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

Method for controlling synchronous motor low speed sensorless based on self-adaptive filter

A technology of adaptive filter and synchronous motor, which is applied in the direction of motor generator control, AC motor control, electronic commutation motor control, etc., can solve the problems that the performance of the estimator is greatly affected, and the parameter design process of the speed estimator is complicated. Achieve the effect of enhancing low frequency attenuation ability and improving control accuracy

Active Publication Date: 2016-04-20
CHINA UNIV OF MINING & TECH
View PDF2 Cites 10 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

At the same time, the parameter design process of the speed estimator is relatively complicated, and the performance of the estimator is greatly affected by the change of the electrical parameter value.

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
  • Method for controlling synchronous motor low speed sensorless based on self-adaptive filter
  • Method for controlling synchronous motor low speed sensorless based on self-adaptive filter
  • Method for controlling synchronous motor low speed sensorless based on self-adaptive filter

Examples

Experimental program
Comparison scheme
Effect test

specific Embodiment

[0039] Such as figure 1 As shown in the block diagram of the permanent magnet synchronous motor sensorless control structure based on pulse vibration high-frequency voltage injection, the speed and position estimation module replaces the traditional photoelectric encoder and position sensor to provide the motor rotor position signal required for motor vector control, and the speed Motor rotor speed signal required for closed-loop control. In sensorless control, the real spatial position of the rotor is unknown, and the angles involved in the rotation transformation are estimated angles, so each physical quantity is the physical quantity in the estimated two-phase rotating coordinate system with a superscript Indicates; the physical quantity in the stationary coordinate system is superscripted (S) Represents; estimated motor rotor position and the estimated speed Given by the speed position estimation module, the rotation factor and Indicates the coordinate transforma...

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 discloses a method for controlling a synchronous motor low speed sensorless based on a self-adaptive filter, which comprises steps: high frequency voltage signals are injected into a straight shaft of an estimated two-phase rotating coordinate system, high frequency current signals below the two-phase rotating coordinate system corresponding to injection high frequency voltage frequency are extracted by utilizing a self-adaptive band-pass filter, a sine value of an included angle between a high frequency current vector angle and a straight shaft in the two-phase rotating coordinate system is counted by utilizing an quadrature-direct axis high frequency current component signal to combine with trigonometric function relationship, and the rotating speed of a motor and the position of rotors are counted by utilizing counted current vector angles to combine with a phase-locked loop estimation algorithm. The method for controlling the synchronous motor low speed sensorless based on the self-adaptive filter can adjust the bandwidth of a filter transmission band, greatly enhances low frequency attenuating property, effectively filters direct current component in the high frequency current signals, solves the problem of direct current bias in high frequency current, and improves estimation precision. The method for controlling the synchronous motor low speed sensorless based on the self-adaptive filter simplifies signal processing process and the parameter design process of a rotating speed estimator on the whole, and improves dynamic property of a control system.

Description

technical field [0001] The invention relates to a sensorless control method in the low-speed section of a synchronous motor based on an adaptive filter, in particular to a sensorless control method in the low-speed section of a permanent magnet synchronous motor by using an adaptive band-pass filter to extract a high-frequency current signal, combined with a speed position estimation algorithm The control method belongs to the technical field of permanent magnet synchronous motor control. Background technique [0002] Permanent magnet synchronous motor sensorless control refers to the omission of the mechanical sensor to obtain the position information of the motor rotor, while retaining the current sensor that is also required in the torque control. By calculating or observing the electrical quantity containing the rotor position information, it is estimated that the motor rotor The speed and position of the motor, so as to realize the closed-loop control of the motor curre...

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): H02P21/18H02P21/32H02P25/022
Inventor 田里思陈昊马小平
Owner CHINA UNIV OF MINING & 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