A global integral terminal sliding mode control based on a novel reaching law for a proton exchange membrane fuel cell system

Napole, Cristian; Derbeli, Mohamed; Barambones, Óscar

doi:10.1016/j.apenergy.2021.117473

Cited by 33 publications

(24 citation statements)

References 41 publications

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“…The mentioned features of FLC allows concluding that a main advantage of this approach is that a mathematical model is unnecessary for the control tuning since it can be based on trial and error made by the designer [78]. Disadvantages are dependant on the available computational resources since the requirements will be higher as long as the number of rules are higher [79]. An example of this is with adaptive neuro-fuzzy inference system (ANFIS) which is a fuzzy approach based on neural networks [80].…”

Section: Fuzzy Logic Controlmentioning

confidence: 99%

Maximum Power Point Tracking Techniques for Photovoltaic Panel: A Review and Experimental Applications

et al. 2021

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This article contains a review of essential control techniques for maximum power point tracking (MPPT) to be applied in photovoltaic (PV) panel systems. These devices are distinguished by their capability to transform solar energy into electricity without emissions. Nevertheless, the efficiency can be enhanced provided that a suitable MPPT algorithm is well designed to obtain the maximum performance. From the analyzed MPPT algorithms, four different types were chosen for an experimental evaluation over a commercial PV system linked to a boost converter. As the reference that corresponds to the maximum power is depended on the irradiation and temperature, an artificial neural network (ANN) was used as a reference generator where a high accuracy was achieved based on real data. This was used as a tool for the implementation of sliding mode controller (SMC), fuzzy logic controller (FLC) and model predictive control (MPC). The outcomes allowed different conclusions where each controller has different advantages and disadvantages depending on the various factors related to hardware and software.

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Section: Fuzzy Logic Controlmentioning

confidence: 99%

Maximum Power Point Tracking Techniques for Photovoltaic Panel: A Review and Experimental Applications

et al. 2021

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“…From (13), if c i and α i , i = 1, 2 are chosen as below (7) and as in (8), respectively, then the system states will converge to the equilibrium in finite time [47,49]. However, in the case in which mismatched disturbances exist, based on the equation set (12), one can obtain the below relationship: ..…”

Section: Problem Statementmentioning

confidence: 99%

“…Sliding mode control (SMC) is a popular control algorithm and possesses several desirable characteristics, such as design simplicity, ease of implementation, and robustness to external disturbances, model uncertainties, and parameter variations. Thus, SMC has received a significant amount of attention and is widely found in diverse practical applications, including robotics [1][2][3][4][5][6], electrical and mechanical systems [7][8][9][10][11][12], and aerospace engineering [13][14][15][16][17]. Nonetheless, the conventional SMC still exhibits several drawbacks, namely chattering, asymptotic convergence, and susceptibility to mismatched disturbances.…”

Section: Introductionmentioning

confidence: 99%

Disturbance Observer-Based Chattering-Attenuated Terminal Sliding Mode Control for Nonlinear Systems Subject to Matched and Mismatched Disturbances

2021

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This work presents a new disturbance observer-based chattering-attenuated terminal sliding mode control for a class of nonlinear systems in the presence of both mismatched and matched disturbances. A nonlinear disturbance observer is typically employed to accurately estimate mismatched disturbances. In this study, a terminal sliding mode control was designed, based on the disturbance estimation results, to counter the effects of disturbances and ultimately stabilize the target system. The utilization of a chattering-attenuated full-order terminal sliding mode structure satisfactorily resolves both chattering and singularity problems in controller design. It was shown by theoretical analyses that both the disturbance estimation error and the system state converge to the equilibrium point in finite time. Two simulation studies, namely a numerical example and an application to an electro hydrostatic actuator system, were conducted to examine the characteristics and to verify the effectiveness of the proposed algorithm.

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“…But still, this controller gives a slower response at a distant place from the origin and it terminates with an unbounded control signal due to singularities found. An integral TSMC (ITSMC) can improve the convergence time as well as enhance the chattering reduction stuff and the dynamics of the overall system as discussed in [29], [30].…”

Section: Introductionmentioning

confidence: 99%

Design of a Nonlinear Integral Terminal Sliding Mode Controller for a PEM Fuel Cell Based on a DC-DC Boost Converter

et al. 2022

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This paper proposes a robust nonlinear controller for a proton exchange membrane fuel cell coupled with a DC-DC boost converter. The key feature is to maintain the desired reference output voltage despite significant disturbances while improving transient stability. In order to do this, a nonlinear robust integral terminal sliding mode controller (ITSMC) is proposed, along with the derivation of the control law, explanation of the reachability analysis, and stability condition. An adapted integral sliding surface is used to capture the dynamics caused by variations in the input voltage and loads. In addition, a modified reaching law is proposed to guarantee the finite time convergence while reducing the chattering. Afterward, the Lyapunov control theory is employed to evaluate the DC-DC boost converter's large-signal stability while guaranteeing the resilience of the proposed controller. Finally, the applicability of the proposed controller is evaluated through comprehensive analyses on both the simulation platform and the real-time processor-inloop (PIL) platform under various operating conditions, such as the variation in load resistance, reference output voltage, etc. All of the results, when compared to an existing integral terminal sliding mode controller, indicate quick reference tracking capability with reduced overshoots and robustness against disturbances.INDEX TERMS Control Lyapunov function, integral terminal sliding mode controller, DC-DC boost converter, Fuel cell.

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A global integral terminal sliding mode control based on a novel reaching law for a proton exchange membrane fuel cell system

Cited by 33 publications

References 41 publications

Maximum Power Point Tracking Techniques for Photovoltaic Panel: A Review and Experimental Applications

Maximum Power Point Tracking Techniques for Photovoltaic Panel: A Review and Experimental Applications

Disturbance Observer-Based Chattering-Attenuated Terminal Sliding Mode Control for Nonlinear Systems Subject to Matched and Mismatched Disturbances

Design of a Nonlinear Integral Terminal Sliding Mode Controller for a PEM Fuel Cell Based on a DC-DC Boost Converter

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