DocumentCode :
665789
Title :
An adaptive nonlinear MPPT controller for stand alone marine current energy conversion systems
Author :
Khan, Noel ; Rabbi, S.F. ; Hinchey, M.J. ; Rahman, Md Arifur
Author_Institution :
Fac. of Eng., Memorial Univ. of Newfoundland, St. John´s, NL, Canada
fYear :
2013
fDate :
10-13 Nov. 2013
Firstpage :
406
Lastpage :
411
Abstract :
This paper presents an online estimation based adaptive nonlinear maximum power point tracking (MPPT) controller for a stand-alone permanent magnet synchronous generator (PMSG) based marine current energy conversion system. The proposed control strategy requires no flow sensor and also does not need the parameters of a PMSG. A nonlinear control algorithm for the load side converter to extract maximum power has been proposed to adequately deal with the inherent nonlinearities in the energy conversion system. A Lyapunov based online estimation approach is used to continually estimate the time varying input voltage and the output load resistance of the converter. Detailed simulation results of the proposed nonlinear controller namely adaptive backstepping are presented and fully analyzed. Simulation results demonstrate that the proposed nonlinear controller can incessantly extract maximum power from the ocean current at various flow speeds.
Keywords :
marine power systems; maximum power point trackers; power generation control; wave power generation; Lyapunov based online estimation; adaptive backstepping; adaptive nonlinear MPPT controller; nonlinear control algorithm; nonlinear controller; output load resistance; stand alone marine current energy conversion systems; stand-alone permanent magnet synchronous generator; Backstepping; Blades; Energy conversion; Generators; Torque; Wind turbines; Lyapunov methods; dc-dc power converters; energy conversion; marine turbine; maximum power point trackers; nonlinear control systems; parameter estimation; permanent magnet machines;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Industrial Electronics Society, IECON 2013 - 39th Annual Conference of the IEEE
Conference_Location :
Vienna
ISSN :
1553-572X
Type :
conf
DOI :
10.1109/IECON.2013.6699170
Filename :
6699170
Link To Document :
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