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Volumn 9, Issue , 2011, Pages 186-197

Design of control system of hydrogen and oxygen flow rate for proton exchange membrane fuel cell using fuzzy logic controller

Author keywords

Control system; Design of control; Flow rate; Fuzzy logic controller; PEMFC

Indexed keywords


EID: 82555168443     PISSN: 18766102     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1016/j.egypro.2011.09.020     Document Type: Conference Paper
Times cited : (16)

References (6)
  • 1
    • 4243158351 scopus 로고    scopus 로고
    • Fuzzy logic control of fuel cell for stand-alone and grid connection
    • September 3
    • ABHISHEK Sakhare, Asad Davari and Ali Feliachi: September 2004, Fuzzy logic control of fuel cell for stand-alone and grid connection. Journal of Power Sources, Volume 135, Issues 1-2, 3 pages 165-176.
    • (2004) Journal of Power Sources , vol.135 , Issue.1-2 , pp. 165-176
    • Abhishek, S.1    Davari, A.2    Feliachi, A.3
  • 2
    • 51649111972 scopus 로고    scopus 로고
    • Fuzzy logic control of a fuel cell/Battery/Ultra-capacitor hybrid vehicular power system
    • IEEE Sept. 2007
    • KISACIKOGLU, M.C.; Uzunoglu, M.; Alam, M.S: 2007, Fuzzy Logic Control of a Fuel Cell/Battery/Ultra-capacitor Hybrid Vehicular Power System. Vehicle Power and Propulsion Conference, VPPC 2007. IEEE Volume, Issue, 9-12 Sept. 2007 Page(s):591-596.
    • (2007) Vehicle Power and Propulsion Conference, VPPC 2007 , Issue.9-12 , pp. 591-596
    • Kisacikoglu, M.C.1    Uzunoglu, M.2    Alam, M.S.3
  • 3
    • 85030945582 scopus 로고    scopus 로고
    • http://suanpalm3.kmitnb.ac.th/teacher/phayung/powerpoint.asp?pno=1
  • 5
    • 84906704539 scopus 로고    scopus 로고
    • KATSUHIKO OGATA, 2007, Fourth Edition, Modern control engineering, University of Minnesota
    • KATSUHIKO OGATA, 2007, Fourth Edition, Modern control engineering, University of Minnesota.
  • 6
    • 0000938740 scopus 로고    scopus 로고
    • A learning process for fuzzy control rules using genetic algorithms
    • F. Herrera, M. Lozano, J.L. Verdegay, 100 (1998), A learning process for fuzzy control rules using genetic algorithms, Fuzzy Sets Syst, 143-158.
    • (1998) Fuzzy Sets Syst , vol.100 , pp. 143-158
    • Herrera, F.1    Lozano, M.2    Verdegay, J.L.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.