DocumentCode :
2868398
Title :
Research on speed-control of BLDCM based on intelligent control algorithm
Author :
Feng, Yang ; Qian, Hao
Author_Institution :
Center of Nat. Electr. & Electron. Exp. Teaching, North Univ. of China, Taiyuan, China
Volume :
13
fYear :
2010
fDate :
22-24 Oct. 2010
Abstract :
The paper design a speed-control system of BLDCM by using the parameter self-tuning fuzzy PID control and single neuron adaptive PID control algorithm. Through simulation of double close-loop speed-control system to BLDCM model by using Simulink in MATLAB, we can synthesize the results that the rotational speed is non-overshoot, and high steady precision under single neuron adaptive PID.
Keywords :
adaptive control; brushless DC motors; closed loop systems; fuzzy control; machine control; neurocontrollers; self-adjusting systems; three-term control; velocity control; BLDCM; Matlab; Simulink; close loop system; intelligent control algorithm; self-tuning fuzzy PID control; single neuron adaptive PID control; speed control; Adaptation model; Adaptive systems; Analytical models; Computational modeling; Neurons; Velocity control; BLDCM; MATLAB simulation; parameter self-tuning fuzzy PID control; single neuron;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computer Application and System Modeling (ICCASM), 2010 International Conference on
Conference_Location :
Taiyuan
Print_ISBN :
978-1-4244-7235-2
Electronic_ISBN :
978-1-4244-7237-6
Type :
conf
DOI :
10.1109/ICCASM.2010.5622859
Filename :
5622859
Link To Document :
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