基于神经网络的无刷直流电机调速系统的仿真.pdf
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第33 卷第4 期 黑 龙 江 水 专 学 报 Vol33, No. 4
2006 年12 月 Journal of Heilongjiang Hydraulic Engineering College Dec. , 2006
: 1000- 833( 2006) 04- 0072- 03
罗有明, 张春喜
( , 150040)
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Simulation of Speedadjustment System on Neural Netw ork
Selftuning Control for Brushless DC Motor
LUO Youming, ZHANG Chunxi
( College of Electric and Electronic Engineering, Harbin University of Science and T echnology, Harbin 150040, China)
Abstract :An approach of brushless DC motor speedadjustment system is presented in this paper based on Neu
ral netw ork selftuning control for the requirement of performance and precision. A multilevel Neural netw ork is
designed in this paper. The Neural netw ork can distinguish the dynamic performances of the system and control
brushless DC motor to make speed follow the orbit that is choosen in advance, and the follow ing precision is
high. The system is modelled and simulated in M atlab/ Simulink. The result shows that the system using the ap
proach can greatly improve the performance of speedadjustment system.
Key words: brushless DC motor; Neural netw ork; selftuning control; Matlab/ Simulink
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