Extreme learning machine based brushless direct current motor and position sensor less control method

Abstract

The invention aims at rotor position detection problems of brushless direct current motors, and provides an extreme learning machine (ELM) based brushless direct current motor and position sensor lesscontrol method. The extreme learning machine (ELM) based position sensor less control method includes taking brushless direct current motor stator voltage and current as input of an extreme learningmachine network, and taking commutation logic signals as output; and determining network parameters through the training of the ELM network, and utilizing determined network model commutation logic signals to the operation of a motor, the motor stator voltage and current being the input and the commutation logic signals being the output. A control part adopts current speed double closed loop control, and related logical operation can be performed on the output of a current controller and the commutation logic signals of the ELM network output to obtain control signals of an inverter circuit. The position sensor less control method has advantages of good dynamic performance and good robustness; the accuracy of the controller can be enhanced by the operation of an extreme learning machine, learning rates of an algorithm can be quickened, and reaction speed of the controller can be accelerated.

Description

technical field [0001] The invention relates to a control method in the field of brushless DC motors, specifically a method for controlling a brushless DC motor without a position sensor based on an extreme learning machine. Background technique [0002] Since the brushless DC motor has no brushes, it needs an electronic commutation circuit for current commutation, and a position signal is necessary to realize electronic commutation. The electronic commutation circuit is controlled by the rotor position signal so that the windings of the stator armature are continuously commutated and energized, so that the stator magnetic field changes continuously with the position of the rotor, so that the stator magnetic field and the rotor permanent magnetic field always maintain a left and right space Angle, generate torque to drive the rotor to rotate. [0003] Because the electronic commutation circuit needs the rotor position signal control, it is necessary to measure the rotor pos...

AI Technical Summary

Problems solved by technology

[0005] Technical problem: A variety of position sensorless rotor signal detection methods have their limitations, and the accuracy is not very high, so it is difficult to apply to occasions that require relatively high motor operation

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