Artificial intelligent control of permanent magnet synchronous generator based wind energy conversion system
Other Title(s)
التحكم الذكي الاصطناعي لمولد متزامن ذو مغناطيس دائم بالاعتماد على تحويل طاقة الرياح
Author
Source
Kirkuk University Journal-Scientific Studies
Issue
Vol. 14, Issue 2 (30 Jun. 2019), pp.36-52, 17 p.
Publisher
Kirkuk University College of Science
Publication Date
2019-06-30
Country of Publication
Iraq
No. of Pages
17
Main Subjects
Engineering & Technology Sciences (Multidisciplinary)
Topics
Abstract EN
In this work new maximum power extracted architecture is proposed for wind turbine generator.
Adaptive network based fuzzy inference system (ANFIS) is used to precisely estimate the rotor angle and speed which is necessary for vector control in order to forces the generator to track maximum power using variable speed operation generator.
In this algorithm the separate control of the torque from the flux make the control of a generator operation with variable speed more efficient.
The ANFIS network is trained off line from the normal operation of the permanent magnet generator
American Psychological Association (APA)
Muhammad, Mahir Faiq. 2019. Artificial intelligent control of permanent magnet synchronous generator based wind energy conversion system. Kirkuk University Journal-Scientific Studies،Vol. 14, no. 2, pp.36-52.
https://search.emarefa.net/detail/BIM-1037603
Modern Language Association (MLA)
Muhammad, Mahir Faiq. Artificial intelligent control of permanent magnet synchronous generator based wind energy conversion system. Kirkuk University Journal-Scientific Studies Vol. 14, no. 2 (Jun. 2019), pp.36-52.
https://search.emarefa.net/detail/BIM-1037603
American Medical Association (AMA)
Muhammad, Mahir Faiq. Artificial intelligent control of permanent magnet synchronous generator based wind energy conversion system. Kirkuk University Journal-Scientific Studies. 2019. Vol. 14, no. 2, pp.36-52.
https://search.emarefa.net/detail/BIM-1037603
Data Type
Journal Articles
Language
English
Notes
-
Record ID
BIM-1037603