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Method and model for quickly calculating iron loss of variable frequency motor under harmonic conditions

A variable frequency motor, fast computing technology, applied in computing, electrical digital data processing, special data processing applications, etc., can solve the problems of difficult to obtain and control the magnetic density, difficult to control the iron loss of the motor, etc.

Active Publication Date: 2019-10-15
XI AN JIAOTONG UNIV
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

The iron loss model based on the finite element method generally expresses the iron loss as a function of flux density and frequency. However, the flux density is difficult to obtain and control in the actual motor system; in addition, the calculation of the iron loss model based on the finite element method The amount is usually tens of thousands of times of the iron loss model based on the analytical method, which makes it difficult to obtain the iron loss of the motor in real time

Method used

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  • Method and model for quickly calculating iron loss of variable frequency motor under harmonic conditions
  • Method and model for quickly calculating iron loss of variable frequency motor under harmonic conditions
  • Method and model for quickly calculating iron loss of variable frequency motor under harmonic conditions

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Embodiment 1

[0227] Utilize the model of the present invention based on the analytical method and the classic model based on the time-step finite element and the subsection variable coefficient model respectively to calculate a specification as shown in Table 1 The frequency conversion induction motor of 5.5kW under different power supply voltage sinusoidal power supply conditions Iron consumption. The flux density cloud diagram of the 5.5kW variable frequency induction motor is as follows figure 2 shown. The comparison between actual measurement and simulation Figure 4 shown. It can be seen that when the sinusoidal power supply voltage is low, the accuracy of the three models is high; when the voltage is high, the classical model has a large error because the harmonic loss is not taken into account, while the rapid prediction model and the segmentation of the present invention The calculated value of the variable coefficient model is still close to the measured value.

Embodiment 2

[0229] Using the model of the present invention based on the analytical method and the classic model and the subsection variable coefficient model based on the time-step finite element respectively, a 5.5kW variable frequency induction motor with specifications as shown in Table 1 is used under different switching frequency converter power supply conditions iron consumption. The magnetic density nephogram of the 5.5kW variable frequency induction motor is attached figure 2 shown. The comparison between actual measurement and simulation is attached Figure 6 shown. It can be seen that when the induction motor is powered by a PWM frequency converter, the errors of the fast prediction model and the piecewise variable coefficient model of the present invention are still small, while the accuracy of the classical model becomes poor.

Embodiment 3

[0231] Utilize the model of the present invention based on the analytical method and the classic model based on the time-step finite element and the subsection variable coefficient model respectively to calculate a specification such as the 55kW frequency conversion induction motor shown in Table 2 under the condition of different power supply voltage sinusoidal power supply. consumption. The magnetic density cloud diagram of the 55kW variable frequency induction motor is attached image 3 shown. The comparison between actual measurement and simulation is attached Figure 6 shown. It can be seen that when the sinusoidal power supply voltage is low, the accuracy of the three models is high; when the voltage is high, the classical model has a large error because the harmonic loss is not taken into account, while the rapid prediction model and the segmentation of the present invention The calculated value of the variable coefficient model is still close to the measured value. ...

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Abstract

The invention discloses a method and a model for establishing and calculating a variable frequency motor iron loss rapid prediction model considering a harmonic condition, and belongs to belongs to the field of AC motor loss analysis and calculation. The method is based on a piecewise variable coefficient model to replace magnetic density and frequency variables in the segmented variable coefficient model with voltage and rotating speed variables, the influence of harmonic voltage output by the frequency converter on motor iron loss is considered in a segmented variable coefficient mode, the processing precision is high, and theoretical support can be provided for optimal control over overall loss of the frequency converter and the motor. The iron loss model provided by the invention is not only suitable for loss analysis of a common asynchronous motor, but also can be used for a permanent magnet motor, a switched reluctance motor and other types of motors.

Description

technical field [0001] The invention belongs to the field of analysis and calculation of AC motor loss, and in particular relates to a fast calculation method and model of iron loss of a variable frequency motor under harmonic conditions. Background technique [0002] With the development of variable frequency drive technology, most induction motors are driven by PWM voltage source inverters to meet the needs of variable frequency speed regulation. The motor and drive power of variable frequency motors are generally highly integrated, which makes the harmonic components of the drive power have a greater impact on the loss of the entire motor system. Quick and accurate calculation of the iron loss of the frequency conversion motor is of great help to propose measures to reduce the consumption of the entire motor system. However, the output voltage of the PWM inverter contains a large number of high-order harmonic components, which makes it very difficult to quickly calculate...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F17/50
CPCG06F30/23G06F2119/04
Inventor 张冬冬褚帅君刘天晧
Owner XI AN JIAOTONG UNIV