is displayed for inputting the H characteristic, and FIGS. 21A and 21B are used for inputting the core loss characteristics of the core material.
Is displayed, and the window shown in FIG. 22 is displayed for inputting the BH characteristics of the magnet material.
These material properties are input in advance for each material file prior to analysis.

After the data input to each of the above windows is fetched in step S1 of FIG. 4, winding specifications are fetched in step S2. Here, a window shown in FIG. 19 is displayed on the screen of the display (2), and includes a voltage, a wiring method, a winding space factor in the case of aligned winding, a winding space factor in the case of rattle winding, and an outer space. You will be prompted for the diameter, resistivity, and number of turns. Here, regarding the “maximum number of windings”, “winding height”, “wire length” and “resistance” on the screen, the winding simulation of step S3 shown in FIG. When executed, it is automatically calculated and displayed. Also, an image representing the winding range B in one slot of the core is automatically created and displayed on the screen as shown in FIG.

Then, according to the results of the winding simulation and the self-diagram, it is determined in step S4 whether or not the winding simulation and the self-diagram should be re-executed. If yes, the process returns to step S2 and again. ,
Import the core shape and winding specifications, and repeat the winding simulation. Thereafter, when it is determined NO in step S4, the process proceeds to step S5, and the number of mesh divisions for static magnetic field analysis by the finite element method is fetched. Here, FIG. 24 shows the screen of the display (2).
Is displayed, and the user is prompted to enter parameters for defining the convergence condition of the magnetic field analysis calculation and the number of mesh divisions. The number of mesh divisions to be input here is the number of divisions per revolution of the gap G formed between the core (43) and the magnet (45) shown in FIG. Basically, the number of mesh divisions of another area is determined. Further, a window shown in FIG. 25 is displayed on the screen, and the dimension, nonlinearity, and presence / absence of current of the finite element data to be created are set. For example, when the cogging torque characteristic is obtained, “no current” is selected.

When the number of mesh divisions is fetched, and the convergence conditions and the like of the magnetic field analysis calculation are fetched in step S6 of FIG. 4, the process then proceeds to step S7 to create a mesh. FIG. 26 illustrates a mesh creation example. Next, in step S8 in FIG. 5, a static magnetic field analysis by the finite element method is performed. In the static magnetic field analysis, a general basic formula shown in the following Equation 1 (see “Design and Application of AC / DC Magnet by Finite Element Method”, page 30) is used.

[0020]

(Equation 1)

Subsequently, in step S9, torque calculation is performed by the Maxwell stress method. In the torque calculation, a general basic formula shown in the following equation 2 (see “Design and Application of AC / DC Electromagnet by Finite Element Method”, page 56) is used.

[0022]

(Equation 2)

Thereafter, in step S10, various torque characteristic graphs, magnetic field distribution maps, and the like are created based on the results of the static magnetic field analysis and the torque calculation, and displayed on the screen. FIG. 29-
FIG. 31 shows an output example of the analysis result, and FIG.
The horizontal axis represents the rotation angle (Angle) and the vertical axis represents the torque (Torque), and represents the torque distribution characteristics of the motor.
In FIG. 30, the horizontal axis shows the iron loss (Steel Loss) and the torque (Tor).
que), the vertical axis represents the current (Current) and the rotation speed (Revolution), and represents the rotation speed-torque characteristic T, the rotation speed-iron loss characteristic S, and the torque-current characteristic I of the motor. FIG. 31 shows a magnetic flux distribution vector diagram of the motor.

It is determined in step S11 in FIG. 5 whether these characteristics are satisfactory. If not, the process returns to step S1 in FIG. 4 to change the input data. Repeat the same analysis. Thus, when a satisfactory result is obtained, the series of procedures is terminated.

Next, the characteristic part of the motor analysis will be described in detail. Input of Magnetization Waveform As described above, in the motor analysis according to the present invention, the magnetization waveform for the magnet is converted into a sine wave, a trapezoidal wave, a square wave, by the values of two parameters (trapezoidal full angle of incidence α and sin index β). It can be selectively set to either a triangular wave or a composite wave obtained by multiplying a sine wave with another waveform. That is, assuming that the angle representing the circumferential position on the magnet is θ and the magnetization angle per pole of the magnet is θ ₀ , the function f (θ) of the following equation 3 is defined as a magnetization waveform function for one pole of the magnet. Have been.

[0026]

[Equation 3]

In the above equation (3), g (θ) is a function for generating a square wave, a triangular wave or a trapezoidal wave by changing the parameter of the full landing angle α within the range of ₀ to θ ₀ . When α = 0, it becomes a triangular wave, when α = θ ₀ , it becomes a square wave, and when 0 <α <θ ₀ , it becomes a trapezoidal wave that changes the length of the upper base of the trapezoid according to the value of α. On the other hand, the function to be represented by the power of β of the sine function becomes 1 when the sin index β as a parameter is 0, and has various shapes by setting the sin index β to an arbitrary value larger than 0. This function generates a sine waveform. Therefore, for example, when the sin index β is set to 0, the magnetization waveform function f
(θ) = g (θ), and a trapezoidal wave is generated. here,
When α is set to θ ₀ , the magnetization waveform function f (θ) becomes a square wave, and when the parameter α is set to 0, the magnetization waveform function f (θ) becomes a triangular wave. On the other hand, when the sin index β is a value exceeding 0, the magnetization waveform function becomes, as shown in FIG.
It becomes a composite wave generated by the product of the sine waveform and the trapezoidal wave.

For example, if the magnetizing device used for manufacturing the magnet has a characteristic or setting for giving a sine wave magnetizing waveform, α = θ ₀ is set, and the magnetizing device changes the trapezoidal wave magnetizing waveform. 0 <α when there is a given characteristic or setting
<Θ ₀ , β = 0. When the magnetizing device has a characteristic or setting for giving a magnetized waveform obtained by combining a sine wave and a trapezoidal wave, it is sufficient to set 0 <α <θ ₀ and 0 <β.
Thus, according to the above-mentioned magnetized waveform function, by appropriately changing and inputting the two parameters α and β, a sine wave, trapezoidal wave, square wave, or triangular wave, or a sine wave and another waveform Can be selectively set as a magnetized waveform.

FIGS. 12A and 12B show the magnetization intensity of the magnet required for the static magnetic field analysis by the finite element method based on the magnetization waveform function defined by the input of the two parameters α and β as described above. It shows a method of giving a distribution, where a magnet with two poles is divided in the circumferential direction and the radial direction,
A magnetization intensity is assigned to each divided region. For example,
When a square wave is defined as a magnetized waveform per pole as shown in FIG. 3A, 1 is assigned as a magnetization intensity to all divided regions of the magnet. When a sine wave is defined as a magnetized waveform per pole as shown in FIG. 3B, the sine wave is quantized for each unit angle in accordance with the number of divisions of the magnet, and each divided region of the magnet is divided. Assigned to. In this way, the magnetization intensity given to each divided region of the magnet is used as input data for the static magnetic field analysis by the finite element method.

Therefore, according to the above-described input method of the magnetized waveform, the sine wave, trapezoidal wave, square wave, triangular wave,
Alternatively, a composite wave generated by a product of a sine wave and any other waveform can be easily selected and set as a magnetized waveform, and thereby, the actual magnetized waveform given in the magnetizing step of the magnet Can be faithfully reproduced, and the torque characteristics can be obtained with high accuracy. If the torque characteristics obtained in this way are not satisfactory, the magnetizing waveform is changed and static magnetic field analysis and torque calculation are executed until a satisfactory result is obtained. As a result, the magnetization waveform of the magnet can be optimized, and the feedback to the magnet manufacturing process can be made.

[0031] As winding simulation and automatic drawing above, prior to the static magnetic field analysis by the finite element method,
In step S3 of FIG. 4, based on input data (connection method, winding diameter, space factor, resistivity, and number of turns) on the core shape and the winding specification, the "maximum number of turns", "turn height" ,
“Line length” and “resistance” are automatically calculated, and the calculation results are displayed on the screen as shown in FIG. 19 (winding simulation). Also, an image representing the winding range B in one slot of the core is automatically created and displayed on the screen as shown in FIG. 23 (automatic operation diagram).

FIG. 6 shows a specific procedure of the winding simulation and the automatic operation diagram. First, step S21
, The geometrical windable area A for one slot is calculated based on the input data on the core shape (see FIG. 23). Next, in step S22, after the winding diameter (wire diameter) and the winding space factor are taken in, in step S22.
At 23, the maximum winding number Tmax is calculated by the following equation 4 and displayed.

[0033]

(Equation 4)

Further, after the number of windings and the resistivity are captured in step S24, in step S25, the total length of the windings,
The resistance value and winding height are calculated and displayed,
The area S of the winding range is calculated. Here, the winding resistance value is obtained by the product of the winding resistivity and the total length. The area S of the winding range is calculated by the following equation (5).

[0035]

(Equation 5)

Thereafter, in step S26, it is determined whether the displayed total length, resistance value, and winding height of the winding are appropriate. If an appropriate result is obtained, the process proceeds to step S27, where the area S of the winding range is determined.
23, the winding range B in the winding possible area A as shown in FIG.
Is displayed, and at step S28 in FIG.
Is determined to be appropriate. When it is determined in step S26 or step S28 that it is not appropriate, the process proceeds to step S29, and after changing the core shape and the winding specification according to the input data of the user (motor designer), Returning to step S4 in FIG. 4, the winding simulation and the automatic operation diagram in step S3 are repeated based on the changed data. When it is determined NO in step S26 or step S28 in FIG. 6, a procedure of selecting and executing one of step S22, step S24, or step S29 according to the user input data is employed. It is also possible.

According to the above-described winding simulation and self-operation diagram, for example, when the winding height is excessively large, there is a possibility that the winding portions protruding from both end surfaces in the axial direction of the core may interfere with other members. In this case, measures such as reducing the number of turns can be taken. When the resistance value becomes excessively large, measures such as increasing the wire diameter can be taken. or,
In the display of FIG. 23, if the winding range B is excessively large, there is a possibility that the windings will interfere with the adjacent windings. In this case, measures such as adopting an aligned winding having the highest space factor as possible are taken. It is possible.

As described above, before the static magnetic field analysis by the finite element method is executed, by executing the winding simulation and the automatic operation image, it is possible to set appropriate winding specifications. The torque calculation can be made effective. Also, since the winding range can be quantitatively grasped by the image, the user (motor designer)
Can easily determine whether or not the input winding specifications are realistic for the manufacture of the motor. Further, the user can quickly feed back the result of the simulation to the change of the core size and the winding specification, and the calculation result of the total winding length can be used for grasping the winding usage and the winding cost. Furthermore, the calculation result of the winding range can be reflected in the subsequent static magnetic field analysis, so that a more accurate analysis result can be obtained.

[0039] In the automatic creation of the mesh in step S7 in meshing Figure 4,
On the basis of the number of mesh divisions in the circumferential direction of the gap portion input in step S5, mesh division of other areas is advanced, and finally, meshes as shown in FIGS. 26 to 28 are automatically created. As shown in FIG. 13, the core region is divided into a plurality of small sections C1, C2, C
2 ', C3, C4, and C5, and the winding area is previously divided into a plurality of small sections W1, W1', W2, and W3. Further, the outer air layer area outside the housing area K1 is divided in advance into eight small sections A1. For each of these small areas, mesh division is advanced as described later.

The features of the mesh division system according to the present invention are as follows.
As described above, the number of divisions in the circumferential direction of the gap (basic division number)
The only difference is that only the input data is used as input data, and the number of mesh divisions in each region of the motor is weighted based on the basic number of divisions to perform mesh division. When weighting the mesh division number, a large weight is given to a region important in the static magnetic field analysis of the motor, and a small weight is given to a region having relatively low importance. That is, in the motor, the gap between the core and the magnet is most involved in the torque calculation, so that this area needs to be finely divided into meshes. Next, since the housing is easily affected by magnetic saturation and greatly affects the analysis accuracy, it is necessary to divide this region into small portions next to the gap portion. On the other hand, the outer air layer outside the housing does not significantly affect the analysis accuracy, and a relatively coarse mesh is sufficient. Therefore, the largest weight is given to the mesh division of the gap area G, then the housing area K1, and then the magnet area M1.
Are weighted heavily. No weighting is applied to the core region and the winding space region. On the other hand, the mesh division of the outer air layer region A1 is given a negative weight,
The number of mesh divisions is reduced as compared with the core region and the winding space region.

FIG. 7 shows a specific procedure of mesh creation. First, in step S31, the circumference of a circumferential line (integral path) passing through the center of the gap area is equally divided by the basic division number. Obtained circumferential basic mesh side length h
And the radial mesh side length r (see FIG. 28) obtained by dividing the width of the gap into six equal parts, and then calculating in step S
At 32, mesh division of each small area of the core is performed. At this time, the radial length of the small section C1 is R.
When c1 (see FIG. 27) is set, the division in the radial direction is performed with the division number N where Rc1 / h is a value close to the integer N. The circumferential direction is divided by the circumferential basic mesh side length h. Small area C2,
For C2 'and C3, division in the radial direction and the circumferential direction is performed based on the same concept. Regarding the small sections C4 and C5, mesh division is performed after a small section W3 in a winding area described later.

Next, in step S33, mesh division is performed for each small section of the winding space area. Sub-areas W1 and W
1 'is divided so as to be connected to the meshes of the small sections C2, C2' and C3 of the core region. Further, the small areas W2 and W3 are also divided so as to be connected to adjacent meshes.

Subsequently, in step S34, mesh division of each small section K1 in the housing area is performed. In the radial direction, the gap is divided by a length (2r) that is twice the length r of the mesh side in the radial direction of the gap region G. In the circumferential direction, division is performed by the basic division number. As a result, the second largest weight is given to the gap portion.

Then, in step S35, mesh division of the magnet area M1 is performed. For the radial direction,
Weighting is performed according to the rules shown in FIG. That is, the region near the gap and the region near the housing, which are important in the static magnetic field analysis, are fine, and the intermediate region is roughly divided.
In the circumferential direction, division is performed by the basic division number.

Thereafter, in step S36, mesh division of the small section A1 in the external air space region is performed. The outer airspace region defines a mesh critical area with a square having a side length twice the motor diameter. In the mesh division, in order to simplify the arithmetic processing as much as possible, FIG.
As shown in FIG. 6, each small area A1 is divided into an inner area A1 'and an outer area A1 ".
1 ′ to the outer boundary line V of the outer region A1 ″ from the inner boundary line I
In the process of advancing the mesh division toward, the number of divisions is reduced according to the rule shown in FIG. 15 and negative weighting is applied. First, the inner boundary line I of the inner area A1 'is divided by a unit circumferential length corresponding to the basic division number, and the division number is set as a division number before reduction.
As shown in FIG. 15, when the number of divisions before reduction is (multiple of 3), that is, 3N, the number is reduced to N on the outer boundary line J,
When the number of divisions before reduction is (multiple of 3 + 1), that is, (3N + 1), the number of divisions is reduced to (N + 1) on the outer boundary line J, and the number of divisions before reduction is (multiple of 3 + 2), that is, If the number is (3N + 2), the number is reduced to (N + 1) on the outer boundary line J. Similarly, regarding the mesh division of the outer region A1 ″, the number of divisions on the outer boundary line V is reduced by using the division number of the inner boundary line U as the division number before reduction.

For example, in the example shown in FIG. 16, the number of divisions at the inner boundary line I of the inner area A1 'is two, that is, "7" and "8". A
For 1 ', the number of divisions is reduced to "3" at the outer boundary J from the relationship of 7 = 3 + 3 + 1. For the inner region A1' having the number of divisions before reduction of "8", the relationship of 8 = 3 + 3 + 2 is obtained. For the outer boundary J, the number of divisions is reduced to “3”.
In the outer region A1 ", since the inner boundary line U is divided into three, the number of divisions is reduced to" 1 "in the outer boundary line V. Due to the reduction in the number of divisions described above, in the outer air layer region, a negative value is obtained. Is weighted.

Finally, in step S37 in FIG. 7, mesh division is performed on the gap region including the integration path. In the mesh division of the gap region, FIG.
As shown in (1), the core side and the magnet side are each divided into three in the radial direction with an integration path passing through the center of the gap region interposed therebetween. Therefore, the mesh side length r in the radial direction has a value that is 1/6 of the width of the gap. The circumferential basic mesh side length h is a value obtained by dividing the total length of the integration path by the number of basic divisions. Generally, in a small DC motor, the width of the gap is 0.3 m.
Since the distance is about m, the gap region is extremely finely divided into meshes in the radial direction, and the largest weight is given.

According to the automatic mesh creation described above, by inputting an appropriate value according to the purpose of the analysis as the basic division number, each component of the motor can be divided into meshes for static magnetic field analysis by the finite element method. The elements are automatically weighted according to their importance, and each area is divided into appropriate fines. Therefore, a highly accurate analysis result can be obtained by a relatively short-time arithmetic processing. Note that an appropriate default value is set in advance as the number of basic divisions to be input at the time of automatic mesh generation, and automatic mesh generation can be performed without the user inputting the basic division number. For example, if you want to obtain high accuracy even if it takes time, you can enter a basic division number larger than the default value,
Conversely, if it is desired to obtain an analysis result in a short time even if the accuracy is somewhat low, it is sufficient to input a basic division number smaller than the default value.

FIG. 32 is a graph showing the relationship (calculated value) between the basic division number, the analysis accuracy, and the analysis time for a 2-pole, 3-slot motor. The analysis time was 48
This is expressed as a ratio with the analysis time (about 2 hours) at the time of division into 100. The analysis accuracy is calculated on the assumption that the torque calculation value at the time of 480 division is a true value. As is clear from this graph, the error is within about 10% when the basic division number is in the range of 24 to 60, and the basic division number is 2
A calculated value extremely close to the true value is obtained at about 00. Thus, according to the mesh division method according to the present invention, it can be seen that high analysis accuracy can be obtained in a short analysis time.

[Brief description of the drawings]

FIG. 1 is a front view showing the appearance of a computer system constituting a motor analysis device according to the present invention.

FIG. 2 is a perspective view of a motor to be analyzed according to the present invention.

FIG. 3 is an exploded perspective view of the motor.

FIG. 4 is a flowchart illustrating a first half of a motor analysis processing procedure according to the present invention.

FIG. 5 is a flowchart showing a latter half of the above.

FIG. 6 is a flowchart illustrating a procedure of a winding simulation and an automatic operation diagram.

FIG. 7 is a flowchart showing a procedure of automatic mesh division.

FIG. 8 is a diagram showing names of dimensions of each part of a core.

FIG. 9 is a diagram showing names of dimensions of each part of an oval magnet and a yoke.

FIG. 10 is a diagram showing names of dimensions of each part of a circular magnet and a yoke.

FIG. 11 is a diagram illustrating generation of a magnetization waveform using a magnetization waveform function.

FIG. 12 is a diagram illustrating a process for inputting the magnetized waveforms of the square wave and the sine wave to the static magnetic field analysis by the finite element method.

FIG. 13 is a diagram illustrating a plurality of small sections preset in each section area of the motor.

FIG. 14 is a diagram illustrating a rule of mesh division in a magnet area.

FIG. 15 is a diagram illustrating a method of reducing the number of mesh divisions in an external air layer region.

FIG. 16 is a diagram illustrating an example of mesh division in an external air space region.

FIG. 17 is a diagram showing a data input screen for a core.

FIG. 18 is a diagram showing a data input screen for a magnet.

FIG. 19 is a diagram showing a data input screen for windings.

FIG. 20 is a diagram showing a data input screen for material properties.

FIG. 21 is a diagram showing a data input screen for iron loss characteristics of a core material.

FIG. 22 is a diagram illustrating a data input screen for BH characteristics of a magnet material.

FIG. 23 is a diagram illustrating an example of an automatic operation diagram of a winding range obtained from the result of the winding simulation.

FIG. 24 is a diagram showing a data input screen for a convergence condition of magnetic field analysis calculation and a basic mesh division number.

FIG. 25 shows dimensions and nonlinearities of finite element data to be created,
It is a figure showing the setting screen of the presence or absence of an electric current.

FIG. 26 is a diagram illustrating an example of mesh division.

FIG. 27 is a diagram showing a part of FIG. 26 in an enlarged manner.

FIG. 28 is a diagram showing a part of FIG. 27 in an enlarged manner.

FIG. 29 is a graph showing torque distribution characteristics of a motor.

FIG. 30 is a graph showing rotation speed-torque characteristics, rotation speed-iron loss characteristics, and torque-current characteristics of a motor.

FIG. 31 is a magnetic flux distribution vector diagram of a motor.

FIG. 32 is a graph showing a relationship between the number of basic divisions, analysis accuracy, and analysis time.

[Explanation of symbols]

 (1) Computer body (2) Display (3) Mouse (4) Motor (41) Housing (43) Core (44) Shaft (45) Magnet

────────────────────────────────────────────────── ─── Continuation of the front page (56) References JP-A-7-151840 (JP, A) JP-A-8-101261 (JP, A) (58) Fields investigated (Int. Cl. ⁷ , DB name) H02P 7/00 H02K 1/00

Claims (1)

(57) [Claims] 1. A motor having a cylindrical housing, a core housed in a central portion of the housing, a winding wound around the core, and a magnet disposed in the housing so as to face the core. An analysis device, comprising: a data input device;
Comprising a magnetic field analysis based on the input data, calculating a torque generated by the analyzed magnetic field, and an arithmetic processing device for deriving a torque characteristic of the motor, and an output device for outputting an arithmetic processing result, Prior to the magnetic field analysis, the arithmetic processing unit includes a winding specification including a winding diameter and the number of windings.
Based on the input data for the modal and core shape, winding
A winding simulation means for calculating the winding state including the maximum number of windings and the winding height of the winding and transmitting the result to an output device; Automatic image means for creating an image representing the line range and sending it to the output device ;
The winding state calculated by the simulation means and / or
Or the image of the winding range created by the
A motor analysis device, which shifts to magnetic field analysis in response to an external command after output .