All Outputs (165)

Model Predictive Control of a Modular Multilevel Converter with Reduced Computational Burden (2024)
Journal Article

Recent advances in high-power applications employing voltage source converters have been primarily fuelled by the emergence of the modular multilevel converter (MMC) and its derivatives. Model predictive control (MPC) has emerged as an effective way... Read More about Model Predictive Control of a Modular Multilevel Converter with Reduced Computational Burden.

Reduced Computational Burden of Modulated Model-Predictive Control for Synchronous Reluctance Motor Drive Applications (2023)
Conference Proceeding

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.

Artificial Intelligence Techniques for Enhancing the Performance of Controllers in Power Converter-Based Systems—An Overview (2023)
Journal Article

The integration of artificial intelligence (AI) techniques in power converter-based systems has the potential to revolutionize the way these systems are optimized and controlled. With the rapid advancements in AI and machine learning technologies, th... Read More about Artificial Intelligence Techniques for Enhancing the Performance of Controllers in Power Converter-Based Systems—An Overview.

A Reconfigurable Cascaded Multilevel Converter for EV Powertrain (2023)
Journal Article

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.

Model Predictive Control of Modular Multilevel Converter with High Number of Submodules (2023)
Conference Proceeding

This paper proposes a Level Model Predictive Control strategy combined with a pre-processing sorting algorithm to address the processing time issue of predictive control for Modular Multilevel Converters (MMCs) with hundreds of submodules. Five contr... Read More about Model Predictive Control of Modular Multilevel Converter with High Number of Submodules.

Modulated Model-Predictive Integral Control Applied to a Synchronous Reluctance Motor Drive (2023)
Journal Article

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

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

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

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

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.

Reconfigurable Cascaded Multilevel Converter design for Battery Energy System Storage (2022)
Conference Proceeding

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

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

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

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

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

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

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

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

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

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.