Robust high order sliding mode control for performance improvement of PEM fuel cell power systems

Derbeli, Mohamed; Barambones, Óscar; Farhat, Maissa; Ramos-Hernanz, José Antonio; Sbita, Lassaâd

doi:10.1016/j.ijhydene.2020.07.172

Cited by 51 publications

(27 citation statements)

References 50 publications

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“…The application of the sliding mode control (SMC) for the PEMFC system was proposed by various research groups/researchers [3,20,21]. To counteract the chattering phenomenon of the SMC, integral fast terminal sliding mode control (IFTSMC), backstepping sliding mode control (BSMC), high-order sliding mode based on twisting (TA), super-twisting (STA), prescribed convergence law (PCL) and quasi continue (QC) have been, respectively, proposed by [21][22][23][24][25][26]. Results have demonstrated that high chattering reductions such as 84% and 91% via the application of the QC and STA can be achieved using the proposed algorithms.…”

Section: Introductionmentioning

confidence: 99%

High-Performance Tracking for Proton Exchange Membrane Fuel Cell System PEMFC Using Model Predictive Control

et al. 2021

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Proton exchange membrane (PEM) fuel cell has recently attracted broad attention from many researchers due to its cleanliness, high efficiency and soundless operation. The obtention of high-performance output characteristics is required to overcome the market restrictions of the PEMFC technologies. Therefore, the main aim of this work is to maintain the system operating point at an adequate and efficient power stage with high-performance tracking. To this end, a model predictive control (MPC) based on a global minimum cost function for a two-step horizon was designed and implemented in a boost converter integrated with a fuel cell system. An experimental comparative study has been investigated between the MPC and a PI controller to reveal the merits of the proposed technique. Comparative results have indicated that a reduction of 15.65% and 86.9%, respectively, in the overshoot and response time could be achieved using the suggested control structure.

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Section: Introductionmentioning

confidence: 99%

High-Performance Tracking for Proton Exchange Membrane Fuel Cell System PEMFC Using Model Predictive Control

et al. 2021

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“…This technique is well known for its usage in Maximum Power Point Tracking (MPPT) control [48,49], active vehicle suspension [50], but it is also employed for high performance guidance in aircrafts [51] as in PEAs [52][53][54]. The Super-Twisting Algorithm (STA) belongs to the group of HOSMC and it is well known for its robustness and chattering decrease due to the inclusion of an integral term [55]. Although the implementation of STA is simple, as any other SMC controller, it has a discontinuous and a continuous term; traditionally, for the design of the latter mentioned, the model knowledge is required to construct the control law [56].…”

Section: Introductionmentioning

confidence: 99%

High-Performance Tracking for Piezoelectric Actuators Using Super-Twisting Algorithm Based on Artificial Neural Networks

et al. 2021

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Piezoelectric actuators (PEA) are frequently employed in applications where nano-Micr-odisplacement is required because of their high-precision performance. However, the positioning is affected substantially by the hysteresis which resembles in an nonlinear effect. In addition, hysteresis mathematical models own deficiencies that can influence on the reference following performance. The objective of this study was to enhance the tracking accuracy of a commercial PEA stack actuator with the implementation of a novel approach which consists in the use of a Super-Twisting Algorithm (STA) combined with artificial neural networks (ANN). A Lyapunov stability proof is bestowed to explain the theoretical solution. Experimental results of the proposed method were compared with a proportional-integral-derivative (PID) controller. The outcomes in a real PEA reported that the novel structure is stable as it was proved theoretically, and the experiments provided a significant error reduction in contrast with the PID.

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“…Authors of [15,16] used conventional sliding mode control (SMC) aiming to overcome the drawbacks of the classical linear PI controller; their proposed method showed acceptable results in terms of robustness against sharp load variation, but since the SMC was used, the chattering phenomenon was present during the tests. However, as a solution for the chattering phenomenon, authors of [17][18][19] have, respectively, proposed quasi-continuous, twisting and super twisting algorithms. Results have demonstrated that chattering reduction of 91%, 82% and 84% can be achieved via the proposed algorithms.…”

Section: Introductionmentioning

confidence: 99%

An Efficient and Robust Current Control for Polymer Electrolyte Membrane Fuel Cell Power System

et al. 2021

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Taking into account the restricted ability of polymer electrolyte membrane fuel cell (PEMFC) to generate energy, it is compulsory to present techniques, in which an efficient operating power can be achieved. In many applications, the PEMFC is usually coupled with a high step-up DC-DC power converter which not only provides efficient power conversion, but also offers highly regulated output voltage. Due to the no-linearity of the PEMFC power systems, the application of conventional linear controllers such as proportional-integral (PI) did not succeed to drive the system to operate precisely in an adequate power point. Therefore, this paper proposes a robust non-linear integral fast terminal sliding mode control (IFTSMC) aiming to improve the power quality generated by the PEMFC; besides, a digital filter is designed and implemented to smooth the signals from the chattering effect of the IFTSMC. The stability proof of the IFTSMC is demonstrated via Lyapunov analysis. The proposed control scheme is designed for an experimental closed-loop system which consisted of a Heliocentric hy-Expert™ FC-50W, MicroLabBox dSPACE DS1202, step-up DC-DC power converter and programmable DC power supplies. Comparative results with the PI controller indicate that a reduction of 96% in the response time could be achieved using the suggested algorithm; where, up to more than 91% of the chattering phenomenon could be eliminated via the application of the digital filter.

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Robust high order sliding mode control for performance improvement of PEM fuel cell power systems

Cited by 51 publications

References 50 publications

High-Performance Tracking for Proton Exchange Membrane Fuel Cell System PEMFC Using Model Predictive Control

High-Performance Tracking for Proton Exchange Membrane Fuel Cell System PEMFC Using Model Predictive Control

High-Performance Tracking for Piezoelectric Actuators Using Super-Twisting Algorithm Based on Artificial Neural Networks

An Efficient and Robust Current Control for Polymer Electrolyte Membrane Fuel Cell Power System

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