A5008728426- Multilevel Inverters and Converters
- Sensorless Control of Electric Motors
- Electric Motor Design and Analysis
- Advanced DC-DC Converters
- Microgrid Control and Optimization
- Induction Heating and Inverter Technology
- Advanced Control Systems Optimization
- Electric Power Systems and Control
- Wind Turbine Control Systems
- Advanced Battery Technologies Research
- Machine Fault Diagnosis Techniques
- Silicon Carbide Semiconductor Technologies
- Power Systems and Renewable Energy
- Integrated Circuits and Semiconductor Failure Analysis
- Control Systems in Engineering
- Control Systems and Identification
- Advanced Control Systems Design
- Hybrid Renewable Energy Systems
- Heat Transfer and Optimization
- Advancements in Battery Materials
- Fault Detection and Control Systems
- Magnetic Properties and Applications
- Heat Transfer and Boiling Studies
- Advanced battery technologies research
University of Nottingham
2019-2025
This paper introduces a novel fault diagnosis approach for two-level Voltage Source Inverters in Motor Drives, using Shallow Neural Networks. A key feature of this study is the implementation three different Classifiers: two are designed to both detect and diagnose faults, while third specialized detection localization. The strategic adoption Networks plays pivotal role substantially reducing computational demands enabling direct utilization raw, normalized data obtained from simulation...
This article investigates an innovative modulation technique for a predictive control applied to synchronous reluctance motor (SyRM) drive. The new formulation of the duty cycles, in both linear and overmodulation regions, relies on identified flux-versus-current characteristics. Furthermore, integral terms have been introduced achieve satisfactory reference tracking performance with zero steady-state error, even under model parameters mismatches. Low current ripple smooth fast dynamic...
This paper investigates a finite-control set model-predictive control (FCS-MPC) algorithm to enhance the performance of synchronous reluctance machine drive. Particular emphasis is placed on definition cost function enabling computationally light implementation while targeting good transient and steady-state performance. In particular, this work proposes inclusion an integral term into ensure zero errors thus compensating for any model inaccuracies. A effort also considered in formulation...
This paper presents a finite control set model predictive (FCS-MPC) method that improves the performance of synchronous reluctance machine drive. As shown, when high sampling-to-switching frequency ratio is used with FCS-MPC, stator current distortions can be significantly reduced, allowing for less losses in machine. Moreover, FCS-MPC steady-state enhanced by introducing an integrating element into cost function to ensure accurate output reference tracking. Finally, adopted drive relies on...
The aim of this manuscript is twofold. Firstly, it presents an analytical approach to study a synchronous reluctance motor drive configured in open-end winding. intention identify the potential benefits floating capacitor configuration over classical single inverter supply terms enlargement constant power speed range. A deep investigation was carried out on how varying voltage level allows modify torque-versus-speed characteristics, enabling work at favorable operating points with high...
This paper presents a neural-based fault diagnosis system for two-level Voltage Source Inverter that is used to drive the Synchronous Reluctance Motors. In particular, three classes are considered: Healthy, Open Circuit Fault (OSF) and Short (SCF). The proposed strategy relies on data generated by mathematical models of OSF SCF together with healthy configuration. For each category fault, multi-switch faults have been emulated. Following acquisition faulty three-phase currents, exploratory...
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 Battery Module structure, where serial connection of cells controlled pattern switches. work contributes improvement powertrain multilevel topologies by adding advantages reconfigurable systems. Compared other topologies, an optimized control algorithm...
In this paper a sensorless control strategy has been implemented and experimentally validated to independently the electromagnetic torque reactive power of doubly-fed induction machine. The machine acts as grid connected generator at variable speed operations around synchronous speed. This is based on model-predictive with governing equations represented in reference frame aligned stator flux. A modulation stage introduced order overcome well-known issues strategies, such high current ripple...
This paper presents a multi-objective model predictive control algorithm to implement the of bidirectional double stage ac-dc power conversion system, used interface Vanadium redox flow battery with grid. The converter topology is based on two stages conversion, consisting in dual active bridge, controlled using phase shift modulation, cascade grid-connected inverter/rectifier. In order charge and discharge battery, dc-link grid current, introduced embedding both single action. computed...
This paper proposes a sensorless cascaded model predictive control strategy applied to doubly-fed induction machine. technique is based on an improved stator flux estimator, and extended Kalman filter encoder-less independently the electromagnetic torque reactive power of The purpose employing predictive-based control, achieve fast dynamic response upgrading it with modulation stage mitigate variables ripple. introduced might be considered for adjustable speed application such as wind energy...
This paper introduces a novel geometric approach to significantly reduce the computational burden of modulated predictive controllers while maintaining same steady-state performance and satisfactory dynamic behavior. The proposed method leverages symmetric properties active vectors with respect zero in two-level inverters. In addition, structure controller is designed include integral error terms, ensuring tracking error. Several operating points are considered compared standard...