2010 IEEE Energy Conversion Congress and Exposition 2010
DOI: 10.1109/ecce.2010.5618434
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Design and experimental validation of a robust control method for a hybrid Fuel Cell power generation system

Abstract: ITacI-In this article a robust control metbodology is proposed Cor an hybrid power generation structure composed by a Fuel Cell and a Super-capacitor. The control strategy and the desired performances are written as inequality constroints so they can be solved using Linear Matrix Inequalities methods. Using this metbod a multivariable PI contrul with 1t~ performance is computed, whieh is used to control the power comerters associated with the Fnel Cell and the Super-capacitor respeetlvely. The control performa… Show more

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Cited by 5 publications
(3 citation statements)
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“…Concentration over voltage, this voltages drop results from the change in concentration of the reactants at the surface of the electrodes as the fuel is used and can be expressed as [2]:…”
Section: Fuel Cell System Modelmentioning
confidence: 99%
See 1 more Smart Citation
“…Concentration over voltage, this voltages drop results from the change in concentration of the reactants at the surface of the electrodes as the fuel is used and can be expressed as [2]:…”
Section: Fuel Cell System Modelmentioning
confidence: 99%
“…Chosen for their high power density, high efficiency, low noise and environment friendly [1,2], fuel cells is considered as a promising solution for embedded applications (city buses, submarines, tram, or locomotives) [3,4]. Meanwhile, as the development of DG (Distributed Generation), combined heat and power system dominated by fuel cell [5]; complementary power generation system [6] consisting of fuel cell, wind energy and solar energy, and hybrid power system [7] consisting of fuel cell and gas turbine are derived.…”
Section: Introductionmentioning
confidence: 99%
“…The second weighting function W perf2 (s) is designed for the microgrid frequency f grid so that to ensure a response time around t r2 = 1 sec (ω b2 = 2.3 rad/s). The gain margins of the sensitivity functions are limited to 2 to gain in robustness [17], [27]. For the control weighting functions, a limit of 0.9 is considered for the chopper duty ratio α c and the inverter switching functions β d , β q .…”
Section: A Control Architecture and Performance Specificationmentioning
confidence: 99%