Enhancement in Model Predictive Control Technique for Multilevel Converters
This seminar discusses an advanced approach for the multilevel drive system control using Model Predictive Control (MPC) applied to the dual T-type advanced topology. The study is performed while the converter feeds an open-ends induction motor (OEIM). The MPC scheme is developed to balance the DC link capacitors, reduce/mitigate the (common-mode voltage) CMV, and control the machine torque simultaneously. The proposed technique for MPC reduces the number of redundant switching states used in computations without affecting the operating voltage vectors. This reduces the computational time substantially. In addition, the proposed control strategy mitigates the weighting factors tuning problem. MATLAB simulation results for the proposed drive system under different case studies are presented. Hardware experimental setup for the proposed converter is built, tested, and verified. A comparison between experimental and simulation results is presented. It is observed that the theoretical as well as the experimental results are in full agreement
Date and Time
Location
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Registration
- Date: 01 Nov 2023
- Time: 04:00 PM to 05:00 PM
- All times are (UTC-04:00) Eastern Time (US & Canada)
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- 512 South Kanawha Street
- Beckley, West Virginia
- United States WV 25801
- Building: Leonard C. Nelson College of Engineering and Sciences
- Room Number: Library
Speakers
Dr. Aboubakr Salem of WVU Tech
Enhancement in Model Predictive Control Technique for Multilevel Converters
This seminar discusses an advanced approach for the multilevel drive system control using Model Predictive Control (MPC) applied to the dual T-type advanced topology. The study is performed while the converter feeds an open-ends induction motor (OEIM). The MPC scheme is developed to balance the DC link capacitors, reduce/mitigate the (common-mode voltage) CMV, and control the machine torque simultaneously. The proposed technique for MPC reduces the number of redundant switching states used in computations without affecting the operating voltage vectors. This reduces the computational time substantially. In addition, the proposed control strategy mitigates the weighting factors tuning problem. MATLAB simulation results for the proposed drive system under different case studies are presented. Hardware experimental setup for the proposed converter is built, tested, and verified. A comparison between experimental and simulation results is presented. It is observed that the theoretical as well as the experimental results are in full agreement
Biography:
Dr. Aboubakr Salem, Member IEEE ‘14, is an Assistant Professor at West Virginia University- Institute of Technology. He received his B.Sc. and M.Sc. degrees in Electrical Engineering from Helwan University, Egypt, in 2004 and 2009, respectively, and his Ph.D. in Electromechanical Engineering from Ghent University, Belgium, in 2015. Dr. Salem has 18 years of teaching and research experience in many universities in Egypt, Belgium, Saudi Arabia, and the USA.
Dr. Salem’s research interests include power electronic converters’ design using modern Wide-bandgap semiconductors applied to electrical drives, electric vehicles, renewable energy, and smart grid applications. Dr. Salem's funded research includes several international projects, with more than $30 million. He has over 40 publications in reputable journals and conferences and three patents in power electronic converter design and control. Dr. Salem supervised and graduated many Master’s and Ph.D. students. Additionally, he is a reviewer in many reputable journals, i.e., Industrial Electronics and Power Electronics IEEE Transactions.
Email:
Address:Learning Resource Center, Room 300G, 512 South Kanawha Street , Beckley, United States, 25801