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DTSTART:20231105T010000
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DTSTAMP:20231102T162533Z
UID:CCC8375E-170A-4E4E-B9A4-62B388BD4621
DTSTART;TZID=America/New_York:20231101T160000
DTEND;TZID=America/New_York:20231101T170000
DESCRIPTION:This seminar discusses an advanced approach for the multilevel 
 drive system control using Model Predictive Control (MPC) applied to the d
 ual T-type advanced topology. The study is performed while the converter f
 eeds an open-ends induction motor (OEIM). The MPC scheme is developed to b
 alance the DC link capacitors\, reduce/mitigate the (common-mode voltage) 
 CMV\, and control the machine torque simultaneously. The proposed techniqu
 e for MPC reduces the number of redundant switching states used in computa
 tions without affecting the operating voltage vectors. This reduces the co
 mputational time substantially. In addition\, the proposed control strateg
 y mitigates the weighting factors tuning problem. MATLAB simulation result
 s 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 experimen
 tal results are in full agreement\n\nSpeaker(s): Dr. Aboubakr Salem\n\nRoo
 m: Library\, Bldg: Leonard C. Nelson College of Engineering and Sciences\,
  512 South Kanawha Street\, Beckley\, West Virginia\, United States\, WV 2
 5801\, Virtual: https://events.vtools.ieee.org/m/380971
LOCATION:Room: Library\, Bldg: Leonard C. Nelson College of Engineering and
  Sciences\, 512 South Kanawha Street\, Beckley\, West Virginia\, United St
 ates\, WV 25801\, Virtual: https://events.vtools.ieee.org/m/380971
ORGANIZER:charan.litchfield@mail.wvu.edu
SEQUENCE:13
SUMMARY:Enhancement in Model Predictive Control Technique for Multilevel Co
 nverters
URL;VALUE=URI:https://events.vtools.ieee.org/m/380971
X-ALT-DESC:Description: <br /><p>This seminar discusses an advanced approac
 h 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 sch
 eme 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 s
 tates used in computations without affecting the operating voltage vectors
 . This reduces the computational time substantially. In addition\, the pro
 posed control strategy mitigates the weighting factors tuning problem. MAT
 LAB simulation results for the proposed drive system under different case 
 studies are presented. Hardware experimental setup for the proposed conver
 ter is built\, tested\, and verified. A comparison between experimental an
 d simulation results is presented. It is observed that the theoretical as 
 well as the experimental results are in full agreement</p>
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