Self-constructing recurrent fuzzy neural network for DSP-based permanent-magnet linear-synchronous-motor servodrive

2006 ◽  
Vol 153 (2) ◽  
pp. 236 ◽  
Author(s):  
F.-J. Lin ◽  
S.-L. Yang ◽  
P.-H. Shen
Keyword(s):  
Neural Network ◽  
Permanent Magnet ◽  
Fuzzy Neural Network ◽  
Synchronous Motor ◽  
Linear Synchronous Motor ◽  
Fuzzy Neural ◽  
Recurrent Fuzzy Neural Network

Research on Direct Torque Control Adaptive Fuzzy Neural Network Controller of Permanent Magnet Synchronous Motor

2014 ◽  
Vol 989-994 ◽  
pp. 2815-2819
Author(s):  
Chao Fan Lu ◽  
Hong Bin Yu
Keyword(s):  
Neural Network ◽  
Permanent Magnet ◽  
Hybrid System ◽  
Fuzzy Neural Network ◽  
Permanent Magnet Synchronous Motor ◽  
Synchronous Motor ◽  
Learning Ability ◽  
Smooth Transition ◽  
Neural Network Controller ◽  
Fuzzy Neural

Has the advantages of quick response of PMSM using the method of DTC, but will make the high torque and big magnetic flux linkage ripples. In order to solve this problem, using the fuzzy neural network hybrid system to replace the traditional hysteresis controller, Strong learning ability and fuzzy logic in handling uncertain information has the adaptive ability of neural network, the fuzzy neural network hybrid system to produce the expected voltage vector, the speed of a smooth transition of permanent magnet synchronous motor. The proposed method is validated by simulation under external disturbances in motor is very effective to reduce the ripple of torque and flux, the speed of the fast response and smooth transition.

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