A reduced-order model and a higher-order sliding-mode control of the air supply system of a proton-exchange-membrane fuel cell with experimental validation

2009 ◽  
Author(s):  
Reine Talj ◽  
D. Hissel ◽  
R. Ortega ◽  
M. Becherif ◽  
M. Hilairet
Keyword(s):  
Proton Exchange Membrane ◽  
Experimental Validation ◽  
Sliding Mode ◽  
Supply System ◽  
Proton Exchange ◽  
Reduced Order Model ◽  
Order Model ◽  
Reduced Order ◽  
Air Supply ◽  
Exchange Membrane

Control-oriented LPV Modeling for the Air Supply System of Proton Exchange Membrane Fuel Cells

Fuel Cells ◽  
2018 ◽  
Vol 18 (4) ◽  
pp. 433-440 ◽  
Author(s):  
F. X. Chen ◽  
J. R. Jiao ◽  
S. G. Liu ◽  
Y. Yu ◽  
S. C. Xu
Keyword(s):  
Fuel Cells ◽  
Proton Exchange Membrane ◽  
Supply System ◽  
Proton Exchange ◽  
Air Supply ◽  
Exchange Membrane

Data-driven reconstruction of interpretable model for air supply system of proton exchange membrane fuel cell

2021 ◽  
Vol 299 ◽  
pp. 117266
Author(s):  
Zhihua Deng ◽  
Qihong Chen ◽  
Liyan Zhang ◽  
Keliang Zhou ◽  
Yi Zong ◽  
...  
Keyword(s):  
Fuel Cell ◽  
Proton Exchange Membrane ◽  
Supply System ◽  
Proton Exchange ◽  
Data Driven ◽  
Air Supply ◽  
Interpretable Model ◽  
Exchange Membrane

Dynamic Modeling of the Air Supply System for PEMFC Stack

2012 ◽  
Vol 512-515 ◽  
pp. 1371-1375
Author(s):  
Chun Hua Li ◽  
Xin Jian Zhu ◽  
Qing Jun Zeng ◽  
Yun Long Wang
Keyword(s):  
Proton Exchange Membrane ◽  
Supply System ◽  
Proton Exchange ◽  
Air Supply ◽  
Performance Map ◽  
Fuzzy Neural ◽  
Compressor Performance ◽  
Strategy Design ◽  
Exchange Membrane ◽  
Pemfc Cathode

The dynamic model of the air supply system for a proton exchange membrane fuel cell (PEMFC) stack is developed in this paper. The PEMFC cathode/anode, and air supply system including a compressor, a motor, and a supply manifold(SM) are modeled; the compressor performance map is identified based on a fuzzy neural network (FNN). The PEMFC air supply system is simulated by using Matlab environment. The simulation results show that the proposed models can effectively represent the dynamic characteristics of the system components, and lay the foundation for the control strategy design of the PEMFC air supply flow.

scholarly journals Event-triggered Discrete-time Sliding Mode Control for High-order Systems via Reduced-order Model Approach

2020 ◽  
Vol 53 (2) ◽  
pp. 6207-6212
Author(s):  
Kiran Kumari ◽  
Bijnan Bandyopadhyay ◽  
Johann Reger ◽  
Abhisek K. Behera
Keyword(s):  
Sliding Mode Control ◽  
Discrete Time ◽  
Sliding Mode ◽  
High Order ◽  
Reduced Order Model ◽  
Order Model ◽  
Reduced Order ◽  
Mode Control ◽  
Event Triggered ◽  
Model Approach

scholarly journals Design of Incremental Conductance Sliding Mode MPPT Control Applied by Integrated Photovoltaic and Proton Exchange Membrane Fuel Cell System under Various Operating Conditions for BLDC Motor

2015 ◽  
Vol 2015 ◽  
pp. 1-14 ◽  
Author(s):  
Jehun Hahm ◽  
Hyoseok Kang ◽  
Jaeho Baek ◽  
Heejin Lee ◽  
Mignon Park
Keyword(s):  
Fuel Cell ◽  
Proton Exchange Membrane ◽  
Sliding Mode ◽  
Proton Exchange ◽  
Operating Conditions ◽  
System Control ◽  
Atmospheric Conditions ◽  
Pv Array ◽  
Incremental Conductance ◽  
Exchange Membrane

This paper proposes an integrated photovoltaic (PV) and proton exchange membrane fuel cell (PEMFC) system for continuous energy harvesting under various operating conditions for use with a brushless DC motor. The proposed scheme is based on the incremental conductance (IncCond) algorithm combined with the sliding mode technique. Under changing atmospheric conditions, the energy conversion efficiency of a PV array is very low, leading to significant power losses. Consequently, increasing efficiency by means of maximum power point tracking (MPPT) is particularly important. To manage such a hybrid system, control strategies need to be established to achieve the aim of the distributed system. Firstly, a Matlab/Simulink based model of the PV and PEMFC is developed and validated, as well as the incremental conductance sliding (ICS) MPPT technique; then, different MPPT algorithms are employed to control the PV array under nonuniform temperature and insolation conditions, to study these algorithms effectiveness under various operating conditions. Conventional techniques are easy to implement but produce oscillations at MPP. Compared to these techniques, the proposed technique is more efficient; it produces less oscillation at MPP in the steady state and provides more precise tracking.

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