Scopus
YÖKSİS Eşleşti
FPGA-based self-organizing fuzzy controller for electromagnetic filter
Neural Computing and Applications · Eylül 2017
YÖKSİS Kayıtları
FPGA-based self-organizing fuzzy controller for electromagnetic filter
NEURAL COMPUTING & APPLICATIONS · 2017 SCI-Expanded
DOÇENT İLKER ALİ ÖZKAN →
FPGA-based self-organizing fuzzy controller for electromagnetic filter
Neural Computing and Applications · 2017 SCI-Expanded
DOÇENT İLKER ALİ ÖZKAN →
FPGA based self organizing fuzzy controller for electromagnetic filter
Neural Computing and Applications · 2016 Science Citation Index Expanded (SciSearch), Journal Citation Reports/Science Edition, SCOPUS, INSPEC, Zentralblatt Math, Google Scholar, EBSCO Discovery Service, CSA, Academic OneFile, Academic Search, ACM Digital Library, Computer Science Index, CSA Environmental Sciences, Current Contents/Engineering, Computing and Technology, DBLP, EI-Compendex, Gale, io-port.net, OCLC, PASCAL, Referativnyi Zhurnal (VINITI), SCImago, Summon by ProQuest
DOÇENT İLKER ALİ ÖZKAN →
FPGA based self organizing fuzzy controller for electromagnetic filter
Neural Computing and Applications · 2016 SCI-Expanded
PROFESÖR İSMAİL SARITAŞ →
FPGA-based self-organizing fuzzy controller for electromagnetic filter
Neural Computing and Applications · 2017 SCI-Expanded
PROFESÖR İSMAİL SARITAŞ →
FPGA-based self-organizing fuzzy controller for electromagnetic filter
Neural Computing and Applications · 2017 SCI-Expanded
PROFESÖR İSMAİL SARITAŞ →
Makale Bilgileri
DergiNeural Computing and Applications
Yayın TarihiEylül 2017
Cilt / Sayfa28 · 2535-2543
Scopus ID2-s2.0-84955570678
Özet
Electromagnetic filters (EMF) are used to clean magnetic particles in industrial liquids which play important roles to sustain the high-quality material production in industrial fields. In this study, an FPGA-based adaptive fuzzy controller is realized to sustain high performance of an EMF. An experiment is performed by using realized adaptive controller on an EMF set. The results obtained from the experiment are compared with the results of the conventional fuzzy controller. It is observed that adaptive fuzzy controller is performed better than the conventional fuzzy controller.
Yazarlar (3)
1
Ilker Ali Ozkan
2
Saadetdin Herdem
3
Ismail Saritas
Anahtar Kelimeler
Adaptive control
Fuzzy control
Magnetic filter control
Magnetic separation
Kurumlar
Selçuk Üniversitesi
Selçuklu Turkey
Metrikler
3
Atıf
3
Yazar
4
Anahtar Kelime