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