Real-time implementation of a neural model-based self-tuning PID strategy for oxygen stoichiometry control in PEM fuel cell

Damour, Cédric; Benne, Michel; Lebreton, Carole; Deseure, Jonathan; Grondin-Pérez, Brigitte

doi:10.1016/j.ijhydene.2014.06.039

Cited by 60 publications

(22 citation statements)

References 13 publications

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“…It has been demonstrated that this controller shows high accuracy in setpoint tracking and good disturbances rejection capability [15]. In the present work, the tolerance and the flexibility of this controller to actuator faults are put to test.…”

Section: Pftcs Resultsmentioning

confidence: 91%

“…An optimization algorithm based on the linearized ANN and a General Minimum Variance law allows to estimate the most suitable PID parameters, that subsequently replace the previous values. Already applied to sugar crystallization process by Beyou et al [14], this strategy was then studied for oxygen excess ratio regulation on a FC system by Damour et al [15]. A complete description of the control strategy can be found in these works.…”

Section: Auto-tuning Pid Strategymentioning

confidence: 99%

See 1 more Smart Citation

Passive Fault Tolerant Control of PEMFC air feeding system

Lebreton¹,

Damour²,

Benne³

et al. 2016

International Journal of Hydrogen Energy

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Section: Pftcs Resultsmentioning

confidence: 91%

Section: Auto-tuning Pid Strategymentioning

confidence: 99%

Passive Fault Tolerant Control of PEMFC air feeding system

Lebreton¹,

Damour²,

Benne³

et al. 2016

International Journal of Hydrogen Energy

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“…Considering that the exchange current density at the anode is orders of magnitude larger tnan the one at the cathode [28], in this paper only the cathode activation and concentration losses are considered in Eq. (7). Henceforth, α is the cathode charge transfer coefficient and p O2 and p ref O2 are the oxygen pressure and oxygen pressure reference within the cathode catalyst layer (CCL) respectively.…”

Section: Electrochemical Modelmentioning

confidence: 99%

“…However, while some of the internal variables can be measured using the existing sensor technology, there are parts of the system that are inaccessible. Henceforth, dynamic fuel cell modelling [1,2,3,4], fuel cell model-based control [5,6,7] and model-based observation and identification of parameters [8,9,10,11] are compelling research topics in the field.…”

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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“…Adaptive controllers as self-tuning PID controller are investigated to regulate fuel cell oxygen excess ratio and are tested on-line in Ref. [8]. Flatness approach controllers are synthesized to regulate air supply [9] or membrane water content [10].…”

Section: Introductionmentioning

confidence: 99%

Fault Tolerant Control Strategy applied to PEMFC water management

Lebreton

Benne

Damour

et al. 2015

International Journal of Hydrogen Energy

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International audienceIn this paper, a Fault Tolerant Control Strategy (FTCS) dedicated to PEMFC (Polymer Electrolyte Membrane Fuel Cell) water management is implemented and validated online on a real PEMFC system. Thanks to coupling a Fault Detection and Isolation (FDI), an adjustable controller and a reconfiguration mechanism, FTCS allows addressing the important challenge of Fuel Cell (FC) reliability improvement. Only few works have already been conducted on FTCS applied to FC actuators faults, and none of them on FC water management faults. In this work, a neural-based diagnosis tool is computed online as FDI component and is coupled to a self-tuning PID controller. This diagnosis tool shows low computational time and high detection performance. The self-tuning PID controller shows robustness against noise measurements and model uncertainties. Its low computational cost makes it a suitable control method for real-time FTCS. Performed on a PEMFC system, the FTCS shows promising results on fault diagnosis and performance recovery

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Real-time implementation of a neural model-based self-tuning PID strategy for oxygen stoichiometry control in PEM fuel cell

Cited by 60 publications

References 13 publications

Passive Fault Tolerant Control of PEMFC air feeding system

Passive Fault Tolerant Control of PEMFC air feeding system

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

Fault Tolerant Control Strategy applied to PEMFC water management

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