Rotor Resistance Online Identification of Vector Controlled Induction Motor Based on Neural Network
Joint Authors
Xu, Wei
Yang, Zhixin
Fan, Bo
Wang, Xianbo
Source
Mathematical Problems in Engineering
Issue
Vol. 2014, Issue 2014 (31 Dec. 2014), pp.1-10, 10 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2014-09-25
Country of Publication
Egypt
No. of Pages
10
Main Subjects
Abstract EN
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.
American Psychological Association (APA)
Fan, Bo& Yang, Zhixin& Xu, Wei& Wang, Xianbo. 2014. Rotor Resistance Online Identification of Vector Controlled Induction Motor Based on Neural Network. Mathematical Problems in Engineering،Vol. 2014, no. 2014, pp.1-10.
https://search.emarefa.net/detail/BIM-1046493
Modern Language Association (MLA)
Fan, Bo…[et al.]. Rotor Resistance Online Identification of Vector Controlled Induction Motor Based on Neural Network. Mathematical Problems in Engineering No. 2014 (2014), pp.1-10.
https://search.emarefa.net/detail/BIM-1046493
American Medical Association (AMA)
Fan, Bo& Yang, Zhixin& Xu, Wei& Wang, Xianbo. Rotor Resistance Online Identification of Vector Controlled Induction Motor Based on Neural Network. Mathematical Problems in Engineering. 2014. Vol. 2014, no. 2014, pp.1-10.
https://search.emarefa.net/detail/BIM-1046493
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1046493