Robust control design for air breathing proton exchange membrane fuel cell system via variable gain second‐order sliding mode

The nonlinear and time‐dependent characteristic and unknown modeling uncertainty of proton exchange membrane fuel cell (PEMFC) such as complex electro‐chemical, thermal, and fluid mechanic phenomena make its controller design quite challenging. In this paper, a controller based on a super twisting a...

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Vydané v:Energy science & engineering Ročník 6; číslo 3; s. 126 - 143
Hlavní autori: Mirrashid, Naghmeh, Rakhtala, Seyed Mehdi, Ghanbari, Mahmood
Médium: Journal Article
Jazyk:English
Vydavateľské údaje: London John Wiley & Sons, Inc 01.06.2018
Predmet:
Algorithms
Automobile industry
Breathing
Control systems design
Controllers
Disturbances
Fuel cells
Fuel technology
Lyapunov stability
Organic chemistry
oxygen excess ratio
PEM fuel cell
Proton exchange membrane fuel cells
Robust control
second‐order sliding mode
Sliding mode control
Stability analysis
Time dependence
Twisting
Uncertainty
Variable gain
variable gain super twisting algorithm
ISSN:2050-0505, 2050-0505
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Shrnutí:The nonlinear and time‐dependent characteristic and unknown modeling uncertainty of proton exchange membrane fuel cell (PEMFC) such as complex electro‐chemical, thermal, and fluid mechanic phenomena make its controller design quite challenging. In this paper, a controller based on a super twisting algorithm (STA) with variable gains is proposed to control the air breathing system of PEMFC. The strategy includes regulating the oxygen excess ratio (λO2) for preventing the stack oxygen starvation and maintaining optimum net power output in spite of external disturbances and model uncertainties. The proposed algorithm has the main advantages of the fixed gain STA, such as robustness against the disturbance and parametric uncertainties with the unknown boundary, chattering reduction, and finite time convergence. The Lyapunov analysis was proposed to assess the stability of the Variable Gain Super Twisting Algorithm (VGSTA). The results verified the effectiveness of the proposed controller with attaining robust regulation against uncertainties, disturbances, and noisy circumstance compared to fixed gain SOSM controllers. The novel adaptive STA control law is designed for a PEMFC as a severe nonlinear system with special features such as the robustness, relative simplicity, and finite convergence time as a new strategy for PEMFC system. The experimental noises and drift uncertainty terms/disturbances with unknown boundary for PEMFC nonlinear equations are rejected by the VGSTA. A controller based on Lyapunov theory is designed to assure uniform stability of a nonlinear system considering bounding functions for disturbances and uncertainties of a realistic PEMFC model. This proposed controller is explored have main advantages are summarized in following: (1) Robust regulation of the oxygen excess ratio to prolong the life span with chattering effect avoiding; (2) Raising transient performance features with finite convergence time; (3) More robustness to drift uncertain parameters and highly variation of load current with unknown boundary compared with the first‐order SM and ST with fixed gains; (4) Guaranteed extended range of operation, in spite of the severe nonlinearity of plant; (5) Simple controller implementation, resulting in low computational costs in real‐time environment.
Bibliografia:ObjectType-Article-1
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ISSN:2050-0505
2050-0505
DOI:10.1002/ese3.199