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A brushless DC motor position sensing method based on lssvm decision classification

A brushed DC motor and sensing method technology, applied in the control of generators, motor generator control, control of electromechanical transmission devices, etc., can solve problems such as difficult to use motor operation requirements

Active Publication Date: 2022-07-15
HUNAN UNIV OF TECH
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  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

[0005] Technical problem: The rotor signal detection methods with position sensor and various position sensorless devices have their limitations, so it is difficult to apply to occasions with relatively high requirements for motor operation

Method used

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  • A brushless DC motor position sensing method based on lssvm decision classification
  • A brushless DC motor position sensing method based on lssvm decision classification
  • A brushless DC motor position sensing method based on lssvm decision classification

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Embodiment Construction

[0049] The brushless DC motor position sensing method based on LSSVM one-to-many classification proposed by the present invention is described in detail as follows in conjunction with the system structure diagram:

[0050] Step1: Collect the input and output detection signals of the system for the brushless DC motor with the same type of position sensor: A, B phase voltage u a (k),u b (k), current i a (k),i b (k),i a (k-1),i b (k-1) is used as the input of LSSVM, S(K) is the rotor position signal, which is used as the output of LSSVM, and the 0-360-degree electrical angle of the rotor rotation of the DC motor is divided into an area of ​​every 60 degrees, a total of 6 area, the rotor position is indicated by the area number 1-6.

[0051] Step2: A total of 15 LSSVM two-classifiers are set. The first layer of 1 classifier will set the samples whose category is not 1 (2-6 categories) as positive samples, and the samples whose category is not 6 (1-5 categories) are set as neg...

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Abstract

Aiming at the problem of rotor position detection of the brushless DC motor, the invention proposes a brushless DC motor position sensing method based on the least squares support vector machine (LSSVM) decision classification. It is characterized in that the stator voltage and current of the brushless DC motor are used as the input of the decision-making LSSVM, and the rotor position information is used as the output. Two classifiers are used to make hierarchical classification decisions; the SVM network is trained by the grid optimization method to determine the optimal parameters of LSSVM, and then the trained network model is applied to the motor operation, and the motor stator voltage and current are collected as the input of LSSVM. The hierarchical decision-making determines the final rotor position information, and through the rotor position estimation logic commutation signal, the on-off of the corresponding switch tube corresponding to each area is determined, that is, the commutation logic signal.

Description

technical field [0001] The invention relates to a rotor position sensing method in the field of brushless direct current motors, in particular to a brushless direct current motor position sensing method based on Least Square Support Vector Machine (LSSVM) decision classification. Background technique [0002] The brushless DC motor controls the electronic commutation circuit through the rotor position signal, so that each winding of the stator armature is continuously commutated and energized, so that the stator magnetic field and the rotor permanent magnetic field always maintain a space angle of about 90, and generate torque to drive the rotor to run. [0003] The rotor position information of the traditional brushless DC motor is measured by the position sensor, and a position detection device needs to be installed. However, the brushless DC motor with the position detection device has the following disadvantages: increasing the size of the motor is not conducive to the mi...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): H02P21/18
CPCH02P21/18
Inventor 王欣秦羽新秦斌
Owner HUNAN UNIV OF TECH