This page has only limited features, please log in for full access.
In recent years, machine learning (ML) has received growing attention and it has been used in a wide range of applications. However, the ML application in renewable energies systems such as fuel cells is still limited. In this paper, a prognostic framework based on artificial neural network (ANN) is designed to predict the performance of proton exchange membrane (PEM) fuel cell system, aiming to investigate the effect of temperature and humidity on the stack characteristics and on tracking control improvements. A large part of the experimental database for various operating conditions has been used in the training operation to achieve an accurate model. Extensive tests with various ANN parameters such as number of neurons, number of hidden layers, selection of training dataset, etc., are performed to obtain the best fit in terms of prediction accuracy. The effect of temperature and humidity based on the predicted model are investigated and compared to the ones obtained from real-time experiments. The control design based on the predicted model is performed to keep the stack operating point at an adequate power stage with high-performance tracking. Experimental results have demonstrated the effectiveness of the proposed model for performance improvements of PEM fuel cell system.
Mohamed Derbeli; Cristian Napole; Oscar Barambones. Machine Learning Approach for Modeling and Control of a Commercial Heliocentris FC50 PEM Fuel Cell System. Mathematics 2021, 9, 2068 .
AMA StyleMohamed Derbeli, Cristian Napole, Oscar Barambones. Machine Learning Approach for Modeling and Control of a Commercial Heliocentris FC50 PEM Fuel Cell System. Mathematics. 2021; 9 (17):2068.
Chicago/Turabian StyleMohamed Derbeli; Cristian Napole; Oscar Barambones. 2021. "Machine Learning Approach for Modeling and Control of a Commercial Heliocentris FC50 PEM Fuel Cell System." Mathematics 9, no. 17: 2068.
In applications where high precision in micro- and nanopositioning is required, piezoelectric actuators (PEA) are an optimal micromechatronic choice. However, the accuracy of these devices is affected by a natural phenomenon called “hysteresis” that even increases the instability of the system. This anomaly can be counteracted through a material re-shape or by the design of a control strategy. Through this research, a novel control design has been developed; the structure contemplates an artificial neural network (ANN) feedforward to contract the non-linearities and a robust close-loop compensator to reduce the unmodelled dynamics, uncertainties and perturbations. The proposed scheme was embedded in a dSpace control platform with a Thorlabs PEA; the parameters were tuned online through specific metrics. The outcomes were compared with a conventional proportional-integral-derivative (PID) controller in terms of control signal and tracking performance. The experimental gathered results showed that the advanced proposed strategy had a superior accuracy and chattering reduction.
Cristian Napole; Oscar Barambones; Mohamed Derbeli; Isidro Calvo. Advanced Trajectory Control for Piezoelectric Actuators Based on Robust Control Combined with Artificial Neural Networks. Applied Sciences 2021, 11, 7390 .
AMA StyleCristian Napole, Oscar Barambones, Mohamed Derbeli, Isidro Calvo. Advanced Trajectory Control for Piezoelectric Actuators Based on Robust Control Combined with Artificial Neural Networks. Applied Sciences. 2021; 11 (16):7390.
Chicago/Turabian StyleCristian Napole; Oscar Barambones; Mohamed Derbeli; Isidro Calvo. 2021. "Advanced Trajectory Control for Piezoelectric Actuators Based on Robust Control Combined with Artificial Neural Networks." Applied Sciences 11, no. 16: 7390.
Photovoltaic (PV) panels are devices capable of converting solar energy to electrical without emissions generation, and can last for several years as there are no moving parts involved. The best performance can be achieved through maximum power point tracking (MPPT), which is challenging because it requires a sophisticated design, since the solar energy fluctuates throughout the day. The PV used in this research provided a low output voltage and, therefore, a boost-converter with a non-linear control law was implemented to reach a suitable end-used voltage. The main contribution of this research is a novel MPPT method based on a voltage reference estimator (VRE) combined with a fuzzy logic controller (FLC) in order to obtain the maximum power from the PV panel. This structure was implemented in a dSpace 1104 board for a commercial PV panel, PEIMAR SG340P. The scheme was compared with a conventional perturbation and observation (P&O) and with a sliding mode controller (SMC), where the outcomes demonstrated the superiority of the proposed advanced method.
Cristian Napole; Mohamed Derbeli; Oscar Barambones. Fuzzy Logic Approach for Maximum Power Point Tracking Implemented in a Real Time Photovoltaic System. Applied Sciences 2021, 11, 5927 .
AMA StyleCristian Napole, Mohamed Derbeli, Oscar Barambones. Fuzzy Logic Approach for Maximum Power Point Tracking Implemented in a Real Time Photovoltaic System. Applied Sciences. 2021; 11 (13):5927.
Chicago/Turabian StyleCristian Napole; Mohamed Derbeli; Oscar Barambones. 2021. "Fuzzy Logic Approach for Maximum Power Point Tracking Implemented in a Real Time Photovoltaic System." Applied Sciences 11, no. 13: 5927.
Oscillating water column (OWC) systems are water power generation plants that transform wave kinetic energy into electrical energy by a surrounded air column in a chamber that changes its pressure through the waves motion. The chamber pressure output spins a Wells turbine that is linked to a doubly fed induction generator (DFIG), flexible devices that adjust the turbine speed to increase the efficiency. However, there are different nonlinearities associated with these systems such as weather conditions, uncertainties, and turbine stalling phenomenon. In this research, a fuzzy logic controller (FLC) combined with an airflow reference generator (ARG) was designed and validated in a simulation environment to display the efficiency enhancement of an OWC system by the regulation of the turbine speed. Results show that the proposed framework not only increased the system output power, but the stalling is also avoided under different pressure profiles.
Cristian Napole; Oscar Barambones; Mohamed Derbeli; José Cortajarena; Isidro Calvo; Patxi Alkorta; Pablo Bustamante. Double Fed Induction Generator Control Design Based on a Fuzzy Logic Controller for an Oscillating Water Column System. Energies 2021, 14, 3499 .
AMA StyleCristian Napole, Oscar Barambones, Mohamed Derbeli, José Cortajarena, Isidro Calvo, Patxi Alkorta, Pablo Bustamante. Double Fed Induction Generator Control Design Based on a Fuzzy Logic Controller for an Oscillating Water Column System. Energies. 2021; 14 (12):3499.
Chicago/Turabian StyleCristian Napole; Oscar Barambones; Mohamed Derbeli; José Cortajarena; Isidro Calvo; Patxi Alkorta; Pablo Bustamante. 2021. "Double Fed Induction Generator Control Design Based on a Fuzzy Logic Controller for an Oscillating Water Column System." Energies 14, no. 12: 3499.
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
Mohamed Derbeli; Asma Charaabi; Oscar Barambones; Cristian Napole. High-Performance Tracking for Proton Exchange Membrane Fuel Cell System PEMFC Using Model Predictive Control. Mathematics 2021, 9, 1158 .
AMA StyleMohamed Derbeli, Asma Charaabi, Oscar Barambones, Cristian Napole. High-Performance Tracking for Proton Exchange Membrane Fuel Cell System PEMFC Using Model Predictive Control. Mathematics. 2021; 9 (11):1158.
Chicago/Turabian StyleMohamed Derbeli; Asma Charaabi; Oscar Barambones; Cristian Napole. 2021. "High-Performance Tracking for Proton Exchange Membrane Fuel Cell System PEMFC Using Model Predictive Control." Mathematics 9, no. 11: 1158.
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.
Mohammed Silaa; Mohamed Derbeli; Oscar Barambones; Cristian Napole; Ali Cheknane; José Gonzalez de Durana. An Efficient and Robust Current Control for Polymer Electrolyte Membrane Fuel Cell Power System. Sustainability 2021, 13, 2360 .
AMA StyleMohammed Silaa, Mohamed Derbeli, Oscar Barambones, Cristian Napole, Ali Cheknane, José Gonzalez de Durana. An Efficient and Robust Current Control for Polymer Electrolyte Membrane Fuel Cell Power System. Sustainability. 2021; 13 (4):2360.
Chicago/Turabian StyleMohammed Silaa; Mohamed Derbeli; Oscar Barambones; Cristian Napole; Ali Cheknane; José Gonzalez de Durana. 2021. "An Efficient and Robust Current Control for Polymer Electrolyte Membrane Fuel Cell Power System." Sustainability 13, no. 4: 2360.
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.
Cristian Napole; Oscar Barambones; Mohamed Derbeli; Isidro Calvo; Mohammed Silaa; Javier Velasco. High-Performance Tracking for Piezoelectric Actuators Using Super-Twisting Algorithm Based on Artificial Neural Networks. Mathematics 2021, 9, 244 .
AMA StyleCristian Napole, Oscar Barambones, Mohamed Derbeli, Isidro Calvo, Mohammed Silaa, Javier Velasco. High-Performance Tracking for Piezoelectric Actuators Using Super-Twisting Algorithm Based on Artificial Neural Networks. Mathematics. 2021; 9 (3):244.
Chicago/Turabian StyleCristian Napole; Oscar Barambones; Mohamed Derbeli; Isidro Calvo; Mohammed Silaa; Javier Velasco. 2021. "High-Performance Tracking for Piezoelectric Actuators Using Super-Twisting Algorithm Based on Artificial Neural Networks." Mathematics 9, no. 3: 244.
Piezoelectric actuators (PEA) are devices that are used for nano- microdisplacement due to their high precision, but one of the major issues is the non-linearity phenomena caused by the hysteresis effect, which diminishes the positioning performance. This study presents a novel control structure in order to reduce the hysteresis effect and increase the PEA performance by using a fuzzy logic control (FLC) combined with a Hammerstein–Wiener (HW) black-box mapping as a feedforward (FF) compensation. In this research, a proportional-integral-derivative (PID) was contrasted with an FLC. From this comparison, the most accurate was taken and tested with a complex structure with HW-FF to verify the accuracy with the increment of complexity. All of the structures were implemented in a dSpace platform to control a commercial Thorlabs PEA. The tests have shown that an FLC combined with HW was the most accurate, since the FF compensate the hysteresis and the FLC reduced the errors; the integral of the absolute error (IAE), the root-mean-square error (RMSE), and relative root-mean-square-error (RRMSE) for this case were reduced by several magnitude orders when compared to the feedback structures. As a conclusion, a complex structure with a novel combination of FLC and HW-FF provided an increment in the accuracy for a high-precision PEA.
Cristian Napole; Oscar Barambones; Isidro Calvo; Mohamed Derbeli; Mohammed Silaa; Javier Velasco. Advances in Tracking Control for Piezoelectric Actuators Using Fuzzy Logic and Hammerstein-Wiener Compensation. Mathematics 2020, 8, 2071 .
AMA StyleCristian Napole, Oscar Barambones, Isidro Calvo, Mohamed Derbeli, Mohammed Silaa, Javier Velasco. Advances in Tracking Control for Piezoelectric Actuators Using Fuzzy Logic and Hammerstein-Wiener Compensation. Mathematics. 2020; 8 (11):2071.
Chicago/Turabian StyleCristian Napole; Oscar Barambones; Isidro Calvo; Mohamed Derbeli; Mohammed Silaa; Javier Velasco. 2020. "Advances in Tracking Control for Piezoelectric Actuators Using Fuzzy Logic and Hammerstein-Wiener Compensation." Mathematics 8, no. 11: 2071.
Piezoelectric Actuators (PEAs) are devices that can support large actuation forces compared to their small size and are widely used in high-precision applications where micro- and nano-positioning are required. Nonetheless, these actuators have undeniable non-linearities, the well-known ones being creep, vibration dynamics, and hysteresis. The latter originate from a combination of mechanical strain and electric field action; as a consequence, these can affect the PEA tracking performance and even reach instability. The scope of this paper is to reduce the hysteresis effect using and comparing different control strategies like feedback with a Feed-Forward (FF) structure, which is often used to compensate the non-linearities and diminish the errors due to uncertainties. In this research, black-box models are analyzed; subsequently, a classic feedback control like Proportional-Integral (PI) control is combined with the FF methods proposed separately and embedded into a dSpace platform to perform real-time experiments. Results are analyzed in-depth in terms of the error, the control signal, and the Integral of the Absolute Error (IAE). It is found that with the proposed methods, the hysteresis effect could be diminished to acceptable ranges for high-precision tracking with a satisfactory control signal.
Cristian Napole; Oscar Barambones; Mohamed Derbeli; Mohammed Silaa; Isidro Calvo; Javier Velasco. Tracking Control for Piezoelectric Actuators with Advanced Feed-Forward Compensation Combined with PI Control. Proceedings of 1st International Electronic Conference on Actuator Technology: Materials, Devices and Applications 2020, 64, 29 .
AMA StyleCristian Napole, Oscar Barambones, Mohamed Derbeli, Mohammed Silaa, Isidro Calvo, Javier Velasco. Tracking Control for Piezoelectric Actuators with Advanced Feed-Forward Compensation Combined with PI Control. Proceedings of 1st International Electronic Conference on Actuator Technology: Materials, Devices and Applications. 2020; 64 (1):29.
Chicago/Turabian StyleCristian Napole; Oscar Barambones; Mohamed Derbeli; Mohammed Silaa; Isidro Calvo; Javier Velasco. 2020. "Tracking Control for Piezoelectric Actuators with Advanced Feed-Forward Compensation Combined with PI Control." Proceedings of 1st International Electronic Conference on Actuator Technology: Materials, Devices and Applications 64, no. 1: 29.
Polymer electrolyte membrane (PEM) fuel cells demonstrate potential as a comprehensive and general alternative to fossil fuel. They are also considered to be the energy source of the twenty-first century. However, fuel cell systems have non-linear output characteristics because of their input variations, which causes a significant loss in the overall system output. Thus, aiming to optimize their outputs, fuel cells are usually coupled with a controlled electronic actuator (DC-DC boost converter) that offers highly regulated output voltage. High-order sliding mode (HOSM) control has been effectively used for power electronic converters due to its high tracking accuracy, design simplicity, and robustness. Therefore, this paper proposes a novel maximum power point tracking (MPPT) method based on a combination of reference current estimator (RCE) and high-order prescribed convergence law (HO-PCL) for a PEM fuel cell power system. The proposed MPPT method is implemented practically on a hardware 360W FC-42/HLC evaluation kit. The obtained experimental results demonstrate the success of the proposed method in extracting the maximum power from the fuel cell with high tracking performance.
Mohamed Derbeli; Oscar Barambones; Mohammed Silaa; Cristian Napole. Real-Time Implementation of a New MPPT Control Method for a DC-DC Boost Converter Used in a PEM Fuel Cell Power System. Actuators 2020, 9, 105 .
AMA StyleMohamed Derbeli, Oscar Barambones, Mohammed Silaa, Cristian Napole. Real-Time Implementation of a New MPPT Control Method for a DC-DC Boost Converter Used in a PEM Fuel Cell Power System. Actuators. 2020; 9 (4):105.
Chicago/Turabian StyleMohamed Derbeli; Oscar Barambones; Mohammed Silaa; Cristian Napole. 2020. "Real-Time Implementation of a New MPPT Control Method for a DC-DC Boost Converter Used in a PEM Fuel Cell Power System." Actuators 9, no. 4: 105.
Fuel cells are considered as one of the most promising methods to produce electrical energy due to its high-efficiency level that reaches up to 50%, as well as high reliability with no polluting effects. However, scientists and researchers are interested more in proton exchange membrane fuel cells (PEMFCs). Thus, it has been considered as an ideal solution to many engineering applications. The main aim of this work is to keep the PEMFC operating at an adequate power point. To this end, conventional first-order sliding mode control (SMC) is used. However, the chattering phenomenon, which is caused by the SMC leads to a low control accuracy and heat loss in the energy circuits. In order to overcome these drawbacks, quasi-continuous high order sliding mode control (QC-HOSM) is proposed so as to improve the power quality and performance. The control stability is proven via the Lyapunov theory. The closed-loop system consists of a PEM fuel cell, a step-up converter, a DSPACE DS1104, SMC and QC-HOSM algorithms and a variable load resistance. In order to demonstrate the effectiveness of the proposed control scheme, experimental results are compared with the conventional SMC. The obtained results show that a chattering reduction of 84% could be achieved using the proposed method.
Mohammed Yousri Silaa; Mohamed Derbeli; Oscar Barambones; Ali Cheknane. Design and Implementation of High Order Sliding Mode Control for PEMFC Power System. Energies 2020, 13, 4317 .
AMA StyleMohammed Yousri Silaa, Mohamed Derbeli, Oscar Barambones, Ali Cheknane. Design and Implementation of High Order Sliding Mode Control for PEMFC Power System. Energies. 2020; 13 (17):4317.
Chicago/Turabian StyleMohammed Yousri Silaa; Mohamed Derbeli; Oscar Barambones; Ali Cheknane. 2020. "Design and Implementation of High Order Sliding Mode Control for PEMFC Power System." Energies 13, no. 17: 4317.
In this paper, an efficient algorithm is applied to high step-up power converter for performance improvement of Polymer Electrolyte Membrane (PEM) Fuel Cells. The action is done on forcing the fuel cell to operate at an adequate power point by tuning the power converter duty cycle. Due to inherent nonlinearities in the fuel cell dynamics and variations of the system parameters, a nonlinear sliding mode control (SMC) is suggested. However, the SMC causes severe changes in the PEM fuel cell output power, which lead to serious life-shortening and acute cell degradation. To overcome these shortcomings, a robust high order SMC based on “Twisting Algorithm” (HOSM-TA) is designed to improve the power quality and to keep the fuel cell operating at an adequate power point. The stability of both SMC and HOSM-TA is demonstrated via Lyapunov analysis. To demonstrate the effectiveness of the proposed HOSM-TA control scheme, a hardware setup is carried out on a real PEMFC stack. The implementation of the control system and the data acquisition are done on a dSPACE real-time digital control platform. It is deduced that the proposed HOSM-TA with high robustness, fast convergence (1s), and chattering reduction of 82.7% can be used to achieve great improvements in fuel cell power system.
Mohamed Derbeli; Oscar Barambones; Maissa Farhat; Jose Antonio Ramos-Hernanz; Lassaad Sbita. Robust high order sliding mode control for performance improvement of PEM fuel cell power systems. International Journal of Hydrogen Energy 2020, 45, 29222 -29234.
AMA StyleMohamed Derbeli, Oscar Barambones, Maissa Farhat, Jose Antonio Ramos-Hernanz, Lassaad Sbita. Robust high order sliding mode control for performance improvement of PEM fuel cell power systems. International Journal of Hydrogen Energy. 2020; 45 (53):29222-29234.
Chicago/Turabian StyleMohamed Derbeli; Oscar Barambones; Maissa Farhat; Jose Antonio Ramos-Hernanz; Lassaad Sbita. 2020. "Robust high order sliding mode control for performance improvement of PEM fuel cell power systems." International Journal of Hydrogen Energy 45, no. 53: 29222-29234.
Proton exchange membrane fuel cell (PEMFC) topology is becoming one of the most reliable and promising alternative resource of energy for a wide range of applications. However, efficiency improvement and lifespan extension are needed to overcome the limited market of fuel cell technologies. In this paper, an efficient approach based on a super-twising algorithm (STA) is proposed for the PEMFC system. The control objective is to lengthen the fuel cell lifetime by improving its power quality, as well as to keep the system operating at an optimal and efficient power point. The algorithm adjusts the PEMFC operating point to the optimum power by tuning the duty cycle of the boost converter. The closed-loop system includes the Heliocentris hy-ExpertTM PEMFC, DC–DC boost converter, DSPACE DS1104, dedicated PC, and a programmable electronic load. The practical implementation of the proposed STA on a hardware setup is performed using a dSPACE real-time digital control platform. The data acquisition and the control system are conducted together with the dSPACE 1104 controller board. To demonstrate the performance of the proposed algorithm, experimental results are compared with 1-order sliding mode control (SMC) under different load resistance. The obtained results demonstrate the validity of the proposed control scheme by ensuring at least 72% of the maximum power produced by PEMFC. In addition, it is proven that the STA ensures all the fundamental properties of the 1-order SMC, as well as providing chattering reduction of 91%, which will ameliorate as a consequence the fuel cell lifetime.
Mohamed Derbeli; Oscar Barambones; Jose Antonio Ramos-Hernanz; Lassaad Sbita. Real-Time Implementation of a Super Twisting Algorithm for PEM Fuel Cell Power System. Energies 2019, 12, 1594 .
AMA StyleMohamed Derbeli, Oscar Barambones, Jose Antonio Ramos-Hernanz, Lassaad Sbita. Real-Time Implementation of a Super Twisting Algorithm for PEM Fuel Cell Power System. Energies. 2019; 12 (9):1594.
Chicago/Turabian StyleMohamed Derbeli; Oscar Barambones; Jose Antonio Ramos-Hernanz; Lassaad Sbita. 2019. "Real-Time Implementation of a Super Twisting Algorithm for PEM Fuel Cell Power System." Energies 12, no. 9: 1594.
Fuel cells output power depends on the operating conditions, including cell temperature, membrane water content oxygen and hydrogen partial pressure. In each particular condition, only one unique operating point is existed for a fuel cell system with the maximum output. Therefore, a MPPT controller is needed to keep the fuel cell working at its maximum power point. In the other hand, in order to charge the battery through the dc-dc converter, an energy management control is needed. In this paper an efficient method based on sliding mode control (SMC) is proposed for the PEM fuel cell/lithium-ion battery bank storage system. The closed loop system includes the PEM fuel cell, boost and buck converters, lithium-ion battery bank and the SMC. The mathematical models for the components of the storage system are presented. These models are implemented in Matlab - Simulink™ environment. Simulations allow analyzing the dynamic performance and power management for the different components. In this system, an efficient energy management based on sliding mode control is proposed. The SMC determines the operating point of each component of the system in order to maximize the system efficiency. Simulation results validate the adequacy of the proposed energy management control for PEMFC/battery storage system. Thus, fast convergence, robustness and high tracking accuracy are achieved.
Mohamed Derbeli; Asma Charaabi; Oscar Barambones; Lassaad Sbita. Optimal Energy Control of a PEM Fuel Cell/Battery Storage System. 2019 10th International Renewable Energy Congress (IREC) 2019, 1 -5.
AMA StyleMohamed Derbeli, Asma Charaabi, Oscar Barambones, Lassaad Sbita. Optimal Energy Control of a PEM Fuel Cell/Battery Storage System. 2019 10th International Renewable Energy Congress (IREC). 2019; ():1-5.
Chicago/Turabian StyleMohamed Derbeli; Asma Charaabi; Oscar Barambones; Lassaad Sbita. 2019. "Optimal Energy Control of a PEM Fuel Cell/Battery Storage System." 2019 10th International Renewable Energy Congress (IREC) , no. : 1-5.
This paper presents a new maximum power point tracker (MPPT) method for Proton Exchange Membrane Fuel Cell (PEMFC) power system. The aim of this work is, extracting the maximum power from the fuel cell by acting on the DC/DC converter, and ensure an adequate robustness against load disturbances. Conventional controller (PI) and sliding mode control (SMC) are applied to the DC/DC boost converter. The model and the controllers are implemented in the MATLAB and SIMULINK environment. Simulation results indicate that the SMC offers fast and accurate converging to the MPP compared to the well-known PI controller.
Mohamed Derbeli; Oscar Barambones; Maissa Farhat; Lassaad Sbita. Efficiency Boosting for Proton Exchange Membrane Fuel Cell Power System Using New MPPT Method. 2019 10th International Renewable Energy Congress (IREC) 2019, 1 -4.
AMA StyleMohamed Derbeli, Oscar Barambones, Maissa Farhat, Lassaad Sbita. Efficiency Boosting for Proton Exchange Membrane Fuel Cell Power System Using New MPPT Method. 2019 10th International Renewable Energy Congress (IREC). 2019; ():1-4.
Chicago/Turabian StyleMohamed Derbeli; Oscar Barambones; Maissa Farhat; Lassaad Sbita. 2019. "Efficiency Boosting for Proton Exchange Membrane Fuel Cell Power System Using New MPPT Method." 2019 10th International Renewable Energy Congress (IREC) , no. : 1-4.
Taking into account the limited capability of proton exchange membrane fuel cells (PEMFCs) to produce energy, it is mandatory to provide solutions, in which an efficient power produced by PEMFCs can be attained. The maximum power point tracker (MPPT) plays a considerable role in the performance improvement of the PEMFCs. Conventional MPPT algorithms showed good performances due to their simplicity and easy implementation. However, oscillations around the maximum power point and inefficiency in the case of rapid change in operating conditions are their main drawbacks. To this end, a new MPPT scheme based on a current reference estimator is presented. The main goal of this work is to keep the PEMFCs functioning at an efficient power point. This goal is achieved using the backstepping technique, which drives the DC–DC boost converter inserted between the PEMFC and the load. The stability of the proposed algorithm is demonstrated by means of Lyapunov analysis. To verify the ability of the proposed method, an extensive simulation test is executed in a Matlab–Simulink T M environment. Compared with the well-known proportional–integral (PI) controller, results indicate that the proposed backstepping technique offers rapid and adequate converging to the operating power point.
Mohamed Derbeli; Oscar Barambones; Lassaad Sbita. A Robust Maximum Power Point Tracking Control Method for a PEM Fuel Cell Power System. Applied Sciences 2018, 8, 2449 .
AMA StyleMohamed Derbeli, Oscar Barambones, Lassaad Sbita. A Robust Maximum Power Point Tracking Control Method for a PEM Fuel Cell Power System. Applied Sciences. 2018; 8 (12):2449.
Chicago/Turabian StyleMohamed Derbeli; Oscar Barambones; Lassaad Sbita. 2018. "A Robust Maximum Power Point Tracking Control Method for a PEM Fuel Cell Power System." Applied Sciences 8, no. 12: 2449.
Proton Exchange Membrane Fuel Cell PEMFC is one of the most important power supplies. Extracting the maximum power from the PEMFC in the presence of load and inputs variations, has always attracted the attention of many researchers and many articles have been published on this issue, this paper presents modeling of a PEMFC with DC/DC boost converter. Subsequently, Fuzzy Logic controller FLC is proposed to keep the PEMFC working at its maximum power point MPP. The model and the controller are implemented in the MATLAB and SIMULINK environment and results are discussed.
Mohamed Derbeli; Imen Mrad; Lassaad Sbita; Oscar Barambones. PEM fuel cell efficiency boosting — Robust MPP tracking. 2018 9th International Renewable Energy Congress (IREC) 2018, 1 -5.
AMA StyleMohamed Derbeli, Imen Mrad, Lassaad Sbita, Oscar Barambones. PEM fuel cell efficiency boosting — Robust MPP tracking. 2018 9th International Renewable Energy Congress (IREC). 2018; ():1-5.
Chicago/Turabian StyleMohamed Derbeli; Imen Mrad; Lassaad Sbita; Oscar Barambones. 2018. "PEM fuel cell efficiency boosting — Robust MPP tracking." 2018 9th International Renewable Energy Congress (IREC) , no. : 1-5.
Proton Exchange Membrane fuel cell (PEMFC) is hybridized to share the current in a Hybrid Electrical Vehicle (HEV) power demand. The performance of the PEMFC model is analyzed for various loads connected nearer to the permanent magnet synchronous machine (PMSM), this latter is used to drive the air-compressor of a 6 kW fuel cell (EC) which will be beneficial for Electric Vehicle (EV) application. In order to obtain an efficient control for PMSM, particle swarm optimization (PSO) is used to optimise the parameters of the PI controller. The PEMFC model and the proposed algorithm is validated by simulation studies in MATLAB/Simulink environment and results are discussed.
Noureddine Boukrich; Mohamed Derbeli; Maissa Farhat; Lassaad Sbita. Smart auto-tuned regulators in electric vehicule PMSM drives. 2017 International Conference on Green Energy Conversion Systems (GECS) 2017, 1 -5.
AMA StyleNoureddine Boukrich, Mohamed Derbeli, Maissa Farhat, Lassaad Sbita. Smart auto-tuned regulators in electric vehicule PMSM drives. 2017 International Conference on Green Energy Conversion Systems (GECS). 2017; ():1-5.
Chicago/Turabian StyleNoureddine Boukrich; Mohamed Derbeli; Maissa Farhat; Lassaad Sbita. 2017. "Smart auto-tuned regulators in electric vehicule PMSM drives." 2017 International Conference on Green Energy Conversion Systems (GECS) , no. : 1-5.
The Proton Exchange Membrane Fuel Cell (PEMFC) is one of the most important power supplies. Maintaining a constant voltage in PEM fuel cells with the presence of inputs and load variations, has always attracted the attention of many researchers and many articles have been published on this issue. This paper presents modeling of a PEM fuel cell connected to DC/DC boost converter. Subsequently, proportional integral controller (PI controller) is proposed to fix the fuel cell current. The model and the controller are implemented in the MATLAB and SIMULINK environment. Experiments were carried out using the fuel cell system PEM-Constructor of 50W (Heliocentris) and results are discussed.
Mohamed Derbeli; Maissa Farhat; Oscar Barambones; Lassaad Sbita. Control of Proton Exchange Membrane Fuel Cell (PEMFC) power system using PI controller. 2017 International Conference on Green Energy Conversion Systems (GECS) 2017, 1 -5.
AMA StyleMohamed Derbeli, Maissa Farhat, Oscar Barambones, Lassaad Sbita. Control of Proton Exchange Membrane Fuel Cell (PEMFC) power system using PI controller. 2017 International Conference on Green Energy Conversion Systems (GECS). 2017; ():1-5.
Chicago/Turabian StyleMohamed Derbeli; Maissa Farhat; Oscar Barambones; Lassaad Sbita. 2017. "Control of Proton Exchange Membrane Fuel Cell (PEMFC) power system using PI controller." 2017 International Conference on Green Energy Conversion Systems (GECS) , no. : 1-5.
This paper presents a robust Sliding Mode Controller (SMC) for Proton Exchange Membrane Fuel Cell (PEMFC). The aim of this work is to keep the PEMFC working at its maximum operating power point in presence of inputs and load variations. However, due to the low output voltage of the PEMFC, DC/DC boost converter is used to obtain regulated high voltage DC. Therefore, the SMC is proposed to fix the fuel cell current by driving the boost converter connected between the fuel cell and the load. Stability of the closed loop system is analytically proved. The proposed SMC is validated by simulation studies in MATLAB/Simulink and results are discussed. Fast dynamic system response and robustness against load and input voltage variations are obtained.
Mohamed Derbeli; Lassaad Sbita; Maissa Farhat; Oscar Barambones. PEM fuel cell green energy generation — SMC efficiency optimization. 2017 International Conference on Green Energy Conversion Systems (GECS) 2017, 1 -5.
AMA StyleMohamed Derbeli, Lassaad Sbita, Maissa Farhat, Oscar Barambones. PEM fuel cell green energy generation — SMC efficiency optimization. 2017 International Conference on Green Energy Conversion Systems (GECS). 2017; ():1-5.
Chicago/Turabian StyleMohamed Derbeli; Lassaad Sbita; Maissa Farhat; Oscar Barambones. 2017. "PEM fuel cell green energy generation — SMC efficiency optimization." 2017 International Conference on Green Energy Conversion Systems (GECS) , no. : 1-5.