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Novel Modified Elman Neural Network Control for PMSG System Based on Wind Turbine Emulator
Author
Source
Mathematical Problems in Engineering
Issue
Vol. 2013, Issue 2013 (31 Dec. 2013), pp.1-15, 15 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2013-05-12
Country of Publication
Egypt
No. of Pages
15
Main Subjects
Abstract EN
The novel modified Elman neural network (NN) controlled permanent magnet synchronous generator (PMSG) system, which is directly driven by a permanent magnet synchronous motor (PMSM) based on wind turbine emulator, is proposed to control output of rectifier (AC/DC power converter) and inverter (DC/AC power converter) in this study.
First, a closed loop PMSM drive control based on wind turbine emulator is designed to generate power for the PMSG system according to different wind speeds.
Then, the rotor speed of the PMSG, the voltage, and current of the power converter are detected simultaneously to yield better power output of the converter.
Because the PMSG system is the nonlinear and time-varying system, two sets online trained modified Elman NN controllers are developed for the tracking controllers of DC bus power and AC power to improve output performance of rectifier and inverter.
Finally, experimental results are verified to show the effectiveness of the proposed control scheme.
American Psychological Association (APA)
Lin, Chih-Hong. 2013. Novel Modified Elman Neural Network Control for PMSG System Based on Wind Turbine Emulator. Mathematical Problems in Engineering،Vol. 2013, no. 2013, pp.1-15.
https://search.emarefa.net/detail/BIM-1010634
Modern Language Association (MLA)
Lin, Chih-Hong. Novel Modified Elman Neural Network Control for PMSG System Based on Wind Turbine Emulator. Mathematical Problems in Engineering No. 2013 (2013), pp.1-15.
https://search.emarefa.net/detail/BIM-1010634
American Medical Association (AMA)
Lin, Chih-Hong. Novel Modified Elman Neural Network Control for PMSG System Based on Wind Turbine Emulator. Mathematical Problems in Engineering. 2013. Vol. 2013, no. 2013, pp.1-15.
https://search.emarefa.net/detail/BIM-1010634
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1010634