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Reduced Computational Burden of Modulated Model-Predictive Control for Synchronous Reluctance Motor Drive Applications (2023)
Conference Proceeding
Riccio, J., Karamanakos, P., Degano, M., Gerada, C., & Zanchetta, P. (2023). Reduced Computational Burden of Modulated Model-Predictive Control for Synchronous Reluctance Motor Drive Applications. In 2023 IEEE Energy Conversion Congress and Exposition (ECCE) (4995-5002). https://doi.org/10.1109/ECCE53617.2023.10362110

This paper introduces a novel geometric approach to significantly reduce the computational burden of modulated predictive controllers while maintaining the same steady-state performance and satisfactory dynamic behavior. The proposed geometric method... Read More about Reduced Computational Burden of Modulated Model-Predictive Control for Synchronous Reluctance Motor Drive Applications.

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.

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.

Sensorless Cascaded-Model Predictive Control applied to a Doubly Fed Induction Machine (2020)
Conference Proceeding
Riccio, J., Odhano, S., Tang, M., & Zanchetta, P. (2020). Sensorless Cascaded-Model Predictive Control applied to a Doubly Fed Induction Machine. . https://doi.org/10.1109/ecce44975.2020.9236318

This paper proposes a sensorless cascaded model predictive control strategy applied to a doubly-fed induction machine. This technique is based on an improved stator flux estimator, and an extended Kalman filter to control encoder-less and independent... Read More about Sensorless Cascaded-Model Predictive Control applied to a Doubly Fed Induction Machine.

AC-DC Isolated Matrix Converter Charger: Topology and Modulation (2020)
Conference Proceeding
Rovere, L., Pipolo, S., Formentini, A., & Zanchetta, P. (2020). AC-DC Isolated Matrix Converter Charger: Topology and Modulation. In 2020 IEEE Energy Conversion Congress and Exposition (ECCE) (1583-1588). https://doi.org/10.1109/ecce44975.2020.9235696

This paper presents the modulation strategy for the 25 kW AC-DC isolated Matrix Charger three-phase rectifier (MCharger). The proposed topology allows current and voltage regulation for energy storage devices such as EVs batteries. Compared to a stan... Read More about AC-DC Isolated Matrix Converter Charger: Topology and Modulation.

Disturbance Rejection Ability Enhancement Using Repetitive Observer in Phase-locked Loop for More Electric Aircraft (2020)
Conference Proceeding
Tang, M., Bifaretti, S., Pipolo, S., Formentini, A., Odhano, S., & Zanchetta, P. (2020). Disturbance Rejection Ability Enhancement Using Repetitive Observer in Phase-locked Loop for More Electric Aircraft. In 2020 IEEE Energy Conversion Congress and Exposition (ECCE) (6379-6384). https://doi.org/10.1109/ecce44975.2020.9235893

Under the concept of transportation electrification, more electric aircraft (MEA) involves more electrical energy to reduce emissions. Phase-looked loops (PLLs) have been well developed for synchronizing different power sources in a grid. Since MEA o... Read More about Disturbance Rejection Ability Enhancement Using Repetitive Observer in Phase-locked Loop for More Electric Aircraft.

Fast Self-Tuning Decentralized Variable Frequency Optimal Controller Design for Three-Phase Embedded Grids (2019)
Conference Proceeding
Dewar, D., Rhoten, J., Formentini, A., & Zanchetta, P. (2019). Fast Self-Tuning Decentralized Variable Frequency Optimal Controller Design for Three-Phase Embedded Grids. . https://doi.org/10.1109/IECON.2019.8927110

In this paper, a novel approach to variable frequency optimal controller design for the application of aircraft embedded grids is presented. Aircraft power grids by industrial standards need to be able to operate across a range of frequencies. Often,... Read More about Fast Self-Tuning Decentralized Variable Frequency Optimal Controller Design for Three-Phase Embedded Grids.

Reuse of a Damaged Permanent Magnet Synchronous Motor for Torque Ripple and Acoustic Noise Elimination using a Novel Repetitive Observer (2019)
Conference Proceeding
Tang, M., Odhano, S., Formentini, A., & Zanchetta, P. (2019). Reuse of a Damaged Permanent Magnet Synchronous Motor for Torque Ripple and Acoustic Noise Elimination using a Novel Repetitive Observer. In 2019 IEEE Energy Conversion Congress and Exposition (ECCE) (334-338). https://doi.org/10.1109/ECCE.2019.8912822

A permanent magnet synchronous motor (PMSM) has its bearing damaged and is irreversibly demagnetized due to overcurrent. Due to the changes in its electromagnetic configuration, the motor suffers from extremely high torque ripple, which produces into... Read More about Reuse of a Damaged Permanent Magnet Synchronous Motor for Torque Ripple and Acoustic Noise Elimination using a Novel Repetitive Observer.

Automated HF Modelling of Induction Machines Considering the Effects of Aging (2019)
Conference Proceeding
Leuzzi, R., Monopoli, V. G., Cupertino, F., & Zanchetta, P. (2019). Automated HF Modelling of Induction Machines Considering the Effects of Aging. In Proceedings: 2019 IEEE Energy Conversion Congress and Exposition (ECCE) (3117-3122). https://doi.org/10.1109/ECCE.2019.8913299

The use of wide bandgap semiconductor devices, such as SiC and GaN MOSFETs, in high-frequency converters introduces new challenges for the design of electric drives. The very fast switching transient of which these devices are capable, in fact, can b... Read More about Automated HF Modelling of Induction Machines Considering the Effects of Aging.

Grid Impedance Identification and Structured-h2 Optimization Based Controller Design of Active Front-end in Embedded AC Networks (2019)
Conference Proceeding
Li, K., Dewar, D., Formentini, A., Zanchetta, P., & Wheeler, P. (2019). Grid Impedance Identification and Structured-h2 Optimization Based Controller Design of Active Front-end in Embedded AC Networks. In 2019 IEEE Energy Conversion Congress and Exposition (ECCE) (4840-4845). https://doi.org/10.1109/ECCE.2019.8912832

The increasing use of power electronics systems and distributed generation in modern power networks has raised important issues regarding the effects that inter-connected converters systems can have on the performance and stability of the whole grid.... Read More about Grid Impedance Identification and Structured-h2 Optimization Based Controller Design of Active Front-end in Embedded AC Networks.

Impact of Converters Interactions on Control Design in a Power Electronics Dense Network: Application to More Electric Aircraft (2019)
Conference Proceeding
Czerniewski, B., Formentini, A., Dewar, D., Zanchetta, P., & Schanen, J. (2019). Impact of Converters Interactions on Control Design in a Power Electronics Dense Network: Application to More Electric Aircraft. In 2019 21st European Conference on Power Electronics and Applications (EPE '19 ECCE Europe). https://doi.org/10.23919/EPE.2019.8915020

The aim of the work described in this paper is to analyze the impact that converters interactions, in a power electronics embedded grid, have on the control performance of each subsystem, with particular focus on More Electric Aircraft (MEA) applicat... Read More about Impact of Converters Interactions on Control Design in a Power Electronics Dense Network: Application to More Electric Aircraft.