Study Results from University of Science and Technology Broaden Understanding of Wind Energy (New M5p Model Tree-based Control for Doubly Fed Induction Generator In Wind Energy Conversion System)
- Jun 29, 2020 11:23 pm GMT
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2020 JUN 29 (NewsRx) -- By a News Reporter-Staff News Editor at Energy Daily News -- Researchers detail new data in Energy - Wind Energy. According to news reporting out of Algiers, Algeria, by NewsRx editors, research stated, “This paper presents a new algorithm based on the combination of fuzzy logic control with M5 decision tree algorithm for doubly fed induction generator active and reactive power control. The M5 model tree is a machine learning algorithm that uses the extracted dataset from fuzzy logic for the aim of control performance enhancement.”
Our news journalists obtained a quote from the research from the University of Science and Technology, “Because the fuzzy logic provides high design and implementation complexity, the new control approach is proposed to reduce its complexity and to achieve fast dynamic control by translating the fuzzy logic algorithm into simple if-then instructions using M5 model tree. The obtained model shows good agreement with fuzzy logic in rotor side control. The effectiveness of the proposed control approach is investigated through Matlab/Simulink software.”
According to the news editors, the research concluded: “Furthermore, a cosimulated through processor in the loop testing is performed as an experimental verification using a low-cost STM32F407 discovery board.”
For more information on this research see: New M5p Model Tree-based Control for Doubly Fed Induction Generator In Wind Energy Conversion System. Wind Energy, 2020;():. Wind Energy can be contacted at: Wiley, 111 River St, Hoboken 07030-5774, NJ, USA. (Wiley-Blackwell - http://www.wiley.com/; Wind Energy - http://onlinelibrary.wiley.com/journal/10.1002/(ISSN)1099-1824)
Our news journalists report that additional information may be obtained by contacting M. Ali, University of Science and Technology Usthb, Fac Elect & Comp Sci, Lab Instrumentat, Algiers, Algeria. Additional authors for this research include A. Talha and E. Berkouk.
The direct object identifier (DOI) for that additional information is: https://doi.org/10.1002/we.2519. This DOI is a link to an online electronic document that is either free or for purchase, and can be your direct source for a journal article and its citation.
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