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Your search keyword '"Sferlazza, Antonino"' showing total 26 results
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26 results on '"Sferlazza, Antonino"'

1. A Voltage-Controlled Split-pi Converter Interfacing a High-Voltage ESS with a DC Microgrid: Modeling and Experimental Validation

Author

Luna, Massimiliano, Sferlazza, Antonino, Accetta, Angelo, Di Piazza, Maria Carmela, La Tona, Giuseppe, Pucci, Marcello, Angrisani, Leopoldo, Series Editor, Arteaga, Marco, Series Editor, Chakraborty, Samarjit, Series Editor, Chen, Jiming, Series Editor, Chen, Shanben, Series Editor, Chen, Tan Kay, Series Editor, Dillmann, Rüdiger, Series Editor, Duan, Haibin, Series Editor, Ferrari, Gianluigi, Series Editor, Ferre, Manuel, Series Editor, Jabbari, Faryar, Series Editor, Jia, Limin, Series Editor, Kacprzyk, Janusz, Series Editor, Khamis, Alaa, Series Editor, Kroeger, Torsten, Series Editor, Li, Yong, Series Editor, Liang, Qilian, Series Editor, Martín, Ferran, Series Editor, Ming, Tan Cher, Series Editor, Minker, Wolfgang, Series Editor, Misra, Pradeep, Series Editor, Mukhopadhyay, Subhas, Series Editor, Ning, Cun-Zheng, Series Editor, Nishida, Toyoaki, Series Editor, Oneto, Luca, Series Editor, Panigrahi, Bijaya Ketan, Series Editor, Pascucci, Federica, Series Editor, Qin, Yong, Series Editor, Seng, Gan Woon, Series Editor, Speidel, Joachim, Series Editor, Veiga, Germano, Series Editor, Wu, Haitao, Series Editor, Zamboni, Walter, Series Editor, Tan, Kay Chen, Series Editor, Pierfederici, Serge, editor, and Martin, Jean-Philippe, editor

Published
2024
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2. Performances Evaluation of Electric Vehicles Recharging Systems Implementing Silicon Carbide and Gallium Nitride Switches

Author

Busacca, Alessandro, Calabretta, Michele, Cusumano, Pasquale, Garraffa, Giovanni, Messina, Angelo Alberto, Scirè, Daniele, Sferlazza, Antonino, Vitale, Gianpaolo, Angrisani, Leopoldo, Series Editor, Arteaga, Marco, Series Editor, Chakraborty, Samarjit, Series Editor, Chen, Jiming, Series Editor, Chen, Shanben, Series Editor, Chen, Tan Kay, Series Editor, Dillmann, Rüdiger, Series Editor, Duan, Haibin, Series Editor, Ferrari, Gianluigi, Series Editor, Ferre, Manuel, Series Editor, Jabbari, Faryar, Series Editor, Jia, Limin, Series Editor, Kacprzyk, Janusz, Series Editor, Khamis, Alaa, Series Editor, Kroeger, Torsten, Series Editor, Li, Yong, Series Editor, Liang, Qilian, Series Editor, Martín, Ferran, Series Editor, Ming, Tan Cher, Series Editor, Minker, Wolfgang, Series Editor, Misra, Pradeep, Series Editor, Mukhopadhyay, Subhas, Series Editor, Ning, Cun-Zheng, Series Editor, Nishida, Toyoaki, Series Editor, Oneto, Luca, Series Editor, Panigrahi, Bijaya Ketan, Series Editor, Pascucci, Federica, Series Editor, Qin, Yong, Series Editor, Seng, Gan Woon, Series Editor, Speidel, Joachim, Series Editor, Veiga, Germano, Series Editor, Wu, Haitao, Series Editor, Zamboni, Walter, Series Editor, Zhang, Junjie James, Series Editor, Tan, Kay Chen, Series Editor, Ciofi, Carmine, editor, and Limiti, Ernesto, editor

Published
2024
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8. Comparison between SiC and GaN switching devices in fast-recharging systems for electric vehicles

Author

Busacca, Alessandro, Calabretta, Michele, Cusumano, Pasquale, Garraffa, Giovanni, Messina, Angelo Alberto, Scirè, Daniele, Sferlazza, Antonino, Vitale, Gianpaolo, Busacca, Alessandro, Calabretta, Michele, Cusumano, Pasquale, Garraffa, Giovanni, Messina, Angelo Alberto, Scirè, Daniele, Sferlazza, Antonino, and Vitale, Gianpaolo

Subjects
SiC, GaN, electric vehicles, power electronics, Settore ING-INF/04 - Automatica, Settore ING-INF/01 - Elettronica
Abstract

Recently, the improvement of the semiconductor devices to achieve higher efficiency and higher power density has risen to interest. Si carbide and gallium nitride offer faster switching frequency and lower losses; however, the knowledge of the behaviour of these devices is not mature. In this paper, a system for fast charging of batteries for electric vehicles based on an isolated DC-DC converter equipped with both SiC and GaN devices is presented and an interesting experimental comparison among these two technologies will be given in terms of dynamic performances, electromagnetic compatibility, stability, efficiency, and so on.

Published
2023

24. Adaptive Feedback Linearization Control of SynRM Drives With On-Line Inductance Estimation

Author

Accetta, Angelo, Cirrincione, Maurizio, D'Ippolito, Filippo, Pucci, Marcello, and Sferlazza, Antonino

Abstract

This article proposes an adaptive input-output Feedback Linearization Control (FLC) techniques for Synchronous Reluctance Motor (SynRM) drives, taking into consideration the iron losses. As a main original content, this work proposes a control law based on a new dynamic model of the SynRM including iron losses as well as the on-line estimation of the static inductances. The on-line estimation of the SynRM static inductances permits to inherently take into consideration the magnetic saturation phenomena occuring on both axes. As a major result, it permits a null stator current steady state tracking error even with a proportional derivative controller. The estimation law is obtained thanks to a Lyapunov-based analysis and thus the stability of the entire control system, including the estimation algorithm, is intrinsically guaranteed. The proposed adaptive FLC technique, has been tested experimentally on a suitably developed test set-up, and compared experimentally with its non-adaptive versions in both tuned and detuned working conditions. Moreover, a sensitivity analysis of the performance of the adaptive FLC to the variations of the stator resistance at low speed has been made. Finally, an analysis of the effects of the iron losses on the control performance and stability at high speed in the field weakening region at medium/high loads has been made.

Published
2023
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25. A hybrid observer for localization from noisy inertial data and sporadic position measurements.

Author

D'Ippolito, Filippo, Garraffa, Giovanni, Sferlazza, Antonino, and Zaccarian, Luca

Abstract

We propose an asymptotic position and speed observer for inertial navigation in the case where the position measurements are sporadic and affected by noise. We cast the problem in a hybrid dynamics framework where the continuous motion is affected by unknown continuous-time disturbances and the sporadic position measurements are affected by discrete-time noise. We show that the peculiar hybrid cascaded structure describing the estimation error dynamics is globally finite-gain exponentially ISS with gains depending intuitively on our tuning parameters. Experimental results, as well as the comparison with an Extended Kalman Filter (EKF), confirm the effectiveness of the proposed solution with an execution time two orders of magnitude faster and with a simplified observer tuning because our bounds are an explicit function of the observer tuning knobs. [ABSTRACT FROM AUTHOR]

Published
2023
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26. Localization in Structured Environments with UWB Devices without Acceleration Measurements, and Velocity Estimation Using a Kalman–Bucy Filter

Author

Francesco Alonge, Pasquale Cusumano, Filippo D’Ippolito, Giovanni Garraffa, Patrizia Livreri, Antonino Sferlazza, Alonge, F., Cusumano, Pasquale, D’Ippolito, Filippo, Garraffa, Giovanni, Livreri, Patrizia, and Sferlazza, Antonino

Subjects
Kalman–Bucy filter, range-based localization without accelerometers, UWB, localization, velocity estimation, Electrical and Electronic Engineering, Biochemistry, Instrumentation, Range-based localization without accelerometer, Atomic and Molecular Physics, and Optics, Analytical Chemistry
Abstract

In this work, a novel scheme for velocity and position estimation in a UWB range-based localization system is proposed. The suggested estimation strategy allows to overcome two main problems typically encountered in the localization systems. The first one is that it can be suitable for use in environments where the GPS signal is not present or where it might fail. The second one is that no accelerometer measurements are needed for the localization task. Moreover, to deal with the velocity estimation problem, a suitable Kalman–Bucy filter is designed and it is compared, experimentally, with a particle filter by showing the features of the two algorithms in order to be used in a localization context. Additionally, further experimental tests are carried out on a suitable developed test setup in order to confirm the goodness of the proposed approach.

Published
2022

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