Research
Research Interests
- Renewable energy conversion systems (Wind, Solar, Fuel Cell)
- Hybrid power systems
- Electric drives
- Mechatronics and robotics
- Process control
- Power electronics
- Artificial intelligence
- Instrumentation and Measurements
- Real-time simulation and rapid prototyping
Research Projects
Robotics for Retail Applications
In this research, a robot is investigated and built to conduct tasks, in retail environments, such as checking the barcodes and detecting the products availibility. Different technologies are used such as
- )
- GPU for ROS engine - and
- Cameras - &
- Raspberry PI technologies
Power Prediction and Management of Distributed Solar PV with Battery Storage System
Study and Analysis of Industrial Islanded Solar PV Microgrid
An industrial islanded solar PV microgrid, based on Schneider technology, is analysed through studying the behavior of all microgrid components to ensure power balance in the system.
Grid-linked Renewable (Wind, solar) Energy System with Fault Ride Through (FRT) Capability
The integration of wind turbine and photovoltaics into distribution power systems with grid fault ride-through capability is investigated by proposing robust control schemes based on model based control strategies such as predictive control, sliding mode control and feedback linearizing control. In normal grid conditions, the control system regulates the constant dc-link voltage, and it also provides the maximum power transfer to the grid by controlling unity power factor. During grid abnormality, the control system is reorganized to maintain a constant dc-link voltage, prevents the active power and injects a reactive power to support the grid operation. Robustness and efficieciency of the control systems are verified and experimentally validated using a hardware prototype of the renewable energy system connected to an emulated three-phase grid.
Control system under normal grid condition
Control system under grid fault
Power Management and Control of Microgrid Based Renewable Energy Sources
Experimental microgrid based renewable (wind, solar) energy generators with battery storage are developed using Festo (LabVolt) modules driven by the OPAL-RT HIL Real-Time Digital Simulator (OP5600). Control and power management systems are designed to supervise the hybrid energy system by producing appropriate power from the distributed generators. Based on the load demand and the produced power, a supervisory control system regulate the charge-discharge process of the battery bank based on the power demand and generation.
Different control strategies (predictive, feedback linearization, sliding mode, ....) are investigated for controlling various electric drives (permanent magnet synchronous, induction, DC, doubly-fed induction). State estimation schemes, using conventional and artificial intelligence methods, are developed for sensorless operation.
Condition Monitoring and Fault Diagnosis
Detection of fault conditions based on measurements of vibration made on rotary machines and sensors' measurements in various systems is investigated to identify significant changes indicating faults. Different statistical and artificial intelligence tools will be used in the development of fault detection systems.
Development of Power Electronics, Measurement Circuits, and Monitoring Interface for Renewable Energy Experimental Systems
Power electronics and measurement circuits, with monitoring interface, are developed to operate experimental wind and photovoltaic energy systems using different technologies. NI Single-Board RIO General-Purpose Inverter Controller and NI CompactRIO controllers are used to develop the control system with monitoring through LabVIEW interface. Furthermore, Quanser technologies are used in control development using Quarc software. The hybrid renewable energy system is operated through a power management system including control and monitoring.
