DocumentCode :
2656514
Title :
The rectangular fluctuation control of improved direct torque controlled permanent magnet synchronous machines based on RBF network
Author :
Yutao, Luo ; Fanzhen, Meng ; Xingfeng, Fu ; Peng, Kuang
Author_Institution :
Dept. of Automobile Eng., South China Univ. of Technol., Guangzhou
fYear :
2008
fDate :
16-18 July 2008
Firstpage :
628
Lastpage :
631
Abstract :
In order to solve to the problem of serious torque and flux ripple in motor direct torque control, an amendatory direct torque control method based on the radial basis function neural network technology was presented in this paper. This method can reduce the torque and flux ripple in static run and enhance the performance of low speed. The simulation experimental results indicate that this method may be feasible alternative and high robust capabilities.
Keywords :
machine control; neurocontrollers; permanent magnet motors; radial basis function networks; robust control; synchronous machines; torque control; RBF network; flux ripple; motor direct torque control; permanent magnet synchronous machines; radial basis function neural network technology; rectangular fluctuation control; AC motors; Equations; Fluctuations; Permanent magnet machines; Radial basis function networks; Rotors; Servomechanisms; Stators; Synchronous motors; Torque control; Direct Torque Control; Permanent Magnet Synchronous Machine Timing System; Radial Basis Function Neural Network;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Control Conference, 2008. CCC 2008. 27th Chinese
Conference_Location :
Kunming
Print_ISBN :
978-7-900719-70-6
Electronic_ISBN :
978-7-900719-70-6
Type :
conf
DOI :
10.1109/CHICC.2008.4604953
Filename :
4604953
Link To Document :
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