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Rotor resistance online identification of vector controlled induction motor based on neural network
Fan B.2; Yang Z.1; Xu W.1; Wang X.1
2014
Source PublicationMathematical Problems in Engineering
ISSN15635147 1024123X
Volume2014
Abstract

Rotor resistance identification has been well recognized as one of the most critical factors affecting the theoretical study and applications of AC motor's control for high performance variable frequency speed adjustment. This paper proposes a novel model for rotor resistance parameters identification based on Elman neural networks. Elman recurrent neural network is capable of performing nonlinear function approximation and possesses the ability of time-variable characteristic adaptation. Those influencing factors of specified parameter are analyzed, respectively, and various work states are covered to ensure the completeness of the training samples. Through signal preprocessing on samples and training dataset, different input parameters identifications with one network are compared and analyzed. The trained Elman neural network, applied in the identification model, is able to efficiently predict the rotor resistance in high accuracy. The simulation and experimental results show that the proposed method owns extensive adaptability and performs very well in its application to vector controlled induction motor. This identification method is able to enhance the performance of induction motor's variable-frequency speed regulation.

DOI10.1155/2014/831839
URLView the original
Indexed BySCI
Language英语
WOS Research AreaEngineering ; Mathematics
WOS SubjectEngineering, Multidisciplinary ; Mathematics, Interdisciplinary Applications
WOS IDWOS:000344297000001
Fulltext Access
Citation statistics
Document TypeJournal article
CollectionDEPARTMENT OF ELECTROMECHANICAL ENGINEERING
Corresponding AuthorYang Z.
Affiliation1.Universidade de Macau
2.Henan University of Science and Technology
Recommended Citation
GB/T 7714
Fan B.,Yang Z.,Xu W.,et al. Rotor resistance online identification of vector controlled induction motor based on neural network[J]. Mathematical Problems in Engineering,2014,2014.
APA Fan B.,Yang Z.,Xu W.,&Wang X..(2014).Rotor resistance online identification of vector controlled induction motor based on neural network.Mathematical Problems in Engineering,2014.
MLA Fan B.,et al."Rotor resistance online identification of vector controlled induction motor based on neural network".Mathematical Problems in Engineering 2014(2014).
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