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There is now a CONTENT FREEZE for Mercury while we switch to a new platform. It began on Friday, March 10 at 6pm and will end on Wednesday, March 15 at noon. No new content can be created during this time, but all material in the system as of the beginning of the freeze will be migrated to the new platform, including users and groups. Functionally the new site is identical to the old one. webteam@gatech.edu
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The number of publications per year on predictive control doubles every three years. The strong interest in academia is reflected in industry with two recent product releases. Both use model predictive control for high-power variable speed drives, which improves efficiency, increases rated power and lowers the overall system cost. This lecture introduces the main predictive control methods available today in a concise yet intuitively accessible way. The lesser known methods are also discussed, providing a comprehensive introduction to the subject. The first two industrial success stories are presented in detail, and their commercial benefits are explained. The lecture concludes with a critical assessment of the state-of-the-art in predictive control and points out directions for future research.
Speaker Bio:
Tobias Geyer received the Dipl.-Ing. degree in electrical engineering, the Ph.D. in control engineering and the Habilitation degree in power electronics from ETH Zurich in the years 2000, 2005 and 2017, respectively. Having worked for GE Global Research in Germany, the University of Auckland in New Zealand and ABB Corporate Research in Switzerland, Dr. Geyer recently joined ABB's medium-voltage drives business as R&D platform manager.
Dr. Geyer holds 35 patent families, teaches a regular course at ETH Zurich, and was appointed as an extraordinary professor at Stellenbosch University in South Africa. He has received four prize paper awards and is the author of the book "Model predictive control of high power converters and industrial drives". Dr. Geyer is a Distinguished Lecturer of the Power Electronics Society in the years 2020 and 2021.
Register: https://events.vtools.ieee.org/event/register/263588
