Looking for breakthrough ideas for innovation challenges? Try Patsnap Eureka!

Permanent magnet synchronous motor model modeling method based on data statistics and numerical optimization

A permanent magnet synchronous motor, numerical optimization technology, applied in the control of generators, electrical digital data processing, motor generator control and other directions, can solve the problems of model inaccuracy and errors, and achieve the effect of avoiding model inaccuracy problems.

Inactive Publication Date: 2016-07-27
SHANGHAI DAJUN TECH
View PDF0 Cites 4 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0017] The technical problem to be solved by the present invention is to provide a permanent magnet synchronous motor model modeling method based on data statistics and numerical optimization. This method overcomes the defects of traditional motor modeling, uses test data, and establishes a motor based on statistics and numerical optimization Model, to avoid the inaccuracy of the model caused by the change of motor parameters in formula modeling, so that the accuracy of the motor model is within 5% error, and better system-level analysis

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Permanent magnet synchronous motor model modeling method based on data statistics and numerical optimization
  • Permanent magnet synchronous motor model modeling method based on data statistics and numerical optimization
  • Permanent magnet synchronous motor model modeling method based on data statistics and numerical optimization

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0030] The permanent magnet synchronous motor model modeling method based on data statistics and numerical optimization of the present invention comprises the following steps:

[0031] Step 1. Build the motor system test bench, which includes the upper computer and the motor electrical subsystem, such as figure 1 As shown, the electrical subsystem of the motor is composed of the d-axis current estimation model 1, the q-axis current estimation model 2 and the torque estimation model 3. The d-axis current estimation model 1 inputs the d-axis voltage, q-axis current and motor speed to obtain the d-axis Current; q-axis current estimation model 2 inputs d-axis current, q-axis voltage and motor speed to obtain q-axis current; torque estimation model 3 inputs d-axis current, q-axis current and motor speed to obtain motor output torque;

[0032] Step 2: In the d-axis current estimation model, set the motor speed as a global input, and set the d-axis voltage and q-axis current as local...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

PUM

No PUM Login to View More

Abstract

The present invention discloses a permanent magnet synchronous motor model modeling method based on data statistics and numerical optimization. According to the method, a testing bench formed by a host machine, a d-axis current estimation model, a q-axis current estimation models and a torque estimation model is built, and the input and output parameters of each estimation model are set respectively; the host machine sets motor automatic operation condition and collects needed data; and for each motor rotation speed point, each scanning point of d-axis voltage and q-axis current has d-axis current, d-axis current estimation second-order model, a q-axis current estimation second-order model and a torque estimation second-order model are established respectively, and the quadratic equation fitting is used to obtain d-axis current, q-axis current and an output torque to be the characteristic parameter of a permanent magnet synchronous motor model to carry out derivation modeling. The experiment testing data is employed, a motor model is established based on statistics and numerical optimization, the inaccurate model problem in formula modeling is solved, thus the accuracy of the motor model is within 5%, and the system level analysis is carried out well.

Description

technical field [0001] The invention relates to a permanent magnet synchronous motor model modeling method based on data statistics and numerical optimization. Background technique [0002] Usually embedded permanent magnet synchronous motor modeling system consists of two parts: electrical subsystem and mechanical subsystem. The electrical subsystem is modeled according to the following formula: [0003] The three-phase voltage of motor ABC is converted into d-axis voltage and q-axis voltage, such as formulas (1) and (2): [0004] (1) [0005] (2) [0006] The d-axis voltage and q-axis voltage are converted into d-axis current and q-axis current, such as formulas (3) and (4): [0007] (3) [0008] (4) [0009] The d-axis current and q-axis current are converted into the ABC three-phase current of the motor, such as formulas (5), (6) and (7): [0010] (5) [0011] (6) [0012] (7) [0013] The output torque of the motor is generated, as shown in formu...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

Application Information

Patent Timeline
no application Login to View More
Patent Type & Authority Applications(China)
IPC IPC(8): H02P21/14G06F19/00
Inventor 张德赵洪涛徐性怡
Owner SHANGHAI DAJUN TECH
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Patsnap Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Patsnap Eureka Blog
Learn More
PatSnap group products

Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic, Popular Technical Reports.

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap|About US| Contact US: help@patsnap.com