DocumentCode :
2572770
Title :
Application of genetic algorithms in parameters identification of asynchronous motor
Author :
Jin, Hai ; Ma, Shouguang ; Du, Pengying
Author_Institution :
Coll. of Inf.&Electron., Zhejiang Sci-Tech Univ., Hangzhou, China
fYear :
2009
fDate :
11-14 Oct. 2009
Firstpage :
4976
Lastpage :
4981
Abstract :
The paper deals with methods of identification of the parameters of an induction motor model using genetic algorithms and propose that asynchronous motor parameters could be identificated based on genetic algorithm using data of induction motors during starting process. Methods and process are first presented to estimate all parameters of a asynchronous motor based on genetic algorithm, and then identification are actualized in the stator reference frame and rotor reference frame respectively. In the end, the identification in two reference frames are combined together, and the identification accuracy of all the parameters are improved a lot.
Keywords :
genetic algorithms; induction motors; machine theory; parameter estimation; starting; asynchronous motor parameter identification; genetic algorithms; induction motor model; rotor reference frame; starting process; stator reference frame; Cybernetics; Frequency conversion; Genetic algorithms; Induction motors; Optimization methods; Parameter estimation; Performance evaluation; Rotors; Testing; Torque control; Genetic algorithm; asynchronous motor; parameters identification;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Systems, Man and Cybernetics, 2009. SMC 2009. IEEE International Conference on
Conference_Location :
San Antonio, TX
ISSN :
1062-922X
Print_ISBN :
978-1-4244-2793-2
Electronic_ISBN :
1062-922X
Type :
conf
DOI :
10.1109/ICSMC.2009.5346364
Filename :
5346364
Link To Document :
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