Observer Based Nonlinear State Feedback Control of PEM Fuel Cell Systems

Kim, Eung-Seok

doi:10.5370/jeet.2012.7.6.891

Cited by 7 publications

(7 citation statements)

References 6 publications

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“…Some available results are recalled: from a linearised model, Pukrushpan et al [11] have proposed an approach based on enhanced Kalman filter to estimate all states of the PEMFC system. In [12], a nonlinear observer is designed by employing the derivatives of the pressures in both cathode and anode. More recently, the authors of [13,14] have presented a finite-time high-order sliding mode (HOSM) observer to estimate some key states in the PEMFC air-supply subsystem.…”

Section: Introductionmentioning

confidence: 99%

Algebraic observer‐based output‐feedback controller design for a PEM fuel cell air‐supply subsystem

Baroud

Gherraf

Benalia

et al. 2018

IET Renewable Power Generation

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In this paper, an algebraic-observer-based output-feedback controller is proposed for a Proton Exchange Membrane Fuel Cell (PEMFC) air-supply subsystem, based on both algebraic differentiation and sliding-mode control approaches. The goal of the design is to regulate the Oxygen Excess Ratio (OER) towards its optimal setpoint value in the PEMFC air-supply subsystem. Hence, an algebraic estimation approach is used to reconstruct the OER based on a robust differentiation method. The proposed observer is known by its finite-time convergence and low computational time compared to other observers presented in the literature. Then, a twisting controller is designed to control the OER by manipulating the compressor motor voltage. The parameters of the twisting controller have been calculated by means of an off-line tuning procedure. The performance of the proposed algebraic-observer-based output-feedback controller is analyzed through simulations for different stack-current changes, for parameter uncertainties and for noise rejection. Results show that the proposed approach properly estimates and regulates the OER in finite-time.IET Research Journals, pp. 1-8 c The Institution of Engineering and Technology 2015 the OER in Section 4. Different simulation scenarios, including performance results, parameter uncertainties, noise in measurement and comparison study, are discussed in Section 5. Finally, the major conclusions are presented in Section 6.

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Section: Introductionmentioning

confidence: 99%

Algebraic observer‐based output‐feedback controller design for a PEM fuel cell air‐supply subsystem

Baroud

Gherraf

Benalia

et al. 2018

IET Renewable Power Generation

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“…As there is still no standardization in different existing types of FCs, a functional model would be easier to adapt to any particular case instead of experimental approaches that require extensive training data. Also model based approaches [11], [12] have the potential to give fast response to time variations, therefore being very efficient for on-line diagnosis [13] as well as control [14]. Of course one has to mention the greatest inconvenient of model based techniques that is the difficulty in parameter estimation.…”

Section: Introductionmentioning

confidence: 99%

Embedded P.E.M. Fuel Cell Stack Nonlinear Observer by means of a Takagi-Sugeno Approach

Olteanu¹,

Aïtouche²,

Belkoura³

et al. 2015

SIC

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This paper deals with the design of a nonlinear state observer for parameters within the gas transfer part of a fuel cell stack and its implementation on a small-scale embedded system. The fuel cell stack is of a proton exchange membrane type, with parameters specific to vehicle applications. The observer is afterwards applied on a small scale embedded board. In order to validate the embedded observer, a real time hardware in the loop testing is done using a cosimulation between the embedded observer and the professional simulation software AMESim, linked with Simulink on a Windows platform. To act upon the nonlinear character of the system, a Takagi-Sugeno approach is implemented, where the premise variables are unmeasurable. The procedure applies Lyapunov stability theory and by demanding bounded stability instead of asymptotic one, the algorithm manages to eliminate the need for Lipschitz constants.

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“…(9) can be reconstructed in finite time by applying the observers in Eqs. (18) and (22), provided that the correction term v i is designed in such a way that error vectorε will be steered to 0 in finite time. 2…”

Section: Starting Points Minimized Valuementioning

confidence: 99%

“…This problem may be solved using Luenberger observers in state estimation [9,16]. In [17,18], a first-order sliding-mode observer was designed to estimate the states of a PEMFC system. The sliding-mode observer was based on a nonlinear model since it is robust to mismatched modeling errors and uncertainties.…”

Section: Introductionmentioning

confidence: 99%

Control of oxygen excess ratio in a PEM fuel cell system using high-order sliding-mode controller and observer

Rakhtala¹,

Noei²,

Ghaderi³

et al. 2015

Turk J Elec Eng & Comp Sci

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Abstract:The main objective of this manuscript is to design a high-order sliding-mode observer to provide finite time estimation of unmeasurable states (x 4 : oxygen mass, x 5 : nitrogen mass) together with the oxygen excess ratio (ratio of the input oxygen flow to the reacted oxygen flow in the cathode). This is done by applying second-order sliding modes through either super twisting or suboptimal controllers to control the proton exchange membrane fuel cell's breathing.The estimated oxygen excess ratio is controlled in a closed-loop system using 2 distinct sliding-mode approaches: a cascaded super twisting controller and a single-loop suboptimal structure. Simulation results are presented to make a quantitative comparison between the cascade and the single-loop configuration. The results verify that the cascade provides accurate reference tracking while the single-loop presents faster convergence.

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Observer Based Nonlinear State Feedback Control of PEM Fuel Cell Systems

Cited by 7 publications

References 6 publications

Algebraic observer‐based output‐feedback controller design for a PEM fuel cell air‐supply subsystem

Algebraic observer‐based output‐feedback controller design for a PEM fuel cell air‐supply subsystem

Embedded P.E.M. Fuel Cell Stack Nonlinear Observer by means of a Takagi-Sugeno Approach

Control of oxygen excess ratio in a PEM fuel cell system using high-order sliding-mode controller and observer

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