Robust adaptive neural network control for PEM fuel cell

Abbaspour, Alireza; Khalilnejad, Arash; Chen, Zheng

doi:10.1016/j.ijhydene.2016.09.075

Cited by 75 publications

(27 citation statements)

References 26 publications

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“…However, if it is installed with a connection to an external load with high voltage, it produces a current of I L . The considered model of the PV cell consists of a current source, a diode, and a series resistance which shows the internal resistance of the cells and the resistance of the connecting cells [37][38][39].…”

Section: Pv Modulementioning

confidence: 99%

Optimal design of hybrid wind/photovoltaic electrolyzer for maximum hydrogen production using imperialist competitive algorithm

Khalilnejad

Sundararajan

2017

J. Mod. Power Syst. Clean Energy

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The rising demand for high-density power storage systems such as hydrogen, combined with renewable power production systems, has led to the design of optimal power production and storage systems. In this study, a wind and photovoltaic (PV) hybrid electrolyzer system, which maximizes the hydrogen production for a diurnal operation of the system, is designed and simulated. The operation of the system is optimized using imperialist competitive algorithm (ICA). The objective of this optimization is to combine the PV array and wind turbine (WT) in a way that, for minimized average excess power generation, maximum hydrogen would be produced. Actual meteorological data of Miami is used for simulations. A framework of the advanced alkaline electrolyzer with the detailed electrochemical model is used. This optimal system comprises a PV module with a power of 7.9 kW and a WT module with a power of 11 kW. The rate of hydrogen production is 0.0192 mol/s; an average Faraday efficiency of 86.9 percent. The electrolyzer works with 53.7 percent of its nominal power. The availability of the wind for longer periods of time reflects the greater contribution of WT in comparison with PV towards the overall throughput of the system.

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Section: Pv Modulementioning

confidence: 99%

Optimal design of hybrid wind/photovoltaic electrolyzer for maximum hydrogen production using imperialist competitive algorithm

Khalilnejad

Sundararajan

2017

J. Mod. Power Syst. Clean Energy

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“…Many linear and nonlinear control strategies have been proposed for the PEMFCs [10][11][12][13][14][15][16][17][18][19][20][21]. A robust proportional-integral controller was designed for the air supply system of the FC by Reine Talj et al [11].…”

Section: Introductionmentioning

confidence: 99%

Control of PEM Fuel Cell Systems Using Interval Type‐2 Fuzzy PID Approach

Aliasghary

2018

Fuel Cells

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In this study, an interval type‐2 fuzzy proportional–integral–derivative (IT2FPID) controller is designed to be used in the air flow regulation of polymer electrolyte membrane fuel cell (PEMFC) systems. The proposed controller is able to handle the effect of external disturbances and fix the oxygen excess ratio at an appropriate set‐point. Three crisp singletons for the output and two interval type‐2 membership functions for the inputs are defined for the suggested controller. Two conventional controllers including type‐1 fuzzy PID (T1FPID) and ordinary proportional–integral–derivative (PID) are also investigated to evaluate the performance and efficiency of this technique. The results of various simulations indicate that the IT2FPID controller has a better performance and transient response compared to the other approaches.

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“…The improvement of the efficiency of the tracking of the MPPT using new control strategies is the easiest and not expensive compared to the effort due for the improvement of the conversion ratio of fuel cells or the efficiency of the converter. This push to a massive development of MPPT algorithms over the last decade: perturbation and observation (P&O) , incremental conductance (IC) , , extremum seeking control (ESC) , hysteresis controller (HC) , fractional order filter (FO) , sliding mode controller (SMC) , , neural network (NN) , fuzzy logic controller (FLC) , , particle swarm optimization (PSO) , eagle strategy (ES) , water cycle algorithm (WCA) , etc.…”

Section: Introductionmentioning

confidence: 99%

Variable Step Size IC MPPT Controller for PEMFC Power System Improving Static and Dynamic Performances

Harrag

Messalti

2017

Fuel Cells

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In this paper, a variable step size IC MPPT controller for the proton exchange membrane fuel cell (PEMFC) power system is proposed. The efficiency of the proposed algorithm has been studied successfully using a 7 kW PEMFC fed by DC‐DC boost converter derived using the proposed MPPT controller implemented under Matlab/Simulink environment. Comparison results obtained using both implemented fixed and variable step size IC MPPTs on two scenarios test considering temperature and hydrogen pressure variation show that the proposed variable step size IC MPPT outperforms the conventional fixed step size in static and dynamic performances.

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Robust adaptive neural network control for PEM fuel cell

Cited by 75 publications

References 26 publications

Optimal design of hybrid wind/photovoltaic electrolyzer for maximum hydrogen production using imperialist competitive algorithm

Optimal design of hybrid wind/photovoltaic electrolyzer for maximum hydrogen production using imperialist competitive algorithm

Control of PEM Fuel Cell Systems Using Interval Type‐2 Fuzzy PID Approach

Variable Step Size IC MPPT Controller for PEMFC Power System Improving Static and Dynamic Performances

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