A5000929206- Multilevel Inverters and Converters
- Sensorless Control of Electric Motors
- Machine Fault Diagnosis Techniques
- Silicon Carbide Semiconductor Technologies
- Advanced DC-DC Converters
- Photovoltaic System Optimization Techniques
- Smart Grid Energy Management
- Power System Reliability and Maintenance
- Fault Detection and Control Systems
- Microgrid Control and Optimization
- Metallurgy and Material Forming
Tunis University
2017-2024
Tunis El Manar University
2017-2024
National Engineering School of Tunis
2021-2024
National Institute of Applied Science and Technology
2014
Abstract In critical industrial applications fault diagnosis and tolerance are considered key features, in order to ensure the required reliability availability levels. this context, paper proposes a new effective diagnostic algorithm for power semiconductors open‐circuit faults, three‐phase, two‐level, voltage‐source inverter‐fed permanent magnet synchronous machine (PMSM). The proposed method is based on analysis of errors between reference currents PMSM stator predictive currents. Hence,...
Availability and continuous operation under critical conditions are very important in electric machine drive systems. Such systems may suffer from several types of failures that affect the or associated voltage source inverter. Therefore, fault diagnosis tolerance highly required. This paper presents a new robust deep learning-based approach to diagnose multiple open-circuit faults three-phase, two-level inverters for induction-motor applications. The proposed uses fault-diagnosis variables...
This paper presents an improved model predictive control (MPC) for permanent magnet synchronous motor (PMSM) fed by a voltage source inverter (VSI), in order to reduce switching losses. The MPC strategy is based on cost function generally established performance purposes and leads states be applied VSI control. In this work, the changing so Simulations are carried out illustrate theoretical development results demonstrate effectiveness of proposed approach.
Availability and continuous operation under critical conditions are very important in electric machine drive systems. However, such systems, suffering from several type of failures that affect the or associated voltage source inverter. Therefore, fault diagnosis tolerance highly required. This paper presents a new robust deep learning-based approach to multiple open-circuit three phase two level inverter for induction motor applications. The proposed uses variables obtained sigmoid...
The energy utilization efficiency of commercial photovoltaic (PV) pumping systems can be significantly improved by employing many MPPT methods available in the literature such as constant voltage, short-Current Pulse, Open Voltage, Perturb and Observe, Incremental-Conductance non-linear (Fuzzy Logic Neural Networks). This paper presents a detailed experimental study two DSP implementation techniques: Constant Voltage Observe "P&O" used for standalone PV systems. influence algorithm...