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 Speaker(s): Dr. Aboubakr Salem Room: Library, Bldg: Leonard C. Nelson College of Engineering and Sciences, 512 South Kanawha Street, Beckley, West Virginia, United States, WV 25801, Virtual: https://events.vtools.ieee.org/m/380971