Hall line sequence adaptive learning method of brushless motor

A self-adaptive learning, brushless motor technology, applied in the direction of electronic commutator, rotation direction control, etc., can solve problems such as identification failure, and achieve significant technical effects

Inactive Publication Date: 2020-06-05
SHENZHEN VMMORE CONTROL TECH
View PDF6 Cites 8 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

This method is suitable for Hall installed with an advanced timing angle of 30 degrees. If this method is used on a more widely used motor with a Hall installed at a timing angle of 0 degrees, the identification may fail due to repeated jumps of the Hall signal.

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
  • Hall line sequence adaptive learning method of brushless motor
  • Hall line sequence adaptive learning method of brushless motor
  • Hall line sequence adaptive learning method of brushless motor

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0023] The present invention will be described in more detail below with reference to the drawings and embodiments.

[0024] The invention discloses a Hall line sequence adaptive learning method of a brushless motor, please refer to Figure 5 The method is implemented based on a motor and a driver. The motor is equipped with 3 Hall sensors. The power line of the motor includes phase A, phase B and phase C. The method includes the following steps:

[0025] Step S1, for the first sector, open the C-phase upper bridge arm, the A-phase lower bridge arm and the B-phase lower bridge arm, so that current flows in from the C phase and flows out from the A and B phases. The rotor of the motor is After the magnetic field is dragged, stop at a position, save the Hall signal of this position, and establish the mapping relationship: when the Hall signal appears, if the motor needs to be controlled to rotate, the control coil current direction is A phase → B phase, if Need to control the motor t...

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 Hall line sequence adaptive learning method of a brushless motor. The method comprises the steps of targeting to a first sector, opening a C-phase upper bridge arm, an A-phase lower bridge arm and a B-phase lower bridge arm; enabling the current to flow in from the C phase and flow out from the phase A and the phase B; enabling the rotor of the motor to stop at a positionafter being dragged by a magnetic field, storing the Hall signal of the position , and establishing a mapping relation : when the Hall signal appears, if the motor needs to be controlled to rotate forwards, controlling the current direction of the coil to be A phase to B phase, and if the motor needs to be controlled to rotate reversely, controlling the current direction of the coil to be B phaseto A phase; and sequentially processing the second sector, the third sector, the fourth sector, the fifth sector and the sixth sector in the same way. According to the invention, by establishing themapping relation between the Hall signal and the brushless motor energized coil, the motor power line and the Hall signal line can be connected according to any sequence; the installation type of theHall sensor can be recognized, and various Hall sensor installation modes can be supported.

Description

Technical field [0001] The invention relates to a motor drive system, in particular to a Hall line sequence adaptive learning method of a brushless motor. Background technique [0002] In the prior art, a Hall sensor brushless motor uses a Hall sensor to know the position of the permanent magnet of the rotor, and switches the energization phase of the stator coil according to the Hall signal. Compared with the Hallless brushless motor, it is more stable when starting at low speed, and the maximum torque can be output when starting at zero speed. Therefore, the Hall brushless motor is widely used in occasions where large torque is required for frequent start and stop. The driver needs to determine the coil that the motor is energized according to the Hall signal, so the mapping relationship between the Hall signal data and the motor energization coil must be determined. In actual applications, the power line ABC from the driver to the motor and the Hall signal HA, HB, HC must be c...

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): H02P6/16H02P6/30
CPCH02P6/16H02P6/30
Inventor 陈阳
Owner SHENZHEN VMMORE CONTROL TECH
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