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WELCOME TO OUR WEBSITE!

Depending on the resources used to generate electricity, electrification can reduce carbon dioxide (CO₂) emissions from the transportation, building, and industrial sectors. Addressing emissions from these sectors is critical to decarbonizing the economy and, ultimately, mitigating the impacts of climate change. Our team aims to develop the electrification of transportation applications, which includes EV/aerospace motor control, wireless power transfer, dc-dc converter, etc. The final achievement for our team is to create the high-efficient, renewable, sustainable energy that can fully replace fossil fuels (coal, oil, and natural gas)

 

The notable research of Electrical Machines and drives at ABDN occurs in 20 years ago. One of impactful book Electrical Machines and Drives A Space-Vector Theory Approach is written by Peter Vas who is a Professor at University of Aberdeen. Professor Vas and his research team have been at the forefront of sensorless drive developments and are considered to be world-leaders. The new sensorless drive will have advanced features, and it will be possible to operate it in the entire speed region for all loads. To date there is no industrial sensorless drive in the world that can be used at all speeds and for all loads. Professor Vas added, “The range of potential applications for this new drive is enormous. It can be used for a number of applications, including automotive, aerospace, military, and domestic fields.

Our website will show previous research and projects, lectures, and resources in electric power conversion field. The electrification of transportation applications is meaningful to enhance sustainable energy development, which needs further exploration and development. Although the motor drive system is old-fashioned, we can still create something novel and practical to reshape the facany achievement in terms of the power electronics and drives field.

 

Currently, I am working as an Assistant Professor at University of Aberdeen, UK, exploring state-of-the-art techniques in the power electronics and drive control. If you have any thoughts/interests, please contact me via E-mail.

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FUTURE POSSIBLE POWER ELECTRONIC RESEARCH 

I specialized in the finite-state model predictive control, deadbeat predictive control, model-based internal model control, advanced PWM modulation for new topology, linear frequency domain analysis, nonlinear sliding mode control, parameter robustness design, discrete-time domain analysis, multiple-DOF machine control, SiC-MOSFET/GaN/IGBT/SI-MOSFET inverter design, ranging from power 100W-200kW.

University of Aberdeen

School of Engineering, King’s College

Room 145, Fraser Noble Building

Aberdeen, UK, AB24 3UE

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