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Prof. Francesco Riganti Fulginei
Department of Engineering, Roma Tre University, Rome, Italy

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0 Numerical Simulation
0 Solar Energy
0 And Optimization

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Journal article
Published: 22 June 2021 in Sensors
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In this work, a sensitivity analysis for the closed-form approach of irradiance sensing through photovoltaic devices is proposed. A lean expression to calculate irradiance on a photovoltaic device, given its operating point, temperature and equivalent circuit model, is proposed. On this expression, the sensitivity towards errors in the measurement of the photovoltaic device operating point and temperature is analyzed, determining optimal conditions to minimize sensitivity. The approach is studied for two scenarios, a stand-alone sensor and irradiance sensing on an operating power-producing photovoltaic device. A low-cost realization of a virtual sensor employing the closed form for monitoring performance of photovoltaic module is also presented, showing the advantage of this kind of simple solution. The proposed solution can be used to create a wireless sensor network for remote monitoring of a photovoltaic plant, assessing both electrical and environmental conditions of the devices in real time.

ACS Style

Antonino Laudani; Gabriele Lozito; Francesco Riganti Fulginei. Irradiance Sensing through PV Devices: A Sensitivity Analysis. Sensors 2021, 21, 4264 .

AMA Style

Antonino Laudani, Gabriele Lozito, Francesco Riganti Fulginei. Irradiance Sensing through PV Devices: A Sensitivity Analysis. Sensors. 2021; 21 (13):4264.

Chicago/Turabian Style

Antonino Laudani; Gabriele Lozito; Francesco Riganti Fulginei. 2021. "Irradiance Sensing through PV Devices: A Sensitivity Analysis." Sensors 21, no. 13: 4264.

Journal article
Published: 30 January 2021 in Energies
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This work proposes an Artificial Neural Network (ANN) able to provide an accurate forecasting of power produced by photovoltaic (PV) plants. The ANN is customized on the basis of the particular season of the year. An accurate analysis of input variables, i.e., solar irradiance, temperature and air humidity, carried out by means of Pearson Correlation, has allowed to select, day by day, the most suitable set of inputs and ANN architecture also to reduce the necessity of large computational resource. Thus, features are added to the ANN as needed, avoiding waste of computational resources. The method has been validated through data collected from a PV plant installed in ENEA (National agency for new technologies, energy and sustainable economic development) Research Center, located in Casaccia, Rome (Italy). The developed strategy is able to furnish accurate predictions even in the case of strong irregularities of solar irradiance, providing accurate results in rapidly changing scenarios.

ACS Style

Martina Radicioni; Valentina Lucaferri; Francesco De Lia; Antonino Laudani; Roberto Lo Presti; Gabriele Lozito; Francesco Riganti Fulginei; Riccardo Schioppo; Mario Tucci. Power Forecasting of a Photovoltaic Plant Located in ENEA Casaccia Research Center. Energies 2021, 14, 707 .

AMA Style

Martina Radicioni, Valentina Lucaferri, Francesco De Lia, Antonino Laudani, Roberto Lo Presti, Gabriele Lozito, Francesco Riganti Fulginei, Riccardo Schioppo, Mario Tucci. Power Forecasting of a Photovoltaic Plant Located in ENEA Casaccia Research Center. Energies. 2021; 14 (3):707.

Chicago/Turabian Style

Martina Radicioni; Valentina Lucaferri; Francesco De Lia; Antonino Laudani; Roberto Lo Presti; Gabriele Lozito; Francesco Riganti Fulginei; Riccardo Schioppo; Mario Tucci. 2021. "Power Forecasting of a Photovoltaic Plant Located in ENEA Casaccia Research Center." Energies 14, no. 3: 707.

Journal article
Published: 24 January 2021 in Magnetochemistry
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A thorough investigation of the 2-D hysteresis processes under arbitrary excitations was carried out for a specimen of innovative Fe-Si magnetic powder material. The vector experimental measurements were first performed via a single disk tester (SDT) apparatus under a controlled magnetic induction field, taking into account circular, elliptic, and scalar processes. The experimental data relative to the circular loops were utilized to identify a vector model of hysteresis based on feedforward neural networks (NNs), having as an input the magnetic induction vector B and as an output the magnetic field vector H. Then the model was validated by the simulation of the other experimental hysteresis processes. The comparison between calculated and measured loops evidenced the capability of the model in both the reconstruction of the magnetic field trajectory and the prediction of the power loss under various excitation waveforms. Finally, the computational efficiency of the model makes it suitable for future application in finite element analysis (FEA).

ACS Style

Simone Quondam Antonio; Francesco Riganti Fulginei; Antonio Faba; Francesco Chilosi; Ermanno Cardelli. Vector Hysteresis Processes for Innovative Fe-Si Magnetic Powder Cores: Experiments and Neural Network Modeling. Magnetochemistry 2021, 7, 18 .

AMA Style

Simone Quondam Antonio, Francesco Riganti Fulginei, Antonio Faba, Francesco Chilosi, Ermanno Cardelli. Vector Hysteresis Processes for Innovative Fe-Si Magnetic Powder Cores: Experiments and Neural Network Modeling. Magnetochemistry. 2021; 7 (2):18.

Chicago/Turabian Style

Simone Quondam Antonio; Francesco Riganti Fulginei; Antonio Faba; Francesco Chilosi; Ermanno Cardelli. 2021. "Vector Hysteresis Processes for Innovative Fe-Si Magnetic Powder Cores: Experiments and Neural Network Modeling." Magnetochemistry 7, no. 2: 18.

Journal article
Published: 13 September 2020 in Electronics
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In this paper, a novel algorithm with high computational efficiency is proposed for the filter adaptation in a feedforward active noise control system. The proposed algorithm Zero Forcing Block Adaptive Filter (ZF-BAF) performs filter adaptation on a block-by-block basis in the frequency domain. Filtering is performed in the time domain on a sample-by-sample basis. Working in the frequency domain permits us to get sub-linear complexity, whereas filtering in the time domain minimizes the latency. Furthermore, computational burden is tunable to meet specific requirements about adaptation speed and processing load. No other parameter tuning according to the working condition is required. Computer simulations, performed in different realistic cases against other high-performing time and frequency-domain algorithms, show that achievable performances are comparable, or even better, with those of the algorithms perfectly tuned for each specific case. Robustness exhibited in the tests suggests that performances are expected to be even better in a wide range of real cases where it is impossible to know a priori how to tune the algorithms.

ACS Style

Stefano Gaiotto; Antonino Laudani; Gabriele Maria Lozito; Francesco Riganti Fulginei. A Computationally Efficient Algorithm for Feedforward Active Noise Control Systems. Electronics 2020, 9, 1504 .

AMA Style

Stefano Gaiotto, Antonino Laudani, Gabriele Maria Lozito, Francesco Riganti Fulginei. A Computationally Efficient Algorithm for Feedforward Active Noise Control Systems. Electronics. 2020; 9 (9):1504.

Chicago/Turabian Style

Stefano Gaiotto; Antonino Laudani; Gabriele Maria Lozito; Francesco Riganti Fulginei. 2020. "A Computationally Efficient Algorithm for Feedforward Active Noise Control Systems." Electronics 9, no. 9: 1504.

Journal article
Published: 07 April 2020 in Solar Energy
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In this work, a non-destructive, automated procedure to extract the I-V characteristics of individual cells of fully encapsulated photovoltaic (PV) modules is proposed. The approach is able to correctly identify and extract the electrical parameters of underperforming cells, due for example to defects or degradation. The approach uses multiple I-V measurements on the PV module assuming specific levels of shading on the individual cells. The single circuit models for the cells are obtained through the solution of an inverse fitting problem. The approach was validated in a simulated environment through statistical analysis, with the cell parameters based on real silicon PV devices. The computational complexity of the approach is also investigated and validation examples with different configurations of PV modules, including bypass diodes are presented. The approach was validated on several tests to assess noise robustness, flexibility in terms of cells non-uniformities and scalability towards larger systems, resulting in a lean and accurate procedure for I-V curves extraction. The proposed methodology can be potentially utilised for automated quality assurance and fault assessment of PV modules, investigation of degradation mechanisms of cells in PV modules, or quantitative validation of other optical imaging techniques such as luminescence imaging and infrared thermography.

ACS Style

James Blakesley; Fernando A. Castro; George Koutsourakis; Antonino Laudani; Gabriele Maria Lozito; Francesco Riganti Fulginei. Towards non-destructive individual cell I-V characteristic curve extraction from photovoltaic module measurements. Solar Energy 2020, 202, 342 -357.

AMA Style

James Blakesley, Fernando A. Castro, George Koutsourakis, Antonino Laudani, Gabriele Maria Lozito, Francesco Riganti Fulginei. Towards non-destructive individual cell I-V characteristic curve extraction from photovoltaic module measurements. Solar Energy. 2020; 202 ():342-357.

Chicago/Turabian Style

James Blakesley; Fernando A. Castro; George Koutsourakis; Antonino Laudani; Gabriele Maria Lozito; Francesco Riganti Fulginei. 2020. "Towards non-destructive individual cell I-V characteristic curve extraction from photovoltaic module measurements." Solar Energy 202, no. : 342-357.

Journal article
Published: 01 January 2020 in Electronics
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A real time simulation of battery conditions is an essential step in the development of energy harvesting devices. Since it is not possible to have a direct measurement, the battery information, such as the remaining charge, need to be estimated by means of model-based estimation algorithms. Most of the existing models describing battery behaviour, are suitable only for a constant discharge current. This paper proposes a study of the dependence of the equivalent circuit model parameters on different discharge conditions. The model presented provides a powerful tool to represent the batteries’ behaviour in energy harvesting systems, involving continuous charge and discharge cycles. The extraction of parameters was performed, starting from a set of reference curves generated in Matlab Simulink environment, referring to Li-ion technology batteries. The parameters were extracted by means of a cascade of global and local search identification algorithms. Finally, the relations describing parameters’ behaviours as functions of the discharge current are presented.

ACS Style

Gabriele Maria Lozito; Valentina Lucaferri; Francesco Riganti Riganti Fulginei; Alessandro Salvini. Improvement of an Equivalent Circuit Model for Li-Ion Batteries Operating at Variable Discharge Conditions. Electronics 2020, 9, 78 .

AMA Style

Gabriele Maria Lozito, Valentina Lucaferri, Francesco Riganti Riganti Fulginei, Alessandro Salvini. Improvement of an Equivalent Circuit Model for Li-Ion Batteries Operating at Variable Discharge Conditions. Electronics. 2020; 9 (1):78.

Chicago/Turabian Style

Gabriele Maria Lozito; Valentina Lucaferri; Francesco Riganti Riganti Fulginei; Alessandro Salvini. 2020. "Improvement of an Equivalent Circuit Model for Li-Ion Batteries Operating at Variable Discharge Conditions." Electronics 9, no. 1: 78.

Journal article
Published: 01 March 2018 in Optik
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ACS Style

Antonino Laudani; Francesco Riganti Fulginei; Alessandro Salvini; Antonino Parisi; Riccardo Pernice; Fabio Ricco Galluzzo; Alfonso C. Cino; Alessandro C. Busacca. One diode circuital model of light soaking phenomena in Dye-Sensitized Solar Cells. Optik 2018, 156, 311 -317.

AMA Style

Antonino Laudani, Francesco Riganti Fulginei, Alessandro Salvini, Antonino Parisi, Riccardo Pernice, Fabio Ricco Galluzzo, Alfonso C. Cino, Alessandro C. Busacca. One diode circuital model of light soaking phenomena in Dye-Sensitized Solar Cells. Optik. 2018; 156 ():311-317.

Chicago/Turabian Style

Antonino Laudani; Francesco Riganti Fulginei; Alessandro Salvini; Antonino Parisi; Riccardo Pernice; Fabio Ricco Galluzzo; Alfonso C. Cino; Alessandro C. Busacca. 2018. "One diode circuital model of light soaking phenomena in Dye-Sensitized Solar Cells." Optik 156, no. : 311-317.

Journal article
Published: 01 March 2018 in Solar Energy
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In this paper the current-voltage characteristics of organic solar cells (OSC) is analyzed in terms of equivalent lumped parameter circuit at different level of insolation. In particular, starting from a circuital model based on a three-diode configuration, a set of formulas is proposed to describe the dependence of lumped circuital parameters on irradiance intensity and consequently the behaviour of organic solar cells from dark to high irradiance conditions. These expressions are achieved by using a trail and error approach applied to the fitting procedure of measured I-V curves at different irradiance levels. The achieved model with parameters dependent on irradiance level allows us to use a single circuit for the analysis of OSC under different operating conditions: this is the first step for the integration of OSC circuital model in photovoltaic system simulator, but also can furnish a novel point of view for the advance of the OSC applied research. Experimental measurements are used to setup the model and for its successive validation on two different kind of organic solar cells.

ACS Style

Antonino Laudani; Francesco Riganti Fulginei; Fernando De Castro; Alessandro Salvini. Irradiance intensity dependence of the lumped parameters of the three-diodes model for organic solar cells. Solar Energy 2018, 163, 526 -536.

AMA Style

Antonino Laudani, Francesco Riganti Fulginei, Fernando De Castro, Alessandro Salvini. Irradiance intensity dependence of the lumped parameters of the three-diodes model for organic solar cells. Solar Energy. 2018; 163 ():526-536.

Chicago/Turabian Style

Antonino Laudani; Francesco Riganti Fulginei; Fernando De Castro; Alessandro Salvini. 2018. "Irradiance intensity dependence of the lumped parameters of the three-diodes model for organic solar cells." Solar Energy 163, no. : 526-536.

Review
Published: 01 January 2018 in AIMS Energy
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Photovoltaic (PV) power generation is heavily influenced by mismatching conditions, mainly caused by partial or full shading of an array portion. Such a non-uniform irradiation can lead to severe reductions in the power produced; some techniques, such as array reconfiguration or microconverters and microinverters technology are aimed at retrieving this power together with the use of Maximum Power Point (MPP) tracker algorithms, while others tend to mitigate the e ects that power losses have on the PV system, i.e. overheating and aging. Solutions based on the use of bypass diodes and their re-adapted forms belong to this latter case. The complexity of the problem has shown the need of analyzing the role played by each one of the mentioned aspects; the focus of this paper is to give the reader a detailed review of the main solutions to PV arrays shading present in literature.

ACS Style

Antonino Laudani; Gabriele Maria Lozito; Valentina Lucaferri; Martina Radicioni; Francesco Riganti Fulginei. On circuital topologies and reconfiguration strategies for PV systems in partial shading conditions: A review. AIMS Energy 2018, 6, 735 -763.

AMA Style

Antonino Laudani, Gabriele Maria Lozito, Valentina Lucaferri, Martina Radicioni, Francesco Riganti Fulginei. On circuital topologies and reconfiguration strategies for PV systems in partial shading conditions: A review. AIMS Energy. 2018; 6 (5):735-763.

Chicago/Turabian Style

Antonino Laudani; Gabriele Maria Lozito; Valentina Lucaferri; Martina Radicioni; Francesco Riganti Fulginei. 2018. "On circuital topologies and reconfiguration strategies for PV systems in partial shading conditions: A review." AIMS Energy 6, no. 5: 735-763.

Journal article
Published: 14 July 2017 in Energies
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Determination of solar irradiance is a critical asset to ensure efficient working conditions for a photovoltaic (PV) system. This work analyze the feasibility of assessing solar irradiance on a PV device assuming the knowledge of the device temperature and the voltage/current operating point. This work proposes an approach based on a manipulation of the analytic expressions found in the reduced form of the “single diode” circuit model for a silicon PV device. The approach was validated through different practical experiments, and the results obtained are comparable to the ones of a commercial instrument for irradiance sensing. The ease of construction and the reduced costs involved make a device based on the proposed approach suitable for large-scale integration in a PV plant.

ACS Style

Miguel Carrasco; Antonino Laudani; Gabriele Maria Lozito; Fernando Mancilla-David; Francesco Riganti Fulginei; Alessandro Salvini. Low-Cost Solar Irradiance Sensing for PV Systems. Energies 2017, 10, 998 .

AMA Style

Miguel Carrasco, Antonino Laudani, Gabriele Maria Lozito, Fernando Mancilla-David, Francesco Riganti Fulginei, Alessandro Salvini. Low-Cost Solar Irradiance Sensing for PV Systems. Energies. 2017; 10 (7):998.

Chicago/Turabian Style

Miguel Carrasco; Antonino Laudani; Gabriele Maria Lozito; Fernando Mancilla-David; Francesco Riganti Fulginei; Alessandro Salvini. 2017. "Low-Cost Solar Irradiance Sensing for PV Systems." Energies 10, no. 7: 998.

Article
Published: 10 July 2017 in International Journal of Numerical Modelling: Electronic Networks, Devices and Fields
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This work describes a sensitivity analysis for the one-diode model used to represent photovoltaic devices. The parameters of the model can be found through an analytic and numeric procedure starting from the datasheet values given by the constructor. From this repeatable and pseud-deterministic approach, a numerical study of the sensitivity of the model parameters against experimental datasheet values is proposed, along with a strategy to minimize the average error propagated in model identification.

ACS Style

Salvatore Coco; Antonino Laudani; Gabriele Maria Lozito; Francesco Riganti Fulginei; Alessandro Salvini. Sensitivity analysis of the reduced forms of the one‐diode model for photovoltaic devices. International Journal of Numerical Modelling: Electronic Networks, Devices and Fields 2017, 32, 1 .

AMA Style

Salvatore Coco, Antonino Laudani, Gabriele Maria Lozito, Francesco Riganti Fulginei, Alessandro Salvini. Sensitivity analysis of the reduced forms of the one‐diode model for photovoltaic devices. International Journal of Numerical Modelling: Electronic Networks, Devices and Fields. 2017; 32 (4):1.

Chicago/Turabian Style

Salvatore Coco; Antonino Laudani; Gabriele Maria Lozito; Francesco Riganti Fulginei; Alessandro Salvini. 2017. "Sensitivity analysis of the reduced forms of the one‐diode model for photovoltaic devices." International Journal of Numerical Modelling: Electronic Networks, Devices and Fields 32, no. 4: 1.

Article
Published: 18 June 2017 in International Journal of Numerical Modelling: Electronic Networks, Devices and Fields
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In this paper, a switched-capacitor voltage regulator with a very low output ripple and decoupling capability is presented. To implement this regulator, a dual-phase, double fly capacitors configuration is proposed. Besides having a very low output ripple, it is demonstrated how it is very effective in suppressing power input noise as well, for example EMI interferences propagating across the power lines, thus introducing a new concept of active filtering. Being based on switched capacitors, filters based on this concept can be easily placed in an integrated circuit; in addition, unlike traditional analog filters, resonance phenomena are not possible. Because of these characteristics, the proposed converter has been intended for those circuits where it is required to have very clean power sources even in the presence of disturbing magnetic fields, like measurement instruments operating in hard environmental conditions.

ACS Style

Stefano Gaiotto; Francesco Riganti Fulginei; Gabriele Maria Lozito; Alessandro Salvini. A low‐ripple switched‐capacitor voltage regulator with decoupling capabilities. International Journal of Numerical Modelling: Electronic Networks, Devices and Fields 2017, 32, 1 .

AMA Style

Stefano Gaiotto, Francesco Riganti Fulginei, Gabriele Maria Lozito, Alessandro Salvini. A low‐ripple switched‐capacitor voltage regulator with decoupling capabilities. International Journal of Numerical Modelling: Electronic Networks, Devices and Fields. 2017; 32 (4):1.

Chicago/Turabian Style

Stefano Gaiotto; Francesco Riganti Fulginei; Gabriele Maria Lozito; Alessandro Salvini. 2017. "A low‐ripple switched‐capacitor voltage regulator with decoupling capabilities." International Journal of Numerical Modelling: Electronic Networks, Devices and Fields 32, no. 4: 1.

Journal article
Published: 01 June 2017 in Journal of Magnetism and Magnetic Materials
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A new hysteresis operator for the simulation of Goss-textured ferromagnets is here defined. The operator is derived from the classic Stoner–Wohlfarth model, where the anisotropy energy is assumed to be cubic instead of uniaxial, in order to reproduce the magnetic behavior of Goss textured ferromagnetic materials, such as grain-oriented Fe–Si alloys, Ni–Fe alloys, and Ni–Co alloys. A vector hysteresis model based on a single hysteresis operator is then implemented and used for the prediction of the rotational magnetizations that have been measured in a sample of grain-oriented electrical steel. This is especially promising for FEM based calculations, where the magnetization state in each point must be recalculated at each time step. Finally, the computed loops, as well as the magnetic losses, are compared to the measured data

ACS Style

Ermanno Cardelli; Antonio Faba; Antonino Laudani; Michele Pompei; Simone Quondam Antonio; Francesco Riganti Fulginei; Alessandro Salvini. A challenging hysteresis operator for the simulation of Goss-textured magnetic materials. Journal of Magnetism and Magnetic Materials 2017, 432, 14 -23.

AMA Style

Ermanno Cardelli, Antonio Faba, Antonino Laudani, Michele Pompei, Simone Quondam Antonio, Francesco Riganti Fulginei, Alessandro Salvini. A challenging hysteresis operator for the simulation of Goss-textured magnetic materials. Journal of Magnetism and Magnetic Materials. 2017; 432 ():14-23.

Chicago/Turabian Style

Ermanno Cardelli; Antonio Faba; Antonino Laudani; Michele Pompei; Simone Quondam Antonio; Francesco Riganti Fulginei; Alessandro Salvini. 2017. "A challenging hysteresis operator for the simulation of Goss-textured magnetic materials." Journal of Magnetism and Magnetic Materials 432, no. : 14-23.

Journal article
Published: 26 April 2017 in IEEE Transactions on Magnetics
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The single hysteron model is identified to reconstruct the magnetization processes of a grain oriented electrical steel and it is implemented in a finite element scheme. The model involves the Zeeman energy and the anisotropy energy of the material and an interaction field to take into account others terms such as the magneto-elastic energy, the exchange energy, inclusions, and crystallographic discontinuities. The interaction field is evaluated experimentally using a round rotational single sheet tester, where a disk sample of the material is excited for several rotational magnetization processes. Details about the finite element scheme, the computational time and the memory allocations involved in the simulations are presented and discussed.

ACS Style

Ermanno Cardelli; Antonio Faba; Antonino Laudani; Gabriele Maria Lozito; Simone Quondam Antonio; Francesco Riganti Fulginei; Alessandro Salvini. Implementation of the Single Hysteron Model in a Finite-Element Scheme. IEEE Transactions on Magnetics 2017, 53, 1 -4.

AMA Style

Ermanno Cardelli, Antonio Faba, Antonino Laudani, Gabriele Maria Lozito, Simone Quondam Antonio, Francesco Riganti Fulginei, Alessandro Salvini. Implementation of the Single Hysteron Model in a Finite-Element Scheme. IEEE Transactions on Magnetics. 2017; 53 (11):1-4.

Chicago/Turabian Style

Ermanno Cardelli; Antonio Faba; Antonino Laudani; Gabriele Maria Lozito; Simone Quondam Antonio; Francesco Riganti Fulginei; Alessandro Salvini. 2017. "Implementation of the Single Hysteron Model in a Finite-Element Scheme." IEEE Transactions on Magnetics 53, no. 11: 1-4.

Journal article
Published: 20 March 2017 in IEEE Transactions on Magnetics
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In this paper a technique based on contactless magnetic measurements is described in order to evaluate the orientation of the crystal grains in grain-oriented ferromagnetic materials. It is shown that both the orientation of the major easy axis respect to the rolling direction and the angle of the out of plane-axes respect to the lamination plane could be evaluated from non invasive magnetic measurements, by the analysis of the lag angle plots. The measured data have to be compared to the simulations of the single grain, in order to estimate its orientation from the measured effects of the local in-plane magnetic anisotropy.

ACS Style

Ermanno Cardelli; Antonio Faba; Antonino Laudani; Simone Quondam Antonio; Francesco Riganti Fulginei; Alessandro Salvini. Surface Testing the Crystal Grain Orientation by Lag Angle Plots. IEEE Transactions on Magnetics 2017, 53, 1 -4.

AMA Style

Ermanno Cardelli, Antonio Faba, Antonino Laudani, Simone Quondam Antonio, Francesco Riganti Fulginei, Alessandro Salvini. Surface Testing the Crystal Grain Orientation by Lag Angle Plots. IEEE Transactions on Magnetics. 2017; 53 (6):1-4.

Chicago/Turabian Style

Ermanno Cardelli; Antonio Faba; Antonino Laudani; Simone Quondam Antonio; Francesco Riganti Fulginei; Alessandro Salvini. 2017. "Surface Testing the Crystal Grain Orientation by Lag Angle Plots." IEEE Transactions on Magnetics 53, no. 6: 1-4.

Journal article
Published: 09 March 2017 in International Journal of Applied Electromagnetics and Mechanics
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A new general typology of optimization algorithm inspired from the classical\ud swarm intelligence, the Continuous Flock-Of-Starlings Optimization (CFSO),\ud is used to face the inverse problem of modeling magnetic materials. It is\ud obtained by translating the numerical swarm/flock-based algorithms into\ud differential equations in the time domain and employing analytical\ud closed-forms written in the continuum. The modeling of magnetic hysteresis\ud is very important for the development of magnetic materials and the accurate\ud design of electrical machines. Recently several hysteresis vector models\ud have been proposed and discussed; one of them is the Vector Hysteron Model\ud (VHM) which is a natural extension of the Preisach theory to the vector\ud case. In this work we present a CFSO based approach for the identification\ud of VHM in order to reproduce rotational hysteresis loops. Experimental\ud validations are made for both NOG (Not oriented grain) and OG (Oriented\ud grain) steels

ACS Style

Ermanno Cardelli; Antonio Faba; Antonino Laudani; Francesco Riganti Fulginei; Alessandro Salvini. Continuous Flock-of-Starlings Optimization for a general magnetic hysteresis model. International Journal of Applied Electromagnetics and Mechanics 2017, 53, S229 -S238.

AMA Style

Ermanno Cardelli, Antonio Faba, Antonino Laudani, Francesco Riganti Fulginei, Alessandro Salvini. Continuous Flock-of-Starlings Optimization for a general magnetic hysteresis model. International Journal of Applied Electromagnetics and Mechanics. 2017; 53 (Preprint):S229-S238.

Chicago/Turabian Style

Ermanno Cardelli; Antonio Faba; Antonino Laudani; Francesco Riganti Fulginei; Alessandro Salvini. 2017. "Continuous Flock-of-Starlings Optimization for a general magnetic hysteresis model." International Journal of Applied Electromagnetics and Mechanics 53, no. Preprint: S229-S238.

Proceedings article
Published: 01 March 2017 in 2017 International Applied Computational Electromagnetics Society Symposium - Italy (ACES)
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ACS Style

Antonino Laudani; Gabriele-Maria Lozito; Francesco Riganti-Fulginei; Alessandro Salvini; Ermanno Cardelli; Antonio Faba; Simone Quondam. Generalization of the vector hysteron model through the dependence of moving functions on frequency. 2017 International Applied Computational Electromagnetics Society Symposium - Italy (ACES) 2017, 1 -2.

AMA Style

Antonino Laudani, Gabriele-Maria Lozito, Francesco Riganti-Fulginei, Alessandro Salvini, Ermanno Cardelli, Antonio Faba, Simone Quondam. Generalization of the vector hysteron model through the dependence of moving functions on frequency. 2017 International Applied Computational Electromagnetics Society Symposium - Italy (ACES). 2017; ():1-2.

Chicago/Turabian Style

Antonino Laudani; Gabriele-Maria Lozito; Francesco Riganti-Fulginei; Alessandro Salvini; Ermanno Cardelli; Antonio Faba; Simone Quondam. 2017. "Generalization of the vector hysteron model through the dependence of moving functions on frequency." 2017 International Applied Computational Electromagnetics Society Symposium - Italy (ACES) , no. : 1-2.

Conference paper
Published: 14 November 2016 in 2016 IEEE 2nd International Forum on Research and Technologies for Society and Industry Leveraging a better tomorrow (RTSI)
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This work documents the research towards the identification of the FEM model of a measurement workbench for vector magnetic fields in ferromagnetic structures. The device under test is a Round Rotational Single Sheet Tester, having as excitation structure the stator of an induction motor. The FEM model of this workbench is characterized, apart from the geometrical structure, by three unknown parameters relative to the stator: the turn for each winding, the angular displacement of the slots and the magnetic permeability of the stator. The inverse problem associated to the determination of such parameters is both continuous (angle and permeability) and discrete (turns). For the solution of the problem, the application of a powerful parallel algorithm, the CFSO3, is proposed.

ACS Style

Antonino Laudani; Gabriele Maria Lozito; Francesco Riganti Fulginei; Alessandro Salvini. FEM model identification for a vector hysteresis workbench. 2016 IEEE 2nd International Forum on Research and Technologies for Society and Industry Leveraging a better tomorrow (RTSI) 2016, 1 -5.

AMA Style

Antonino Laudani, Gabriele Maria Lozito, Francesco Riganti Fulginei, Alessandro Salvini. FEM model identification for a vector hysteresis workbench. 2016 IEEE 2nd International Forum on Research and Technologies for Society and Industry Leveraging a better tomorrow (RTSI). 2016; ():1-5.

Chicago/Turabian Style

Antonino Laudani; Gabriele Maria Lozito; Francesco Riganti Fulginei; Alessandro Salvini. 2016. "FEM model identification for a vector hysteresis workbench." 2016 IEEE 2nd International Forum on Research and Technologies for Society and Industry Leveraging a better tomorrow (RTSI) , no. : 1-5.

Conference paper
Published: 01 November 2016 in 2016 IEEE Conference on Electromagnetic Field Computation (CEFC)
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In this paper the texture reconstruction of magnetic materials by means of a magnetic model for vector hysteresis is presented. The evaluation of the orientation distribution function (ODF) from magnetic measurements is being carried out for both non-grain-oriented and grain-oriented electrical steels. The estimated ODFS are finally compared to the measured ones.

ACS Style

Ermanno Cardelli; Antonio Faba; Antonino Laudani; Simone Quondam Antonio; Francesco Riganti Fulginei; Antonio Salvini. Magnetic modelling for the texture analysis of Fe-Si alloys. 2016 IEEE Conference on Electromagnetic Field Computation (CEFC) 2016, 1 -1.

AMA Style

Ermanno Cardelli, Antonio Faba, Antonino Laudani, Simone Quondam Antonio, Francesco Riganti Fulginei, Antonio Salvini. Magnetic modelling for the texture analysis of Fe-Si alloys. 2016 IEEE Conference on Electromagnetic Field Computation (CEFC). 2016; ():1-1.

Chicago/Turabian Style

Ermanno Cardelli; Antonio Faba; Antonino Laudani; Simone Quondam Antonio; Francesco Riganti Fulginei; Antonio Salvini. 2016. "Magnetic modelling for the texture analysis of Fe-Si alloys." 2016 IEEE Conference on Electromagnetic Field Computation (CEFC) , no. : 1-1.

Conference paper
Published: 01 September 2016 in 2016 IEEE 16th International Conference on Environment and Electrical Engineering (EEEIC)
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Photovoltaic cells are characterized via a static relationship that describes their current-voltage dependency. This relationship depends on two critical uncertain parameters: temperature and solar irradiance. While it is technologically feasible and easy to measure the former, a sensor for the latter is usually expensive and difficult to calibrate. In this work we show that estimation of solar irradiance can be accomplished in closed form, assuming that current, voltage and cell temperature are available for measurement. The approach is validated and compared with a neural network based device, by using outdoor measurements taken in a partially overcast day with rapidly moving clouds, demonstrating the ability of the estimator to dynamically track irradiance.

ACS Style

Antonino Laudani; Francesco Riganti Fulginei; Alessandro Salvini; Miguel Carrasco; Fernando Mancilla-David. A fast and effective procedure for sensing solar irradiance in photovoltaic arrays. 2016 IEEE 16th International Conference on Environment and Electrical Engineering (EEEIC) 2016, 1 -4.

AMA Style

Antonino Laudani, Francesco Riganti Fulginei, Alessandro Salvini, Miguel Carrasco, Fernando Mancilla-David. A fast and effective procedure for sensing solar irradiance in photovoltaic arrays. 2016 IEEE 16th International Conference on Environment and Electrical Engineering (EEEIC). 2016; ():1-4.

Chicago/Turabian Style

Antonino Laudani; Francesco Riganti Fulginei; Alessandro Salvini; Miguel Carrasco; Fernando Mancilla-David. 2016. "A fast and effective procedure for sensing solar irradiance in photovoltaic arrays." 2016 IEEE 16th International Conference on Environment and Electrical Engineering (EEEIC) , no. : 1-4.