Open AccessExtension Sliding Mode Controller for Maximum Power Point Tracking of Hydrogen Fuel Cells
Author(s) -
Menghui Wang,
HerTerng Yau,
Tai-Yuan Wang
Publication year - 2013
Publication title -
abstract and applied analysis
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.228
H-Index - 56
eISSN - 1687-0409
pISSN - 1085-3375
DOI - 10.1155/2013/371064
Subject(s) - control theory (sociology) , controller (irrigation) , power (physics) , maximum power point tracking , operating point , nonlinear system , mathematics , maximum power principle , mode (computer interface) , transient (computer programming) , sliding mode control , computer science , engineering , control (management) , electronic engineering , physics , quantum mechanics , inverter , artificial intelligence , agronomy , biology , operating system
Fuel cells (FCs) are characterized by low pollution, low noise, and high efficiency. However, the voltage-current response of an FC is nonlinear, with the result that there exists just one operating point which maximizes the output power given a particular set of operating conditions. Accordingly, the present study proposes a maximum power point tracking (MPPT) control scheme based on extension theory to stabilize the output of an FC at the point of maximum power. The simulation results confirm the ability of the controller to stabilize the output power at the maximum power point despite sudden changes in the temperature, hydrogen pressure, and membrane water content. Moreover, the transient response time of the proposed controller is shown to be faster than that of existing sliding mode (SM) and extremum seeking (ES) controllers
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