All Outputs (9)

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.

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.

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.

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.

Common-Mode Voltage Reduction in a VSI Inverter Applying Sequential Predictive Control (2021)
Conference Proceeding

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.

A Study of Cost Function Selection in Model Predictive Control Applications (2021)
Conference Proceeding

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.