DocumentCode :
2929899
Title :
Efficient-Optimization Strategy Based on Back Propagation for Vector Controlled Claw Pole Motor Drives
Author :
Ding, Guohua
Author_Institution :
Sch. of Inf. Sci. & Eng., Shenyang Ligong Univ., Shenyang, China
fYear :
2011
fDate :
25-28 March 2011
Firstpage :
1
Lastpage :
4
Abstract :
An efficiency optimization vector control scheme based on back propagation (BP) is presented in this paper. The controller is designed to generate d-axes currents command and q-axes currents command simultaneously. In order to achieve a robust BP efficiency optimization vector control from variation of motor parameters, an online learning algorithm is employed. Results of experiments are provided to demonstrate the effectiveness of the proposed method.
Keywords :
control engineering computing; machine vector control; permanent magnet motors; power engineering computing; synchronous motor drives; PMSM; back propagation; d-axes currents command; efficiency optimization vector control; efficient-optimization strategy; online learning algorithm; q-axes currents command; vector controlled claw pole motor drives; Artificial neural networks; Finite element methods; Induction motors; Mathematical model; Neurons; Optimal control; Optimization;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Power and Energy Engineering Conference (APPEEC), 2011 Asia-Pacific
Conference_Location :
Wuhan
ISSN :
2157-4839
Print_ISBN :
978-1-4244-6253-7
Type :
conf
DOI :
10.1109/APPEEC.2011.5748543
Filename :
5748543
Link To Document :
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