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Modeling and Simulation of Permanent Magnet Synchronous Motor based on Neural Network Control Strategy.

Authors :
Bingyang Luo
Shangjie Chi
Man Fang
Mengchao Li
Source :
AIP Conference Proceedings; 2017, Vol. 1820 Issue 1, p1-7, 7p, 6 Diagrams, 2 Graphs
Publication Year :
2017

Abstract

Permanent magnet synchronous motor is used widely in industry, the performance requirements wouldn't be met by adopting traditional PID control in some of the occasions with high requirements. In this paper, a hybrid control strategy - nonlinear neural network PID and traditional PID parallel control are adopted. The high stability and reliability of traditional PID was combined with the strong adaptive ability and robustness of neural network. The permanent magnet synchronous motor will get better control performance when switch different working modes according to different controlled object conditions. As the results showed, the speed response adopting the composite control strategy in this paper was faster than the single control strategy. And in the case of sudden disturbance, the recovery time adopting the composite control strategy designed in this paper was shorter, the recovery ability and the robustness were stronger. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
0094243X
Volume :
1820
Issue :
1
Database :
Complementary Index
Journal :
AIP Conference Proceedings
Publication Type :
Conference
Accession number :
121851431
Full Text :
https://doi.org/10.1063/1.4977352