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