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A Reconfigurable Cascaded Multilevel Converter for EV Powertrain (2023)
Journal Article
Tresca, G., Formentini, A., Riccio, J., Anglani, N., & Zanchetta, P. (2023). A Reconfigurable Cascaded Multilevel Converter for EV Powertrain. IEEE Transactions on Industry Applications, 1-13. https://doi.org/10.1109/tia.2023.3337763

This paper presents a new topology for EV powertrain, called Reconfigurable Cascaded Multilevel Converter, able to simultaneously implement power conversion and active battery system management. The latter feature is performed through the Reconfigura... Read More about A Reconfigurable Cascaded Multilevel Converter for EV Powertrain.

Balanced Charging Algorithm for CHB in an EV Powertrain (2023)
Journal Article
Gemma, F., Tresca, G., Formentini, A., & Zanchetta, P. (2023). Balanced Charging Algorithm for CHB in an EV Powertrain. Energies, 16(14), Article 5565. https://doi.org/10.3390/en16145565

The scientific literature acknowledges cascaded H-bridge (CHB) converters as a viable alternative to two-level inverters in electric vehicle (EV) powertrain applications. In the context of an electric vehicle engine connected to a DC charger, this st... Read More about Balanced Charging Algorithm for CHB in an EV Powertrain.

Modulated Model-Predictive Integral Control Applied to a Synchronous Reluctance Motor Drive (2023)
Journal Article
Riccio, J., Karamanakos, P., Odhano, S., Tang, M., Di Nardo, M., Tresca, G., & Zanchetta, P. (2023). Modulated Model-Predictive Integral Control Applied to a Synchronous Reluctance Motor Drive. IEEE Journal of Emerging and Selected Topics in Power Electronics, 11(3), 3000-3010. https://doi.org/10.1109/JESTPE.2023.3245077

This article investigates an innovative modulation technique for a predictive control applied to a synchronous reluctance motor (SyRM) drive. The new formulation of the duty cycles, in both linear and overmodulation regions, relies on the identified... Read More about Modulated Model-Predictive Integral Control Applied to a Synchronous Reluctance Motor Drive.

Direct Model Predictive Control of Synchronous Reluctance Motor Drives (2022)
Journal Article
Riccio, J., Karamanakos, P., Odhano, S., Tang, M., Nardo, M. D., & Zanchetta, P. (2023). Direct Model Predictive Control of Synchronous Reluctance Motor Drives. IEEE Transactions on Industry Applications, 59(1), 1054-1063. https://doi.org/10.1109/TIA.2022.3213002

This paper investigates a finite-control set model-predictive control (FCS-MPC) algorithm to enhance the performance of a synchronous reluctance machine drive. Particular emphasis is placed on the definition of the cost function enabling a computatio... Read More about Direct Model Predictive Control of Synchronous Reluctance Motor Drives.

An Adaptive Data-Driven Iterative Feedforward Tuning Approach Based on Fast Recursive Algorithm: With Application to A Linear Motor (2022)
Journal Article
Fu, X., Yang, X., Zanchetta, P., Tang, M., Liu, Y., & Chen, Z. (2023). An Adaptive Data-Driven Iterative Feedforward Tuning Approach Based on Fast Recursive Algorithm: With Application to A Linear Motor. IEEE Transactions on Industrial Informatics, 19(4), 6160-6169. https://doi.org/10.1109/tii.2022.3202818

The feedforward control can effectively improve the servo performance in applications with high requirements of velocity and acceleration. The iterative feedforward tuning method (IFFT) enables the possibility of both removing the need for prior know... Read More about An Adaptive Data-Driven Iterative Feedforward Tuning Approach Based on Fast Recursive Algorithm: With Application to A Linear Motor.

Analysis and Fault-Tolerant Control for Dual-Three-Phase PMSM Based on Virtual Healthy Model (2022)
Journal Article
Zheng, B., Zou, J., Li, B., Tang, M., Xu, Y., & Zanchetta, P. (2022). Analysis and Fault-Tolerant Control for Dual-Three-Phase PMSM Based on Virtual Healthy Model. IEEE Transactions on Power Electronics, 37(12), 15411-15424. https://doi.org/10.1109/TPEL.2022.3199100

Dual-three-phase permanent magnet synchronous machines (DTP-PMSMs) are famous for their fault-tolerant capability. However, the complex modeling, high copper loss, and torque ripple under postfault operation limit their further application. In this a... Read More about Analysis and Fault-Tolerant Control for Dual-Three-Phase PMSM Based on Virtual Healthy Model.

Power Electronics Converters for the Internet of Energy: A Review (2022)
Journal Article
Granata, S., Di Benedetto, M., Terlizzi, C., Leuzzi, R., Bifaretti, S., & Zanchetta, P. (2022). Power Electronics Converters for the Internet of Energy: A Review. Energies, 15(7), Article 2604. https://doi.org/10.3390/en15072604

This paper presents a comprehensive review of multi-port power electronics converters used for application in AC, DC, or hybrid distribution systems in an Internet of Energy scenario. In particular, multi-port solid-state transformer (SST) topologies... Read More about Power Electronics Converters for the Internet of Energy: A Review.

Profiling the Eddy Current Losses Variations of High-Speed Permanent Magnet Machines in Plug-in Hybrid Electric Vehicles (2022)
Journal Article
Huang, Z., Tang, M., Golovanov, D., Yang, T., Herring, S., Zanchetta, P., & Gerada, C. (2022). Profiling the Eddy Current Losses Variations of High-Speed Permanent Magnet Machines in Plug-in Hybrid Electric Vehicles. IEEE Transactions on Transportation Electrification, https://doi.org/10.1109/TTE.2022.3152845

High-speed permanent magnet (PM) machines have been recognized as a popular choice for plug-in hybrid electric vehicles (PHEVs). Although high-speed operation can enhance the machine power density, more rotor eddy current losses can be expected. Thos... Read More about Profiling the Eddy Current Losses Variations of High-Speed Permanent Magnet Machines in Plug-in Hybrid Electric Vehicles.

Reconfigurable Cascaded Multilevel Converter design for Battery Energy System Storage (2022)
Conference Proceeding
Tresca, G., Formentini, A., Di Salvo, S., Leuzzi, R., Anglani, N., & Zanchetta, P. (2022). Reconfigurable Cascaded Multilevel Converter design for Battery Energy System Storage. . https://doi.org/10.1109/SPEEDAM53979.2022.9842134

This paper presents the Reconfigurable Cascaded Multilevel converter employed for battery energy storage systems. The main advantage lies on the possibility to fully control each battery cell, improving the overall performances of the storage system.... Read More about Reconfigurable Cascaded Multilevel Converter design for Battery Energy System Storage.

Effect of model parameter errors in model predictive control applications (2021)
Conference Proceeding
Rojas, D., Rivera, M., Munoz, J., Wheeler, P., Zanchetta, P., & Mirzaeva, G. (2021). Effect of model parameter errors in model predictive control applications. . https://doi.org/10.1109/CHILECON54041.2021.9702942

When implementing predictive control strategies for power electronic converters a good model of the system is needed because this model determines the quality of the resulting controller. In this paper a study of the model parameter error effects in... Read More about Effect of model parameter errors in model predictive control applications.

Fault Detection and Management of the Three-Phase 4-Leg Voltage Source Inverter (2021)
Conference Proceeding
Tang, M., Zanchetta, P., Benedetto, M. D., Lidozzi, A., & Solero, L. (2021). Fault Detection and Management of the Three-Phase 4-Leg Voltage Source Inverter. . https://doi.org/10.1109/ECCE47101.2021.9595966

A novel fault detection and ride-through method for the three-phase 4-Leg Inverter (3Φ4L Inverter) used in off-grid applications is addressed in this paper. Open circuit and short circuit faults of the power devices located in the 3Φ4 L Inverter have... Read More about Fault Detection and Management of the Three-Phase 4-Leg Voltage Source Inverter.

Model predictive Control of a Double Stage AC-DC Converter for Grid-Interface of Vanadium Flow Batteries (2021)
Conference Proceeding
Di Salvo, S. R., Bulzi, M., Riccio, J., Leuzzi, R., Zanchetta, P., & Anglani, N. (2021). Model predictive Control of a Double Stage AC-DC Converter for Grid-Interface of Vanadium Flow Batteries. In 2021 IEEE Energy Conversion Congress and Exposition (ECCE) (1895-1901). https://doi.org/10.1109/ECCE47101.2021.9595483

This paper presents a multi-objective model predictive control algorithm to implement the control of a bidirectional double stage ac-dc power conversion system, used to interface a Vanadium redox flow battery with a power grid. The converter topology... Read More about Model predictive Control of a Double Stage AC-DC Converter for Grid-Interface of Vanadium Flow Batteries.

A Direct Model Predictive Control Strategy for High-Performance Synchronous Reluctance Motor Drives (2021)
Conference Proceeding
Riccio, J., Karamanakos, P., Odhano, S., Tang, M., Nardo, M. D., & Zanchetta, P. (2021). A Direct Model Predictive Control Strategy for High-Performance Synchronous Reluctance Motor Drives. In 2021 IEEE Energy Conversion Congress and Exposition (ECCE) (4704-4710). https://doi.org/10.1109/ECCE47101.2021.9595334

This paper presents a finite control set model predictive control (FCS-MPC) method that improves the performance of a synchronous reluctance machine drive. As shown, when a high sampling-to-switching frequency ratio is used with FCS-MPC, the stator c... Read More about A Direct Model Predictive Control Strategy for High-Performance Synchronous Reluctance Motor Drives.

Reconfigurable Cascaded Multilevel Converter: A New Topology For EV Powertrain (2021)
Conference Proceeding
Tresca, G., Leuzzi, R., Formentini, A., Rovere, L., Anglani, N., & Zanchetta, P. (2021). Reconfigurable Cascaded Multilevel Converter: A New Topology For EV Powertrain. In 2021 IEEE Energy Conversion Congress and Exposition (ECCE) (1454-1460). https://doi.org/10.1109/ECCE47101.2021.9595741

This paper presents a novel cascaded multilevel converter topology with reconfigurable battery modules able to merge the power conversion and the battery management functionalities for electric powertrain application. In the proposed topology, each b... Read More about Reconfigurable Cascaded Multilevel Converter: A New Topology For EV Powertrain.

Power flow management by active nodes: A case study in real operating conditions (2021)
Journal Article
Bifaretti, S., Bonaiuto, V., Pipolo, S., Terlizzi, C., Zanchetta, P., Gallinelli, F., & Alessandroni, S. (2021). Power flow management by active nodes: A case study in real operating conditions. Energies, 14(15), Article 4519. https://doi.org/10.3390/en14154519

The role of distributor system operators is experiencing a gradual but relevant change to include enhanced ancillary and energy dispatch services needed to manage the increased power provided by intermittent distributed generations in medium voltage... Read More about Power flow management by active nodes: A case study in real operating conditions.

Modular Power Sharing Control for Bearingless Multi-Three Phase Permanent Magnet Synchronous Machine (2021)
Journal Article
Wen, Z., Di Nardo, M., Sala, G., Valente, G., Marfoli, A., Degano, M., …Gerada, C. (2022). Modular Power Sharing Control for Bearingless Multi-Three Phase Permanent Magnet Synchronous Machine. IEEE Transactions on Industrial Electronics, 69(7), 6600-6610. https://doi.org/10.1109/TIE.2021.3097610

This paper proposes a modular approach to the power sharing control of permanent magnet synchronous bearingless machine. The selected machine topology features a winding layout with phases distributed into non-overlapping three phase groups, a soluti... Read More about Modular Power Sharing Control for Bearingless Multi-Three Phase Permanent Magnet Synchronous Machine.

Cogging Force Identification Based on Self-Adaptive Hybrid Self-Learning TLBO Trained RBF Neural Network for Linear Motors (2021)
Conference Proceeding
Fu, X., Ding, C., Zanchetta, P., Yang, X., Tang, M., & Liu, Y. (2021). Cogging Force Identification Based on Self-Adaptive Hybrid Self-Learning TLBO Trained RBF Neural Network for Linear Motors. . https://doi.org/10.1109/LDIA49489.2021.9505810

The cogging force arising due to the strong attraction forces between the iron core and the permanent magnets, is a common inherent property of the linear motors, which significantly affects the control performance. Therefore, significant research ef... Read More about Cogging Force Identification Based on Self-Adaptive Hybrid Self-Learning TLBO Trained RBF Neural Network for Linear Motors.

Optimised Current Loop Design for a High Speed Nine-Phase Permanent Magnet Synchronous Machine in More Electric Aircraft: A Case Study (2021)
Conference Proceeding
Tang, M., Lang, X., Gerada, C., Huang, Z., Velmurugan, G., Zanchetta, P., …Yang, T. (2021). Optimised Current Loop Design for a High Speed Nine-Phase Permanent Magnet Synchronous Machine in More Electric Aircraft: A Case Study. In 2021 IEEE Transportation Electrification Conference and Expo (ITEC) (670-676). https://doi.org/10.1109/ITEC51675.2021.9490130

High speed multi-phase machine has drawn widely attention towards the development of electrification due to its high power density and fault tolerant capability. A 50 kW high speed nine-phase permanent magnet synchronous machine has been designed for... Read More about Optimised Current Loop Design for a High Speed Nine-Phase Permanent Magnet Synchronous Machine in More Electric Aircraft: A Case Study.

A Study of Cost Function Selection in Model Predictive Control Applications (2021)
Conference Proceeding
Rojas, D., Rivera, M., Wheeler, P., Zanchetta, P., Mirzaeva, G., & Rohten, J. (2021). A Study of Cost Function Selection in Model Predictive Control Applications. In 2021 IEEE International Conference on Automation/XXIV Congress of the Chilean Association of Automatic Control (ICA-ACCA). https://doi.org/10.1109/icaacca51523.2021.9465326

The cost function selection is considered one of the most relevant aspects for the implementation of Model Predictive Control strategies. In this paper a study of the most common cost functions used for the control of a two level voltage source inver... Read More about A Study of Cost Function Selection in Model Predictive Control Applications.

Common-Mode Voltage Reduction in a VSI Inverter Applying Sequential Predictive Control (2021)
Conference Proceeding
Murillo-Yarce, D., Rivera, M., Restrepo, C., Munoz, J., Baier, C., Rodriguez, R., …Mirzaeva, G. (2021). Common-Mode Voltage Reduction in a VSI Inverter Applying Sequential Predictive Control. In 2021 IEEE International Conference on Automation/XXIV Congress of the Chilean Association of Automatic Control (ICA-ACCA). https://doi.org/10.1109/icaacca51523.2021.9465321

In the classical predictive control (CPC) implementation a cost function designed in terms of the control objectives and constants known as weighting factors must be minimized. Weighting factors are usually obtained by trial and error since there is... Read More about Common-Mode Voltage Reduction in a VSI Inverter Applying Sequential Predictive Control.