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Prof. Dr. Oscar Barambones
University of the Basque Country (UPV/EHU)

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0 Adaptive Control
0 Renewable Energy
0 Robust Control
0 Nonlinear Control
0 Wind Generators

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Robust Control
Adaptive Control
Renewable Energy
Wind Generators
Nonlinear Control

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Journal article
Published: 26 August 2021 in Mathematics
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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.

ACS Style

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 Style

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 (17):2068.

Chicago/Turabian Style

Mohamed 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.

Journal article
Published: 11 August 2021 in Applied Sciences
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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.

ACS Style

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 Style

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 (16):7390.

Chicago/Turabian Style

Cristian 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.

Journal article
Published: 25 June 2021 in Applied Sciences
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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.

ACS Style

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 Style

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 (13):5927.

Chicago/Turabian Style

Cristian 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.

Journal article
Published: 15 June 2021 in Journal of Electrochemical Energy Conversion and Storage
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The model-based system engineering (MBSE) is based on simplified mathematical models that reflect the dynamic behavior of the systems. These are most of the time nonlinear and need control schemes taking in consideration of exogenous perturbations. The main contribution of this article is the design of a robust passivity-based sliding mode control scheme for a 1.26 KW proton exchange membrane fuel cell (PEMFC). The uncertainties considered in this article are temperature and load variation. The fuel cell (FC) reference current is adapted in a linear transformation by introducing a temperature sensor. This information is present in most of commercial PEMFC and not used in the closed-loop system. Moreover, the proposed approach cancels the errors caused by the average approach modeling and the observer (the part, which replaces current sensor). Robustness against load variation is assured via a proportional integral compensation of the incremental value of load resistance. The performance of the controller and the effectiveness of our approach is shown through the simulation with matlab-simulink software.

ACS Style

Abdelaziz Zaidi; Asma Charaabi; Oscar Barambones; Nadia Zanzouri. Robust Passivity-Based Control Scheme for 1.26 KW Proton Exchange Membrane Fuel Cell Under Temperature and Load Variations. Journal of Electrochemical Energy Conversion and Storage 2021, 18, 1 -10.

AMA Style

Abdelaziz Zaidi, Asma Charaabi, Oscar Barambones, Nadia Zanzouri. Robust Passivity-Based Control Scheme for 1.26 KW Proton Exchange Membrane Fuel Cell Under Temperature and Load Variations. Journal of Electrochemical Energy Conversion and Storage. 2021; 18 (4):1-10.

Chicago/Turabian Style

Abdelaziz Zaidi; Asma Charaabi; Oscar Barambones; Nadia Zanzouri. 2021. "Robust Passivity-Based Control Scheme for 1.26 KW Proton Exchange Membrane Fuel Cell Under Temperature and Load Variations." Journal of Electrochemical Energy Conversion and Storage 18, no. 4: 1-10.

Journal article
Published: 12 June 2021 in Energies
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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.

ACS Style

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 Style

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 (12):3499.

Chicago/Turabian Style

Cristian 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.

Journal article
Published: 24 May 2021 in Journal of the Franklin Institute
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The introduction of advanced control algorithms may improve considerably the efficiency of wind turbine systems. This work proposes a high order sliding mode (HOSM) control scheme based on the super twisting algorithm for regulating the wind turbine speed in order to obtain the maximum power from the wind. A robust aerodynamic torque observer, also based on the super twisting algorithm, is included in the control scheme in order to avoid the use of wind speed sensors. The presented robust control scheme ensures good performance under system uncertainties avoiding the chattering problem, which may appear in traditional sliding mode control schemes. The stability analysis of the proposed HOSM observer is provided by means of the Lyapunov stability theory. Experimental results show that the proposed control scheme, based on HOSM controller and observer, provides good performance and that this scheme is robust with respect to system uncertainties and external disturbances.

ACS Style

Oscar Barambones; José A. Cortajarena; Isidro Calvo; José M. Gonzalez de Durana; Patxi Alkorta; Ali Karami-Mollaee. Real time observer and control scheme for a wind turbine system based on a high order sliding modes. Journal of the Franklin Institute 2021, 1 .

AMA Style

Oscar Barambones, José A. Cortajarena, Isidro Calvo, José M. Gonzalez de Durana, Patxi Alkorta, Ali Karami-Mollaee. Real time observer and control scheme for a wind turbine system based on a high order sliding modes. Journal of the Franklin Institute. 2021; ():1.

Chicago/Turabian Style

Oscar Barambones; José A. Cortajarena; Isidro Calvo; José M. Gonzalez de Durana; Patxi Alkorta; Ali Karami-Mollaee. 2021. "Real time observer and control scheme for a wind turbine system based on a high order sliding modes." Journal of the Franklin Institute , no. : 1.

Journal article
Published: 21 May 2021 in Mathematics
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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.

ACS Style

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 Style

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 (11):1158.

Chicago/Turabian Style

Mohamed 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.

Journal article
Published: 22 February 2021 in Sustainability
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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.

ACS Style

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 Style

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 (4):2360.

Chicago/Turabian Style

Mohammed 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.

Journal article
Published: 26 January 2021 in Mathematics
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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.

ACS Style

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 Style

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 (3):244.

Chicago/Turabian Style

Cristian 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.

Journal article
Published: 11 January 2021 in Mathematics
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Wind-generated energy is a fast-growing source of renewable energy use across the world. A dual-feed induction machine (DFIM) employed in wind generators provides active and reactive, dynamic and static energy support. In this document, the droop control system will be applied to adjust the amplitude and frequency of the grid following the guidelines established for the utility’s smart network supervisor. The wind generator will work with a maximum deloaded power curve, and depending on the reserved active power to compensate the frequency drift, the limit of the reactive power or the variation of the voltage amplitude will be explained. The aim of this paper is to show that the system presented theoretically works correctly on a real platform. The real-time experiments are presented on a test bench based on a 7.5 kW DFIG from Leroy Somer’s commercial machine that is typically used in industrial applications. A synchronous machine that emulates the wind profiles moves the shaft of the DFIG. The amplitude of the microgrid voltage at load variations is improved by regulating the reactive power of the DFIG and this is experimentally proven. The contribution of the active power with the characteristic of the droop control to the load variation is made by means of simulations. Previously, the simulations have been tested with the real system to ensure that the simulations performed faithfully reflect the real system. This is done using a platform based on a real-time interface with the DS1103 from dSPACE.

ACS Style

José Antonio Cortajarena; Oscar Barambones; Patxi Alkorta; Jon Cortajarena. Grid Frequency and Amplitude Control Using DFIG Wind Turbines in a Smart Grid. Mathematics 2021, 9, 143 .

AMA Style

José Antonio Cortajarena, Oscar Barambones, Patxi Alkorta, Jon Cortajarena. Grid Frequency and Amplitude Control Using DFIG Wind Turbines in a Smart Grid. Mathematics. 2021; 9 (2):143.

Chicago/Turabian Style

José Antonio Cortajarena; Oscar Barambones; Patxi Alkorta; Jon Cortajarena. 2021. "Grid Frequency and Amplitude Control Using DFIG Wind Turbines in a Smart Grid." Mathematics 9, no. 2: 143.

Conference paper
Published: 20 November 2020 in Proceedings of 1st International Electronic Conference on Actuator Technology: Materials, Devices and Applications
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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.

ACS Style

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 Style

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 (1):29.

Chicago/Turabian Style

Cristian 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.

Journal article
Published: 20 November 2020 in Mathematics
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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.

ACS Style

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 Style

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 (11):2071.

Chicago/Turabian Style

Cristian 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.

Journal article
Published: 17 November 2020 in Mathematics
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The authors introduce a new controller, aimed at industrial domains, that improves the performance and accuracy of positioning systems based on Stewart platforms. More specifically, this paper presents, and validates experimentally, a sliding mode control for precisely positioning a Stewart platform used as a mobile platform in non-destructive inspection (NDI) applications. The NDI application involves exploring the specimen surface of aeronautical coupons at different heights. In order to avoid defocusing and blurred images, the platform must be positioned accurately to keep a uniform distance between the camera and the surface of the specimen. This operation requires the coordinated control of the six electro mechanic actuators (EMAs). The platform trajectory and the EMA lengths can be calculated by means of the forward and inverse kinematics of the Stewart platform. Typically, a proportional integral (PI) control approach is used for this purpose but unfortunately this control scheme is unable to position the platform accurately enough. For this reason, a sliding mode control (SMC) strategy is proposed. The SMC requires: (1) a priori knowledge of the bounds on system uncertainties, and (2) the analysis of the system stability in order to ensure that the strategy executes adequately. The results of this work show a higher performance of the SMC when compared with the PI control strategy: the average absolute error is reduced from 3.45 mm in PI to 0.78 mm in the SMC. Additionally, the duty cycle analysis shows that although PI control demands a smoother actuator response, the power consumption is similar.

ACS Style

Javier Velasco; Isidro Calvo; Oscar Barambones; Pablo Venegas; Cristian Napole. Experimental Validation of a Sliding Mode Control for a Stewart Platform Used in Aerospace Inspection Applications. Mathematics 2020, 8, 2051 .

AMA Style

Javier Velasco, Isidro Calvo, Oscar Barambones, Pablo Venegas, Cristian Napole. Experimental Validation of a Sliding Mode Control for a Stewart Platform Used in Aerospace Inspection Applications. Mathematics. 2020; 8 (11):2051.

Chicago/Turabian Style

Javier Velasco; Isidro Calvo; Oscar Barambones; Pablo Venegas; Cristian Napole. 2020. "Experimental Validation of a Sliding Mode Control for a Stewart Platform Used in Aerospace Inspection Applications." Mathematics 8, no. 11: 2051.

Journal article
Published: 16 October 2020 in Actuators
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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.

ACS Style

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 Style

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 (4):105.

Chicago/Turabian Style

Mohamed 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.

Journal article
Published: 08 September 2020 in Energies
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This paper presents a complete study of a standalone photovoltaic (PV) system including a maximum power tracker (MPPT) driving a DC boost converter to feed a resistive load. Here, a new MPPT approach using a modification on the original perturb and observe (P&O) algorithm is proposed; the improved algorithm is founded on a variable step size (VSZ). This novel algorithm is realized and efficiently implemented in the PV system. The proposed VSZ algorithm is compared both in simulation and in real time to the P&O algorithm. The stability analysis for the VSZ algorithm is performed using Lyapunov’s stability theory. In this paper, a detailed study and explanation of the modified P&O MPPT controller is presented to ensure high PV system performance. The proposed algorithm is practically implemented using a DSP1104 for real-time testing. Significant results are achieved, proving the validity of the proposed PV system control scheme. The obtained results show that the proposed VSZ succeeds at harvesting the maximum power point (MPP), as the amount of harvested power using VSZ is three times greater than the power extracted without the tracking algorithm. The VSZ reveals improved performance compared to the conventional P&O algorithm in term of dynamic response, signal quality and stability.

ACS Style

Maissa Farhat; Oscar Barambones; Lassaâd Sbita. A Real-Time Implementation of Novel and Stable Variable Step Size MPPT. Energies 2020, 13, 4668 .

AMA Style

Maissa Farhat, Oscar Barambones, Lassaâd Sbita. A Real-Time Implementation of Novel and Stable Variable Step Size MPPT. Energies. 2020; 13 (18):4668.

Chicago/Turabian Style

Maissa Farhat; Oscar Barambones; Lassaâd Sbita. 2020. "A Real-Time Implementation of Novel and Stable Variable Step Size MPPT." Energies 13, no. 18: 4668.

Journal article
Published: 20 August 2020 in Energies
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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.

ACS Style

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 Style

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 (17):4317.

Chicago/Turabian Style

Mohammed 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.

Journal article
Published: 08 August 2020 in International Journal of Hydrogen Energy
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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.

ACS Style

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 Style

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 (53):29222-29234.

Chicago/Turabian Style

Mohamed 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.

Journal article
Published: 01 August 2020 in Energies
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This paper presents a deep analysis of different feed-forward (FF) techniques combined with two different proportional-integral-derivative (PID) control to guide a real piezoelectric actuator (PEA). These devices are well known for a non-linear effect called “hysteresis” which generates an undesirable performance during the device operation. First, the PEA was analysed under real experiments to determine the response with different frequencies and voltages. Secondly, a voltage and frequency inputs were chosen and a study of different control approaches was performed using a conventional PID in close-loop, adding a linear compensation and a FF with the same PID and an artificial neural network (ANN). Finally, the best result was contrasted with an adaptive PID which used a single neuron (SNPID) combined with Hebbs rule to update its parameters. Results were analysed in terms of guidance, error and control signal whereas the performance was evaluated with the integral of the absolute error (IAE). Experiments showed that the FF-ANN compensation combined with an SNPID was the most efficient.

ACS Style

Cristian Napole; Oscar Barambones; Isidro Calvo; Javier Velasco. Feedforward Compensation Analysis of Piezoelectric Actuators Using Artificial Neural Networks with Conventional PID Controller and Single-Neuron PID Based on Hebb Learning Rules. Energies 2020, 13, 3929 .

AMA Style

Cristian Napole, Oscar Barambones, Isidro Calvo, Javier Velasco. Feedforward Compensation Analysis of Piezoelectric Actuators Using Artificial Neural Networks with Conventional PID Controller and Single-Neuron PID Based on Hebb Learning Rules. Energies. 2020; 13 (15):3929.

Chicago/Turabian Style

Cristian Napole; Oscar Barambones; Isidro Calvo; Javier Velasco. 2020. "Feedforward Compensation Analysis of Piezoelectric Actuators Using Artificial Neural Networks with Conventional PID Controller and Single-Neuron PID Based on Hebb Learning Rules." Energies 13, no. 15: 3929.

Research article
Published: 08 June 2020 in Transactions of the Institute of Measurement and Control
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The need to increase the voltage level produced by PV systems becomes an urgent task to be compatible with the requirements of the AC load, but we meet problems in the operation of the step-up converter at a high duty cycle which is not preferred due to the reduction in voltage gain, and also a higher number of turns ratio in the windings inductance coupled adds to the overall losses of the converter. This article proposes an improved DC-DC converter with a lower duty cycle by integrating three tapped-inductors in new topology, which combined quadratic boost converter and tapped-inductor boost converter. The proposed converter achieves a high voltage gain with a lower duty ratio (Gmax = 14.32) and a maximum efficiency of 98.68% is improved compared to the voltage gain and efficiency results of these converters in several recently published references. The analyses are done theoretically and supported with simulation results. A prototype of the proposed converter has been built to experimentally validate the obtained results.

ACS Style

Lakhdar Bentouati; Ali Cheknane; Boumediène Benyoucef; Oscar Barambones. An improved DC-DC converter with high voltage gain based on fully tapped quadratic boost converter for grid connected solar PV micro-inverter. Transactions of the Institute of Measurement and Control 2020, 43, 47 -58.

AMA Style

Lakhdar Bentouati, Ali Cheknane, Boumediène Benyoucef, Oscar Barambones. An improved DC-DC converter with high voltage gain based on fully tapped quadratic boost converter for grid connected solar PV micro-inverter. Transactions of the Institute of Measurement and Control. 2020; 43 (1):47-58.

Chicago/Turabian Style

Lakhdar Bentouati; Ali Cheknane; Boumediène Benyoucef; Oscar Barambones. 2020. "An improved DC-DC converter with high voltage gain based on fully tapped quadratic boost converter for grid connected solar PV micro-inverter." Transactions of the Institute of Measurement and Control 43, no. 1: 47-58.

Journal article
Published: 27 April 2020 in ISA Transactions
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In this document it is presented and experimentally validated a new linear predictive regulator to control the mechanical speed and the rotor flux of induction motor (IM). The regulator is developed in the synchronous reference frame and it provides a very good dynamic performance and guarantees fulfilment with the current constraints, to avoid over currents in stator windings. This predictive controller employs the minimum necessary dynamic model of the motor to get minor computational cost, in which the rotor flux and the load torque are estimated, and in spite of important parametric uncertainties, the performance is excellent. Moreover, the predictive regulator anticipates the response and compensates the mechanical dead time of the speed induction motor drive, getting better results than the classic speed PI control scheme. This control scheme incorporates the space vector pulse width modulation (SVPWM) with two proportional–integral​ (PI) current controllers, where the rest of dynamics of motor (stator) is controlled and voltage constraints are implemented, ensuring that the modulator always works in the linear area, to prevent distortion in the resulting stator currents. From the experimental tests that have been carried out, it can be concluded that the presented controller provides an effective and robust mechanical velocity and rotor flux tracking, from low to high speed range, with a high accuracy.

ACS Style

Patxi Alkorta; José A. Cortajarena; Oscar Barambones; Francisco J. Maseda. Effective generalized predictive control of induction motor. ISA Transactions 2020, 103, 295 -305.

AMA Style

Patxi Alkorta, José A. Cortajarena, Oscar Barambones, Francisco J. Maseda. Effective generalized predictive control of induction motor. ISA Transactions. 2020; 103 ():295-305.

Chicago/Turabian Style

Patxi Alkorta; José A. Cortajarena; Oscar Barambones; Francisco J. Maseda. 2020. "Effective generalized predictive control of induction motor." ISA Transactions 103, no. : 295-305.