Efficiency optimisation of an experimental PEM fuel cell system via Super Twisting control

Kunusch, Cristian; Puleston, Pablo Federico; Mayosky, M.A.; Davila, Alejandro

doi:10.1109/vss.2010.5544677

Cited by 12 publications

(15 citation statements)

References 11 publications

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“…Kunusch et al [7,27] used a second-order sliding mode strategy by super twisting algorithm to stabilize the system and prevent chattering phenomenon in PEMFC. The STA controller provides a smoother signal control than what offers a sliding mode.…”

Section: Introductionmentioning

confidence: 99%

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

Mirrashid

Rakhtala

Ghanbari³

2018

Energy Science & Engineering

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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 (λnormalO2) 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.

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Section: Introductionmentioning

confidence: 99%

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

Mirrashid

Rakhtala

Ghanbari³

2018

Energy Science & Engineering

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“…Though starvation can be avoided by excessive air supply in anticipation of potential power increase, it is not economically efficient owing to the increased parasitic power consumption depleted by the air compressor , . Hence, a control strategy to trade off power tracking and system efficiency during load variations is of significance . Because an optimal airflow rate, which prevents oxygen starvation and optimizes the system efficiency, corresponds to a certain power demand, the oxygen excess ratio is used to evaluate the explicit condition of air supply .…”

Section: Introductionmentioning

confidence: 99%

Control System Design of Power Tracking for PEM Fuel Cell Automotive Application

Chen

2017

Fuel Cells

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Owing to load variations, the power tracking of fuel cells in automotive applications is emphasized. We address the control strategies to meet varying power demands while optimizing system efficiency. Based on the control‐oriented proton exchange membrane fuel cell model, the relative gain array is analyzed to determine variable parings in control design. As the dynamics of two control variables are different, a cascade control architecture is adopted. A feedforward‐feedback composite control is used to achieve fast response and eliminate the stable error. To avoid oxygen starvation at power transients, an oxygen excess ratio constrained strategy is proposed to limit the load current if there is lack of reaction oxygen. A mixed‐sensitivity synthesis is applied to suppress parameter perturbation and improve system robustness. To further suppress the fluctuations of the oxygen excess ratio and achieve the maximum system efficiency, an oxygen excess ratio invariant strategy is developed, which coordinates load current with airflow. A comparative study is conducted, with two scenarios of power tracking and fuel cell degradation. The results show that the mixed‐sensitivity strategy has a fast response in power tracking and effective perturbation suppression performance, while the oxygen excess ratio invariant strategy maximizes the system efficiency.

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“…Until now, most of the works focused on PEMFC control have addressed the improvement of PEMFC efficiency [25] and durability [26] separately. The present paper proposes a global solution to tackle the efficiency and durability improvement of the PEMFC power system at the same time, using state-of-the-art nonlinear control and observation techniques.…”

Section: Introductionmentioning

confidence: 99%

Nonlinear predictive control for durability enhancement and efficiency improvement in a fuel cell power system

Luna

Jemeï

Yousfi-Steiner

et al. 2016

Journal of Power Sources

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In this work, a nonlinear model predictive control (NMPC) strategy is proposed to improve the efficiency and enhance the durability of a proton exchange membrane fuel cell (PEMFC) power system. The PEMFC controller is based on a distributed parameters model that describes the nonlinear dynamics of the system, considering spatial variations along the gas channels. Parasitic power from different system auxiliaries is considered, including the main parasitic losses which are those of the compressor. A nonlinear observer is implemented, based on the discretised model of the PEMFC, to estimate the internal states. This information is included in the cost function of the controller to enhance the durability of the system by means of avoiding local starvation and inappropriate water vapour concentrations. Simulation results are presented to show the performance of the proposed controller over a given case study in an automotive application (New European Driving Cycle). With the aim of representing the most relevant phenomena that affects the PEMFC voltage, the simulation model includes a two-phase water model and the effects of liquid water on the catalyst active area. The control model is a simplified version that does not consider two-phase water dynamics.

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Efficiency optimisation of an experimental PEM fuel cell system via Super Twisting control

Cited by 12 publications

References 11 publications

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

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

Control System Design of Power Tracking for PEM Fuel Cell Automotive Application

Nonlinear predictive control for durability enhancement and efficiency improvement in a fuel cell power system

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