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