DocumentCode :
2793591
Title :
Research of Brushless DC Motor Simulation System Based on RBF-PID Algorithm
Author :
Fan, Xu ; Meng, Fanlin ; Fu, Changhong ; Luo, Zhifeng ; Wu, Shunxiang
Author_Institution :
Dept. of Autom., Xiamen Univ., Xiamen, China
Volume :
2
fYear :
2009
fDate :
Nov. 30 2009-Dec. 1 2009
Firstpage :
277
Lastpage :
280
Abstract :
This paper has made a thorough analysis of brushless DC motor simulation system, in which we use a single neuron PID control algorithm based on RBF neural network for on-line identification (RBF-PID Algorithm). A special human-computer interaction (HCI) interface was designed in this paper, which provides interface for users to set the correlative parameters and select related control algorithm. Two control algorithms: Conventional PID and RBF-PID algorithm were respectively adopted in this paper to make a comparison. The result shows that RBF-PID Algorithm performs better controlling Brushless DC Motor. Thus, the Simulation System is of great advantage for parameters testing and setting for the controller of Brushless DC Motor compared with traditional manual methods in practical use.
Keywords :
brushless DC motors; control engineering computing; electric machine analysis computing; radial basis function networks; three-term control; RBF neural network; RBF-PID Algorithm; brushless DC motor simulation system; human-computer interaction; online identification; single neuron PID control algorithm; Algorithm design and analysis; Analytical models; Brushless DC motors; Displays; Flowcharts; Human computer interaction; Knowledge acquisition; Neural networks; Radial basis function networks; Three-term control; Brushless DC Motor; HCI; RBF algorithm; Simulation System;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Knowledge Acquisition and Modeling, 2009. KAM '09. Second International Symposium on
Conference_Location :
Wuhan
Print_ISBN :
978-0-7695-3888-4
Type :
conf
DOI :
10.1109/KAM.2009.212
Filename :
5361944
Link To Document :
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