Title :
A current control algorithm based on variable current threshold for four-switch three-phase BLDCM using intelligent controller
Author :
Xia, Changliang ; Li, Zhiqiang ; Song, Peng ; Wang, Yingfa
Author_Institution :
Sch. of Electr. Eng. & Autom., Tianjin Univ., Tianjin
Abstract :
Cost minimization is the key to the large volume manufacture and application of the brushless DC motor. A novel four-switch three-phase brushless DC motor drive based on variable threshold direct current control is proposed to lower cost and improve performance. The real-time current threshold identifier working based on speed error and current of DC link, is made up of a radial basis function neural network. The current threshold value is adjusted synchronously with phase conversion to make sure that the phase current wave could keep in shape of trapezoid. Two single neuron PID controllers consist of the current controller. They individually regulate duty cycle of PWM signals working on the inverter bridge to make phase current fall in the specified threshold quickly and smoothly. Experimental system has the advantages of flexible control, strong adaptability, and achieves higher control accuracy and better robustness. Also the structure of system is simplified.
Keywords :
DC motor drives; brushless DC motors; electric current control; intelligent control; machine control; phase convertors; radial basis function networks; three-term control; PWM signals; current control algorithm; current threshold identifier; intelligent controller; inverter bridge; phase conversion; radial basis function neural network; single neuron PID controllers; three-phase BLDCM; three-phase brushless DC motor drive; variable current threshold; Brushless DC motors; Control systems; Costs; Current control; Manufacturing; Neurons; Pulse width modulation inverters; Radial basis function networks; Shape; Three-term control; Brushless DC motor; Four-switch three-phase converter; Radial basis function neural network; Single-neuron adaptive PID controller;
Conference_Titel :
Industrial Technology, 2008. ICIT 2008. IEEE International Conference on
Conference_Location :
Chengdu
Print_ISBN :
978-1-4244-1705-6
Electronic_ISBN :
978-1-4244-1706-3
DOI :
10.1109/ICIT.2008.4608458