Induction motor state strong tracking filtering estimation method including parameter tracking

A technology of strong tracking filtering and induction motors, which is applied in the control of generators, motor generators, electronically commutated motors, etc. It can solve the problems of poor speed and flux linkage estimation performance, and the sudden state cannot be quickly and accurately tracked and estimated.

Active Publication Date: 2020-05-05
TIANJIN RES INST OF ELECTRIC SCI
View PDF3 Cites 7 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] The purpose of the present invention is to overcome the deficiencies of the prior art, and propose a method for estimating induction motor state strong tracking filtering including parameter tracking, which solves the poor performance of speed and flux linkage estimation cau

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
  • Induction motor state strong tracking filtering estimation method including parameter tracking
  • Induction motor state strong tracking filtering estimation method including parameter tracking
  • Induction motor state strong tracking filtering estimation method including parameter tracking

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0085] Embodiments of the present invention will be described in further detail below in conjunction with the accompanying drawings.

[0086] Design idea of ​​the present invention is:

[0087] The invention adopts a strong tracking filter method including particle swarm optimization iterative learning parameter tracking to realize the joint estimation function of induction motor speed and rotor flux linkage. exist figure 1 The field-oriented vector control system of induction motors including parameter tracking STF algorithm shown includes two parts: PSO parameter tracking and STF state estimation: (1) In the part of PSO parameter tracking, considering the parameter changes and model uncertainty of induction motors, construct The identified model with the same structure as the motor dynamic model takes the integral of the weighted sum of squared output residuals of the controlled model and the identification model as the optimization index, and uses the PSO iterative learnin...

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 invention relates to an induction motor state strong tracking filtering estimation method including parameter tracking. The method is characterized in that a PSO iterative learning dynamic optimization algorithm is adopted to track induction motor parameters on line; and an STF algorithm is adopted to jointly estimate the rotating speed of the induction motor and the rotor flux linkage. According to the invention, the strong tracking filtering estimation algorithm containing parameter tracking is adopted to carry out joint estimation on the rotating speed of the induction motor and the rotor flux linkage; high-performance estimation of the rotating speed of the induction motor and the rotor flux linkage can be effectively realized; compare with EKF, the STF algorithm including parameter tracking is more excellent in estimation precision, tracking speed and stability; moreover, the abrupt change state can be quickly tracked, and particularly, relatively good estimation performance can still be kept in a low-speed section; the state estimation precision and the algorithm robustness are effectively improved; and a foundation is laid for realizing speed-sensor-free high-performancevector control of the induction motor.

Description

technical field [0001] The invention belongs to the technical field of motor control and state estimation, in particular to an induction motor state strong tracking filter estimation method including parameter tracking. Background technique [0002] In the high-performance vector control system of induction motors, the rotor field-oriented vector control can realize the decoupling control function of torque and flux linkage. It has superior dynamic performance and is currently the most widely used control method. The closed-loop control of rotational speed and flux linkage is the key to realize accurate orientation of the magnetic field and high-performance speed control. Strong model robustness. With the continuous improvement of high-performance vector control and the development of speed sensorless fault-tolerant control technology, how to quickly and accurately obtain the speed and flux information of induction motors, improve the speed estimation accuracy and flux obse...

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
IPC IPC(8): H02P21/14H02P21/18
CPCH02P21/141H02P21/18
Inventor 张中磊姜一达王自满孙传杰杨敬然李楠田凯
Owner TIANJIN RES INST OF ELECTRIC SCI
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Try Eureka
PatSnap group products

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

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap